45196 Global Purchasing Power Parities and Real Expenditures 2005 International Comparison Program Global Purchasing Power Parities and Real Expenditures Global Purchasing Power Parities and Real Expenditures 2005 International Comparison Program © 2008 by the International Bank for Reconstruction and Development/The World Bank 1818 H Street NW Washington , D.C. 20433 U.S.A. Internet: www.worldbank.org This publication is a product of the International Comparison Program, Global Office and the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this publication do not necessarily reflect the views of the Executive Directors of the World Bank or the governments they represent. Rights and permissions The material in this publication is copyrighted. Copying and/or transmitting portions or all of this work without permis- sion may be a violation of applicable law. The International Bank for Reconstruction and Development/The World Bank encourages dissemination of its work and will normally grant permission to reproduce portions of the work promptly. For permission to photocopy or reprint any part of this work, please send a request with complete information to icp@worldbank.org. Contents .......................................................................................... ix Acronyms and Abbreviations. ............................................................................................................................ xi Preface. .......................................................................................................... xiii Acknowledgments. Part I: Purchasing Power Parities and 2005 ICP Results Introduction: The International Comparison Program and Purchasing Power Parities. ............................................................................................ 3 The International Comparison Program ........................................................................................................................... 3 Purchasing Power Parity ................................................................................................................................................... 4 Price Level Indexes........................................................................................................................................................... 4 The Use of PPPs and Market Exchange Rates for International Comparisons .................................................................. 5 Reliability of PPPs and GDP Volume Measures ............................................................................................................... 6 2005 ICP: Results and Major Findings . ...................................................................... 9 Overview ......................................................................................................................................................................... 9 About the Data............................................................................................................................................................... 17 Description of the Tables................................................................................................................................................ 19 Tables of Results...........................................................................................................21  vi Contents Part II: Technical Notes of the 2005 ICP Data Requirements....................................................................................................... 141 National Accounts Data................................................................................................................................................ 141 Price Data: Household Consumption Expenditure....................................................................................................... 142 Representativity and Comparability.............................................................................................................................. 143 Price Data: Government Final Consumption Expenditure............................................................................................ 143 Price Data: Gross Fixed Capital Formation................................................................................................................... 144 Changes in inventories.................................................................................................................................................. 144 Balance of exports and imports..................................................................................................................................... 144 Reference PPPs............................................................................................................................................................. 144 ...................................................................................... 147 Comparison-Resistant Areas. Housing Rent................................................................................................................................................................ 147 Government. ................................................................................................................................................................. 148 .......................................................................................................................................................................... 148 Health. Construction................................................................................................................................................................. 149 Machinery and Equipment. ........................................................................................................................................... 149 Data Validation............................................................................................................. 151 Data Validation: Prices.................................................................................................................................................. 151 Data Validation: National Accounts.............................................................................................................................. 152 Data Issues and Accuracy.............................................................................................................................................. 152 Methodology: Calculating PPPs................................................................................ 155 Overview...................................................................................................................................................................... 155 Annual National Average Prices.................................................................................................................................... 156 Calculating PPPs at the Basic-Heading Level................................................................................................................ 156 PPPs for GDP and its Major Aggregates within a Region.............................................................................................. 158 Combining Regional Results with a Global Comparison: The Ring Comparison . ........................................................ 159 Estimation of PPPs for Nonbenchmark Economies....................................................................................................... 164 Contents vii Appendices A History of The ICP................................................................................................................................................. 167 B Governance of the ICP 2005.................................................................................................................................. 171 C The ICP Classification of Expenditure on GDP. ..................................................................................................... 173 D Productivity Adjustment in the Government Sector. .............................................................................................. 179 E Estimating Average Prices for Household Consumption Items of China................................................................. 181 F Comparison of Methodology Used between ICP and Eurostat-OECD Regions to Compute PPPs and Calibrate Them to the Global Level. ................................................................................................................ 183 G Comparisons of New 2005 PPPs with Those Estimated by Extrapolating from Previous Benchmark Surveys........ 189 H Estimation of Between-Region Linking Factors. ...................................................................................................... 195 I ICP Software.......................................................................................................................................................... 197 Glossary....................................................................................................................... 201 Bibliography. ................................................................................................................. 211 Acronyms and Abbreviations ADB Asian Development Bank EKS Éltetö, Köves, and Szulc AfDB African Development Bank EKS* EKS method extended to include a BOCC Basket of Construction Components stratification of product price within c.i.f. Cost, Insurance, and Freight basic headings into representative and CIS Commonwealth of Independent States nonrepresentative categories CISSTAT Statistical Office of the Commonwealth ESCWA Economic and Social Commission for of Independent States Western Asia COFOG Classification of the Functions of EU European Union Government FISIM Financial Intermediation Services COICOP Classification of Individual Consumption Indirectly Measured According to Purpose f.o.b. Free On Board CPD Country-Product-Dummy GDP Gross Domestic Product CPI Consumer Price Index GFCF Gross Fixed Capital Formation DCF Data Collection Form GK Geary-Khamis DECDG Development Economics Data Group GNI Gross National Income DPM Data Processing Module ICP International Comparison Program DVM Data Validation Module ISTAT Italian National Statistical Office ECC Equipment, Construction, and Lao PDR Lao People’s Democratic Republic Compensation LCU Local Currency Unit ECLAC Economic Commission for Latin America Ln Natural Logarithm and the Caribbean MER Market exchange rate ECP European Comparison Program n.e.c. Not Elsewhere Classified EEC European Economic Community NBS National Bureau of Statistics of China EFTA European Free Trade Association NGO Nongovernmental Organization ix  Acronyms and Abbreviations NPISH Nonprofit Institution Serving Households SPD Structured Product Description OECD Organisation for Economic Co-operation TAG Technical Advisory Group and Development U.K. United Kingdom OEEC Organisation for European Economic UN United Nations Co-operation UNESCAP United Nations Economic and Social PCM Price Collection Module Commission for Asia and the Pacific PLI Price Level Index UNSC United Nations Statistical Commission PPP Purchasing Power Parity UNSD United Nations Statistics Division Rosstat Federal State Statistics Service of the U.S. United States Russian Federation VAT Value Added Tax SGER Secondary (School) Gross Enrollment Rate WDI World Development Indicators SNA System of National Accounts WDM Weights Diagnostic Module Preface This publication presents the results of the 2005 Inter- its successful completion. Many are listed in the acknowl- national Comparison Program (ICP), which was led and edgments that follow. Here we would like to highlight the coordinated by the World Bank during 2003–08. The size efforts of some special groups. and complexity of this important statistical project made We are very pleased to say that the program has greatly it imperative to distribute the tasks by geographic regions. benefited from the overwhelming support it received from Data collection was overseen by regional coordinating agen- national statistical offices and other participating agen- cies, which compiled the results and produced regional esti- cies. The success of such a huge and complex undertaking mates of purchasing power parities (PPPs). Throughout the depends critically on the active cooperation of the agen- process, the regional coordinators worked closely with the cies involved in collecting the data in each economy. Some ICP global office at the World Bank. The strong partnership of the processes we used were new and untested, and the with the Eurostat-OECD and its parallel program made it spirit in which everyone tackled the problems that inevi- possible to combine the results from the two efforts for this tably arose in the course of this groundbreaking work has publication. been truly gratifying. The final step of the ICP has been the linking of regional We would especially like to thank the staff of the regional results into a global data set so that economic activity and coordinating agencies—namely, the African Development price levels can be compared between economies in dif- Bank (AfDB), the Asian Development Bank (ADB), Statis- ferent regions. These global results were produced using a tics Canada, the Economic Commission for Latin America new technique known as the “ring comparison.” This pub- and the Caribbean (ECLAC), the Economic and Social lication comprises the results for 146 economies obtained Commission for Western Asia (ESCWA), the Statistical through this linking process. The number of participating Office of the Commonwealth of Independent States (CIS- economies far exceeds that of previous rounds. STAT), the Federal State Statistics Service of the Russian On behalf of the World Bank and the ICP Executive Federation (Rosstat), and the Bureau of Economic Analysis Board, we would like to thank all those who have contrib- (Moscow)—which have invested so much effort into set- uted to making the 2005 ICP such a resounding success. ting up regional product lists, training statistical office staff It has been a great team effort. We cannot give credit, in in the concepts underlying PPPs, and addressing the practi- this limited space, to all of the individuals responsible for cal issues associated with collecting and editing the data xi xii Preface and compiling the PPPs and related statistics for each of We would like to congratulate the global office team the regions. We also want to thank Eurostat and OECD for at the World Bank. They have faced many challenges and providing their experience, expertise, and overall support obstacles over the past four years or so, but their perse- for the regional and ring comparisons. verance and unwavering commitment to the project have When the United Nations Statistical Commission gave ultimately helped them overcome all the odds. They have the go-ahead to this ICP round at its 2002 meeting, it succeeded not only in producing a very important set of emphasized that the project had to have a strong gover- statistical indicators but also in refining important concepts nance structure. The Executive Board was set up to provide underlying international comparisons, developing new tools this governance. The Board and its members have had a to make data collection and compilation easier and more major impact on the program, and we would like to thank transparent, and setting up a firm basis on which future them all for their contributions. ICPs can be launched. The project would not have been such a success with- We hope that users will find the report useful. These out the invaluable inputs from members of the Technical data represent the most comprehensive survey of prices Advisory Group. We appreciate the wholehearted and ever undertaken. As with any statistical exercise, there are enthusiastic manner in which they conducted their vari- limitations to the data, and these are highlighted in the ous discussions—both at meetings in Washington and via report. We welcome any comments and suggestions for emails. their improvement. Our special thanks go to the major donors, whose con- Finally, to everyone involved in this enormous task, tributions were so important in bringing the program to thanks very much for a job well done! fruition. Contributors to the Global Trust Fund include the U.K. Department for International Development, the International Monetary Fund, the Australian Agency for Dennis Trewin Shaida Badiee International Development, and the United Nations Devel- Chairman Director opment Programme. The World Bank made significant con- ICP Executive Board Development Data Group tributions to both the global and regional programs, as did World Bank numerous regional agencies. Acknowledgments The ICP shares a common technical language and concep- The 2005 ICP methodology was reengineered to over- tual framework with national statistical programs for mea- come previous problems. The Technical Advisory Group suring consumer prices indexes (CPI) and their national (TAG) led by Alan Heston made significant contribu- accounts. The very essence of the ICP is based on com- tions. The other TAG members were Angus Deaton, Erwin parability of results between economies, strict adherence Diewert, Paul Konijn, Paul McCarthy, Prasada Rao, David to time schedules, and a common understanding of data- Roberts, Sergey Sergeev, Silke Stapel, and Kim Zieschang. sharing and confidentiality requirements. There is no other The global office of the ICP was located in the World statistical program requiring so much cooperation between Bank’s Development Data Group (DECDG), led by national, regional, and international organizations. Shaida Badiee, Director, and Misha Belkindas, Manager. The successful completion of ICP 2005 is a tribute to The ICP team responsible for the overall global coordina- the organizations and people who worked in partnership to tion and technical support comprised Olga Akcadag, Yonas carry out the work program. The strength of the program Biru,Yuri Dikhanov, Nada Hamadeh, and Virginia Romand. came from the division of the work program into five ICP Recognition for their efforts is also given to former ICP regions that worked in parallel with the Eurostat-OECD team members Giuliana Cane, Farah Hussain, Jinsook Lee, PPP program so that all data could be combined into a and Siew Hua Lee. Other members of DECDG providing set of global results. The technical and managerial leader- valuable support to the ICP included Azita Amjadi, Lisa ship furnished by all in partnership sets the example for Burke, Sebastian Dessus, Olivier Dupriez, Ramgopal Era- future international programs. Although the donors to the belly, Richard Fix, Omar Hadi, Barbro Hexeberg, Hulda global trust fund have been noted, special thanks also go Hunter, Soong Sup Lee, Vilas Mandlekar, Changqing Sun, to the Canadian International Development Agency for its and Eric Swanson. financial support of the South America program, and to the The complexity of the program required input from Arab Development Fund in its support of Western Asia. this large group of technical experts who served as consul- The recent contribution from the Islamic Development tants to the program: Sultan Ahmed, Derek Blades, Steven Bank will form a strong basis for the program to move into Burdette, Peter Hill, Anil Sawhney, and Kenneth Walsh. the next round. Each of the regional coordinating organiza- The overall leadership and policy making came from tions also provided financial support, either in-kind, with the ICP Executive Board, which included high-level lead- funds, or both. ership from international, regional, and national statistics xiii xiv Acknowledgments organizations. The Board members and associated represen- Statistics Service of the Russian Federation and Mikhail tatives included Dennis Trewin, Chair; Ifzal Ali and Bishnu Korolov, Commonwealth of Independent States, Russia; Pant, Asian Development Bank; Shaida Badiee, World Bank; Mervat Tallawy, UN Economic and Social Commission Paul Cheung, United Nations; Rob Edwards, IMF; David for Western Asia; and Fuzhan Xie and Langhui Huang, Fenwick, Office of National Statistics, United Kingdom; National Bureau of Statistics, China. Enrico Giovannini, OECD; Peter Harper, Australian Bureau To all, it was a great privilege and pleasure to have of Statistics; Ben Kiregyera, UN Economic Commission for the opportunity to work with such dedicated people and Africa; Charles Lufumpa and Michel Mouyelo-Katoula, organizations. African Development Bank; Luis Machinea, Economic Commission for Latin America; Lars Norlund and Peter Everaers, Eurostat; Jacob Ryten, Statistics Canada; Pronab Frederic A. Vogel Sen, Ministry of Statistics and Programme Implementation, Global Manager India; Vladimir Sokolin and Andrey Kosarev, Federal State International Comparison Program Pa rt I Purchasing Power Parities and 2005 ICP Results Introduction: The International Comparison Program and Purchasing Power Parities The International Comparison Program output and the standard of living of its residents. In fact, the prices of many goods and services within economies are The International Comparison Program (commonly known determined in partial or complete isolation from the rest as the “ICP”) is a worldwide statistical initiative to collect of the world. Therefore, SNA93 recommends that the real comparative price data and estimate purchasing power par- value of economic activity be determined using purchasing ities (PPPs) of the world’s economies. Using PPPs instead of power parities. The need for a more meaningful tool for market exchange rates to convert currencies makes it pos- comparing the real domestic product between economies sible to compare the output of economies and the welfare led to the creation of the International Comparison Pro- of their inhabitants in real terms (that is, controlling for gram (ICP) in 1968 and the publication of PPP estimates in differences in price levels). 1970. The increasing use of PPPs by researchers, businesses, The System of National Accounts, 1993 (SNA93) pro- and international institutions has made the ICP a truly vides a common international framework for the measure- global program now covering more than 140 economies. ment of economic activity. Gross domestic product (GDP) This report brings together the results of two separate is the measure most often used to quantify economies’ eco- PPP programs. The first is the global ICP program conducted nomic activity, and GDP and consumption per capita are by the ICP global office within the World Bank, which pro- basic indicators of economic productivity and well-being. vided overall coordination for the collection of data and But the conversion of output or expenditures, measured calculation of PPPs in more than 100 (mostly developing) in the local currency of one economy, to a common unit of economies. The program was organized into five geographic account for comparison or aggregation with that of other areas: Africa, Asia-Pacific, Commonwealth of Independent economies is not a trivial problem. The standard method States, South America, and Western Asia. Regional agencies has been to use market exchange rates. However, market took the lead in coordinating the work in the five regions. exchange rates are determined by the demand for, and sup- In parallel, the Statistical Office of the European Com- ply of, currencies used in international transactions. They munities (Eurostat) and the Organisation for Economic do not necessarily reflect differences in price levels and may Co-operation and Development (OECD) conducted therefore under- or overstate the real value of an economy’s their 2005 PPP program, which comprised 46 economies.   Global Purchasing Power Parities and Real Expenditures Eurostat covered 37 economies: the 25 European Union rency will purchase in country B. PPPs can be expressed in (EU) member states; the European Free Trade Association the currency of either of the countries. In practice, they are (EFTA) economies (Iceland, Norway, and Switzerland); and usually computed among large numbers of countries and Albania, Bosnia-Herzegovina, Bulgaria, Croatia, Macedo- expressed in terms of a single currency, with the U.S. dol- nia, Montenegro, Romania, Serbia, and Turkey. The OECD lar (US$) most commonly used as the base or “numeraire” part of the program included 9 other economies: Australia, currency. Canada, Israel, Japan, the Republic of Korea, Mexico, New Take the familiar “Big Mac Index” as an example. If a Zealand, the Russian Federation, and the United States. Big Mac hamburger costs 4.00 U.S. dollars in the United The main reasons for conducting the ICP on a regional States and 4.80 euros in France, then the PPP for a Big Mac basis are that the products to be priced are more homoge- from the French viewpoint is 0.83 U.S. dollars to the euro. neous within regions, the expenditure patterns are likely From the American viewpoint, it is 1.20 euros to the U.S. to be more similar, and language differences are reduced. dollar. This means that for every euro spent on Big Macs in Moreover, dividing the ICP organization among a number France, it would be necessary to spend 0.83 U.S. dollars in of regional offices in relatively close proximity to the econ- the United States to obtain the same quantity and quality omies they are coordinating provides operational benefits. of Big Macs. Conversely, for every U.S. dollar spent on Big The ICP global office has combined the results from Macs in the United States, it would be necessary to spend each of the five regions with those from the Eurostat- 1.20 euros in France to obtain the same quantity and qual- OECD PPP program into an overall global comparison, so ity of Big Macs. that results for all participating economies can be compared The Big Mac is a single, standard product. The aim of the directly. The ring comparison (described on page 159, was ICP is to produce PPPs that take into account the relative developed specifically to link the regional PPPs without prices among many countries for a broad range of goods changing the relative results within a region (see page 163, and services, including not only consumer products but “Fixity”). In other words, the starting point was the final also capital and government expenditures, which together results computed by each region. The ring comparison pro- make up GDP. vided regional scalars by which economies’ data at each level of aggregation were converted to a global level (that Price Level Indexes is, the relative comparisons between economies within a region remained the same in the global comparison). For Comparing PPPs at the level of GDP with market exchange that reason, the global PPP results were not reviewed by rates provides a measure of the average cost of goods and national statistical authorities before publication. services in one economy when purchased using currencies (Appendix A provides a more detailed overview of converted at prevailing exchange rates. The ratio of a PPP the history of the ICP and its relationship to the Eurostat- to a corresponding market exchange rate is called a price OECD program. Appendix B describes the governance and level index (PLI). A PLI of 100 indicates that price levels the management of the ICP and how that related to the are the same as those in the base country or the world aver- Eurostat-OECD program. Appendix C shows the Eurostat- age. The PLI with the United States = 100 is simply the OECD classification of expenditures on the GDP used by PPP divided by the exchange rate to the United States. The both programs as a starting point to select products to be PLI with the world = 100 is the PLI to the United States priced and also as the basis for the first level at which PPPs multiplied by the ratio of the world total PPP expenditures are estimated.) to world total exchange rate expenditures for each level of aggregation. The detailed data tables show the PLI for the world = 100 to remove the effect of the exchange rate of Purchasing Power Parity the U.S. dollar. A purchasing power parity between two countries, A and Returning to the Big Mac example, if the market B, is the ratio of the number of units of country A’s cur- exchange rate is 1.00 U.S. dollar to 0.67 euros, then the rency needed to purchase in country A the same quantity PLI for a Big Mac with the United States as the base is of a specific good or service as one unit of country B’s cur- 179 (1.20/0.67*100). This indicates that given the relative Introduction  purchasing power of the U.S. dollar and the euro, a Big Mac PPPs) when calculating growth rates for a single economy. costs 79 percent more in France than in the United States. However, in computing regional (or world) growth rates, the Travelers exchanging their dollars to euros would notice sizes of the economies matter: national GDPs and aggregates this immediately. are first converted to a common currency and then summed PPPs between any pair of countries change slowly, to regional (or world) totals, from which growth rates are whereas market exchange rates can change quickly. Sud- computed. The appropriate conversion factor is provided den changes in PLIs result mainly from changes in market by PPPs. Developing economies have often had (at least exchange rates. When market exchange rates change rapidly, in the past decade) higher rates of economic growth than a PLI for a country could change too in a short time, indicat- developed economies. As a result, the global growth rates ing that a country that was relatively cheap has now become computed with PPP-based activity levels tend to be higher relatively expensive compared with the base country. than those computed using market exchange rates. The rea- son is that the developing economies have a higher weight in the PPP-based regional totals (both levels and growth The Use of PPPs and Market Exchange rates) than those based on market exchange rates. Rates for International Comparisons The initial rounds of the ICP in the 1970s focused PPPs are the preferred means of converting the value of mainly on what are referred to as “volumes” or “real expen- the GDP and its components to a common currency. They ditures” of GDP, its major components, and their per capita enable cross-country comparisons of the sizes of econo- estimates. PPPs were seen mainly as providing a stepping- mies, average consumption levels, poverty rates, productiv- stone from national accounts expressed in national curren- ity, and the use of resources. However, PPPs should not be cies to volumes expressed in a common currency. In recent used for all international comparisons; for example, market times, economic analysts have shown increasing interest in exchange rates should be used to measure international PPPs in their own right as a measure of relative price levels trade, capital flows, or the values of foreign debt. between economies. PPPs adjust for differences in price levels between A major use of the PPP results is the estimation of the economies, which may not be reflected in market exchange widely used “dollar-a-day” international poverty threshold. rates, at least in the short run. Market exchange rates are PPP results also enter the estimation of the United Nations the prices at which currencies trade in international mar- Human Development Index and Gender Empowerment kets. Because developing economies tend to have relatively Measure, allow the World Health Organization to use health lower wages leading to lower prices for nontraded goods expenditures per capita to assess health inequality across and services, a unit of local currency has greater purchas- economies, and provide the basis for international orga- ing power within a developing economy than it does in nizations to design effective aid programs. The European the global market. Consequently, the GDP of a develop- Commission relies on PPP-based indicators to allocate the ing economy and the consumption of its residents will Structural and Cohesion Funds across member economies. typically be underestimated if market exchange rates are Purchasing power measures are also useful for policy used to compare their value with those of high-income makers at the national level. For example, with the inter- economies. Although differences in price levels are gener- nationally comparable data, policy makers can draw on the ally less pronounced among economies at similar levels of experience of other economies by comparing the data for development, large and rapid movements of exchange rates the components of the GDP and their relationship to eco- can alter the apparent size of economies or the perceived nomic growth. Similar analyses can inform policy makers welfare of their residents. For example, the Euro exchange of their economy’s comparative advantage by examining rate has changed from US$ 0.853 in October 2000 to US$ which goods or services are relatively cheap or expensive 1.562 in March 2008, but that does not mean that the wel- compared with those of other economies. fare of Euro area countries has changed accordingly in rela- Purchasing power parities allow comparisons between tion to the United States in that time. economies of expenditure shares or price levels for com- There is no need to convert from national currencies to ponents such as food, health care, and investments. For a common currency (whether by market exchange rates or example, capital goods tend to be relatively more expensive  Global Purchasing Power Parities and Real Expenditures than consumer goods in developing economies, while ser- prices become the same. If the urban-to-rural price differ- vices tend to be cheaper. Comparisons between economies entials are similar across economies, any bias will tend to at this level provide another view of what is contributing to cancel out in the estimation of PPPs; if not, results for some differences in growth rates between economies. economies may be biased, up or down, depending on the The PPP-based measures of the GDP are needed to extent of over- or underrepresentation of urban and rural compare volume measures with other economic variables. areas. Additional detail about estimating PPPs for large Examples include the following: economies follows in box 1. m Carbon emissions per unit of GDP To minimize this potential bias, each ICP region pre- m Energy use per unit of GDP pared its own list of goods and services to be priced so that m GDP per employee they would better reflect the characteristics of the econo- m GDP per hour worked mies in its region. The need to deal with the wide diver- sity of sizes, urbanization, and performance of economies The first two are useful for environmental comparisons, in each region was considered at every step leading to the while the latter two provide important comparisons of estimation of PPPs. productivity. Therefore, caution should be used when comparing economies by the size of their GDP or in per capita expen- ditures. Mindful that there may be errors in the calculation Reliability of PPPs and GDP of GDP and population sizes, as well as in the estimation Volume Measures of PPPs, small differences should not be considered signifi- Purchasing power parities are statistical estimates. Like all cant. It is generally accepted that differences in GDP of statistics, they are point estimates that fall within some less than 5 percent lie within the margin of error of the margin of error of the unknown, true values. The error PPP estimation. Rather than ranking economies, it is pref- margins surrounding the PPPs depend on the reliability of erable to group economies by broad size categories. Cau- the expenditure weights and the price data and how well tion should also be exercised about making comparisons the goods and services that were priced represent the con- of price levels or per capita expenditures at low levels of sumption pattern and price levels of each participating aggregation, where small errors may lead to large discrep- economy. As with national accounts data generally, it is not ancies. Some areas such as housing and health are more possible to calculate precise error margins for PPPs or the difficult to measure, and services in general are more diffi- real expenditure data derived from them. cult to price than are goods; therefore, comparisons of these The 2005 ICP included economies ranging from city- components have wider measures of error than those for states to large and diverse countries such as China, India, food products. and Indonesia, which collectively account for more than PPPs should not be used as indicators of the under- or 40 percent of the world’s population and include many overvaluation of currencies, nor should they be interpreted people living in remote, rural locations. These and simi- as equilibrium exchange rates. The PPPs cover all of GDP lar economies had to produce national average prices for valued at purchaser’s prices, which include both traded and goods and services that were comparable with those of nontraded goods. Exchange rates, unlike PPPs, reflect the other economies in their region. The accuracy of the PPPs demand for currencies as a medium of exchange, specula- for these economies depends upon the extent to which the tive investments, or official reserves. Exchange rates should selected goods and services were representative of their be used to price international transactions and to make entire economy and on their ability to provide nationally comparisons between economies of international debt, the representative average prices. The need to measure prices flow of international capital, and the export and import of for internationally comparable goods and services means goods and services. that they are more likely to reflect consumption patterns of The PPPs in this report are not comparable with previ- urban areas. It is also true that many household goods and ous PPPs published by the World Bank in the World Devel- services are available only in towns, so the urban and rural opment Indicators (WDI) or other publications. Introduction  The 2005 PPPs are derived from a global program of price surveys carried out using similar methods in 146 economies. Box 1 The previous benchmark estimates were based on surveys Estimating PPPs for large carried out between 1993 and 1996 in a limited number economies of developing economies and on more recent surveys in OECD and CIS economies conducted in 2002 and 2000, Obtaining national prices for a list of comparable products respectively. Many economies were included for the first poses special problems for large, diverse economies and espe- time in 2005, including China. Previous estimates of Chi- cially those with large, rural populations. The sample sizes and na’s PPPs came from a research study using data for 1986. number of data collection centers required to collect the data India participated for the first time since 1985. Because of needed to estimate national average prices exceed the capacity the old vintage of Indian data, a regression was used instead even of advanced economies. Eurostat economies, for example, for the PPP estimate in the WDI (for the methodology, see collect prices only in urban areas and use other sources to adjust “Estimation of PPPs for nonbenchmark economies”). Since these to the national level. In the case of China, it was agreed the last round of price collections, PPPs have been extrap- that China would collect prices for 11 municipalities, includ- olated forward using ratios of price indexes (either GDP ing their surrounding rural areas, and that the World Bank and deflators or consumer price indexes). In addition, the new the Asian Development Bank (ADB) would extrapolate these 2005 PPPs are based on a different methodology designed to national average prices. The method adopted by the World to overcome problems encountered in previous rounds of Bank and ADB matched urban and rural areas of the 11 mu- the ICP. Therefore, users should be cautious about making nicipalities to the 31 provinces of China. However, the rural comparisons with previous estimates of PPP-based GDP areas included in the surveys may not have been representative and components. What can be said is that the new ICP of those in the rest of China. See appendix E, which provides a results substantially revise our view of the world economy. more detailed explanation. (Additional detail about the comparability with previous The overrepresentation of urban areas was not unique to estimates is contained in appendix G.) China. Brazil, for example, collected prices in only 6 cities. The overall ICP was designed and conducted to provide Other economies in the South America region conducted price comparable results between economies across different collection in urban areas only. Because PPPs are based on a mul- regions. However, because of the difficulties of measuring tilateral comparison within each region, biases in data collec- housing and government compensation, different methods tion should largely cancel out if all economies within a region were used to compute housing PPPs in Asia-Pacific and are similarly treated. In the Asia-Pacific region, the extent of Africa and government PPPs in Asia-Pacific, Africa, and urban bias in China’s PPP measurements will depend on how Western Asia from those used in the other regions. different were its data collection procedures—and the resulting (Appendixes F and G provide a detailed overview of the computation of national average prices—compared with those methodological differences that may affect comparability of other economies in its region. India, for example, collected of the new results with those from the past, as well as com- both urban and rural prices for food, clothing, footwear, and parisons between regions.) education. Prices for all other components of the GDP were PPPs provide a measure of the overall price level of an collected in 31 urban centers. However, because most goods economy, but they may not reflect the expenditure pat- other than food are produced and purchased in the cities, the terns of the poor. Nor do they capture differences in price urban prices of those goods can be considered representative levels within an economy. Additional data and analysis will of the national prices. Further sensitivity analysis of the results be necessary before international poverty rates can be esti- will be needed to quantify the extent of this bias, if any. mated; direct application of these PPPs to the estimation of poverty levels and rates may yield misleading results. 2005 ICP: Results and Major Findings Overview vided prices for more than 1,000 goods and services. New and innovative data validation tools were implemented to The 2005 International Comparison Program has produced improve data quality. Initial calculations of PPPs were con- estimates of the relative price levels of GDP and its princi- ducted at the regional level. In addition, a representative pal aggregates for 146 economies. These purchasing power group of economies, selected from each region, priced a parities express the values of local currencies in relation to common set of goods and services. PPPs were calculated a common currency. In this report, the common currency separately for this “ring” and used to calibrate the regional is the U.S. dollar in 2005. When applied to the value of PPPs to the global level. It is these global PPPs that are now GDP or any component of GDP, the resulting values reflect reported here. Like the regional results, they have been the real value of consumption in each economy, corrected benchmarked to 2005, regardless of the year in which data for differences in price levels and unaffected by transitory collection took place. movements of exchange rates. This report provides PPPs The new benchmark results replace the PPPs and related and related measures for GDP, actual individual consump- measures derived from previous surveys conducted dur- tion by households, collective consumption of governments, ing 1993–96 (for most developing economies) and 2000 and gross fixed capital formation. Additional tables provide and 2002 (for the CIS and the Eurostat-OECD). Data the same data for several important components of the for the economies in the 1993–96 benchmark had been GDP (such as food, clothing, and housing, to name a few). extrapolated forward and backward, using domestic price The 146 economies account for more than 95 percent of indexes. Because such extrapolations happen at an aggre- the world’s population and 98 percent of the world’s nomi- gate level, they cannot capture changes in relative prices at nal GDP. Table 8 lists the economies not included in the the detailed level of the original surveys. Furthermore, the 2005 benchmark surveys along with estimates of their PPP- 2005 ICP covered a much broader set of goods and services based GDP per capita (computed as described in the sec- and, in most economies, collected more prices for them. tion “Estimation of PPPs for nonbenchmark economies”). (Appendix G provides more detail about the changes in This was the most extensive and thorough effort ever to scope, coverage, and methodology that affected the com- measure PPPs across economies. Teams in each region iden- parison of the previously estimated PPPs with those com- tified characteristic goods and services to be priced. Surveys ing from the 2005 benchmark surveys. The appendix also conducted by each economy during 2005 and 2006 pro- includes a table showing the comparison by economy.)  10 Global Purchasing Power Parities and Real Expenditures Figure 1 World Shares: GDP-PPP vs GDP-US$ GDP-PPP GDP-US$ 3% 7% 19% 32% 32% 78% high-income economies middle-income economies low-income economies Source: 2005 ICP. Compared with previous estimates, the size of develop- 19 to 32 percent of the world economy when using PPPs ing economies has decreased by 7 percentage points. The instead of exchange rates to calibrate the data to a com- global GDP shares of the largest developing economies are mon currency. The 2005 ICP results show that developing also smaller. China, which was previously estimated to have economies (low- and middle-income economies1 ) make 14 percent of global GDP, now has 10. And the estimate up a significant share of the world economy:2 around 39 of India’s share has been revised from 6 to 4 percent. But percent. However, disparities remain striking. Low-income it must be emphasized that these are changes in estimates, economies, which include 35 percent of the world’s popu- the previous ones having been based on very old and very lation, produce 7 percent of global GDP. Middle-income limited data. The real outputs of their economies have not economies, with 48 percent of world’s population, pro- changed, only the way we measure them has. This illustrates duce 32 percent of global GDP. The GDP of high-income why it is important to have new benchmark surveys because the extrapolation procedures do not capture the structural 1. The categorization of countries (as adopted by the World Bank) changes taking place within economies over time. is based on the following cutoffs: low-income countries have per capita gross national incomes (measured using exchange rates) below $905; middle-income countries have per capita gross The Size of Economies national incomes (measured using exchange rates) above $905 and below $11,115; high-income countries have per capita gross Figure 1 shows the distribution of World GDP to low- national incomes above $11,115. , middle-, and high-income economies when using PPPs 2. In what follows, “the world” should be understood as the sum of and average exchange rates. Note that the world share of countries participating in the ICP. Countries not participating are the GDP for middle-income economies increases from not considered in the discussion. 2005 ICP: Results and Major Findings 11 economies accounts for 61 percent of the world economy, received by only 17 percent of the world’s population. Table 1 Table 1 shows the share of the world GDP by the larg- World shares of GDP est countries. Note that when measured using PPPs, 2005 world GDP is 55 trillion dollars, or 24 percent larger than Gross domestic product as share GDP converted to U.S. dollars using market exchange of global GDP rates. The reason is that exchange rates tend to understate Share of PPP-based Market exchange rates global GDP (percentage) (percentage) the purchasing power of the currencies of less developed economies. This effect is particularly noticeable for low- United States 22.5 27.9 and lower-middle-income economies. For example, India’s China 9.7 5.1 share of global GDP in 2005 is slightly greater than 4.3 Japan 7.0 10.3 percent when measured using PPP-based GDP, but only Germany 4.6 6.3 1.8 percent when measured using market exchange rates. India 4.3 1.8 Using the new PPP estimates of GDP, the United United Kingdom 3.5 5.1 States remains the largest economy in the world, with a France 3.4 4.8 world share of 22.5 percent, followed by China with 9.7 Russian Federation 3.1 1.7 and Japan with 7.0. Of the 12 largest economies, which Italy 3.0 4.0 together account for two-thirds of global GDP, 5 are low- Brazil 2.9 2.0 or middle-income economies: Brazil, China, India, Mexico, Spain 2.2 2.5 and Russia, which collectively account for almost 22 per- Mexico 2.1 1.7 cent of global GDP. In each region,3 some major players emerge. Africa’s Source: 2005 ICP. economy is dominated by the Arab Republic of Egypt, Morocco, Nigeria, South Africa, and Sudan, which collec- tively account for two-thirds of the region’s GDP.4 Brazil accounts for one-half of the South America economy. Rus- overall distribution of economies’ PPP-based GDP per cap- sia dominates the Commonwealth of Independent States ita provides a reliable picture of the distribution of average (CIS) with three-fourths of the total GDP. In the Asia- income between economies. PPP estimates show substantial Pacific region, China and India take the largest share, with income inequalities among economies, although the degree almost two-thirds of regional GDP. In Western Asia, Egypt5 of inequality is less than if GDP per capita were measured and Saudi Arabia account for more than three-fifths of the using market exchange rates. In 2005, the PPP-based GDP regional GDP. 3. Membership in a “region” is defined by its participation in one Measures of Living Standards of the five regional rounds of the ICP program or in the Eurostat- OECD program. While most countries are classified according Table 2 shows that the economies with the highest GDP to their geographical location, this is not the case for countries belonging to the Eurostat-OECD grouping. Eurostat covered 37 per capita are Luxembourg, Qatar, Norway, Brunei Darus- economies: the 25 European Union (EU) member states, the Euro- salam, and Kuwait, all very small and accounting for less pean Free Trade Association (EFTA) economies (Iceland, Norway, than 1 percent of the world economy in total. The econo- and Switzerland), and Albania, Bosnia-Herzegovina, Bulgaria, mies with the lowest GDP per capita, all in Africa, are the Croatia, Macedonia, Montenegro, Romania, Serbia, and Turkey. The OECD part of the program included nine other economies: Democratic Republic of Congo, Liberia, Guinea-Bissau, Australia, Canada, Israel, Japan, the Republic of Korea, Mexico, Niger, and Ethiopia. New Zealand, the Russian Federation, and the United States. Because of margins of error inherent to any similar sta- 4. Algeria did not participate in the ICP. It is probably the largest tistical exercise, particularly in poor economies with low nonparticipating economy. statistical capacity, little significance should be attached 5. Egypt participated in both the Africa and Western Asia to small differences in estimated values. Nevertheless, the comparisons. 12 Global Purchasing Power Parities and Real Expenditures Table 2 Economies with the Highest and Lowest GDP per Capita GDP per capita GDP per capita Highest (percent of world average) Lowest (percent of world average) Luxembourg 780 Congo, Dem. Rep. 2.9 Qatar 765 Liberia 4.3 Norway 530 Guinea-Bissau 6.3 Brunei Darussalam 529 Niger 6.5 Kuwait 501 Ethiopia 6.6 Source: ICP 2005. per capita of 17 economies was less than $1,000 (or less tion expenditure by government, and gross fixed capital than 11 percent of the world average). In the richest 39 formation. economies, GDP per capita exceeded $20,000, which was Per capita measures of PPP-based GDP are useful for more than double the world average of $8,900. comparing average living standards in different econo- Figure 2 shows the distribution of the global GDP by mies. The Eurostat-OECD region has the highest GDP per economy. The economies are arranged in the order of GDP capita, by a wide margin. The CIS is next, ahead of South per capita along the horizontal axis and presented as rect- America and Western Asia. angles. The rectangle’s length along the horizontal scale cor- responds to each economy’s share of the world population. Actual Individual Consumption Correspondingly, the GDP per capita as a percentage of the world average is shown on the vertical axis. The economy’s Actual individual consumption (figure 3) is measured by GDP size would be then represented by the rectangle area the total value of household final consumption expendi- for each economy, which is the product of population and ture, expenditures by nonprofit institutions serving house- GDP per capita and thus would be directly comparable holds (such as nongovernmental organizations [NGOs] and among economies. As the economies are shown in increas- charities), and government expenditure on individual con- ing order of real GDP per capita, the United States with the sumption goods and services (such as education or health). sixth largest GDP per capita is placed at the right, with the On average, individual consumption constitutes 69 percent remaining countries reflected by the dark line because of of GDP. Therefore, the regional distribution of individual their small population. The intersection of the 100 percent consumption per capita is very similar to that of GDP per line with the rectangles shows that about three-fourths of capita. However, some differences can be seen in the Asia- the world population is in economies with per capita GDP Pacific and Western Asia regions, where consumption shares below the world average. are lower and investment rates are higher. Even though China’s and India’s per capita consump- tions are both less than half of the world average, their Collective Government Consumption economies rank number two and five, respectively, which shows the effect of their large populations accounting for Collective government consumption (figure 3) consists of about 40 percent of the world total. expenditures incurred by general and local governments Figure 3 shows per capita measures by region for for collective consumption services such as defense, justice, GDP, actual individual consumption, collective consump- general administration, and the protection of the environ- 2005 ICP: Results and Major Findings 13 Figure 2 Distribution of Global GDP by Economy 500 United States United Kingdom 400 Germany real GDP per capital, WORLD = 100 Japan France Italy 300 200 Russia Mexico Brazil 100 Indonesia China Nigeria Pakistan India Bangladesh 0 0 10 20 30 40 50 60 70 80 90 100 cumulative share of global population, percent (Countries are in the order of increasing real GDP per capita; area of each rectangle corresponds to the share in global GDP of the corresponding country.) Source: 2005 ICP. Note: The economies with the highest GDP per capita, Luxembourg, Qatar, Norway, Brunei Darussalam, and Kuwait, are not shown in this figure because together they account for less than 1 percent of the world economy in total; and the United States is the sixth largest. ment. Per capita expenditures for collective government regional dispersion of GDP per capita, investment expen- exceeded the other categories in Asia, South America, and ditures per capita appear to be less unequally distributed Western Asia and were the only component for the latter across regions. In particular, differences between the Asia- two regions that were greater than the world average. Pacific, CIS, South America, and Western Asia regions nar- row. On the other hand, Africa lags far behind, reflecting low investment efforts from national and foreign investors, Gross Fixed Capital Formation plus high investment prices. Gross fixed capital formation (figure 3) measures invest- In figure 4, a more detailed picture of per capita expen- ment expenditures, which mostly comprise purchases of diture is provided by the chart showing the variation of per equipment and construction services. Compared with the capita expenditures for the major categories of the GDP. 14 Global Purchasing Power Parities and Real Expenditures Figure 3 Per Capita GDP, Actual Individual Consumption, General Government, and Gross Fixed Capital Formation by Regions (per capita, PPP-based, world = 100) 350 300 250 200 150 100 50 0 Africa Asia-Pacific CIS OECD-Eurostat South America Western Asia gross domestic product actual individual consumption collective consumption expenditure by government gross fixed capital formation Source: 2005 ICP. The variation across countries is measured by the coeffi- rate. PLIs are generally low in the poorer economies. This cient of variation; each bar shows the variation from the reflects the common experience of travelers who find many world average and includes two-thirds of the countries. (but not all) of the goods and services in the poorest econo- The per capita expenditures for food and nonalcoholic mies relatively cheap compared with similar products in beverages show the least variation across economies com- their home economy. Figure 5 provides a multidimensional pared with the other categories. The chart also shows that comparison of the per capita GDP scaled to the size of the basic categories such as food, health, education, and the economy with its price level index. But one can also housing show the least variability across countries, with the see from figure 5 that for similar per capita GDP levels, spread increasing for categories reflecting those beyond the PLIs can differ widely across economies. The PLI in Ice- basic necessities. The range in per capita expenditures for land is about 60 percent larger than in the United States. miscellaneous goods and categories continuing down the Average prices in Fiji are almost three times higher than chart are more than double that shown for food. in Bolivia. One can also see that after a certain level of per capita expenditures is reached, there is a rapid rise in prices rather than continued increase in expenditures. The Price Level Indexes PLIs also show the relative difference between real expen- A price level index (PLI) is the ratio of a PPP to a cor- ditures and those based on exchange rates. For example, responding exchange rate. PLIs are used to compare price the real GDP is double that of the exchange rate GDP for levels between economies. They indicate the price of GDP countries with a PLI of .50. Similarly, the real GDP for (or its components) in an economy if it were “purchased” countries with a PLI greater than 100 is reduced by the after acquiring local currency at the prevailing exchange size of the PLI. 2005 ICP: Results and Major Findings 15 Figure 4 Cross-country Differences in Indexes of Real Expenditures per Capita, by Product Groups (coefficient of variation) –2 –1.5 –1 –0.5 0 0.5 1 1.5 2.0 food and nonalcoholic beverages education health housing, water, electricity, gas, and other fuels communication furnishings, household equipment, and maintenance clothing and footwear transport construction miscellaneous goods and services alcoholic beverages, tobacco, and narcotics machinery and equipment recreation and culture restaurants and hotels other products Source: 2005 ICP. Price level indexes can be computed for each compo- countries. Machinery and equipment prices vary the least nent of GDP, showing relative prices of actual individual across countries, evidenced by the fact that those purchases consumption, collective government consumption, and in most countries are imported and thus have prices based gross fixed capital formation. Figure 6 provides a view of the on the exchange rate. The variation in price levels for health price levels of the four major aggregates of the GDP. The and education are the greatest, with education almost three first thing to note is the disparity in price levels between times that of food. the Eurostat-OECD and the rest of the world; its prices Figure 8 shows the percent difference between real are above the world average for all categories, while other and nominal expenditure for the same categories included regions are all below average. In all regions except Euro- in figure 7. The first thing to note is that education and stat-OECD and Western Asia, gross fixed capital formation health, which show the greatest variation in price levels is the most expensive component of GDP. In Eurostat- across countries, were also the two categories showing the OECD, government consumption is the most expensive greatest difference between nominal and real expenditures, component, particularly for the economies with the highest followed by construction. All represent nontradable cat- GDP per capita, such as Denmark, Iceland, Luxembourg, egories more influenced by lower costs of labor and materi- Norway, and Switzerland. In contrast, the PLI for collec- als. The reason that there is little difference between the tive government consumption is lowest in the Africa, Asia- nominal and real expenditures for items such as food and Pacific, and South America regions. clothing, for example, is because the high price levels in the Figure 7 provides a more detailed view of price levels Eurostat-OECD offset the effect of the lower prices in the for additional categories of the GDP. It shows the differ- other regions when viewing the results at the global level. ences in the PLI across countries using the coefficient of The same reason applies to the machinery, transport, and variation, which is the range in values of two-thirds of the restaurant categories. 16 Global Purchasing Power Parities and Real Expenditures Figure 5 PLI vs. GDP per Capita (United States = 100) Economies are presented by spheres, the size of which is proportional to GDP in PPP terms. Country spheres are color-coded by ICP region. 150 Iceland 125 Luxembourg price level index (United States = 100) 100 United States Fiji 75 Qatar 50 China Congo, Dem. Rep. India 25 Bolivia 0 100 1,000 10,000 100,000 GDP per capita, US$ in PPP terms Source: 2005 ICP. 2005 ICP: Results and Major Findings 17 Figure 6 PLI, GDP Components by Regions 160 140 120 price level index 100 80 60 40 20 0 Africa Asia-Pacific CIS OECD-Eurostat South America Western Asia gross domestic product actual individual consumption collective consumption expenditure by government gross fixed capital information Source: 2005 ICP. Figure 7 Cross-country differences in prices level indexes, by product groups (coefficient of variation) –1.5 –1 –0.5 0 0.5 1 1.5 machinery and equipment food and nonalcoholic beverages furnishings, household equipment, and maintenance recreation and culture other products clothing and footwear transport communication restaurants and hotels miscellaneous goods and services alcoholic beverages, tobacco, and narcotics construction housing, water, electricity, gas, and other fuels health education Source: WDI. 18 Global Purchasing Power Parities and Real Expenditures Figure 8 Percent Difference Between Global Real and Nominal per Capita Expenditures –40 –20 0 40 60 80 100 120 140 160 education health construction housing, water, electricity, gas, and other fuels communication alcoholic beverages, tobacco, and narcotics food and nonalcoholic beverages miscellaneous goods and services clothing and footwear furnishings, household equipment, and maintenance recreation and culture other products machinery and equipment transport restaurants and hotels Source: 2005 ICP. About the Data organizations may not have the most current information or they may publish numbers based upon their own expert The purchasing power parities and the derived indicators in analysis. this report are the product of a joint effort by national sta- tistical offices, regional coordinators, and the global office. PPPs cannot be computed in isolation by a single econ- Reference Periods omy. However, each economy is responsible for submit- The reference period for household consumption includ- ting official estimates of 2005 gross domestic product and ing housing and government was 2005. Data for equipment its components, population counts, and average exchange and construction were collected mostly in the second half rates. The regional coordinators worked with the national of 2006, with some Africa countries continuing into first statistical offices to review the national accounts data to quarter 2007. The data were taken “as is” because of the ensure that they conformed to the standards of the System lack of quarterly deflators to calibrate them to 2005. of National Accounts, 1993. Similar reviews were conducted for population and exchange rate data. Effect of Methodology on Comparability The tables of global results reflect the data for GDP, population, and exchange rates shown in the regional Three regions, Asia-Pacific, Africa, and Western Asia, applied publications. In some cases, these data differ from those a productivity adjustment to compute the government published elsewhere by the World Bank or by other inter- PPPs in their regions (described in appendix D). The pro- national organizations. One reason is that the international ductivity adjustment takes into account that more devel- 2005 ICP: Results and Major Findings 19 oped economies have more capital per worker, and thus taking the geometric mean of the PPPs, allowing Egypt to higher output per worker, than do the poorer economies. be shown in each region with the same ranking in the world The Eurostat-OECD, CIS, and South America regions did comparison. not adjust their government PPPs for productivity because CIS region. Russia participated in the price collection there is less difference in capital-labor ratios among their for both the CIS and OECD comparisons. As with Egypt, economies. Productivity adjustments were not used in the PPPs for Russia were computed separately for the OECD ring comparison to link the regions. Housing PPPs were and CIS comparisons. However, the CIS region did not par- imputed in Asia-Pacific and Africa using the reference vol- ticipate in the ring. Therefore, following past practices, the ume approach. South America and the CIS region used CIS region was linked to Eurostat-OECD, using Russia as quantity and quality indicators to estimate housing PPPs; a link. For comparison purposes, Russia is shown in both the Eurostat-OECD and Western Asia regions used a com- regions in the report. (See appendix F.) bination of rental data, as well as quantity and quality indi- Zimbabwe’s official exchange rate indicates a severe cators. The regions were linked using quantity and quality misalignment with the rate at which transactions actually indicators to mitigate the effect of the different methods occur because of a very high inflation. Only PPP-based used across the regions (see appendix F for more details). numbers are shown for that country. Imputation of National Accounts Components Description of the Tables Some economies in Africa did not submit price data for one The summary table provides GDP per capita in PPP or more basic headings within government compensation, and U.S. dollar terms; GDP total (in billions) in PPP and equipment, and construction, but they were able to provide exchange rate terms; the GDP price level index; GDP per data from their national accounts for all components of the capita indexes for both the United States equal to 100 and GDP. To provide real GDPs for all economies, results for the the world equal to 100; PPPs for the U.S. dollar; exchange missing categories were imputed using results from econo- rates to the U.S. dollar; and total population in millions. mies within each region providing full results. These econo- Tables 1 through 11 are based on index calculations, mies were Angola, Burkina Faso, Comoros, Cape Verde, the using the Èltetö, Köves, and Szulc (EKS) method. Although Democratic Republic of Congo, Djibouti, Gabon, Guinea- the EKS is considered the most appropriate method to com- Bissau, Guinea, Liberia, Lesotho, Maldives, Morocco, Mau- pare the different aggregates of the GDP across economies, ritania, Namibia, Rwanda, São Tomé and Principe, Sudan, the expenditures by aggregate are not additive to higher Swaziland, Togo, Uganda, and Zimbabwe. The imputation levels of aggregation. methods are described in appendix F. Table 1 presents PPPs for the expenditure on GDP and its major components (actual individual consumption, col- lective government consumption, and gross fixed capital Country Notes formation) in national currency per U.S. dollar. China submitted prices for 11 administrative areas and the Table 2 shows the price level index expressed relative to urban and rural components. The World Bank and the Asian the world average. A price level that exceeds 100 indicates Development Bank extrapolated these 11 city prices to the that the level of prices in that economy are higher than the national level. (Details on the calculation of the national world average. annual averages for China can be found in appendix E.) Table 3 shows the expenditures in national currencies Egypt participated in both the Africa and Western converted to U.S. dollars at exchange rates (referred to as Asia ICP programs by providing prices for the products “nominal expenditures”), which reflect price and volume included in each comparison. Therefore, it was possible to differences between economies. Values for stocks and net compute PPPs for Egypt separately for Africa and Western exports are included. Asia. Both regions included Egypt results in their regional Table 4 presents real expenditures in U.S. dollars reports. Egypt appears in the global report in both regions. (referred to as “international dollars”), which are expendi- The results for Egypt from each region were averaged by tures in national currencies converted using PPPs. Expendi- 20 Global Purchasing Power Parities and Real Expenditures tures so converted reflect only volume differences between Table 9 gives the nominal expenditures of each econ- economies. omy or region as a share of the world total. Table 5 shows nominal expenditures per capita in U.S. Table 10 gives the real (PPP-converted) expenditures of dollars, computed using table 3 values divided by each each economy or region as a share of the world total. economy’s population. Table 11 provides the distribution of each economy’s Table 6 provides real (PPP-converted) expenditures per expenditures in nominal terms across the components of capita, obtained by dividing table 4 data by population. the GDP. Table 7 gives the index of nominal expenditures per All tables present the results by region for the 146 capita (world = 100). This is the country per capita value as economies that participated in the 2005 ICP compari- a measure of the world average. son. Regional and global totals and averages are included, Table 8 gives the index of real expenditures (PPP-con- where relevant. Regional classifications are based on ICP verted) per capita (world = 100). This is the country per regions, which differ from those used by other international capita value as a ratio of the world average. programs. Tables of Results 21 Tables of Results 23 2005 ICP Global Results: Summary Table Price GDP per GDP per capita Gross domestic Gross domestic level capita indices indices product per capita product, billions index (U.S. = 100) (world = 100) Shares (world = 100) PPP Reference Data U.S. exchange ratea populationb Economy PPP US$ PPP US$ = 100 PPP US$ PPP US$ @PPP @US$ population US$=1 (US$=1) million Africa Angola 3,533 1,945 55.0 30.3 55 8.5 4.7 39.4 26.9 0.10 0.07 0.25 44.49 80.79 15.56 Benin 1,390 579 10.5 4.4 42 3.3 1.4 15.5 8.0 0.02 0.01 0.12 219.58 527.47 7.53 Botswana 12,057 5,712 20.5 9.7 47 28.9 13.7 134.4 79.0 0.04 0.02 0.03 2.42 5.11 1.70 Burkina Faso 1,140 433 14.6 5.5 38 2.7 1.0 12.7 6.0 0.03 0.01 0.21 200.23 527.47 12.80 Burundic … … … … 32 … … … … … … 0.12 342.96 1,081.58 7.55 Cameroon 1,995 950 35.0 16.6 48 4.8 2.3 22.2 13.1 0.06 0.04 0.29 251.02 527.47 17.53 Cape Verde 2,831 2,215 1.4 1.1 78 6.8 5.3 31.6 30.6 0.00 0.00 0.01 69.36 88.65 0.48 Central African Republic 675 338 2.7 1.4 50 1.6 0.8 7.5 4.7 0.00 0.00 0.07 263.74 527.47 4.00 Chad 1,749 690 14.9 5.9 39 4.2 1.7 19.5 9.5 0.03 0.01 0.14 208.00 527.47 8.52 Comoros 1,063 611 0.6 0.4 57 2.6 1.5 11.9 8.5 0.00 0.00 0.01 226.19 393.38 0.61 Congo, Dem. Rep. 264 120 15.7 7.1 45 0.6 0.3 2.9 1.7 0.03 0.02 0.97 214.27 473.91 59.52 Congo, Rep. 3,621 1,845 12.0 6.1 51 8.7 4.4 40.4 25.5 0.02 0.01 0.05 268.76 527.47 3.32 Côte d’Ivoire 1,575 858 30.1 16.4 55 3.8 2.1 17.6 11.9 0.05 0.04 0.31 287.49 527.47 19.10 Djibouti 1,964 936 1.5 0.7 48 4.7 2.2 21.9 12.9 0.00 0.00 0.01 84.69 177.72 0.75 Egypt, Arab Rep.d 5,049 1,412 353.4 98.8 28 12.1 3.4 56.3 19.5 0.64 0.22 1.14 1.62 5.78 70.00 Equatorial Guinea 11,999 6,538 12.2 6.6 54 28.8 15.7 133.7 90.4 0.02 0.01 0.02 287.42 527.47 1.01 Ethiopia 591 154 42.5 11.1 26 1.4 0.4 6.6 2.1 0.08 0.02 1.18 2.25 8.67 72.06 Gabon 12,742 6,190 17.8 8.7 49 30.6 14.9 142.0 85.6 0.03 0.02 0.02 256.23 527.47 1.40 Gambia, The 726 192 1.1 0.3 26 1.7 0.5 8.1 2.7 0.00 0.00 0.02 7.56 28.58 1.46 Ghana 1,225 502 26.1 10.7 41 2.9 1.2 13.7 6.9 0.05 0.02 0.35 3,720.59 9,073.80 21.34 Guinea 946 317 8.8 2.9 33 2.3 0.8 10.5 4.4 0.02 0.01 0.15 1,219.35 3,644.33 9.28 Guinea-Bissau 569 234 0.8 0.3 41 1.4 0.6 6.3 3.2 0.00 0.00 0.02 217.30 527.47 1.33 Kenya 1,359 531 47.9 18.7 39 3.3 1.3 15.1 7.3 0.09 0.04 0.58 29.52 75.55 35.27 Lesotho 1,415 777 2.6 1.4 55 3.4 1.9 15.8 10.7 0.00 0.00 0.03 3.49 6.36 1.87 Liberia 383 188 1.2 0.6 49 0.9 0.5 4.3 2.6 0.00 0.00 0.05 0.49 1.00 3.23 Madagascar 988 320 16.8 5.5 32 2.4 0.8 11.0 4.4 0.03 0.01 0.28 649.57 2,005.72 17.05 Malawi 691 230 8.6 2.9 33 1.7 0.6 7.7 3.2 0.02 0.01 0.20 39.46 118.42 12.40 Mali 1,027 468 12.1 5.5 46 2.5 1.1 11.5 6.5 0.02 0.01 0.19 240.09 527.47 11.73 Mauritania 1,691 631 4.8 1.8 37 4.1 1.5 18.8 8.7 0.01 0.00 0.05 98.84 264.80 2.84 Mauritius 10,155 5,053 12.6 6.3 50 24.4 12.1 113.2 69.9 0.02 0.01 0.02 14.68 29.50 1.24 Morocco 3,547 1,952 107.1 59.0 55 8.5 4.7 39.5 27.0 0.19 0.13 0.49 4.88 8.87 30.20 Mozambique 743 347 14.4 6.7 47 1.8 0.8 8.3 4.8 0.03 0.02 0.32 10,909.45 23,323.00 19.42 Namibia 4,547 3,049 9.3 6.2 67 10.9 7.3 50.7 42.2 0.02 0.01 0.03 4.26 6.36 2.04 Niger 613 264 7.7 3.3 43 1.5 0.6 6.8 3.6 0.01 0.01 0.21 226.66 527.47 12.63 Nigeria 1,892 868 247.3 113.5 46 4.5 2.1 21.1 12.0 0.45 0.26 2.13 60.23 131.27 130.70 Rwanda 813 271 7.2 2.4 33 2.0 0.7 9.1 3.8 0.01 0.01 0.14 186.18 557.81 8.80 São Tomé and Principe 1,460 769 0.2 0.1 53 3.5 1.8 16.3 10.6 0.00 0.00 0.00 5,558.09 10,558.00 0.15 Senegal 1,676 800 18.1 8.7 48 4.0 1.9 18.7 11.1 0.03 0.02 0.18 251.67 527.47 10.82 Sierra Leone 790 293 4.0 1.5 37 1.9 0.7 8.8 4.0 0.01 0.00 0.08 1,074.12 2,899.20 5.10 South Africa 8,477 5,162 397.5 242.0 61 20.3 12.4 94.5 71.4 0.72 0.55 0.77 3.87 6.36 46.89 Sudan 2,249 994 79.6 35.2 44 5.4 2.4 25.1 13.7 0.14 0.08 0.58 107.68 243.61 35.40 (continued) 24 Global Purchasing Power Parities and Real Expenditures 2005 ICP Global Results: Summary Table, Cont. Price GDP per GDP per capita Gross domestic Gross domestic level capita indices indices product per capita product, billions index (U.S. = 100) (world = 100) Shares (world = 100) PPP Reference Data U.S. exchange ratea populationb Economy PPP US$ PPP US$ = 100 PPP US$ PPP US$ @PPP @US$ population US$=1 (US$=1) million Africa, CONT. Swaziland 4,384 2,270 4.9 2.6 52 10.5 5.4 48.9 31.4 0.01 0.01 0.02 3.29 6.36 1.13 Tanzania 1,018 360 35.9 12.7 35 2.4 0.9 11.3 5.0 0.07 0.03 0.58 395.63 1,119.36 35.30 Togo 888 405 4.6 2.1 46 2.1 1.0 9.9 5.6 0.01 0.00 0.09 240.38 527.47 5.21 Tunisia 6,461 2,896 64.8 29.0 45 15.5 6.9 72.0 40.0 0.12 0.07 0.16 0.58 1.30 10.03 Uganda 991 345 26.3 9.1 35 2.4 0.8 11.0 4.8 0.05 0.02 0.43 619.64 1,780.67 26.49 Zambia 1,175 636 13.4 7.3 54 2.8 1.5 13.1 8.8 0.02 0.02 0.19 2,414.81 4,463.50 11.44 Zimbabwee 538 … 6.2 … … 1.3 … 6.0 … 0.01 … 0.19 33,068.18 … 11.53 Total 2,223 1,016 1,835.6 839.2 46 5.3 2.4 24.8 14.1 3.34 1.89 13.47 825.74 Asia/Pacific Bangladesh 1,268 446 173.8 61.2 35 3.0 1.1 14.1 6.2 0.32 0.14 2.24 22.64 64.33 136.99 Bhutan 3,694 1,318 2.3 0.8 36 8.9 3.2 41.2 18.2 0.00 0.00 0.01 15.74 44.10 0.63 Brunei Darussalam 47,465 25,754 17.6 9.5 54 113.9 61.8 529.1 356.2 0.03 0.02 0.01 0.90 1.66 0.37 Cambodia 1,453 454 20.1 6.3 31 3.5 1.1 16.2 6.3 0.04 0.01 0.23 1,278.55 4,092.50 13.83 Chinaf 4,091 1,721 5,333.2 2,243.8 42 9.8 4.1 45.6 23.8 9.70 5.06 21.27 3.45 8.19 1,303.72 Hong Kong, China 35,680 26,094 243.1 177.8 73 85.6 62.6 397.7 360.9 0.44 0.40 0.11 5.69 7.78 6.81 Macao, China 37,256 24,507 17.6 11.6 66 89.4 58.8 415.3 338.9 0.03 0.03 0.01 5.27 8.01 0.47 Taiwan, China 26,069 15,674 590.5 355.1 60 62.6 37.6 290.6 216.8 1.07 0.80 0.37 19.34 32.17 22.65 Fiji 4,209 3,558 3.5 3.0 85 10.1 8.5 46.9 49.2 0.01 0.01 0.01 1.43 1.69 0.84 India 2,126 707 2,341.0 778.7 33 5.1 1.7 23.7 9.8 4.26 1.76 17.97 14.67 44.10 1,101.32 Indonesia 3,234 1,311 707.9 287.0 41 7.8 3.1 36.1 18.1 1.29 0.65 3.57 3,934.26 9,704.74 218.87 Iran, Islamic Rep. 10,692 3,190 734.6 219.2 30 25.7 7.7 119.2 44.1 1.34 0.49 1.12 2,674.76 8,963.96 68.70 Lao PDR 1,811 508 10.2 2.9 28 4.3 1.2 20.2 7.0 0.02 0.01 0.09 2,988.38 10,655.20 5.65 Malaysia 11,466 5,250 299.6 137.2 46 27.5 12.6 127.8 72.6 0.54 0.31 0.43 1.73 3.79 26.13 Maldives 4,017 2,552 1.2 0.7 64 9.6 6.1 44.8 35.3 0.00 0.00 0.00 8.13 12.80 0.29 Mongolia 2,643 915 6.7 2.3 35 6.3 2.2 29.5 12.7 0.01 0.01 0.04 417.22 1,205.22 2.55 Nepal 1,081 343 27.4 8.7 32 2.6 0.8 12.0 4.7 0.05 0.02 0.41 22.65 71.37 25.34 Pakistan 2,396 769 368.9 118.4 32 5.7 1.8 26.7 10.6 0.67 0.27 2.51 19.10 59.51 153.96 Philippines 2,932 1,158 250.0 98.7 39 7.0 2.8 32.7 16.0 0.45 0.22 1.39 21.75 55.09 85.26 Singapore 41,479 26,879 180.1 116.7 65 99.5 64.5 462.4 371.8 0.33 0.26 0.07 1.08 1.66 4.34 Sri Lanka 3,481 1,218 68.5 24.0 35 8.4 2.9 38.8 16.8 0.12 0.05 0.32 35.17 100.50 19.67 Thailand 6,869 2,721 444.9 176.2 40 16.5 6.5 76.6 37.6 0.81 0.40 1.06 15.93 40.22 64.76 Vietnam 2,142 637 178.1 52.9 30 5.1 1.5 23.9 8.8 0.32 0.12 1.36 4,712.69 15,858.90 83.12 Total 3,592 1,462 12,020.7 4,892.6 41 8.6 3.5 40.0 20.2 21.87 11.04 54.61 3,346.29 CIS Armenia 3,903 1,523 12.6 4.9 39 9.4 3.7 43.5 21.1 0.02 0.01 0.05 178.58 457.69 3.22 Azerbaijan 4,648 1,604 38.4 13.3 35 11.2 3.8 51.8 22.2 0.07 0.03 0.13 1,631.56 4,727.00 8.27 Belarus 8,541 3,090 83.5 30.2 36 20.5 7.4 95.2 42.7 0.15 0.07 0.16 779.33 2,153.82 9.78 Georgia 3,505 1,427 15.3 6.2 41 8.4 3.4 39.1 19.7 0.03 0.01 0.07 0.74 1.81 4.36 (continued) Tables of Results 25 2005 ICP Global Results: Summary Table, Cont. Price GDP per GDP per capita Gross domestic Gross domestic level capita indices indices product per capita product, billions index (U.S. = 100) (world = 100) Shares (world = 100) PPP Reference Data U.S. exchange ratea populationb Economy PPP US$ PPP US$ = 100 PPP US$ PPP US$ @PPP @US$ population US$=1 (US$=1) million CIS, CONT. Kazakhstan 8,699 3,771 131.8 57.1 43 20.9 9.0 97.0 52.2 0.24 0.13 0.25 57.61 132.88 15.15 Kyrgyz Republic 1,728 478 8.9 2.5 28 4.1 1.1 19.3 6.6 0.02 0.01 0.08 11.35 41.01 5.14 Moldova 2,362 831 8.5 3.0 35 5.7 2.0 26.3 11.5 0.02 0.01 0.06 4.43 12.60 3.59 Russian Federationg 11,861 5,341 1,697.5 764.4 45 28.5 12.8 132.2 73.9 3.09 1.73 2.34 12.74 28.28 143.11 Tajikistan 1,413 338 9.7 2.3 24 3.4 0.8 15.8 4.7 0.02 0.01 0.11 0.74 3.12 6.85 Ukraine 5,583 1,829 263.0 86.1 33 13.4 4.4 62.2 25.3 0.48 0.19 0.77 1.68 5.12 47.11 Total 9,202 3,934 2,269.2 970.0 43 22.1 9.4 102.6 54.4 4.13 2.19 4.02 246.58 OECD-Eurostat Albania 5,369 2,587 16.8 8.1 48 12.9 6.2 59.9 35.8 0.03 0.02 0.05 48.56 100.78 3.14 Australia 32,798 34,774 671.5 712.0 106 78.7 83.4 365.6 480.9 1.22 1.61 0.33 1.39 1.31 20.47 Austria 34,108 37,056 280.8 305.1 109 81.8 88.9 380.2 512.5 0.51 0.69 0.13 0.87 0.80 8.23 Belgium 32,077 35,852 336.0 375.5 112 77.0 86.0 357.6 495.8 0.61 0.85 0.17 0.90 0.80 10.47 Bosnia and Herzegovina 6,506 3,007 25.0 11.6 46 15.6 7.2 72.5 41.6 0.05 0.03 0.06 0.73 1.57 3.84 Bulgaria 9,353 3,525 72.2 27.2 38 22.4 8.5 104.3 48.8 0.13 0.06 0.13 0.59 1.57 7.72 Canada 35,078 35,133 1,133.0 1,134.8 100 84.2 84.3 391.0 485.9 2.06 2.56 0.53 1.21 1.21 32.30 Croatia 13,232 8,749 58.8 38.9 66 31.8 21.0 147.5 121.0 0.11 0.09 0.07 3.94 5.95 4.44 Cyprus 24,473 22,359 18.6 16.9 91 58.7 53.7 272.8 309.2 0.03 0.04 0.01 0.42 0.46 0.76 Czech Republic 20,281 12,190 207.6 124.8 60 48.7 29.3 226.1 168.6 0.38 0.28 0.17 14.40 23.95 10.23 Denmark 33,626 47,793 182.2 259.0 142 80.7 114.7 374.8 661.0 0.33 0.58 0.09 8.52 5.99 5.42 Estonia 16,654 10,341 22.4 13.9 62 40.0 24.8 185.6 143.0 0.04 0.03 0.02 7.81 12.58 1.35 Finland 30,469 37,262 159.8 195.4 122 73.1 89.4 339.6 515.4 0.29 0.44 0.09 0.98 0.80 5.25 France 29,644 34,008 1,862.2 2,136.3 115 71.1 81.6 330.4 470.3 3.39 4.82 1.03 0.92 0.80 62.82 Germany 30,496 33,849 2,514.8 2,791.3 111 73.2 81.2 339.9 468.1 4.57 6.30 1.35 0.89 0.80 82.46 Greece 25,520 22,285 282.8 247.0 87 61.2 53.5 284.5 308.2 0.51 0.56 0.18 0.70 0.80 11.08 Hungary 17,014 10,962 171.6 110.6 64 40.8 26.3 189.7 151.6 0.31 0.25 0.16 128.51 199.47 10.09 Iceland 35,630 54,975 10.5 16.3 154 85.5 131.9 397.2 760.3 0.02 0.04 - 97.06 62.91 0.30 Ireland 38,058 48,405 157.9 200.8 127 91.3 116.2 424.2 669.5 0.29 0.45 0.07 1.02 0.80 4.15 Israel 23,845 19,749 156.7 129.8 83 57.2 47.4 265.8 273.1 0.28 0.29 0.11 3.72 4.49 6.57 Italy 27,750 30,195 1,626.3 1,769.6 109 66.6 72.5 309.3 417.6 2.96 3.99 0.96 0.88 0.80 58.61 Japan 30,290 35,604 3,870.3 4,549.2 118 72.7 85.4 337.6 492.4 7.04 10.27 2.09 129.55 110.22 127.77 Korea, Rep. 21,342 16,441 1,027.4 791.4 77 51.2 39.5 237.9 227.4 1.87 1.79 0.79 788.92 1,024.12 48.14 Latvia 13,218 7,035 30.4 16.2 53 31.7 16.9 147.3 97.3 0.06 0.04 0.04 0.30 0.56 2.30 Lithuania 14,085 7,530 48.1 25.7 53 33.8 18.1 157.0 104.1 0.09 0.06 0.06 1.48 2.78 3.41 Luxembourg 70,014 80,315 32.6 37.3 115 168.0 192.7 780.4 1,110.8 0.06 0.08 0.01 0.92 0.80 0.47 Macedonia, FYR 7,393 2,858 15.0 5.8 39 17.7 6.9 82.4 39.5 0.03 0.01 0.03 19.06 49.30 2.03 Malta 20,410 14,605 8.2 5.9 72 49.0 35.0 227.5 202.0 0.01 0.01 0.01 0.25 0.35 0.40 Mexico 11,317 7,401 1,175.0 768.4 65 27.2 17.8 126.1 102.4 2.14 1.73 1.69 7.13 10.90 103.83 Montenegro 7,833 3,564 4.9 2.2 45 18.8 8.6 87.3 49.3 0.01 0.01 0.01 0.37 0.80 0.62 Netherlands 34,724 38,789 566.6 632.9 112 83.3 93.1 387.1 536.5 1.03 1.43 0.27 0.90 0.80 16.32 (continued) 26 Global Purchasing Power Parities and Real Expenditures 2005 ICP Global Results: Summary Table, Cont. Price GDP per GDP per capita Gross domestic Gross domestic level capita indices indices product per capita product, billions index (U.S. = 100) (world = 100) Shares (world = 100) PPP Reference Data U.S. exchange ratea populationb Economy PPP US$ PPP US$ = 100 PPP US$ PPP US$ @PPP @US$ population US$=1 (US$=1) million OECD-Eurostat, CONT. New Zealand 24,554 26,538 100.7 108.8 108 58.9 63.7 273.7 367.0 0.18 0.25 0.07 1.54 1.42 4.10 Norway 47,551 65,267 219.8 301.7 137 114.1 156.6 530.0 902.7 0.40 0.68 0.08 8.84 6.44 4.62 Poland 13,573 7,965 518.0 304.0 59 32.6 19.1 151.3 110.2 0.94 0.69 0.62 1.90 3.24 38.16 Portugal 20,006 17,599 211.0 185.7 88 48.0 42.2 223.0 243.4 0.38 0.42 0.17 0.71 0.80 10.55 Romania 9,374 4,575 202.7 98.9 49 22.5 11.0 104.5 63.3 0.37 0.22 0.35 1.42 2.91 21.62 Russian Federationg 11,861 5,341 1,697.5 764.4 45 28.5 12.8 132.2 73.9 3.09 1.73 2.34 12.74 28.28 143.11 Serbia 8,609 3,564 64.1 26.5 41 20.7 8.6 96.0 49.3 0.12 0.06 0.12 27.21 65.72 7.44 Slovak Republic 15,881 8,798 85.6 47.4 55 38.1 21.1 177.0 121.7 0.16 0.11 0.09 17.20 31.04 5.39 Slovenia 23,004 17,558 46.0 35.1 76 55.2 42.1 256.4 242.8 0.08 0.08 0.03 147.04 192.65 2.00 Spain 27,270 26,031 1,183.5 1,129.7 95 65.4 62.5 304.0 360.0 2.15 2.55 0.71 0.77 0.80 43.40 Sweden 31,995 39,621 288.9 357.8 124 76.8 95.1 356.6 548.0 0.53 0.81 0.15 9.24 7.46 9.03 Switzerland 35,520 49,675 266.3 372.4 140 85.2 119.2 395.9 687.0 0.48 0.84 0.12 1.74 1.25 7.50 Turkey 7,786 5,013 561.1 361.3 64 18.7 12.0 86.8 69.3 1.02 0.82 1.18 0.87 1.35 72.07 United Kingdom 31,580 37,266 1,901.7 2,244.1 118 75.8 89.4 352.0 515.4 3.46 5.06 0.98 0.65 0.55 60.22 United States 41,674 41,674 12,376.1 12,376.1 100 100.0 100.0 464.5 576.4 22.51 27.93 4.85 1.00 1.00 296.97 Total 26,404 26,191 36,469.0 36,173.8 99 63.4 62.8 294.3 362.2 66.34 81.64 22.54 1,381.18 South America Argentina 11,063 4,836 419.0 183.2 44 26.5 11.6 123.3 66.9 0.76 0.41 0.62 1.27 2.90 37.88 Bolivia 3,618 1,001 34.1 9.4 28 8.7 2.4 40.3 13.9 0.06 0.02 0.15 2.23 8.07 9.43 Brazil 8,596 4,791 1,583.2 882.5 56 20.6 11.5 95.8 66.3 2.88 1.99 3.01 1.36 2.43 184.18 Chile 12,262 7,305 199.6 118.9 60 29.4 17.5 136.7 101.0 0.36 0.27 0.27 333.69 560.09 16.28 Colombia 6,306 2,940 263.7 122.9 47 15.1 7.1 70.3 40.7 0.48 0.28 0.68 1,081.95 2,320.75 41.82 Ecuador 6,533 2,761 86.3 36.5 42 15.7 6.6 72.8 38.2 0.16 0.08 0.22 0.42 1.00 13.22 Paraguay 3,900 1,267 23.0 7.5 32 9.4 3.0 43.5 17.5 0.04 0.02 0.10 2,006.83 6,177.96 5.90 Peru 6,466 2,916 176.0 79.4 45 15.5 7.0 72.1 40.3 0.32 0.18 0.44 1.49 3.30 27.22 Uruguay 9,266 5,026 30.6 16.6 54 22.2 12.1 103.3 69.5 0.06 0.04 0.05 13.28 24.48 3.31 Venezuela, R. B. 9,876 5,449 262.5 144.8 55 23.7 13.1 110.1 75.4 0.48 0.33 0.43 1,152.88 2,089.75 26.58 Total 8,415 4,379 3,078.1 1,601.7 52 20.2 10.5 93.8 60.6 5.60 3.61 5.97 365.80 West Asia Bahrain 27,236 18,019 20.2 13.4 66 65.4 43.2 303.6 249.2 0.04 0.03 0.01 0.25 0.38 0.74 Egypt, Arab Rep.d 5,049 1,412 353.4 98.8 28 12.1 3.4 56.3 19.5 0.64 0.22 1.14 1.62 5.78 70.00 Iraq 3,200 1,214 89.5 33.9 38 7.7 2.9 35.7 16.8 0.16 0.08 0.46 558.70 1,473.00 27.96 Jordan 4,294 2,304 23.5 12.6 54 10.3 5.5 47.9 31.9 0.04 0.03 0.09 0.38 0.71 5.47 Kuwait 44,947 32,882 110.4 80.8 73 107.9 78.9 501.0 454.8 0.20 0.18 0.04 0.21 0.29 2.46 Lebanon 10,212 5,741 38.3 21.6 56 24.5 13.8 113.8 79.4 0.07 0.05 0.06 847.52 1,507.50 3.76 Oman 20,334 12,289 51.0 30.8 60 48.8 29.5 226.7 170.0 0.09 0.07 0.04 0.23 0.38 2.51 Qatar 68,696 51,809 55.8 42.1 75 164.8 124.3 765.7 716.5 0.10 0.10 0.01 2.75 3.64 0.81 Saudi Arabia 21,220 13,640 490.6 315.3 64 50.9 32.7 236.5 188.6 0.89 0.71 0.38 2.41 3.75 23.12 (continued) Tables of Results 27 2005 ICP Global Results: Summary Table, Cont. Price GDP per GDP per capita Gross domestic Gross domestic level capita indices indices product per capita product, billions index (U.S. = 100) (world = 100) Shares (world = 100) PPP Reference Data U.S. exchange ratea populationb Economy PPP US$ PPP US$ = 100 PPP US$ PPP US$ @PPP @US$ population US$=1 (US$=1) million West Asia, CONT. Syrian Arab Republic 4,059 1,535 75.0 28.4 38 9.7 3.7 45.2 21.2 0.14 0.06 0.30 19.72 52.14 18.49 Yemen, Rep. 2,276 826 46.2 16.8 36 5.5 2.0 25.4 11.4 0.08 0.04 0.33 69.49 191.42 20.28 Total 7,711 3,955 1354.1 694.5 51 18.5 9.5 86.0 54.7 2.46 1.57 2.87 175.60 WORLD 8,971 7,230 54975.7 44308.7 81 21.5 17.3 100.0 100.0 100.00 100.00 100.00 6,128.08 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Note: a. Exchange Rate: Refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average of local currency units relative to the U.S. dollar. Figures are provided by national authorities participating in ICP and may differ from IMF figures. b. Population: Estimates are provided by national authorities participating in ICP. The values shown are midyear estimates. Figures may differ from World Bank World Development Indicators figures. c. Burundi: Submitted prices, but did not provide official national accounts data. d. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. e. Zimbabwe: Data were suppressed because of extreme volatility in the official exchange rate. f. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. g. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 28 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 1 Purchasing power parities, local currency units per US$ Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 44.49 59.38 126.79 54.78 97.66 24.70 73.28 30.71 115.76 131.16 Benin 219.58 230.18 495.42 282.65 326.76 97.77 287.64 88.95 445.61 806.87 Botswana 2.42 3.00 5.43 3.33 4.13 1.71 4.56 1.84 5.34 3.94 Burkina Faso 200.23 202.40 388.15 262.57 213.64 101.13 270.06 88.26 574.30 622.34 Burundi 342.96 364.55 803.65 404.35 678.29 201.39 627.79 117.96 935.85 383.02 Cameroon 251.02 246.02 471.30 297.76 391.16 142.76 308.86 117.54 446.49 765.52 Cape Verde 69.36 65.98 97.06 69.40 110.48 70.42 86.60 23.88 96.36 85.45 Central African Republic 263.74 256.84 566.14 303.33 365.79 69.65 298.78 131.61 694.65 646.55 Chad 208.00 233.90 597.46 383.90 341.90 54.04 400.18 40.37 561.68 793.52 Comoros 226.19 244.92 470.80 541.99 351.65 178.76 347.74 88.43 523.67 443.19 Congo, Dem. Rep. 214.27 262.47 542.69 304.49 294.96 158.02 289.89 101.17 616.80 758.75 Congo, Rep. 268.76 293.88 632.74 359.52 531.17 167.41 369.90 123.41 638.22 807.43 Côte d’Ivoire 287.49 276.06 528.52 324.16 367.62 142.29 314.18 154.31 601.72 743.91 Djibouti 84.69 89.77 185.37 72.72 142.31 58.60 161.00 41.84 200.05 156.92 Egypt, Arab Rep.d 1.62 1.65 3.00 2.71 2.48 1.54 1.98 0.45 1.90 4.46 Equatorial Guinea 287.42 357.18 736.79 268.33 770.88 238.19 482.75 125.89 658.99 1,023.22 Ethiopia 2.25 2.30 4.13 4.01 4.62 1.74 2.83 0.79 4.15 4.12 Gabon 256.23 355.26 751.51 345.16 598.03 236.45 524.23 138.33 651.34 805.10 Gambia, The 7.56 8.66 23.21 12.24 10.84 2.59 11.01 3.02 22.77 15.31 Ghana 3,720.59 3,768.14 8,920.97 4,910.24 4,825.99 1,165.92 4,537.49 1,401.98 7,605.72 8,492.07 Guinea 1,219.35 1,222.69 2,947.16 709.92 1,476.04 548.79 946.86 692.59 2,873.77 2,695.83 Guinea-Bissau 217.30 235.58 461.33 259.27 434.13 122.23 330.06 91.98 542.23 1,160.83 Kenya 29.52 28.55 54.14 41.13 34.73 12.95 30.71 10.71 69.25 95.18 Lesotho 3.49 2.93 5.66 3.56 4.60 1.45 3.95 0.80 6.27 8.04 Liberia 0.49 0.43 0.89 0.49 0.60 0.44 0.48 0.15 1.21 1.16 Madagascar 649.57 632.29 1,367.97 1,222.00 866.31 402.12 828.31 302.38 1,611.72 1,335.85 Malawi 39.46 47.34 100.86 51.39 55.56 21.66 62.57 21.89 126.23 145.23 Mali 240.09 240.47 482.74 200.54 305.43 143.75 294.94 107.23 488.86 579.59 Mauritania 98.84 103.73 223.16 124.32 125.15 36.10 112.96 39.41 226.89 286.10 Mauritius 14.68 14.62 23.50 23.33 19.48 10.18 17.21 6.80 34.11 13.60 Morocco 4.88 4.97 7.82 10.43 8.05 2.86 4.92 3.48 8.65 8.10 Mozambique 10,909.45 9,711.16 18,411.54 14,271.49 16,441.34 3,699.66 13,316.09 4,958.82 26,270.65 28,013.21 Namibia 4.26 4.41 7.03 3.60 5.98 3.44 4.77 1.87 6.97 7.25 Niger 226.66 224.52 460.78 276.44 246.86 106.37 282.16 108.01 521.66 594.01 Nigeria 60.23 64.38 159.02 77.25 78.81 31.03 58.09 23.59 100.27 140.65 Rwanda 186.18 195.15 333.21 254.25 386.18 171.74 317.76 68.27 479.00 500.47 São Tomé and Principe 5,558.09 5,258.85 10,467.10 6,449.27 10,456.48 2,981.23 6,516.79 2,316.77 9,848.27 12,082.22 Senegal 251.67 251.97 522.49 277.47 355.88 139.95 279.49 116.50 507.51 368.18 Tables of Results 29 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 112.06 18.57 119.30 52.10 70.50 15.59 28.91 60.87 … … … 391.48 61.11 423.88 220.39 275.19 56.95 96.53 285.42 684.33 151.51 347.66 5.45 1.01 5.17 2.56 3.38 1.18 1.36 2.69 3.65 1.99 3.01 382.04 51.67 357.95 184.69 242.42 48.27 91.44 307.05 … … … 807.87 51.07 549.39 348.34 447.04 58.51 120.32 528.38 1,192.89 266.32 627.62 502.94 64.41 435.44 242.27 294.50 60.44 127.15 414.74 697.73 245.09 460.80 96.91 24.75 104.44 50.85 78.17 19.86 29.19 65.73 … … … 444.88 59.48 398.43 249.97 307.47 65.79 133.37 467.60 998.65 259.72 527.60 460.37 7.08 495.62 255.63 327.57 5.95 33.88 373.56 436.69 280.75 423.96 349.42 54.38 501.90 280.79 294.41 34.60 62.12 218.69 … … 241.98 424.86 58.58 441.74 193.35 316.23 35.42 66.88 224.16 … … … 546.74 47.44 460.40 241.69 375.57 38.84 124.69 665.15 901.40 427.93 757.48 541.18 112.24 426.59 272.07 325.81 107.83 179.80 665.41 649.27 659.28 772.73 131.61 22.24 221.68 56.26 107.81 20.16 37.95 104.20 … … … 2.75 0.38 4.24 1.67 2.02 0.28 0.63 2.32 5.79 1.15 2.34 702.24 55.67 554.48 317.17 436.29 30.68 73.28 553.32 731.62 485.87 666.03 5.48 … 3.35 2.33 2.75 0.65 1.27 3.82 9.54 2.02 4.58 670.18 77.95 644.91 272.76 443.75 57.29 101.05 334.10 … … … 15.32 … 15.51 8.39 10.34 2.03 3.08 16.52 27.63 9.79 17.88 6,411.04 1,159.44 7,657.45 2,530.94 4,475.82 1,323.01 1,976.95 5,347.08 8,756.63 3,097.71 5,835.65 1,518.05 229.26 1,678.18 1,065.48 1,479.57 215.83 419.71 1,960.34 … … … 470.24 39.04 410.84 234.44 284.28 37.96 82.58 280.97 … … … 57.37 12.08 35.30 24.37 32.68 12.31 18.05 50.89 88.58 28.80 56.45 7.00 0.89 5.23 3.34 3.43 0.91 1.73 5.97 … 4.02 6.21 0.70 0.07 0.81 0.36 0.51 0.12 0.41 0.77 1.21 … 0.86 1,117.97 69.47 986.97 645.17 756.38 152.40 334.45 1,183.61 2,641.94 551.68 1,330.44 74.24 10.28 77.74 42.74 56.92 6.78 16.80 36.06 100.15 16.94 43.43 428.15 65.24 360.28 248.66 289.68 49.92 98.04 391.57 628.79 236.94 421.43 212.95 21.55 237.76 110.00 125.67 19.66 45.10 148.39 … … … 26.43 5.04 20.18 16.79 17.73 2.91 7.38 20.96 32.44 13.28 23.12 7.20 3.48 9.13 5.41 5.51 3.14 3.61 5.81 7.06 … 6.66 18,782.27 3,537.28 19,942.40 10,785.87 11,625.69 2,310.64 6,576.87 20,680.39 25,985.66 14,746.50 22,510.78 6.86 1.79 9.45 4.14 5.06 1.38 2.43 4.92 … … … 425.62 69.98 393.01 199.89 267.33 69.50 104.26 349.03 745.23 183.11 393.27 98.76 11.59 112.58 46.55 78.58 8.72 20.42 83.76 130.61 59.64 95.20 420.05 38.98 317.50 211.54 236.75 36.55 73.19 300.58 … … … 10,291.80 1,178.47 9,245.95 5,176.52 6,363.13 888.19 1,845.67 8,925.65 15,010.50 … 9,829.75 372.34 90.56 467.30 252.02 298.24 74.67 135.32 332.14 594.00 199.20 377.40 (continued) 30 Global Purchasing Power Parities and Real Expenditures TABLE 1 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa, CONT. Sierra Leone 1,074.12 1,151.71 2,758.54 1,296.84 1,402.56 363.35 1,471.02 395.97 2,510.04 4,004.64 South Africa 3.87 4.00 5.53 4.56 5.56 2.89 5.88 2.46 6.69 5.95 Sudan 107.68 103.07 209.25 266.40 112.82 74.82 105.39 54.13 186.88 235.77 Swaziland 3.29 3.18 5.64 4.64 6.84 3.11 4.43 0.69 6.19 6.75 Tanzania 395.63 402.01 793.51 535.23 576.22 263.62 515.70 79.45 891.43 1,272.97 Togo 240.38 234.43 506.06 238.50 390.13 77.34 293.11 165.74 507.19 806.63 Tunisia 0.58 0.60 1.01 0.90 1.50 0.37 0.68 0.32 1.24 0.84 Uganda 619.64 617.82 1,040.09 941.50 953.38 373.11 865.18 258.97 1,612.31 2,290.98 Zambia 2,414.81 2,337.68 3,930.78 2,901.58 3,119.27 1,396.03 3,128.87 1,059.46 5,654.36 9,598.57 Zimbabwe 33,068.18 36,857.43 70,339.25 41,471.23 60,795.33 32,335.63 50,874.72 22,334.39 77,409.10 48,104.17 Asia-Pacific Bangladesh 22.64 22.06 34.28 23.51 30.54 23.22 28.37 6.51 51.10 30.68 Bhutan 15.74 15.93 25.39 22.17 21.90 14.32 25.83 4.38 31.71 25.16 Brunei Darussalam 0.90 0.96 1.50 1.29 1.35 1.18 1.32 0.39 1.10 1.29 Cambodia 1,278.55 1,322.78 2,304.16 1,540.24 1,853.50 1,702.59 1,776.21 281.10 2,482.37 2,529.08 Chinae 3.45 3.46 5.52 5.75 6.86 3.37 5.27 0.69 5.98 3.14 Hong Kong, China 5.69 6.39 8.82 10.17 6.11 9.10 7.61 2.93 9.40 6.84 Macao, China 5.27 5.74 8.32 6.05 6.18 6.74 8.26 2.26 7.87 6.99 Taiwan, China 19.34 19.71 34.95 22.84 21.51 24.69 31.17 5.78 28.38 16.27 Fiji 1.43 1.35 1.78 1.74 1.20 2.48 1.54 0.41 2.07 0.94 India 14.67 13.58 21.13 31.53 16.72 12.33 22.73 3.00 32.46 17.46 Indonesia 3,934.26 3,649.45 5,817.59 6,703.64 3,858.04 4,145.23 4,483.71 1,780.02 6,032.29 6,928.09 Iran, Islamic Rep. 2,674.76 2,386.28 5,664.83 2,500.11 3,286.75 2,415.30 4,142.98 630.38 3,109.53 555.58 Lao PDR 2,988.38 3,063.93 5,999.52 5,042.79 4,590.05 1,904.44 4,819.39 637.52 8,256.75 6,261.26 Malaysia 1.73 1.83 2.76 3.98 2.23 2.45 2.37 0.65 2.40 2.19 Maldives 8.13 7.98 11.30 8.11 9.25 20.20 9.45 1.77 13.23 6.81 Mongolia 417.22 423.37 697.10 586.29 624.79 551.96 670.86 85.71 771.86 589.10 Nepal 22.65 22.80 34.09 43.15 28.13 25.59 31.42 5.64 63.76 33.46 Pakistan 19.10 17.79 33.45 31.07 23.26 12.14 25.80 5.10 34.47 18.76 Philippines 21.75 21.11 33.60 16.18 28.10 22.52 25.77 9.11 34.57 34.61 Singapore 1.08 1.29 1.78 4.36 1.60 1.64 1.73 0.56 2.01 0.92 Sri Lanka 35.17 34.16 59.95 81.69 35.25 20.96 53.60 9.20 66.49 54.51 Thailand 15.93 15.38 25.14 25.72 21.10 11.24 24.34 5.51 24.97 21.77 Vietnam 4,712.69 4,846.15 8,352.05 6,571.89 6,855.55 5,373.19 8,106.50 1,108.37 14,185.91 6,466.89 CIS Armenia 178.58 150.82 277.66 191.78 370.45 48.41 324.63 58.78 301.32 262.67 Azerbaijan 1,631.56 1,329.33 2,431.17 1,714.70 3,527.72 422.87 2,846.72 467.71 2,367.24 2,512.60 Belarus 779.33 635.48 1,024.39 761.82 1,398.20 256.78 1,219.57 262.10 1,598.65 453.79 Tables of Results 31 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 1,957.09 315.76 2,237.02 1,161.02 1,396.21 218.51 418.63 1,482.52 2,780.90 734.18 1,599.97 5.67 1.98 7.09 4.31 4.57 1.52 2.25 4.62 6.09 4.08 5.47 137.49 40.19 136.43 78.92 123.51 33.40 58.81 186.72 265.65 133.99 207.57 6.16 1.33 5.59 2.79 3.73 1.19 1.84 4.97 … … … 709.61 … 579.61 471.43 482.45 92.63 185.61 612.62 1,104.99 348.62 683.21 413.27 42.50 400.57 217.11 282.26 48.10 104.03 392.07 … 273.29 422.61 1.18 0.31 0.73 0.71 0.70 0.23 0.36 0.73 1.01 0.48 0.82 1,161.50 … 1,093.03 614.33 744.62 131.27 266.93 1,106.30 2,139.62 644.60 1,265.11 3,776.18 … 3,810.23 2,118.12 2,830.33 485.91 985.57 3,653.43 6,360.78 2,016.13 3,967.38 63,934.28 3,507.65 70,048.69 44,125.56 47,952.42 2,336.37 5,952.58 20,414.03 … … 21,930.51 31.44 4.74 43.65 26.10 25.49 7.16 14.12 25.25 67.18 12.55 30.27 22.66 4.11 31.72 17.21 18.46 4.55 6.67 17.99 56.10 8.12 21.58 1.15 0.32 1.50 0.96 1.08 0.34 0.42 1.05 1.87 0.66 1.26 1,561.12 159.82 2,491.93 1,623.70 1,615.30 214.42 343.48 1,473.22 3,945.60 680.04 1,764.63 3.47 1.02 6.78 4.13 4.09 0.83 1.53 3.70 8.79 1.93 4.43 5.25 3.26 8.98 5.62 7.24 2.51 3.45 5.10 7.59 4.15 6.11 5.90 2.31 8.80 5.61 6.43 2.19 3.83 6.14 8.48 4.29 7.34 18.14 7.60 25.50 18.87 22.64 6.44 10.06 19.94 33.42 14.28 23.83 1.51 0.37 2.58 1.22 1.55 0.45 0.67 1.40 2.31 1.01 1.67 18.41 2.90 26.93 16.07 15.60 4.46 9.35 17.74 36.84 10.21 21.22 4,109.74 718.04 5,068.96 3,533.53 4,192.83 1,218.81 2,513.16 4,783.40 11,032.96 2,551.52 5,726.18 3,536.01 964.42 5,670.28 2,369.93 2,714.82 878.19 1,214.84 3,715.29 8,388.03 1,969.24 4,445.34 4,064.47 404.52 5,959.69 4,054.17 3,741.62 503.42 927.20 3,774.99 10,161.73 1,769.51 4,501.46 1.90 0.54 2.93 1.86 2.11 0.55 0.75 1.68 3.73 0.91 2.01 8.21 1.17 13.05 7.00 9.74 1.78 2.88 8.85 12.77 6.89 10.50 592.41 62.70 1,036.73 551.74 522.49 76.00 137.79 463.36 1,325.10 187.42 553.63 27.41 4.83 44.94 26.36 26.47 6.95 13.54 25.15 62.25 12.87 29.95 23.06 3.33 39.59 20.98 20.71 5.00 10.14 25.99 62.95 13.15 31.08 26.78 5.22 30.83 21.84 24.18 7.48 12.90 24.22 57.39 12.44 28.97 1.16 0.51 1.68 1.16 1.47 0.48 0.58 0.95 1.77 0.62 1.14 49.32 6.94 66.89 41.57 40.04 8.95 14.75 44.17 101.68 23.40 52.87 19.64 4.36 23.46 17.45 17.47 5.54 10.63 16.89 38.81 8.71 20.21 5,975.55 579.51 8,163.06 6,058.51 5,919.89 847.45 1,675.85 5,178.42 15,683.72 2,274.55 6,192.16 207.27 23.09 306.77 145.99 196.19 37.34 112.62 294.99 532.91 192.65 340.29 1,885.71 214.86 2,619.67 1,521.80 1,736.75 329.65 1,155.96 2,872.59 5,142.81 1,806.17 3,315.90 988.84 178.73 958.91 814.13 759.62 247.63 682.46 1,298.45 2,194.20 873.10 1,497.10 (continued) 32 Global Purchasing Power Parities and Real Expenditures TABLE 1 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS, CONT. Georgia 0.74 0.61 1.04 0.81 1.44 0.27 1.18 0.25 1.24 1.16 Kazakhstan 57.61 51.05 71.24 40.69 114.84 38.69 87.22 15.70 84.82 104.40 Kyrgyz Republic 11.35 9.63 18.69 12.07 29.67 2.33 24.31 2.74 21.56 22.12 Moldova 4.43 3.70 6.35 3.30 10.37 1.59 8.05 1.31 8.78 6.43 Russian Federationf 12.74 10.96 16.58 10.80 26.86 5.52 19.43 4.68 21.19 18.83 Tajikistan 0.74 0.63 1.39 0.94 2.16 0.15 1.74 0.14 1.67 1.47 Ukraine 1.68 1.40 2.20 1.46 3.40 0.46 2.90 0.62 3.16 2.66 OECD-Eurostat Albania 48.56 48.41 82.09 54.67 104.10 39.71 75.47 14.15 105.54 88.62 Australia 1.39 1.37 1.61 1.97 1.38 1.29 1.66 1.04 1.79 1.63 Austria 0.87 0.86 1.01 0.76 0.98 0.73 0.90 0.59 1.37 0.79 Belgium 0.90 0.89 0.99 0.80 1.03 0.89 0.94 0.62 1.27 0.90 Bosnia and Herzegovina 0.73 0.74 1.20 0.74 1.75 0.41 1.06 0.42 1.77 0.82 Bulgaria 0.59 0.60 0.96 0.69 1.20 0.42 0.97 0.27 1.37 1.46 Canada 1.21 1.21 1.49 1.81 1.50 1.00 1.46 1.02 1.54 1.22 Croatia 3.94 3.90 5.83 5.05 7.24 2.26 5.57 2.24 7.88 4.64 Cyprus 0.42 0.42 0.55 0.50 0.55 0.30 0.51 0.31 0.69 0.21 Czech Republic 14.40 13.31 18.03 15.61 27.77 9.73 20.53 6.98 26.72 25.37 Denmark 8.52 8.75 9.61 7.43 8.59 8.43 8.29 6.32 14.35 5.01 Estonia 7.81 7.37 10.42 8.01 14.57 6.47 10.02 3.89 13.75 10.42 Finland 0.98 1.02 1.11 1.12 1.16 0.98 1.01 0.72 1.53 0.65 France 0.92 0.89 0.96 0.91 0.87 0.91 0.96 0.61 1.25 0.89 Germany 0.89 0.88 0.96 0.80 0.98 0.87 0.88 0.57 1.29 0.86 Greece 0.70 0.70 0.89 0.70 0.95 0.62 0.86 0.45 1.00 0.88 Hungary 128.51 119.54 161.99 135.26 220.41 79.28 156.25 67.11 263.11 185.07 Iceland 97.06 98.05 123.96 138.51 126.37 87.98 104.89 72.19 132.71 74.46 Ireland 1.02 1.04 1.15 1.50 0.95 1.06 1.01 0.73 1.41 0.94 Israel 3.72 3.74 4.41 4.12 4.19 3.25 4.21 2.48 6.63 3.22 Italy 0.88 0.88 1.06 0.85 0.98 0.78 0.96 0.71 1.23 0.83 Japan 129.55 129.16 238.42 97.04 167.23 128.19 167.25 64.80 162.32 127.15 Korea, Rep. 788.92 808.78 1,515.01 853.14 1,133.39 783.71 777.29 358.08 1,102.97 581.70 Latvia 0.30 0.29 0.41 0.29 0.64 0.22 0.41 0.14 0.56 0.57 Lithuania 1.48 1.38 1.93 1.60 3.18 0.92 2.02 0.74 2.86 1.72 Luxembourg 0.92 0.93 1.04 0.71 1.06 0.94 0.96 0.69 1.16 0.67 Macedonia, FYR 19.06 19.77 31.30 18.29 39.59 11.36 32.66 8.07 47.46 37.51 Malta 0.25 0.25 0.32 0.35 0.42 0.14 0.39 0.14 0.49 0.33 Mexico 7.13 6.84 8.16 5.97 8.12 8.74 7.36 4.75 9.09 11.19 Montenegro 0.37 0.41 0.66 0.34 1.00 0.31 0.62 0.17 0.91 0.38 Netherlands 0.90 0.86 0.81 0.82 0.94 0.94 0.86 0.56 1.47 0.81 Tables of Results 33 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.87 0.09 1.10 0.70 0.78 0.17 0.63 1.12 1.90 0.75 1.29 63.54 9.37 77.62 51.77 64.96 14.81 36.07 85.88 135.56 59.92 98.97 14.97 1.31 17.72 10.35 13.00 1.95 6.83 22.79 42.90 14.35 26.31 5.33 0.55 7.03 4.21 4.83 0.91 3.10 7.84 13.48 5.20 9.04 15.19 2.78 19.78 13.50 13.39 4.07 10.19 19.21 27.90 14.27 22.14 0.77 0.05 1.69 0.65 0.93 0.08 0.34 1.82 3.04 1.24 2.10 2.12 0.30 2.89 1.87 1.71 0.50 1.29 2.81 5.11 1.78 3.24 63.56 10.84 75.85 43.36 60.41 11.54 25.19 75.77 108.46 56.86 91.98 1.51 0.83 1.73 1.37 1.46 0.96 1.31 1.47 1.61 1.39 1.41 0.96 0.64 1.14 0.92 0.89 0.65 0.85 0.97 0.93 1.00 0.90 0.95 0.61 1.23 0.89 0.93 0.66 1.04 0.90 0.95 0.87 0.90 0.95 0.24 1.23 0.72 0.87 0.32 0.55 1.08 1.76 0.72 1.58 0.79 0.14 0.74 0.60 0.74 0.19 0.35 0.94 1.60 0.57 1.43 1.27 0.82 1.68 1.20 1.26 0.94 1.19 1.23 1.28 1.18 1.32 5.02 1.70 6.96 3.94 4.46 1.97 2.89 4.78 6.46 3.76 6.21 0.51 0.27 0.69 0.43 0.45 0.30 0.40 0.42 0.57 0.34 0.53 15.17 6.35 16.82 13.08 15.20 6.91 11.15 19.34 26.77 14.58 25.93 9.41 5.92 13.08 9.24 9.09 6.51 8.56 8.42 7.59 9.16 8.67 8.94 2.51 11.23 7.08 8.83 3.16 5.08 10.98 13.73 9.10 14.55 1.14 0.65 1.45 1.09 1.08 0.72 0.92 0.95 0.98 0.92 0.92 0.99 0.57 1.28 0.92 0.94 0.63 1.03 0.99 0.98 0.97 1.05 0.99 0.76 1.09 0.89 0.91 0.68 0.91 0.95 0.97 0.96 0.90 0.86 0.38 1.04 0.70 0.77 0.42 0.57 0.77 1.01 0.63 0.77 146.02 53.34 177.24 118.10 137.52 61.72 101.15 177.34 221.66 148.62 204.83 119.89 59.37 169.47 105.42 104.06 68.79 86.25 79.60 83.74 76.51 73.02 1.06 0.69 1.48 1.07 1.09 0.75 0.97 1.14 1.01 1.16 1.06 4.56 2.00 6.45 3.80 4.07 2.33 3.27 3.75 5.43 2.83 3.95 0.98 0.61 1.17 0.85 0.91 0.69 0.95 0.83 0.94 0.73 1.05 121.45 91.20 178.69 133.38 142.94 75.07 119.67 136.36 164.32 119.01 124.64 932.11 480.86 1,309.97 762.56 879.37 502.70 675.05 770.43 1,152.33 576.26 954.16 0.35 0.09 0.47 0.26 0.35 0.11 0.18 0.45 0.59 0.36 0.57 1.69 0.45 2.23 1.41 1.66 0.56 0.95 2.35 2.86 1.98 3.03 1.05 0.98 1.15 0.95 0.90 0.88 1.13 0.91 0.91 0.88 1.04 29.62 6.68 30.06 18.81 23.58 7.42 11.80 26.55 50.81 16.14 45.49 0.31 0.14 0.34 0.25 0.27 0.14 0.19 0.28 0.41 0.22 0.31 8.37 2.70 9.24 6.50 7.65 3.52 4.70 9.62 12.85 7.71 10.63 0.52 0.12 0.71 0.35 0.50 0.14 0.21 0.55 0.91 0.37 0.72 0.93 0.58 1.17 0.88 0.91 0.61 0.94 1.04 0.94 1.12 0.90 (continued) 34 Global Purchasing Power Parities and Real Expenditures TABLE 1 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication OECD-Eurostat, CONT. New Zealand 1.54 1.49 1.87 2.06 1.80 1.48 1.82 1.02 1.94 1.58 Norway 8.84 9.41 11.70 14.69 11.11 6.86 9.12 6.78 15.97 7.16 Poland 1.90 1.83 2.37 2.02 4.08 1.28 2.55 0.88 3.89 3.16 Portugal 0.71 0.72 0.81 0.66 0.87 0.58 0.81 0.50 1.19 0.83 Romania 1.42 1.43 2.25 1.55 2.67 1.19 1.90 0.60 2.93 2.42 Russian Federation f 12.74 10.96 16.58 10.80 26.86 5.52 19.43 4.68 21.19 18.83 Serbia 27.21 28.17 48.03 26.26 63.92 18.89 51.51 12.86 67.06 20.10 Slovak Republic 17.20 16.02 22.67 18.13 29.31 11.51 24.21 8.18 35.09 31.31 Slovenia 147.04 148.00 190.73 137.39 231.98 117.11 178.50 95.85 240.97 140.55 Spain 0.77 0.74 0.83 0.59 0.90 0.75 0.91 0.48 1.14 0.82 Sweden 9.24 9.16 10.15 9.85 10.32 8.14 9.73 6.46 14.22 5.76 Switzerland 1.74 1.79 2.08 1.25 1.72 2.04 1.67 1.29 2.18 1.58 Turkey 0.87 0.87 1.29 1.16 1.29 0.55 1.04 0.55 1.99 1.39 United Kingdom 0.65 0.63 0.71 0.98 0.67 0.53 0.68 0.43 1.01 0.51 United States 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 South America Argentina 1.27 1.21 1.70 0.95 1.80 1.03 1.80 0.59 1.89 1.04 Bolivia 2.23 2.11 3.61 2.65 4.21 1.58 3.08 0.91 3.51 3.48 Brazil 1.36 1.37 1.69 0.84 2.24 1.48 1.84 0.71 2.50 1.58 Chile 333.69 345.67 453.99 282.48 505.73 280.11 501.26 205.31 552.38 559.31 Colombia 1,081.95 1,064.66 1,738.54 1,040.87 1,672.65 731.78 1,400.78 509.13 1,968.04 1,294.41 Ecuador 0.42 0.43 0.66 0.41 0.66 0.41 0.54 0.18 0.65 0.52 Paraguay 2,006.83 1,844.71 2,621.79 1,800.86 3,650.72 1,159.43 2,675.43 930.24 3,893.21 1,914.16 Peru 1.49 1.46 2.28 1.64 1.99 1.02 2.04 0.84 2.22 1.92 Uruguay 13.28 13.47 16.93 11.92 19.47 13.54 17.47 7.21 23.14 14.32 Venezuela, R. B. 1,152.88 1,106.54 1,833.68 781.27 2,270.35 706.12 1,779.56 605.16 1,471.64 1,160.72 West Asia Bahrain 0.25 0.28 0.29 0.21 0.28 0.61 0.24 0.16 0.24 0.33 Egypt, Arab Rep.d 1.62 1.65 3.00 2.71 2.48 1.54 1.98 0.45 1.90 4.46 Iraq 558.70 540.47 820.45 722.91 654.01 828.20 460.50 174.33 591.87 966.62 Jordan 0.38 0.42 0.51 0.40 0.44 0.75 0.49 0.17 0.39 0.42 Kuwait 0.21 0.26 0.23 0.16 0.37 0.45 0.22 0.15 0.19 0.28 Lebanon 847.52 961.55 1,149.93 971.76 1,982.62 896.54 1,175.80 439.62 923.37 1,598.66 Oman 0.23 0.26 0.28 0.22 0.27 0.49 0.23 0.14 0.23 0.34 Qatar 2.75 3.27 2.77 1.97 3.15 10.40 2.35 1.49 1.96 3.30 Saudi Arabia 2.41 2.70 3.02 1.97 2.60 3.79 2.19 1.33 2.49 5.08 Syrian Arab Republic 19.72 20.17 28.17 21.79 29.90 28.47 24.63 7.14 26.92 29.75 Yemen, Rep. 69.49 74.60 114.72 60.78 87.22 87.21 101.03 20.85 95.15 190.91 Tables of Results 35 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 1.65 0.92 1.63 1.47 1.60 0.99 1.26 1.83 1.83 1.80 2.11 10.81 6.17 14.16 10.62 9.80 6.95 8.99 9.03 8.88 9.19 8.91 2.37 0.76 3.06 1.86 2.15 0.82 1.37 2.41 3.59 1.73 3.08 0.86 0.58 0.89 0.73 0.74 0.55 0.63 0.71 1.02 0.53 0.88 1.65 0.47 1.95 1.33 1.72 0.54 0.82 2.05 3.24 1.37 2.75 15.19 2.78 19.78 13.50 13.39 4.07 10.19 19.21 27.90 14.27 22.14 35.05 9.15 49.56 26.17 34.31 10.71 16.54 35.63 57.28 23.08 53.34 19.23 5.37 22.29 15.91 18.83 6.86 11.64 25.65 36.28 18.62 32.43 184.48 94.57 184.19 155.69 158.60 100.04 127.06 153.19 211.36 116.51 222.04 0.89 0.45 1.06 0.72 0.80 0.49 0.69 0.88 0.93 0.81 0.97 10.37 6.11 13.11 9.88 9.56 6.60 8.25 10.66 8.80 13.13 9.70 1.80 1.37 2.21 1.84 1.87 1.49 1.76 1.74 1.51 2.05 1.50 1.11 0.32 1.44 0.83 1.00 0.41 0.50 1.12 1.65 0.82 1.23 0.68 0.48 0.93 0.66 0.66 0.48 0.59 0.71 0.64 0.77 0.71 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 2.02 0.70 2.46 1.27 1.35 0.58 0.92 1.66 3.26 1.10 2.07 4.01 0.62 3.79 2.63 2.57 0.46 1.09 3.48 9.56 1.74 4.33 2.07 0.76 1.66 1.36 1.57 0.50 0.91 1.54 2.93 1.05 1.91 431.24 213.37 524.90 353.68 387.36 158.64 257.60 355.26 628.55 251.23 442.20 1,695.64 548.98 1,266.84 1,189.82 1,191.74 469.99 716.09 1,323.09 3,100.90 767.42 1,646.13 0.76 0.23 0.71 0.45 0.50 0.14 0.25 0.46 1.04 0.28 0.57 3,512.69 662.88 3,216.15 2,199.25 2,127.80 586.92 1,410.75 3,151.33 7,436.67 1,791.19 3,922.22 2.13 0.80 2.37 1.42 1.65 0.59 1.21 1.69 3.90 1.00 2.10 18.35 7.34 22.93 13.98 15.31 5.27 8.98 14.51 27.11 10.09 18.06 1,804.29 604.16 1,736.16 1,134.42 1,251.12 449.58 648.84 1,788.95 3,150.30 1,294.08 2,225.94 0.30 0.15 0.48 0.22 0.32 0.13 0.19 0.18 0.33 0.12 0.17 2.75 0.38 4.24 1.67 2.02 0.28 0.63 2.32 5.79 1.15 2.34 886.61 169.99 1,379.74 487.49 639.87 159.94 297.57 631.01 1,131.80 469.18 583.07 0.52 0.16 1.06 0.42 0.49 0.12 0.18 0.33 0.59 0.22 0.41 0.31 0.19 0.47 0.25 0.28 0.15 0.17 0.15 0.28 0.10 0.11 1,271.05 401.16 3,490.19 934.83 1,107.12 347.50 448.25 632.39 1,267.25 441.80 462.92 0.27 0.15 0.46 0.20 0.29 0.13 0.15 0.18 0.32 0.13 0.21 2.99 2.02 4.48 2.15 3.64 1.44 1.89 2.17 3.34 1.37 8.86 3.88 1.80 5.58 2.27 2.90 1.38 1.79 1.82 3.14 1.29 2.21 22.71 4.50 41.70 16.64 24.65 3.99 9.29 20.38 48.33 11.23 22.16 117.98 14.88 189.53 81.09 91.06 15.46 29.57 61.23 161.98 31.52 118.28 (continued) 36 Global Purchasing Power Parities and Real Expenditures TABLE 1 Continued CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Tables of Results 37 Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Refer to appendix F regarding comparability between regions. c. GFCF was estimated where one or more of its components were suppressed. For more details, refer to appendix F. d. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. e. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. f. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 38 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 2 Price Level Index, world = 100 Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 68 90 175 81 125 39 94 71 126 207 Benin 52 53 105 64 64 24 56 31 74 195 Botswana 59 72 118 78 84 43 92 67 92 98 Burkina Faso 47 47 82 59 42 25 53 31 96 150 Burundi 39 41 83 45 65 24 60 20 76 45 Cameroon 59 57 100 67 77 35 60 42 75 185 Cape Verde 97 91 122 94 129 102 101 50 96 123 Central African Republic 62 59 120 69 72 17 58 47 116 156 Chad 49 54 126 87 67 13 78 14 94 192 Comoros 71 76 134 165 92 58 91 42 117 144 Congo, Dem. Rep. 56 68 128 77 64 43 63 40 115 204 Congo, Rep. 63 68 134 81 104 41 72 44 107 195 Côte d’Ivoire 68 64 112 73 72 35 61 55 101 180 Djibouti 59 62 116 49 83 42 93 44 99 113 Egypt, Arab Rep.d 35 35 58 56 44 34 35 15 29 98 Equatorial Guinea 68 83 156 61 151 58 94 44 110 247 Ethiopia 32 32 53 55 55 26 34 17 42 61 Gabon 60 82 159 78 117 57 103 49 109 195 Gambia, The 33 37 91 51 39 12 40 20 70 68 Ghana 51 51 110 65 55 16 52 29 74 119 Guinea 42 41 90 23 42 19 27 35 70 94 Guinea-Bissau 51 55 98 59 85 30 65 33 91 281 Kenya 48 46 80 65 48 22 42 26 81 161 Lesotho 68 56 99 67 75 29 64 24 87 161 Liberia 61 52 99 58 62 57 49 28 106 148 Madagascar 40 38 76 73 45 26 43 28 71 85 Malawi 41 49 95 52 49 23 55 34 94 156 Mali 56 56 102 45 60 35 58 38 82 140 Mauritania 46 48 94 56 49 17 44 28 76 138 Mauritius 62 61 89 95 68 44 60 43 102 59 Morocco 68 68 98 141 94 41 57 73 86 116 Mozambique 58 51 88 73 73 20 59 40 99 153 Namibia 83 85 123 68 97 69 77 55 97 145 Niger 53 52 97 63 48 26 55 38 87 144 Nigeria 57 60 135 70 62 30 46 33 67 137 Rwanda 41 43 67 54 72 39 59 23 76 114 São Tomé and Principe 65 61 111 73 102 36 64 41 82 146 Tables of Results 39 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 140 57 128 71 100 41 59 91 … … … 75 29 70 46 60 23 30 65 116 48 67 108 49 88 56 76 49 44 63 64 65 59 73 24 59 39 53 19 28 70 … … … 75 12 44 36 47 11 18 59 99 41 59 96 30 72 51 64 24 40 94 119 77 88 110 69 103 64 101 47 54 89 … … … 85 28 66 53 67 26 41 107 170 82 101 88 3 82 54 71 2 11 85 74 89 81 90 34 111 … 86 18 26 67 … … 62 90 31 81 45 76 16 23 57 … … … 105 22 76 51 81 15 39 152 153 135 145 103 53 70 57 71 43 56 152 110 208 148 75 31 109 35 69 24 35 70 … … … 48 16 64 32 40 10 18 48 90 33 41 134 26 91 67 95 12 23 126 124 153 128 64 … 34 30 36 16 24 53 99 39 53 128 37 106 57 96 23 31 76 … … … 54 … 47 33 41 15 18 69 87 57 63 71 32 73 31 56 31 36 71 86 57 65 42 16 40 32 46 12 19 65 … … … 90 18 68 49 62 15 26 64 … … … 77 40 41 36 49 34 39 81 105 63 75 111 35 72 58 62 30 45 113 … 105 … 71 18 71 39 58 26 67 92 109 … 87 56 9 43 36 43 16 27 71 118 46 67 63 22 57 40 55 12 23 37 76 24 37 82 31 59 52 63 20 30 89 107 75 … 81 20 78 46 54 16 28 67 … … … 90 42 60 63 69 21 41 85 99 75 … 82 97 90 68 71 75 67 79 71 … 76 81 38 74 51 57 21 46 107 100 105 … 109 70 129 72 91 46 63 93 … … … 81 33 65 42 58 28 32 80 127 58 75 76 22 75 39 68 14 26 77 89 76 73 76 17 50 42 49 14 22 65 … … … 98 28 76 54 69 18 29 102 127 … 94 (continued) 40 Global Purchasing Power Parities and Real Expenditures TABLE 2 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa, CONT. Senegal 59 58 111 63 70 34 55 41 85 89 Sierra Leone 46 49 106 53 50 16 52 25 76 176 South Africa 76 77 97 86 90 58 95 72 93 119 Sudan 55 52 96 131 48 39 45 41 68 123 Swaziland 64 61 99 87 111 63 72 20 86 135 Tanzania 44 44 79 57 53 30 48 13 70 145 Togo 57 54 107 54 76 19 57 59 85 195 Tunisia 56 57 87 83 120 36 54 47 85 83 Uganda 43 42 65 63 55 27 50 27 80 164 Zambia 67 64 98 78 72 40 72 44 112 274 Zimbabwee … … … … … … … … … … Total 57 57 93 77 68 38 59 41 78 117 Asia/Pacific Bangladesh 44 42 59 44 49 46 46 19 70 61 Bhutan 44 44 64 60 51 42 60 19 63 73 Brunei Darussalam 67 70 100 92 84 91 82 44 58 99 Cambodia 39 39 63 45 47 53 45 13 53 79 Chinaf 52 52 75 84 87 53 66 16 64 49 Hong Kong, China 91 100 127 156 81 150 101 70 107 112 Macao, China 82 88 116 90 80 108 106 53 87 111 Taiwan, China 75 75 121 85 69 98 100 34 78 64 Fiji 105 97 117 123 73 188 94 45 108 71 India 41 38 53 85 39 36 53 13 65 50 Indonesia 50 46 67 83 41 55 48 34 55 91 Iran, Islamic Rep. 37 33 71 33 38 35 48 13 31 8 Lao PDR 35 35 63 57 45 23 47 11 68 75 Malaysia 57 59 81 125 61 83 65 32 56 74 Maldives 79 76 99 76 75 202 76 26 91 68 Mongolia 43 43 65 58 54 59 57 13 56 62 Nepal 39 39 53 72 41 46 45 15 79 60 Pakistan 40 37 63 62 40 26 45 16 51 40 Philippines 49 47 68 35 53 52 48 31 55 80 Singapore 80 95 119 313 99 126 107 62 106 70 Sri Lanka 43 42 67 97 36 27 55 17 58 69 Thailand 49 47 70 76 54 36 62 26 55 69 Vietnam 37 37 59 50 45 43 53 13 79 52 Total 51 48 67 78 58 50 64 18 62 45 Tables of Results 41 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 71 43 77 53 65 30 42 76 101 63 72 68 27 67 44 55 16 24 61 86 42 56 90 77 97 75 82 50 58 87 86 107 … 57 41 49 36 58 29 40 92 98 92 86 98 52 77 49 67 39 47 94 … … … 64 … … 47 49 17 27 66 88 52 62 79 20 66 46 61 19 32 89 … 86 81 92 59 49 61 61 38 45 68 69 62 64 66 … 53 38 48 15 25 75 108 60 … 85 … … 53 72 23 36 98 128 75 … … … … … … … … … … … … 78 37 68 53 63 29 38 76 88 68 68 49 18 59 45 45 23 36 47 94 33 48 52 23 63 43 48 22 25 49 114 31 49 70 47 78 64 74 42 41 76 101 66 76 38 10 53 44 45 11 14 43 86 28 44 43 31 72 56 57 21 31 54 96 39 55 68 104 100 80 106 68 73 79 87 89 79 74 72 96 78 92 58 78 92 95 89 93 57 59 69 65 80 42 51 74 93 74 75 90 54 133 80 105 55 65 99 122 99 100 42 16 53 40 40 21 35 48 75 39 49 43 18 45 40 49 26 42 59 102 44 60 40 27 55 29 35 21 22 50 84 37 50 38 9 49 42 40 10 14 43 85 28 43 51 35 67 54 64 30 32 53 88 40 54 65 23 89 61 87 29 37 83 89 90 83 50 13 75 51 50 13 19 46 98 26 46 39 17 55 41 42 20 31 42 78 30 42 39 14 58 39 40 18 28 52 95 37 53 49 23 49 44 50 29 38 53 93 38 53 70 76 88 77 101 60 57 69 95 63 69 49 17 58 46 46 19 24 53 91 39 53 49 27 51 48 50 29 43 50 86 36 51 38 9 45 42 43 11 17 39 89 24 39 48 27 63 51 52 23 33 54 89 40 55 (continued) 42 Global Purchasing Power Parities and Real Expenditures TABLE 2 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS Armenia 48 40 68 50 84 14 73 24 58 73 Azerbaijan 43 34 57 43 77 11 62 18 44 68 Belarus 45 36 53 42 67 15 58 23 65 27 Georgia 51 41 64 54 82 19 67 26 60 82 Kazakhstan 54 47 60 37 89 37 68 22 56 100 Kyrgyz Republic 34 29 51 35 75 7 61 12 46 69 Moldova 44 36 56 31 85 16 66 19 61 65 Russian Federationg 56 47 65 46 98 25 71 31 66 85 Tajikistan 30 25 50 36 72 6 58 9 47 60 Ukraine 41 33 48 34 69 12 58 22 54 66 Total 53 44 61 44 94 22 69 28 64 78 OECD-Eurostat Albania 60 59 91 65 107 51 77 26 92 112 Australia 132 128 137 180 109 127 131 148 121 159 Austria 135 130 140 113 125 116 116 137 150 126 Belgium 139 135 138 118 132 143 121 144 139 143 Bosnia and Herzegovina 57 58 85 56 115 34 70 50 99 66 Bulgaria 47 46 68 52 79 35 63 32 77 118 Canada 124 122 137 179 128 106 124 157 112 128 Croatia 82 80 109 101 126 49 97 70 117 99 Cyprus 113 112 132 129 124 82 112 124 131 59 Czech Republic 75 68 84 78 120 52 88 54 98 135 Denmark 176 178 179 148 148 180 143 197 211 107 Estonia 77 72 92 76 120 66 82 58 96 106 Finland 152 155 154 167 149 157 130 167 168 103 France 142 135 133 135 112 144 123 141 137 142 Germany 138 133 133 119 127 138 112 133 141 137 Greece 108 107 123 104 122 99 111 105 110 140 Hungary 80 73 91 81 114 51 81 63 116 118 Iceland 191 190 220 263 208 179 172 214 186 151 Ireland 158 157 159 223 123 169 130 169 155 150 Israel 103 102 110 110 96 93 97 103 130 91 Italy 135 133 147 126 127 125 124 164 135 132 Japan 146 143 241 105 157 149 157 110 130 147 Korea, Rep. 96 96 165 100 114 98 78 65 95 72 Latvia 66 63 82 62 119 50 75 47 89 131 Lithuania 66 61 78 69 118 43 75 50 91 79 Luxembourg 142 141 145 106 136 151 123 159 128 107 Macedonia, FYR 48 49 71 44 83 30 68 31 85 97 Tables of Results 43 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 46 13 58 35 49 17 40 77 104 70 75 40 11 48 36 42 15 40 73 97 64 71 46 21 39 42 40 24 52 72 91 68 70 48 13 53 43 49 20 57 74 94 69 72 48 17 51 43 56 23 45 78 91 75 75 37 8 38 28 36 10 27 67 94 58 65 43 11 49 37 44 15 40 75 96 69 72 54 24 61 53 54 30 59 82 88 84 79 25 4 47 23 34 5 18 70 87 66 68 42 15 49 40 38 21 41 66 89 58 64 52 20 57 50 51 27 56 78 89 78 77 64 27 65 48 69 24 41 90 96 94 92 116 158 115 116 128 154 164 135 110 177 109 120 196 123 127 127 170 174 145 104 207 113 119 189 133 123 132 173 212 134 106 181 113 61 38 68 51 63 43 57 82 100 76 101 51 23 41 42 54 25 36 72 91 60 92 105 167 121 110 119 163 161 122 95 162 110 85 71 102 73 86 70 80 97 97 105 105 111 143 129 104 111 136 141 109 111 123 115 64 66 61 61 73 61 76 97 100 101 109 158 245 190 171 173 228 234 169 114 255 146 72 49 78 62 80 53 66 105 98 121 117 142 200 157 150 153 187 187 142 109 191 116 125 176 139 126 133 164 211 148 109 201 131 124 235 118 123 129 178 186 143 108 198 113 107 116 113 96 110 110 117 115 113 131 96 74 66 77 66 79 65 83 107 100 124 104 192 234 234 186 189 230 225 152 119 203 117 134 212 160 147 155 195 199 171 112 240 133 102 110 125 94 104 109 120 100 108 105 89 123 188 126 117 129 180 194 124 105 152 132 111 205 141 134 148 143 178 149 134 180 114 92 116 111 83 98 103 108 90 101 94 94 62 40 73 51 71 42 52 97 95 106 102 62 40 70 56 68 42 56 102 92 119 110 132 302 125 130 127 231 231 137 102 181 131 61 34 53 42 55 32 39 65 92 55 93 (continued) 44 Global Purchasing Power Parities and Real Expenditures TABLE 2 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication OECD-Eurostat, CONT. Malta 89 87 104 120 125 52 116 76 124 122 Mexico 81 77 84 65 77 103 70 81 74 131 Montenegro 56 62 92 50 128 50 79 38 100 60 Netherlands 139 131 112 122 121 149 110 131 162 128 New Zealand 134 128 147 174 131 133 132 134 120 142 Norway 170 178 203 273 178 137 146 196 219 142 Poland 73 69 82 75 130 51 81 51 106 124 Portugal 109 109 112 98 111 93 104 115 131 132 Romania 61 60 86 63 95 52 67 38 89 106 Russian Federationg 56 47 65 46 98 25 71 31 66 85 Serbia 51 52 82 48 101 37 81 36 90 39 Slovak Republic 69 63 82 70 98 48 81 49 100 129 Slovenia 95 94 110 85 125 78 96 93 110 93 Spain 118 113 115 88 116 120 117 110 125 130 Sweden 154 150 152 158 143 140 135 161 168 98 Switzerland 174 176 186 120 143 210 138 194 155 162 Turkey 80 79 107 103 99 52 80 76 130 131 United Kingdom 146 141 144 213 126 123 127 146 163 117 United States 124 122 112 120 103 128 103 186 88 127 Total 123 120 124 111 115 118 111 142 109 125 South America Argentina 54 51 65 39 64 45 64 38 57 46 Bolivia 34 32 50 39 54 25 39 21 38 55 Brazil 69 69 77 41 95 78 78 55 91 83 Chile 74 75 90 60 93 64 92 68 87 127 Colombia 58 56 84 54 75 40 62 41 75 71 Ecuador 52 53 74 49 68 53 56 33 57 66 Paraguay 40 36 47 35 61 24 45 28 56 40 Peru 56 54 77 59 62 40 64 47 59 74 Uruguay 67 67 77 58 82 71 74 55 83 75 Venezuela, R. B. 68 65 98 45 112 43 88 54 62 71 Total 65 63 77 44 84 62 74 50 78 74 West Asia Bahrain 82 92 85 67 77 210 65 79 56 110 Egypt, Arab Rep.d 35 35 58 56 44 34 35 15 29 98 Iraq 47 45 62 59 46 72 32 22 35 84 Jordan 67 72 81 68 65 136 71 45 49 75 Kuwait 91 108 86 66 129 199 78 93 58 123 Tables of Results 45 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 91 98 85 79 91 86 91 98 106 106 90 77 61 74 66 80 68 71 106 106 118 99 65 36 77 48 71 36 42 82 101 76 90 117 178 127 122 130 160 191 155 105 231 113 117 160 100 115 129 146 146 155 116 211 150 169 237 191 183 174 227 229 169 123 238 140 74 58 82 64 76 53 69 90 99 89 96 107 178 96 101 106 145 128 105 113 110 110 57 40 58 51 67 39 46 85 100 78 95 54 24 61 53 54 30 59 82 88 84 79 54 34 66 44 60 34 41 65 78 59 82 62 43 62 57 69 46 61 99 105 100 106 97 122 83 90 94 109 108 96 98 101 116 111 139 115 99 114 127 141 131 104 168 122 140 203 153 147 146 186 181 172 106 293 131 146 273 155 164 171 252 232 167 109 275 121 83 58 93 68 85 63 61 100 109 101 92 125 217 147 133 137 183 177 156 105 232 131 101 248 87 111 114 210 164 120 90 167 101 108 167 108 113 117 146 152 127 103 163 110 70 59 74 48 53 42 52 69 100 63 72 50 19 41 36 36 12 22 52 106 36 54 86 78 59 62 74 43 62 76 108 72 79 78 94 82 70 79 60 75 76 101 75 80 74 59 48 57 59 43 51 69 120 55 72 76 56 62 50 57 29 42 55 93 46 58 57 27 45 39 39 20 37 61 108 48 64 65 60 63 48 57 38 60 62 106 51 64 76 74 81 63 72 45 60 71 99 69 75 87 72 72 60 68 45 51 103 135 103 108 79 70 62 59 67 42 59 74 109 67 78 82 99 111 65 97 70 81 57 79 53 47 48 16 64 32 40 10 18 48 90 33 41 61 29 82 37 50 23 33 51 69 53 40 74 54 130 66 79 36 42 55 74 52 58 107 158 141 93 109 105 97 60 86 56 39 (continued) 46 Global Purchasing Power Parities and Real Expenditures TABLE 2 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Lebanon 70 78 85 77 136 76 80 54 54 135 Oman 75 83 80 69 72 163 62 68 53 112 Qatar 94 110 85 65 89 366 67 76 48 115 Saudi Arabia 80 88 90 63 72 130 60 66 59 173 Syrian Arab Republic 47 47 60 50 59 70 49 26 46 73 Yemen, Rep. 45 48 67 38 47 58 54 20 44 127 Total 64 59 69 58 63 78 55 35 48 119 WORLD 100 100 100 100 100 100 100 100 100 100 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Tables of Results 47 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 85 66 201 69 84 48 49 50 75 49 31 72 99 104 59 85 71 64 56 76 55 55 83 137 107 65 114 83 85 71 82 62 246 104 119 129 67 88 77 78 58 75 57 60 44 21 70 35 54 16 29 47 83 36 43 62 19 86 47 54 17 25 38 76 27 62 77 52 103 49 63 41 50 56 79 49 62 100 100 100 100 100 100 100 100 100 100 100 Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Refer to appendix F regarding comparability between regions. c. GFCF was estimated where one or more of its components were suppressed. For more details, refer to appendix F. d. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. e. Zimbabwe: Data were suppressed because of extreme volatility in the official exchange rate. f. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. g. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 48 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 3 Nominal expenditures, US$ millions­ Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication culture Africa Angola 30,271 8,188 3,333 361 403 728 464 459 420 67 174 Benin 4,358 3,511 1,573 86 332 373 114 105 265 63 78 Botswana 9,711 3,124 686 275 193 282 231 203 407 91 76 Burkina Faso 5,538 4,162 1,747 383 137 389 354 119 325 45 76 Burundib … … … … … … … … … … … Cameroon 16,648 12,444 5,321 310 1,223 1,078 1,280 287 863 157 199 Cape Verde 1,059 924 266 16 31 249 45 33 56 28 28 Central African Republic 1,350 1,240 756 119 103 67 68 23 47 11 23 Chad 5,873 3,514 1,941 52 57 81 253 48 685 30 166 Comoros 372 343 237 5 19 51 1 5 3 4 2 Congo, Dem. Rep. 7,118 4,912 3,056 99 246 587 138 196 167 41 44 Congo, Rep. 6,129 1,896 719 74 47 250 65 114 151 94 41 Côte d’Ivoire 16,389 11,832 5,045 375 413 1,132 982 491 1,298 341 411 Djibouti 702 461 157 60 12 76 32 20 37 2 2 Egypt, Arab Rep.c 98,831 76,034 32,318 2,122 5,985 9,992 2,820 3,797 3,071 2,025 1,961 Equatorial Guinea 6,636 2,002 791 48 108 286 79 148 167 78 33 Ethiopia 11,066 9,129 4,977 74 561 1,596 648 196 196 27 53 Gabon 8,666 3,147 1,092 60 156 443 94 201 191 122 76 Gambia, The 280 270 99 2 23 11 10 21 7 5 16 Ghana 10,719 8,531 4,193 181 780 567 549 487 503 25 253 Guinea 2,937 2,061 893 41 139 152 112 245 159 5 24 Guinea-Bissau 311 257 134 4 21 35 19 7 17 1 10 Kenya 18,730 16,083 5,636 527 501 1,245 759 1,310 1,977 469 993 Lesotho 1,450 1,538 545 54 193 113 101 112 88 27 25 Liberia 608 366 94 15 45 66 19 19 9 13 6 Madagascar 5,453 4,125 2,405 130 171 599 194 186 132 19 30 Malawi 2,855 2,550 592 38 60 348 59 339 360 45 204 Mali 5,486 4,086 1,908 67 196 457 261 180 405 36 125 Mauritania 1,795 1,335 839 13 75 69 49 54 75 15 18 Mauritius 6,284 4,695 1,147 330 231 974 307 255 534 121 257 Morocco 58,956 38,110 13,136 1,204 2,127 5,495 1,813 2,264 3,731 2,138 1,339 Mozambique 6,746 4,905 2,924 157 287 333 130 230 196 8 104 Namibia 6,231 3,883 1,078 110 214 505 211 350 402 30 111 Niger 3,328 2,559 1,190 58 183 217 123 118 204 20 134 Nigeria 113,461 81,244 46,033 830 4,750 9,217 5,711 2,470 3,830 270 1,062 Rwanda 2,387 1,912 818 253 65 272 98 66 98 11 23 São Tomé and Principe 114 110 59 5 4 10 4 6 11 1 2 Tables of Results 49 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 451 245 1,084 0 7,597 591 4,101 10,309 3,360 6,949 0 0 7,674 165 285 170 -98 3,356 154 360 844 277 552 15 -52 -304 518 6 157 0 2,710 415 1,701 1,917 891 984 42 1,564 1,404 184 235 169 0 3,996 166 999 1,106 372 616 118 30 -758 … … … … … … … … … … … … … 506 752 291 174 12,034 410 1,150 2,933 1,417 1,485 31 290 -169 108 25 38 0 878 46 70 352 132 214 6 -7 -280 46 25 42 -90 1,212 28 90 132 36 75 21 0 -112 64 18 130 -12 3,451 63 375 1,190 299 627 264 286 508 14 0 0 2 342 1 38 33 15 16 2 7 -49 147 68 123 0 4,886 27 638 1,435 58 1,030 347 87 45 155 148 59 -20 1,747 150 468 1,148 186 951 11 24 2,592 465 170 534 175 11,372 460 1,770 1,469 521 877 71 341 976 37 19 13 -4 422 39 131 113 33 75 5 1 -4 5,828 2,396 5,277 -1,558 72,285 3,750 7,055 16,652 7,711 8,492 449 642 -1,552 78 71 115 -2 1,981 21 121 2,150 1,103 701 346 -35 2,399 320 202 394 -114 8,898 232 1,329 2,320 728 1,542 51 25 -1,737 323 86 158 143 2,867 280 570 1,985 849 798 338 26 2,938 63 1 11 0 237 33 71 58 29 23 5 16 -134 695 3 296 0 8,286 245 582 3,370 2,372 864 134 0 -1,763 137 41 81 32 2,003 58 98 811 359 409 43 59 -92 6 1 1 0 254 3 66 48 21 25 2 15 -77 1,999 767 757 -856 14,594 1,489 1,508 3,482 1,845 1,620 17 -335 -2,008 204 3 71 3 1,408 130 118 509 64 445 0 2 -718 53 2 25 0 351 15 85 157 139 18 0 85 -85 248 56 48 -92 3,913 212 775 1,307 681 586 39 120 -873 185 49 262 9 2,543 7 233 487 209 277 0 56 -472 253 75 123 0 3,926 160 625 847 624 223 0 361 -433 53 13 46 16 1,274 61 281 1,075 420 624 31 122 -1,018 378 136 223 -197 4,361 335 550 1,347 551 796 0 69 -377 4,410 2,405 2,196 -4,147 33,747 4,363 6,625 16,814 6,970 8,710 1,134 1,024 -3,617 366 22 110 40 4,660 245 625 1,899 619 1,280 0 120 -804 595 178 372 -272 3,326 557 953 1,530 690 764 75 84 -219 89 132 96 -5 2,484 75 429 699 286 394 19 70 -429 3,495 573 2,995 8 79,271 1,973 4,548 13,556 11,713 1,832 11 9 14,105 130 33 51 -6 1,819 93 294 542 216 326 0 21 -381 5 1 2 1 107 3 11 26 12 12 2 2 -35 (continued) 50 Global Purchasing Power Parities and Real Expenditures TABLE 3 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture Africa, cont. Senegal 8,651 6,968 3,492 218 374 711 443 374 277 385 163 Sierra Leone 1,493 1,480 628 41 107 97 38 212 40 38 46 South Africa 242,014 173,635 31,158 8,894 8,878 19,770 11,812 19,247 26,706 3,701 7,190 Sudan 35,183 28,085 15,507 419 1,308 3,988 1,624 562 2,279 29 824 Swaziland 2,557 1,786 748 16 110 242 127 130 122 24 58 Tanzania 12,703 10,358 7,129 325 710 744 453 109 411 12 104 Togo 2,109 2,126 1,044 90 112 141 58 81 344 44 42 Tunisia 29,039 20,350 5,431 789 1,890 2,842 1,573 1,301 1,972 210 513 Uganda 9,136 7,514 2,629 460 228 1,321 467 410 470 145 183 Zambia 7,271 5,375 601 8 283 1,490 355 636 702 19 601 Zimbabwed … … … … … … … … … … … Total 839,156 592,131 220,130 20,095 35,324 71,164 35,692 38,385 54,819 11,140 18,122 Asia/Pacific Bangladesh 61,160 47,500 23,711 1,124 2,746 8,249 1,743 1,736 1,941 221 367 Bhutan 837 443 153 12 28 73 25 57 8 2 15 Brunei Darussalam 9,531 2,727 501 14 120 331 119 144 412 149 209 Cambodia 6,278 5,398 2,548 204 98 677 96 413 390 13 131 Chinae 2,243,846 964,403 232,620 19,819 60,747 141,346 37,808 59,907 38,850 40,228 44,875 Hong Kong, China 177,783 109,770 9,775 788 10,834 19,526 5,552 9,327 6,968 3,235 12,589 Macao, China 11,603 3,569 473 32 175 497 79 289 311 201 547 Taiwan, China 355,061 234,526 34,755 5,210 8,524 35,462 13,290 19,629 23,774 7,431 19,491 Fiji 2,998 2,488 653 74 58 642 236 137 189 10 123 India 778,662 493,594 166,264 10,518 25,709 59,879 13,627 36,134 75,634 7,478 9,424 Indonesia 286,969 192,948 80,275 3,607 6,852 38,976 5,090 5,818 12,577 3,532 3,309 Iran, Islamic Rep. 219,183 122,204 28,581 816 7,620 29,969 6,819 10,295 11,298 2,994 4,387 Lao PDR 2,871 1,807 856 101 32 224 52 56 190 8 54 Malaysia 137,164 70,260 12,138 1,040 1,550 12,270 3,271 3,410 8,904 3,674 2,898 Maldives 750 403 93 8 14 120 14 38 14 13 14 Mongolia 2,331 1,452 521 33 157 244 53 76 92 27 48 Nepal 8,692 7,362 3,587 238 456 1,019 169 649 290 22 75 Pakistan 118,405 94,333 46,001 877 7,070 12,900 2,267 6,827 4,882 1,830 2,539 Philippines 98,718 71,872 31,554 1,406 1,549 10,020 1,336 2,450 3,949 2,858 785 Singapore 116,704 52,416 4,309 1,202 1,855 7,430 3,141 4,425 8,692 1,230 6,395 Sri Lanka 23,958 18,281 6,659 745 1,676 1,375 1,145 614 3,065 175 680 Thailand 176,222 111,220 17,646 4,907 7,738 7,970 6,745 9,252 16,232 1,466 6,569 Vietnam 52,917 33,260 10,423 760 1,179 5,040 1,601 2,704 3,187 287 1,595 Total 4,892,644 2,642,234 714,092 53,533 146,791 394,240 104,276 174,387 221,849 77,085 117,120 Tables of Results 51 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 365 69 266 -170 6,579 390 756 1,940 462 1,408 71 236 -1,250 146 16 70 0 1,408 73 205 177 109 65 3 4 -374 17,973 4,037 17,600 -3,332 154,475 19,160 26,304 41,400 24,302 17,097 0 2,907 -2,231 469 28 854 193 27,929 155 2,080 7,264 3,862 3,398 3 1,433 -3,679 148 11 50 0 1,682 104 246 599 163 401 34 32 -106 161 0 200 0 10,245 114 802 2,786 1,198 1,525 62 28 -1,271 85 50 58 -22 2,063 63 210 347 106 226 16 10 -583 1,328 2,800 1,271 -1,569 18,638 1,712 2,472 6,473 1,864 4,421 187 -92 -164 842 225 133 0 7,059 455 784 2,073 565 1,508 0 29 -1,264 409 0 272 0 4,888 486 698 1,978 1,173 805 0 83 -862 … … … … … … … … … … … … … 45,073 16,529 37,437 -11,779 552,252 39,879 74,694 160,438 80,053 76,370 4,015 9,952 1,941 2,683 1,058 1,920 … 46,439 1,061 2,394 15,300 3,829 11,274 197 0 -4,032 26 0 43 … 341 102 84 446 113 324 8 2 -137 435 138 154 … 2,251 476 1,368 1,138 341 717 80 1 4,297 324 257 248 … 5,099 300 237 734 357 369 8 34 -125 94,423 50,468 143,312 … 852,177 112,226 200,398 930,998 257,964 618,911 54,124 25,183 122,864 8,347 10,093 12,736 … 103,452 6,318 9,294 37,188 19,241 16,182 1,765 -612 22,143 298 437 229 … 3,139 430 619 3,092 721 2,319 52 81 4,242 25,385 17,833 23,743 … 218,247 16,279 30,269 74,701 38,826 29,491 6,384 1,033 14,533 183 71 112 … 2,271 216 238 765 369 287 109 33 -526 28,188 9,189 51,550 … 458,009 35,585 54,117 221,919 101,615 115,008 5,295 32,470 -23,438 10,732 11,900 10,279 … 184,254 8,694 14,190 66,890 11,524 53,444 1,922 782 12,160 9,340 1,893 8,193 … 110,375 11,829 13,940 47,135 28,657 17,050 1,429 24,354 11,548 124 54 59 … 1,707 99 334 955 313 448 194 53 -278 6,338 5,354 9,412 … 61,605 8,654 8,319 28,303 17,467 10,075 761 -493 30,776 57 4 15 … 336 67 100 401 138 157 106 0 -154 151 8 42 … 1,283 169 117 701 346 205 150 152 -90 336 177 345 … 7,098 264 504 1,707 225 1,106 375 570 -1,451 4,273 648 4,218 … 90,176 4,156 7,052 22,390 9,579 11,105 1,706 1,863 -7,233 6,503 2,257 7,204 … 68,494 3,377 6,093 14,222 6,388 6,643 1,192 10,644 -4,112 4,186 3,944 5,608 … 48,365 4,051 8,347 25,728 14,046 11,102 580 -3,778 33,990 534 308 1,306 … 16,659 1,622 1,441 5,684 2,285 3,260 140 731 -2,180 9,917 16,530 6,247 … 99,531 11,688 12,440 50,475 34,522 15,685 267 4,390 -2,303 3,066 2,242 1,176 … 30,708 2,552 3,222 17,208 5,596 10,170 1,443 1,416 -2,189 215,847 134,864 288,150 … 2,412,018 230,217 375,118 1,568,077 554,459 935,333 78,285 98,910 208,305 (continued) 52 Global Purchasing Power Parities and Real Expenditures TABLE 3 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture CIS Azerbaijan 13,270 6,298 3,899 120 354 386 347 320 368 97 151 Armenia 4,900 3,903 2,526 131 117 279 69 198 126 43 55 Belarus 30,210 19,418 6,609 876 1,118 2,172 639 1,728 1,193 690 826 Georgia 6,224 4,645 1,441 251 120 557 133 517 583 193 237 Kazakhstan 57,124 31,572 5,972 931 2,811 8,251 891 3,092 2,708 652 1,538 Kyrgyz Republic 2,460 2,295 945 193 183 163 69 97 212 61 56 Moldova 2,988 3,057 731 234 136 463 211 147 300 141 187 Russian Federationf 764,383 439,088 108,981 26,146 39,958 41,152 17,287 33,043 46,597 18,210 26,702 Tajikistan 2,312 2,064 1,060 13 100 196 57 71 168 38 40 Ukraine 86,142 59,861 19,321 3,060 2,606 5,328 1,958 5,239 6,572 2,223 3,195 Total 970,013 572,201 151,485 31,955 47,503 58,946 21,662 44,451 58,827 22,348 32,988 OECD-Eurostat Albania 8,110 6,483 1,669 324 306 1,296 368 379 801 272 372 Australia 711,964 468,998 40,431 16,695 15,218 86,682 26,596 55,954 48,011 11,563 48,278 Austria 305,082 205,566 18,731 5,129 11,181 35,764 12,983 21,104 23,040 4,623 21,972 Belgium 375,512 250,323 25,357 6,778 10,253 43,666 10,504 32,044 27,979 4,292 19,336 Bosnia and Herzegovina 11,558 11,671 3,463 690 628 1,618 782 1,013 929 298 507 Bulgaria 27,212 21,342 4,382 740 645 4,065 795 1,757 3,609 1,227 1,172 Canada 1,134,779 759,123 58,056 23,999 28,471 145,063 37,826 88,955 87,316 14,331 68,828 Croatia 38,874 26,420 6,192 1,243 1,485 4,738 2,381 3,015 2,909 927 2,472 Cyprus 16,948 12,397 1,986 784 807 1,857 710 868 1,845 255 1,120 Czech Republic 124,753 74,757 10,182 5,021 3,072 14,070 3,316 8,220 7,290 2,195 8,255 Denmark 258,992 169,923 13,752 4,745 5,962 32,899 7,153 18,751 16,952 2,635 15,703 Estonia 13,940 8,904 1,456 645 580 1,525 442 721 1,009 244 832 Finland 195,440 129,497 12,086 4,874 4,691 24,488 5,293 15,203 12,483 2,745 12,735 France 2,136,334 1,546,433 164,794 36,914 57,852 307,125 71,354 187,481 176,802 33,412 137,464 Germany 2,791,289 1,956,390 175,391 55,313 82,535 379,335 107,953 242,673 215,757 43,151 159,051 Greece 246,982 179,910 26,553 8,131 17,794 27,210 10,942 15,925 15,069 4,216 10,868 Hungary 110,570 74,752 10,174 5,035 2,178 11,211 4,037 8,261 9,583 2,744 6,026 Iceland 16,272 12,403 1,057 360 408 1,821 584 1,496 1,598 226 1,294 Ireland 200,832 112,523 5,150 4,560 4,550 18,572 6,038 11,303 10,930 3,027 7,667 Israel 129,753 88,239 11,433 1,813 2,473 17,158 5,096 8,610 8,520 2,801 6,925 Italy 1,769,642 1,255,178 156,721 27,837 83,997 217,608 80,879 150,614 141,121 29,539 80,041 Japan 4,549,190 3,060,231 372,643 76,351 85,488 620,675 143,567 349,502 272,963 81,655 235,993 Korea, Rep. 791,427 463,657 62,422 9,729 17,099 69,128 16,413 37,827 44,170 22,399 30,421 Latvia 16,181 11,488 2,168 687 689 2,055 355 864 1,096 409 938 Lithuania 25,708 19,324 4,491 1,116 1,381 2,382 949 1,774 2,519 444 1,250 Luxembourg 37,347 18,124 1,096 1,221 448 2,471 858 1,694 2,180 155 1,211 Macedonia, FYR 5,814 4,992 1,524 153 271 882 191 335 442 323 114 Tables of Results 53 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 430 131 128 -432 5,535 695 686 5,472 3,105 1,427 940 -516 1,330 188 25 123 23 3,693 203 314 1,458 185 1,261 12 -127 -647 1,975 397 843 352 15,301 3,713 2,566 7,962 3,583 4,321 57 49 215 190 283 70 70 4,260 351 571 1,799 769 973 58 351 -1,142 2,958 876 1,403 -511 27,738 3,092 3,334 15,974 4,797 8,924 2,253 1,207 5,036 139 63 134 -20 2,035 215 215 394 128 246 19 10 -454 229 50 193 35 2,754 265 226 735 127 571 37 186 -1,216 24,203 12,063 32,483 12,263 375,788 58,482 68,737 133,840 49,377 73,870 10,593 19,059 103,659 133 4 46 138 1,846 188 150 257 129 98 30 269 -428 5,764 1,624 3,387 -416 49,295 9,643 6,071 18,921 8,813 9,237 870 568 721 36,209 15,516 38,809 11,503 488,245 76,846 82,870 186,812 71,013 100,928 14,871 21,057 107,073 231 362 395 -293 6,126 346 503 3,257 1,392 1,707 158 -315 -1,818 44,445 32,043 47,151 -4,069 398,865 61,993 67,160 186,564 73,084 100,689 12,792 2,429 -13,187 16,746 20,937 22,113 -8,756 165,593 34,234 21,121 62,085 24,381 34,704 3,000 1,349 14,961 22,048 9,800 34,283 3,985 194,013 52,661 32,811 76,289 33,990 35,786 6,513 2,146 13,942 640 797 780 -475 10,500 1,064 1,258 3,109 1,356 1,653 100 8 -4,489 1,291 1,797 982 -1,122 18,979 2,241 2,662 6,580 3,511 2,873 196 1,033 -4,405 59,706 42,959 99,719 3,894 612,583 131,358 85,393 238,801 71,716 152,987 14,098 8,399 43,063 2,212 2,410 2,131 -5,697 22,125 4,050 3,661 11,287 4,122 6,683 481 757 -3,251 1,055 1,606 1,586 -2,083 10,865 1,367 1,695 3,206 855 2,279 72 85 -434 5,822 4,150 6,211 -3,046 60,250 13,680 13,803 31,152 13,264 16,183 1,705 1,044 3,996 15,481 6,158 30,001 -269 123,880 44,084 22,908 52,918 19,585 24,596 8,736 1,002 12,243 700 549 774 -572 7,381 1,326 1,092 4,340 1,605 2,630 105 491 -889 10,466 6,315 18,403 -285 96,643 28,495 14,796 37,037 10,157 23,013 3,867 3,194 10,916 110,762 74,218 199,336 -11,080 1,187,557 330,625 177,092 423,653 123,955 261,377 38,320 8,617 -19,462 112,050 84,064 261,609 37,506 1,604,376 306,935 217,237 486,007 201,593 252,940 31,474 -9,277 140,932 11,325 32,614 11,254 -11,990 164,999 14,139 26,259 58,521 22,994 31,907 3,621 142 -17,850 5,905 3,023 8,210 -1,634 58,977 13,967 10,889 25,150 10,110 13,656 1,384 977 -1,199 1,153 701 1,125 580 9,376 2,697 1,320 4,584 1,507 2,842 235 -11 -2,023 11,309 13,755 14,996 667 87,720 20,893 10,996 52,387 10,553 40,084 1,750 236 24,689 10,448 3,608 9,849 -496 69,686 16,750 18,178 21,842 9,662 10,617 1,563 1,136 357 82,759 103,591 118,628 -18,156 1,037,455 211,019 150,403 363,891 150,228 172,021 41,642 1,475 -1,305 186,828 196,560 416,250 21,755 2,542,171 460,032 362,740 1,052,220 390,238 536,985 124,998 10,888 63,111 48,169 30,562 68,714 6,605 407,594 47,016 65,117 231,652 72,196 142,948 16,509 12,329 18,671 924 529 564 210 9,964 1,367 1,456 4,954 2,480 2,331 143 610 -2,328 1,357 526 1,404 -269 16,679 2,594 1,811 5,871 2,249 3,379 243 584 -1,883 1,588 858 2,157 2,185 13,783 3,710 2,504 7,466 1,929 4,633 903 645 8,608 273 167 257 60 4,496 474 621 991 369 581 41 213 -1,003 (continued) 54 Global Purchasing Power Parities and Real Expenditures TABLE 3 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture OECD-Eurostat, CONT. Malta 5,886 4,508 711 134 266 478 387 404 606 206 500 Mexico 768,437 577,844 127,991 13,651 14,976 89,654 39,815 40,925 92,558 10,428 17,460 Montenegro 2,220 1,768 558 63 89 399 63 122 114 75 48 Netherlands 632,926 395,877 32,332 8,651 15,843 69,633 19,050 42,129 35,118 13,761 34,876 New Zealand 108,832 76,773 9,115 3,281 2,933 14,436 4,256 8,013 9,038 1,907 9,161 Norway 301,665 166,250 15,823 5,035 6,622 24,293 7,267 21,914 17,411 3,861 17,804 Poland 303,950 222,179 39,743 12,498 8,981 45,055 8,531 19,377 16,562 6,351 15,756 Portugal 185,655 144,048 19,550 4,366 8,884 17,027 8,294 18,124 17,256 3,590 10,858 Romania 98,927 77,610 19,440 3,407 2,397 15,410 3,344 6,399 11,510 1,369 3,388 Russian Federationf 764,383 439,088 108,981 26,146 39,958 41,152 17,287 33,043 46,597 18,210 26,702 Serbia 26,521 21,406 5,519 994 827 4,625 962 1,760 1,780 722 963 Slovak Republic 47,396 30,793 4,827 1,381 1,131 6,873 1,438 2,826 2,311 960 2,655 Slovenia 35,133 23,008 2,886 989 1,141 3,773 1,189 2,615 3,139 702 2,181 Spain 1,129,710 772,006 95,044 19,509 37,732 110,754 35,944 84,220 79,816 17,795 70,037 Sweden 357,779 241,710 20,012 5,886 8,821 46,469 8,644 28,405 22,149 5,333 23,454 Switzerland 372,411 249,068 23,204 7,640 8,806 51,259 9,872 33,189 17,364 5,927 21,275 Turkey 361,257 266,287 61,404 10,219 15,319 63,952 16,729 10,130 31,113 10,658 6,279 United Kingdom 2,244,107 1,745,587 122,826 51,054 80,042 267,198 79,373 172,705 205,389 30,502 186,663 United States 12,376,100 9,501,500 592,566 186,099 398,046 1,521,098 417,902 1,735,345 1,009,179 147,067 818,394 Total 36,173,799 25,906,358 2,495,892 661,889 1,093,276 4,468,903 1,238,710 3,527,988 2,755,934 549,535 2,149,301 South America Argentina 183,174 120,480 27,099 4,384 5,143 17,322 5,850 12,865 11,012 4,433 7,732 Bolivia 9,441 7,127 1,978 110 220 860 379 539 1,275 154 97 Brazil 882,475 594,469 92,127 13,400 24,401 96,741 33,735 71,354 70,590 23,962 25,682 Chile 118,908 74,724 12,117 1,979 5,301 11,487 5,469 7,901 10,155 2,177 3,015 Colombia 122,940 84,497 20,551 3,362 3,721 11,976 4,387 9,011 9,075 2,376 2,977 Ecuador 36,489 25,923 6,720 540 1,614 2,962 1,770 1,836 3,662 1,158 1,557 Paraguay 7,473 5,900 1,905 147 465 689 305 309 671 142 365 Peru 79,379 55,081 16,103 1,054 3,285 4,683 2,838 3,870 4,620 1,358 2,543 Uruguay 16,614 12,872 2,449 456 626 2,513 778 1,466 1,505 391 572 Venezuela, R. B. 144,823 75,489 19,680 2,206 3,006 8,355 3,907 6,666 6,855 3,482 3,151 Total 1,601,716 1,056,562 200,731 27,638 47,781 157,589 59,418 115,817 119,422 39,634 47,690 West Asia Bahrain 13,380 7,017 1,249 35 450 1,198 615 732 657 148 223 Egypt, Arab Rep.c 98,832 76,035 32,318 2,122 5,986 9,992 2,820 3,797 3,071 2,025 1,961 Iraq 33,938 19,123 6,147 151 995 3,010 1,466 2,906 1,770 222 192 Jordan 12,611 12,260 3,524 373 659 2,088 482 944 1,090 447 206 Kuwait 80,798 30,757 4,543 63 2,483 5,651 4,122 1,723 3,791 785 1,258 Tables of Results 55 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 345 578 499 -607 3,774 631 551 1,145 390 657 97 -2 -316 51,253 37,577 45,935 -4,379 520,151 53,244 35,472 148,323 63,622 82,851 1,850 19,131 -12,333 78 22 103 33 1,585 182 493 406 165 211 31 -51 -396 29,439 15,515 78,459 1,071 305,174 85,317 66,049 119,996 35,887 70,332 13,777 648 50,357 5,807 4,968 6,528 -2,672 63,375 11,998 7,753 25,851 9,702 14,247 1,903 713 -2,258 12,544 6,781 23,237 3,657 122,063 38,866 21,678 55,760 18,540 27,929 9,290 8,459 49,519 17,711 5,392 27,161 -938 188,670 30,707 24,249 55,387 23,037 27,846 4,503 3,173 -1,037 12,713 12,740 15,309 -4,663 116,466 23,809 15,976 40,132 12,530 21,212 6,390 1,544 -16,046 4,693 3,427 3,119 -293 67,436 8,917 9,085 22,840 11,058 10,934 848 -377 -10,232 24,203 12,063 32,483 12,263 375,788 58,482 68,737 133,840 49,377 73,870 10,593 19,059 103,659 1,149 511 1,712 -117 18,358 2,794 1,966 4,595 2,168 2,124 302 4,287 -5,732 1,785 1,794 2,846 -32 26,733 3,596 5,174 12,714 6,257 5,568 888 1,120 -2,406 2,037 1,296 2,248 -1,189 18,619 4,045 2,763 8,969 3,513 4,971 485 615 -222 52,302 126,012 78,513 -35,673 642,693 119,298 84,322 331,562 80,770 193,782 57,010 1,634 -59,814 24,675 8,531 39,572 -242 166,241 69,527 27,457 61,661 26,577 26,880 8,203 -346 27,298 19,793 17,544 34,395 -1,199 216,931 24,523 18,742 78,870 36,087 36,790 5,993 1,491 24,241 15,452 10,814 14,217 0 246,806 19,480 28,334 71,592 38,478 33,114 0 19,076 -24,032 103,287 161,735 262,902 21,912 1,383,715 304,432 184,591 385,292 130,825 197,523 56,944 8,978 -80,342 808,000 535,679 1,332,047 80 8,707,800 793,700 1,174,900 2,377,500 717,400 1,341,500 318,600 36,800 -714,600 1,952,960 1,637,639 3,380,167 -5,835 22,135,014 3,462,664 3,093,784 7,392,249 2,525,463 4,054,426 812,360 176,137 -394,729 7,232 8,415 8,991 … 112,354 8,127 13,691 39,302 15,558 22,474 1,270 -1,068 10,769 797 526 194 … 6,293 834 692 1,181 531 593 57 118 323 49,883 21,875 70,719 … 532,649 61,821 115,131 143,576 69,406 62,387 11,783 -2,409 31,708 6,727 2,226 6,170 … 69,225 5,498 7,455 24,519 9,460 14,820 240 2,071 10,139 7,208 4,896 4,958 … 75,374 9,124 13,895 24,639 9,404 14,077 1,158 915 -1,006 2,305 770 1,029 … 24,075 1,848 2,286 7,998 2,983 4,850 165 852 -570 319 247 335 … 5,614 286 475 1,445 710 715 20 19 -366 5,308 4,414 5,003 … 52,458 2,622 5,356 14,963 3,918 9,687 1,357 -254 4,233 710 572 834 … 12,169 703 1,131 2,177 1,033 1,074 70 6 428 7,884 6,155 4,141 … 68,253 7,236 8,128 29,285 12,727 15,153 1,405 3,454 28,467 88,374 50,096 102,373 … 958,464 98,098 168,242 289,083 125,730 145,829 17,525 3,704 84,124 764 144 375 427 6,262 755 871 2,376 736 1,632 7 121 2,996 5,828 2,396 5,277 -1,558 72,285 3,750 7,056 16,652 7,711 8,492 449 642 -1,552 1,754 137 385 -12 15,769 3,355 9,294 3,230 1,965 914 351 1,959 332 1,425 348 622 52 11,089 1,171 1,209 3,856 1,524 1,909 423 443 -5,156 3,936 733 1,670 0 26,583 4,174 7,916 11,820 2,183 9,637 0 1,456 28,849 (continued) 56 Global Purchasing Power Parities and Real Expenditures TABLE 3 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture West Asia, Cont. Lebanon 21,558 19,542 5,634 420 1,220 2,032 1,272 1,626 1,466 276 592 Oman 30,834 12,539 2,724 60 778 2,126 630 665 1,503 470 268 Qatar 42,113 9,225 1,258 23 569 1,586 594 814 1,412 426 302 Saudi Arabia 315,337 116,196 20,630 406 7,134 16,511 9,777 10,088 10,840 2,599 3,891 Syrian Arab Republic 28,379 21,061 8,786 54 1,831 5,036 668 1,717 694 65 287 Yemen, Rep. 16,762 11,549 4,749 235 1,010 1,907 467 437 597 79 146 Total 694,542 335,305 91,562 3,943 23,114 51,139 22,913 25,447 26,891 7,544 9,326 WORLD 44,308,655 30,589,668 3,732,593 770,785 1,347,848 5,150,837 1,462,563 3,889,634 3,188,073 687,049 2,345,884 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic, such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Net purchases from abroad include purchases by resident households outside the economic territory of the country less purchases by non-resident households in the economic territory of the country. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Tables of Results 57 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 3,479 1,049 1,223 -748 18,455 1,087 2,046 4,734 1,050 3,157 528 -37 -4,727 1,441 279 1,376 218 10,829 1,709 4,279 5,559 2,866 1,851 842 25 8,432 1,659 143 440 0 7,546 1,679 3,134 14,165 6,718 5,747 1,699 811 14,778 21,371 4,441 4,056 4,452 90,125 26,071 37,300 52,169 22,594 24,965 4,610 4,164 105,509 1,433 386 105 0 19,742 1,320 1,826 6,716 3,434 3,283 0 -1,788 564 744 279 916 -17 10,766 783 1,257 3,188 1,188 1,880 120 -82 849 43,833 10,334 16,445 2,814 289,451 45,854 76,186 124,464 51,968 63,467 9,029 7,713 150,873 2,352,264 1,850,520 3,825,619 -14,001 26,387,370 3,891,326 3,795,101 9,570,631 3,351,597 5,293,992 925,042 297,773 55,481 Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Changes in inventories and valuables (including work in progress) consist of changes in (a) stocks of outputs that are still held by the units that produced them before their being further pro- cessed, sold, delivered to other units, or used in other ways and (b) stocks of products acquired from other units that are intended to be used for intermediate consumption or for resale without further processing; they are measured by the value of the entries into inventories, less the value of withdrawals and the value of any recurrent losses of goods held in inventories. PPPs are not estimated directly; instead, they are imputed using PPPs for consumer goods equipment. Balance of exports and imports is the difference in value between the total exports and total imports of an economy during a specific period of time. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Burundi: Submitted prices, but did not provide official national accounts data. c. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. d. Zimbabwe: Data were suppressed because of extreme volatility in the official exchange rate. e. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. f. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. g. The difference between the actual individual consumption and the sum of individual consumption expenditure by households and individual consumption expenditure by government is NPISH for OECD-Eurostat and CIS regions. ... Data suppressed because of incompleteness. 58 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 4 Real expenditures, international $ millions Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 54,973 11,140 2,124 532 333 2,382 512 1,207 293 41 Benin 10,468 8,045 1,674 161 535 2,012 209 622 313 41 Botswana 20,498 5,316 646 422 239 842 259 564 389 118 Burkina Faso 14,590 10,846 2,374 768 337 2,029 691 710 298 38 Burundid … … … … … … … … … … Cameroon 34,982 26,680 5,955 550 1,650 3,985 2,186 1,290 1,020 108 Cape Verde 1,354 1,241 243 20 25 314 46 121 52 29 Central African Republic 2,700 2,546 704 208 148 504 119 92 36 9 Chad 14,894 7,924 1,714 72 88 794 333 629 643 20 Comoros 646 551 198 4 21 112 1 24 2 3 Congo, Dem. Rep. 15,742 8,870 2,668 155 395 1,760 225 917 129 25 Congo, Rep. 12,028 3,403 600 109 47 787 93 487 125 62 Côte d’Ivoire 30,069 22,607 5,035 610 592 4,195 1,648 1,679 1,138 242 Djibouti 1,473 913 150 148 15 230 36 84 33 2 Egypt, Arab Rep.e 353,409 266,812 62,340 4,527 13,960 37,482 8,238 48,429 9,344 2,626 Equatorial Guinea 12,179 2,956 566 93 74 634 87 621 134 40 Ethiopia 42,549 34,339 10,432 160 1,053 7,962 1,983 2,161 408 56 Gabon 17,839 4,673 766 92 138 988 94 768 155 80 Gambia, The 1,058 890 122 6 61 124 27 195 8 9 Ghana 26,141 20,544 4,265 334 1,467 4,411 1,099 3,150 600 27 Guinea 8,778 6,142 1,105 210 344 1,009 433 1,289 202 6 Guinea-Bissau 754 576 154 9 26 150 30 40 16 1 Kenya 47,932 42,560 7,865 968 1,090 7,264 1,868 9,236 2,157 372 Lesotho 2,642 3,340 612 96 266 496 162 883 89 22 Liberia 1,234 852 106 30 75 149 40 128 7 11 Madagascar 16,838 13,085 3,526 213 396 2,990 469 1,232 164 29 Malawi 8,567 6,379 696 87 127 1,903 111 1,835 338 37 Mali 12,053 8,962 2,085 176 339 1,676 466 887 437 33 Mauritania 4,808 3,409 995 27 158 508 114 366 88 14 Mauritius 12,628 9,475 1,439 417 350 2,822 525 1,106 462 262 Morocco 107,140 67,942 14,887 1,023 2,343 17,048 3,264 5,761 3,822 2,340 Mozambique 14,423 11,781 3,703 256 408 2,101 227 1,082 174 6 Namibia 9,290 5,593 976 194 227 933 281 1,190 366 26 Niger 7,744 6,012 1,362 111 390 1,077 230 576 206 18 Nigeria 247,284 165,661 38,001 1,411 7,911 38,989 12,906 13,748 5,014 252 Rwanda 7,152 5,465 1,369 555 95 883 171 542 114 12 São Tomé and Principe 217 221 59 8 4 35 6 27 11 1 Tables of Results 59 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 125 1,961 166 1,681 8,705 3,063 11,461 13,683 … … … 106 1,424 354 407 6,433 1,429 1,967 1,559 214 1,921 22 71 2,622 6 313 4,091 1,794 6,410 3,638 1,249 2,526 72 105 1,877 346 483 8,694 1,814 5,762 1,900 … … … … … … … … … … … … … … 208 4,141 911 634 21,554 3,578 4,769 3,730 1,071 3,196 36 26 388 22 66 995 206 213 475 … … … 28 404 34 88 2,079 224 356 149 19 152 21 190 4,761 19 269 5,557 5,552 5,840 1,680 361 1,178 328 2 103 0 0 458 9 244 59 … … 3 49 1,190 73 301 7,321 359 4,524 3,033 … … … 39 1,725 169 128 2,453 2,034 1,982 911 109 1,172 7 401 2,187 211 1,035 18,410 2,251 5,192 1,165 424 702 48 2 294 15 40 695 348 613 193 … … … 4,127 89,626 3,266 18,209 206,548 77,277 64,582 41,551 7,700 42,490 1,106 25 742 68 191 2,395 361 873 2,049 795 761 274 84 … 521 1,463 28,028 3,082 9,093 5,267 661 6,608 97 60 2,183 71 306 3,408 2,576 2,974 3,134 … … … 30 … 2 37 654 462 661 100 30 68 9 358 5,437 3 1,062 16,798 1,683 2,669 5,718 2,458 2,530 208 56 2,171 89 276 4,933 974 851 1,507 … … … 11 78 2 3 471 46 424 91 … … … 1,307 12,505 1,642 2,347 33,736 9,140 6,314 5,170 1,574 4,249 23 22 1,461 4 135 2,612 905 434 542 … 704 0 9 745 3 69 687 122 207 204 114 … 0 53 7,147 113 150 10,376 2,792 4,645 2,214 517 2,131 59 325 2,136 74 725 5,290 125 1,646 1,598 247 1,936 1 155 2,043 109 260 7,149 1,687 3,365 1,141 523 496 0 23 657 15 110 2,684 827 1,647 1,918 … … … 287 2,210 199 392 7,256 3,388 2,198 1,895 501 1,768 0 1,649 11,221 2,337 3,596 54,286 12,311 16,289 25,649 8,752 … 1,510 129 2,411 26 237 9,350 2,472 2,218 2,142 556 2,025 0 103 2,112 120 571 4,176 2,569 2,491 1,978 … … … 166 672 177 254 4,901 568 2,172 1,056 202 1,136 25 1,411 39,574 668 8,445 132,424 29,695 29,238 21,245 11,772 4,032 15 31 1,864 58 135 4,285 1,421 2,240 1,005 … … … 2 46 2 4 178 30 64 30 9 … 2 (continued) 60 Global Purchasing Power Parities and Real Expenditures TABLE 4 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa, ConT. Senegal 18,132 14,587 3,526 414 555 2,680 836 1,693 288 551 Sierra Leone 4,029 3,727 660 92 221 777 75 1,556 46 27 South Africa 397,464 275,997 35,832 12,394 10,162 43,498 12,764 49,810 25,392 3,953 Sudan 79,594 66,381 18,053 383 2,823 12,986 3,754 2,529 2,971 30 Swaziland 4,938 3,571 843 22 102 495 182 1,195 126 22 Tanzania 35,941 28,842 10,057 679 1,380 3,157 983 1,537 516 10 Togo 4,628 4,783 1,088 199 152 961 104 258 358 29 Tunisia 64,794 43,835 6,995 1,140 1,630 10,068 3,001 5,204 2,056 322 Uganda 26,254 21,657 4,501 871 427 6,302 962 2,823 520 113 Zambia 13,441 10,262 682 13 405 4,763 506 2,678 554 9 Zimbabwe 6,202 5,002 1,177 145 437 959 224 124 103 17 Total 1,835,589 1,278,549 265,365 31,184 54,093 238,693 62,649 173,395 61,781 12,137 Asia-Pacific Bangladesh 173,764 138,488 44,490 3,077 5,785 22,853 3,953 17,160 2,444 464 Bhutan 2,345 1,226 266 23 57 226 42 577 12 3 Brunei Darussalam 17,567 4,737 557 19 148 465 151 618 623 193 Cambodia 20,095 16,702 4,525 543 217 1,628 220 6,007 643 22 Chinaf 5,333,230 2,284,210 345,406 28,233 72,534 344,150 58,796 716,470 53,246 105,045 Hong Kong, China 243,096 133,687 8,623 602 13,781 16,690 5,671 24,747 5,765 3,680 Macao, China 17,639 4,979 455 42 227 591 77 1,024 316 230 Taiwan, China 590,531 382,672 31,985 7,338 12,744 46,193 13,714 109,181 26,943 14,692 Fiji 3,546 3,120 621 72 82 438 259 572 155 17 India 2,340,997 1,602,732 346,939 14,711 67,819 214,217 26,435 531,411 102,761 18,886 Indonesia 707,873 513,093 133,912 5,222 17,237 91,250 11,016 31,722 20,235 4,948 Iran, Islamic Rep. 734,551 459,054 45,226 2,924 20,783 111,225 14,754 146,398 32,568 48,304 Lao PDR 10,238 6,284 1,519 213 73 1,251 114 934 246 14 Malaysia 299,582 145,426 16,642 990 2,628 18,948 5,227 19,986 14,044 6,353 Maldives 1,180 647 105 13 20 76 19 275 13 24 Mongolia 6,735 4,133 901 69 303 533 95 1,075 143 56 Nepal 27,386 23,042 7,509 394 1,158 2,841 384 8,205 324 46 Pakistan 368,899 315,529 81,854 1,680 18,093 63,247 5,230 79,655 8,429 5,805 Philippines 249,962 187,578 51,723 4,787 3,038 24,506 2,855 14,817 6,294 4,548 Singapore 180,093 67,578 4,033 459 1,928 7,556 3,026 13,214 7,203 2,228 Sri Lanka 68,461 53,788 11,163 917 4,779 6,593 2,147 6,699 4,632 323 Thailand 444,867 290,849 28,236 7,674 14,750 28,513 11,146 67,562 26,142 2,709 Vietnam 178,075 108,841 19,792 1,833 2,727 14,876 3,132 38,691 3,562 704 Total 12,020,713 6,748,396 1,186,483 81,833 260,913 1,018,865 168,464 1,837,000 316,742 219,293 Tables of Results 61 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 231 2,128 78 556 11,635 2,753 2,948 3,082 410 3,727 99 68 1,342 21 176 2,923 967 1,420 346 114 255 5 8,064 57,599 3,619 25,948 214,869 80,066 74,405 56,940 25,391 26,646 0 1,460 2,844 49 2,635 55,087 1,133 8,616 9,476 3,542 6,178 4 60 707 13 113 2,869 559 851 766 … … … 164 … 0 476 23,770 1,373 4,834 5,090 1,214 4,897 102 54 1,050 66 141 3,856 687 1,063 467 … 435 20 565 5,550 4,957 2,312 34,727 9,526 8,964 11,523 2,403 11,846 297 280 … 367 385 16,882 6,171 5,227 3,337 470 4,165 0 710 … 0 572 7,709 4,468 3,161 2,417 823 1,782 0 70 2,087 10 59 3,732 2,314 2,223 592 … … 0 23,531 302,435 21,108 77,889 1,009,799 287,857 321,250 253,849 81,298 186,854 5,970 751 36,435 1,559 4,733 117,177 9,533 10,904 38,970 3,666 57,768 419 29 284 0 109 813 991 553 1,093 89 1,761 17 302 2,275 154 267 3,470 2,363 5,456 1,804 304 1,817 106 342 8,295 422 625 12,918 5,723 2,825 2,038 370 2,218 19 106,029 759,096 60,992 284,271 1,708,651 1,106,198 1,073,612 2,062,721 240,494 2,623,761 100,226 18,653 19,917 8,739 17,632 111,190 19,549 20,968 56,730 19,706 30,325 2,248 742 1,032 398 327 3,911 1,569 1,294 4,031 681 4,327 56 34,572 107,443 22,497 40,471 310,146 81,342 96,768 120,530 37,370 66,434 8,616 138 841 46 155 2,481 821 605 924 270 481 111 22,572 428,307 15,047 141,451 1,294,629 351,727 255,283 551,791 121,646 496,908 11,003 7,813 145,050 22,783 28,231 426,476 69,222 54,796 135,708 10,137 203,274 3,257 11,122 86,809 2,992 30,987 364,442 120,745 102,863 113,725 30,625 77,609 2,881 141 3,254 96 154 4,863 2,106 3,838 2,696 328 2,699 460 5,776 44,339 6,927 19,182 110,349 59,802 42,111 63,686 17,729 41,933 1,430 22 619 4 27 442 484 442 580 138 292 129 97 2,904 9 91 2,960 2,673 1,026 1,822 314 1,319 326 195 4,955 281 935 19,140 2,710 2,656 4,843 259 6,135 893 6,553 76,428 974 11,964 259,117 49,489 41,408 51,281 9,056 50,252 3,266 1,615 68,601 4,032 18,168 156,045 24,882 26,023 32,340 6,131 29,407 2,266 9,159 13,715 3,900 8,047 54,864 14,102 24,025 44,945 13,208 29,589 846 1,385 7,728 463 3,158 41,814 18,205 9,819 12,932 2,258 13,999 266 13,453 91,420 28,344 14,395 229,204 84,829 47,050 120,180 35,773 72,430 532 4,234 83,894 4,356 3,078 82,263 47,758 30,493 52,700 5,658 70,907 3,695 245,696 1,993,640 185,016 628,459 5,317,365 2,076,823 1,854,818 3,478,070 556,209 3,885,645 143,069 (continued) 62 Global Purchasing Power Parities and Real Expenditures TABLE 4 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS Armenia 12,559 11,843 4,164 313 145 2,633 97 1,538 192 74 Azerbaijan 38,445 22,396 7,580 331 474 4,310 577 3,230 735 182 Belarus 83,492 65,815 13,896 2,477 1,722 18,221 1,128 14,200 1,607 3,273 Georgia 15,287 13,702 2,522 561 151 3,725 205 3,740 856 301 Kazakhstan 131,765 82,187 11,139 3,039 3,253 28,337 1,357 26,171 4,243 830 Kyrgyz Republic 8,887 9,777 2,074 655 253 2,869 117 1,452 403 114 Moldova 8,492 10,420 1,451 896 165 3,667 330 1,410 430 275 Russian Federationg 1,697,541 1,133,238 185,862 68,478 42,070 210,724 25,170 199,590 62,185 27,348 Tajikistan 9,682 10,218 2,375 42 144 4,182 102 1,547 313 82 Ukraine 263,007 219,379 44,912 10,739 3,923 59,039 3,457 43,446 10,650 4,277 Total 2,269,157 1,578,975 275,975 87,530 52,301 337,707 32,541 296,324 81,614 36,756 OECD-Eurostat Albania 16,833 13,497 2,048 598 296 3,290 492 2,696 765 309 Australia 671,511 447,067 32,908 11,096 14,445 87,761 20,946 70,351 35,036 9,300 Austria 280,813 193,015 14,930 5,403 9,219 39,586 11,544 28,806 13,501 4,677 Belgium 335,970 226,830 20,518 6,844 8,016 39,261 8,954 41,461 17,702 3,820 Bosnia and Herzegovina 25,010 24,744 4,552 1,472 565 6,185 1,161 3,771 824 574 Bulgaria 72,199 56,388 7,158 1,685 846 15,057 1,292 10,107 4,133 1,325 Canada 1,133,018 760,161 47,344 16,025 23,047 176,240 31,465 105,614 68,842 14,292 Croatia 58,788 40,328 6,321 1,466 1,221 12,480 2,543 8,019 2,198 1,190 Cyprus 18,550 13,534 1,677 729 674 2,915 652 1,307 1,241 551 Czech Republic 207,552 134,527 13,526 7,702 2,649 34,619 3,868 28,207 6,534 2,073 Denmark 182,220 116,391 8,575 3,827 4,161 23,383 5,171 17,780 7,078 3,153 Estonia 22,449 15,199 1,758 1,013 501 2,965 555 2,330 923 294 Finland 159,809 102,303 8,770 3,491 3,245 20,017 4,206 16,966 6,546 3,409 France 1,862,193 1,401,701 137,780 32,661 53,469 272,763 59,876 247,111 113,420 30,051 Germany 2,514,783 1,793,027 146,773 55,441 67,387 352,078 99,172 340,059 134,736 40,229 Greece 282,839 205,919 24,071 9,358 15,089 35,101 10,217 28,397 12,075 3,837 Hungary 171,624 124,729 12,528 7,425 1,971 28,205 5,153 24,553 7,265 2,958 Iceland 10,546 7,958 536 163 203 1,302 350 1,304 757 191 Ireland 157,901 87,330 3,605 2,444 3,837 14,133 4,796 12,467 6,229 2,579 Israel 156,659 105,777 11,636 1,974 2,651 23,678 5,430 15,567 5,766 3,907 Italy 1,626,326 1,152,651 119,062 26,442 68,650 223,648 67,439 170,780 92,350 28,532 Japan 3,870,282 2,611,415 172,268 86,722 56,345 533,640 94,613 594,499 185,343 70,779 Korea, Rep. 1,027,374 587,106 42,196 11,678 15,450 90,334 21,624 108,187 41,012 39,435 Latvia 30,402 22,419 2,938 1,329 601 5,229 488 3,446 1,088 398 Lithuania 48,087 38,929 6,445 1,942 1,206 7,172 1,307 6,637 2,443 718 Luxembourg 32,557 15,663 844 1,374 340 2,103 719 1,984 1,505 185 Macedonia, FYR 15,037 12,451 2,401 411 338 3,827 288 2,048 459 425 Tables of Results 63 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 122 3,733 37 387 8,616 2,487 1,277 2,262 159 2,995 16 379 9,454 236 396 15,066 9,965 2,803 9,004 2,854 3,734 1,340 1,799 23,806 891 2,231 43,383 32,294 8,099 13,207 3,517 10,660 83 496 3,666 466 179 9,843 3,664 1,635 2,906 733 2,345 81 3,217 41,930 1,501 3,600 56,735 27,733 12,281 24,716 4,702 19,790 3,025 154 4,324 145 530 6,422 4,539 1,293 709 123 704 30 442 5,215 89 577 7,187 3,669 919 1,181 119 1,383 52 49,731 246,639 17,252 68,055 793,746 406,037 190,763 197,049 50,051 146,408 13,533 162 7,602 8 224 6,208 7,420 1,370 440 132 246 45 7,738 98,013 2,881 9,300 147,808 98,381 24,140 34,499 8,847 26,557 1,376 64,240 444,382 23,506 85,480 1,095,014 596,188 244,581 285,973 71,236 214,821 19,581 590 2,149 482 918 10,220 3,019 2,014 4,332 1,293 3,026 173 41,830 69,783 24,231 45,014 356,730 84,864 67,259 165,919 59,364 94,638 11,884 18,428 21,146 14,769 19,228 149,542 42,230 19,959 51,489 21,027 27,876 2,681 16,378 28,911 6,405 30,982 168,468 64,014 25,434 68,238 28,692 32,915 5,840 837 4,210 1,023 1,704 19,024 5,220 3,614 4,531 1,209 3,607 99 2,325 14,104 3,817 2,581 40,508 18,674 12,100 10,977 3,442 7,934 216 65,926 88,629 30,991 100,842 589,133 169,021 87,094 234,733 67,730 157,426 12,970 2,931 7,731 2,061 3,216 29,510 12,250 7,533 14,045 3,796 10,574 461 1,017 1,834 1,082 1,692 11,147 2,115 1,971 3,522 691 3,083 64 13,032 21,949 5,911 11,376 94,949 47,424 29,650 38,578 11,868 26,579 1,575 9,995 15,681 2,822 19,452 81,681 40,605 16,033 37,670 15,452 16,083 6,039 1,171 3,507 615 1,374 10,514 5,273 2,704 4,973 1,471 3,636 91 9,023 12,971 3,493 13,622 72,190 32,014 12,982 31,312 8,315 20,030 3,372 111,290 156,237 46,501 175,044 1,018,011 424,165 137,599 344,165 101,518 216,964 29,452 129,141 118,400 61,836 236,514 1,424,874 362,139 191,705 409,277 166,738 212,933 28,237 10,200 24,099 25,116 12,974 171,905 27,134 36,784 61,323 18,232 40,713 3,799 8,231 22,084 3,402 13,867 85,545 45,136 21,474 28,288 9,098 18,329 1,347 679 1,222 260 671 5,668 2,466 963 3,623 1,132 2,337 202 5,791 13,212 7,482 11,310 64,716 22,493 9,078 36,866 8,407 27,782 1,327 6,819 23,438 2,512 11,632 76,824 32,268 24,938 26,139 7,989 16,838 1,778 65,749 109,282 71,438 112,048 918,839 246,922 126,907 352,602 128,300 188,984 31,835 214,172 225,776 121,243 343,967 1,960,265 675,425 334,088 850,467 261,755 497,295 110,536 33,424 102,589 23,893 92,283 474,689 95,784 98,789 307,933 64,163 254,042 17,719 1,517 5,668 629 1,214 16,069 6,916 4,618 6,127 2,350 3,658 142 2,047 8,459 655 2,773 27,890 12,923 5,297 6,930 2,185 4,730 223 925 1,303 599 1,833 12,359 3,371 1,780 6,572 1,702 4,256 698 190 2,016 274 673 9,402 3,149 2,595 1,841 358 1,774 45 (continued) 64 Global Purchasing Power Parities and Real Expenditures TABLE 4 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication OECD-Eurostat, CONT. Malta 8,225 6,320 761 134 221 1,179 345 991 431 215 Mexico 1,175,040 920,005 170,881 24,921 20,100 111,849 58,918 93,815 110,980 10,155 Montenegro 4,880 3,489 676 149 72 1,029 82 593 101 158 Netherlands 566,596 368,619 32,222 8,509 13,545 59,853 17,879 60,057 19,161 13,705 New Zealand 100,698 73,377 6,904 2,259 2,318 13,882 3,326 11,155 6,632 1,709 Norway 219,781 113,748 8,713 2,208 3,840 22,811 5,135 20,814 7,022 3,472 Poland 517,957 392,003 54,324 20,015 7,121 114,004 10,813 70,920 13,767 6,507 Portugal 211,043 161,285 19,529 5,314 8,242 23,516 8,208 29,307 11,621 3,458 Romania 202,695 158,158 25,210 6,421 2,614 37,781 5,136 31,105 11,456 1,645 Russian Federationg 1,697,541 1,133,238 185,862 68,478 42,070 210,724 25,170 199,590 62,185 27,348 Serbia 64,059 49,945 7,551 2,487 851 16,091 1,227 8,995 1,744 2,360 Slovak Republic 85,551 59,669 6,610 2,364 1,198 18,531 1,844 10,720 2,044 952 Slovenia 46,032 29,948 2,915 1,386 948 6,207 1,283 5,257 2,509 963 Spain 1,183,478 834,640 91,890 26,594 33,591 118,802 31,806 142,365 56,125 17,419 Sweden 288,917 197,020 14,720 4,461 6,379 42,607 6,628 32,806 11,630 6,908 Switzerland 266,292 172,802 13,917 7,621 6,382 31,280 7,361 31,932 9,902 4,677 Turkey 561,075 411,822 64,026 11,833 16,012 158,241 21,670 24,930 21,100 10,376 United Kingdom 1,901,710 1,515,016 95,496 28,621 65,718 278,841 64,632 220,739 111,427 33,158 United States 12,376,100 9,501,500 592,566 186,099 398,046 1,521,098 417,902 1,735,345 1,009,179 147,067 Total 36,469,005 26,413,665 2,247,940 710,586 985,689 4,845,297 1,153,686 4,625,891 2,238,789 561,443 South America Argentina 419,049 289,181 46,192 13,355 8,306 49,057 9,421 63,579 16,886 12,404 Bolivia 34,112 27,290 4,419 334 421 4,389 991 4,769 2,929 356 Brazil 1,583,162 1,053,457 132,996 39,050 26,544 158,957 44,611 244,019 68,711 37,021 Chile 199,583 121,075 14,949 3,923 5,871 22,969 6,110 21,555 10,297 2,180 Colombia 263,703 184,188 27,433 7,497 5,163 37,981 7,268 41,072 10,702 4,260 Ecuador 86,339 59,782 10,202 1,314 2,464 7,161 3,270 10,258 5,629 2,223 Paraguay 23,006 19,759 4,490 505 786 3,672 704 2,055 1,064 458 Peru 176,002 124,478 23,294 2,119 5,440 15,149 4,590 15,238 6,861 2,333 Uruguay 30,629 23,386 3,540 937 787 4,543 1,091 4,978 1,592 668 Venezuela, R. B. 262,510 142,564 22,429 5,900 2,767 24,728 4,588 23,018 9,735 6,269 Total 3,078,096 2,045,160 289,943 74,935 58,548 328,606 82,643 430,542 134,407 68,172 Western Asia Bahrain 20,224 9,294 1,644 61 601 733 973 1,722 1,041 172 Egypt, Arab Rep.e 353,409 266,812 62,340 4,527 13,960 37,482 8,238 48,429 9,344 2,626 Iraq 89,477 52,120 11,036 308 2,242 5,354 4,691 24,553 4,406 338 Jordan 23,498 20,799 4,859 656 1,050 1,966 704 3,918 1,979 761 Kuwait 110,445 34,693 5,872 115 1,986 3,646 5,459 3,462 5,796 811 Tables of Results 65 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 556 873 594 700 4,752 1,545 997 1,397 331 1,031 108 22,740 206,870 44,298 77,005 741,149 164,684 82,261 168,102 53,968 117,036 1,896 74 538 24 238 2,554 1,059 1,911 596 145 461 35 30,016 41,043 10,671 71,361 268,901 111,919 56,597 93,202 30,705 50,610 12,330 7,903 9,013 4,336 6,302 56,305 17,232 8,737 20,016 7,514 11,268 1,282 10,605 13,094 3,084 14,098 80,248 36,019 15,527 39,760 13,450 19,579 6,716 21,528 75,757 5,698 47,148 283,243 121,209 57,396 74,214 20,751 52,030 4,731 10,192 17,731 11,511 16,777 125,745 34,633 20,467 45,750 9,899 32,071 5,864 5,974 29,202 5,128 6,806 114,234 47,820 32,087 32,425 9,938 23,214 898 49,731 246,639 17,252 68,055 793,746 406,037 190,763 197,049 50,051 146,408 13,533 1,807 8,253 677 4,300 35,166 17,137 7,815 8,474 2,488 6,048 372 4,286 10,323 2,497 5,553 44,072 16,272 13,799 15,385 5,354 9,280 850 2,278 4,150 1,356 2,781 22,616 7,789 4,189 11,279 3,202 8,219 421 63,488 93,557 95,495 87,770 643,412 197,066 98,277 304,655 69,629 191,726 47,308 16,885 30,133 4,859 29,902 129,777 78,673 24,835 43,173 22,553 15,281 6,314 14,739 17,942 9,877 23,309 144,818 20,443 13,233 56,590 29,715 22,308 4,991 7,656 65,785 10,145 23,148 332,369 64,700 76,176 85,916 31,535 54,528 0 151,013 117,755 95,500 219,514 1,155,560 350,330 171,091 297,327 111,869 141,765 43,839 818,394 808,000 535,679 1,332,047 8,707,800 793,700 1,174,900 2,377,500 717,400 1,341,500 318,600 2,013,525 2,903,049 1,322,221 3,305,618 21,587,138 4,975,284 3,336,017 6,985,281 2,188,775 4,142,402 742,894 11,113 30,185 9,920 20,609 241,221 40,952 43,388 68,761 13,874 59,586 1,786 194 10,362 1,119 594 19,746 14,496 5,117 2,740 449 2,746 107 30,187 158,998 32,089 126,383 825,082 303,551 306,451 227,643 57,607 144,515 15,020 3,915 17,658 2,375 9,771 100,094 19,413 16,209 38,656 8,429 33,039 304 4,074 30,472 8,969 9,670 146,780 45,052 45,032 43,217 7,038 42,571 1,632 2,053 10,198 1,081 2,274 48,069 13,348 9,012 17,356 2,875 17,607 287 642 2,978 475 940 16,299 3,012 2,081 2,832 590 2,466 31 3,935 21,801 6,144 11,630 104,571 14,603 14,633 29,175 3,308 31,841 2,128 763 2,367 611 1,460 19,456 3,263 3,086 3,671 933 2,607 94 3,649 27,272 7,409 7,627 114,002 33,634 26,179 34,209 8,443 24,469 1,319 60,526 312,290 70,192 190,959 1,635,321 491,324 471,188 468,261 103,544 361,446 22,709 275 1,908 113 643 7,371 2,254 1,769 5,020 831 5,140 15 4,127 89,626 3,266 18,209 206,548 77,277 64,582 41,551 7,700 42,490 1,106 318 15,197 146 1,163 36,301 30,895 46,006 7,540 2,557 2,868 888 279 6,506 233 1,041 15,949 6,792 4,737 8,396 1,841 6,110 733 1,182 6,178 451 1,990 27,835 8,335 13,417 23,549 2,285 28,730 0 (continued) 66 Global Purchasing Power Parities and Real Expenditures TABLE 4 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Western Asia, CONT. Lebanon 38,346 30,638 7,386 651 928 3,417 1,631 5,576 2,394 260 Oman 51,017 18,557 3,798 105 1,125 1,671 1,055 1,813 2,505 535 Qatar 55,839 10,265 1,650 43 657 555 921 1,993 2,619 471 Saudi Arabia 490,580 161,269 25,620 772 10,284 16,322 16,748 28,411 16,322 1,920 Syrian Arab Republic 75,045 54,430 16,260 130 3,193 9,222 1,414 12,543 1,344 114 Yemen, Rep. 46,172 29,635 7,925 741 2,217 4,186 884 4,012 1,200 79 Total 1,354,053 688,511 148,389 8,109 38,242 84,556 42,719 136,431 48,951 8,087 WORLD 54,975,662 37,353,206 4,165,894 921,171 1,393,755 6,605,519 1,509,294 7,251,564 2,810,753 875,914 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Tables of Results 67 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 702 13,074 453 1,973 25,129 4,716 6,880 11,286 1,249 10,772 1,718 376 3,625 234 2,589 14,576 5,052 10,993 12,034 3,395 5,609 1,558 367 2,990 116 745 7,545 4,253 6,032 23,811 7,318 15,322 698 3,756 44,484 2,985 6,711 116,440 70,846 78,044 107,660 26,954 72,636 7,815 658 16,594 482 328 41,755 17,248 10,247 17,179 3,704 15,236 0 237 9,569 282 2,161 22,631 9,702 8,138 9,966 1,404 11,417 194 12,278 209,751 8,763 37,552 522,080 237,372 250,847 267,991 59,239 216,331 14,726 2,365,937 5,829,282 1,610,288 4,239,693 30,166,423 8,181,533 6,223,357 11,500,826 3,002,551 8,818,601 934,308 Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Refer to appendix F regarding comparability between regions. c. GFCF was estimated where one or more of its components were suppressed. For more details, refer to appendix F. d. Burundi: Submitted prices, but did not provide official national account data. e. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. f. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. g. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 68 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 5 Nominal expenditures per capita, US$ Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication culture Africa Angola 1,945 526 214 23 26 47 30 29 27 4 11 Benin 579 466 209 11 44 50 15 14 35 8 10 Botswana 5,712 1,838 403 162 114 166 136 119 239 54 44 Burkina Faso 433 325 136 30 11 30 28 9 25 4 6 Burundib … … … … … … … … … … … Cameroon 950 710 304 18 70 62 73 16 49 9 11 Cape Verde 2,215 1,932 557 33 65 521 94 68 118 58 59 Central African Republic 338 310 189 30 26 17 17 6 12 3 6 Chad 690 413 228 6 7 10 30 6 80 4 20 Comoros 611 565 390 9 31 83 2 9 5 6 2 Congo, Dem. Rep. 120 83 51 2 4 10 2 3 3 1 1 Congo, Rep. 1,845 571 217 22 14 75 20 34 46 28 12 Côte d’Ivoire 858 620 264 20 22 59 51 26 68 18 22 Djibouti 936 615 209 81 16 101 43 26 49 3 2 Egypt, Arab Rep.c 1,412 1,086 462 30 86 143 40 54 44 29 28 Equatorial Guinea 6,538 1,972 780 47 106 282 78 146 165 77 32 Ethiopia 154 127 69 1 8 22 9 3 3 0 1 Gabon 6,190 2,248 780 43 112 316 67 144 137 87 54 Gambia, The 192 185 68 2 16 8 7 14 5 3 11 Ghana 502 400 196 8 37 27 26 23 24 1 12 Guinea 317 222 96 4 15 16 12 26 17 1 3 Guinea-Bissau 234 194 101 3 16 26 14 5 13 1 8 Kenya 531 456 160 15 14 35 22 37 56 13 28 Lesotho 777 824 292 29 103 60 54 60 47 15 13 Liberia 188 113 29 5 14 20 6 6 3 4 2 Madagascar 320 242 141 8 10 35 11 11 8 1 2 Malawi 230 206 48 3 5 28 5 27 29 4 16 Mali 468 348 163 6 17 39 22 15 35 3 11 Mauritania 631 470 295 4 26 24 17 19 26 5 6 Mauritius 5,053 3,776 922 265 186 783 246 205 429 97 207 Morocco 1,952 1,262 435 40 70 182 60 75 124 71 44 Mozambique 347 253 151 8 15 17 7 12 10 0 5 Namibia 3,049 1,900 528 54 104 247 103 171 197 14 54 Niger 264 203 94 5 14 17 10 9 16 2 11 Nigeria 868 622 352 6 36 71 44 19 29 2 8 Rwanda 271 217 93 29 7 31 11 8 11 1 3 São Tomé and Principe 769 738 394 33 28 66 24 40 71 9 11 Tables of Results 69 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 29 16 70 0 488 38 264 662 216 447 0 0 493 22 38 23 -13 446 20 48 112 37 73 2 -7 -40 304 3 92 0 1,594 244 1,001 1,128 524 579 25 920 826 14 18 13 0 312 13 78 86 29 48 9 2 -59 … … … … … … … … … … … … … 29 43 17 10 686 23 66 167 81 85 2 17 -10 227 53 79 0 1,835 97 147 736 276 447 14 -14 -585 11 6 10 -22 303 7 23 33 9 19 5 0 -28 8 2 15 -1 405 7 44 140 35 74 31 34 60 23 0 0 3 563 1 63 54 24 27 3 11 -81 2 1 2 0 82 0 11 24 1 17 6 1 1 47 45 18 -6 526 45 141 346 56 286 3 7 780 24 9 28 9 595 24 93 77 27 46 4 18 51 49 25 17 -6 562 53 174 151 44 100 7 1 -5 83 34 75 -22 1,033 54 101 238 110 121 6 9 -22 77 70 113 -2 1,951 21 120 2,118 1,087 690 341 -35 2,363 4 3 5 -2 123 3 18 32 10 21 1 0 -24 230 62 113 102 2,048 200 407 1,418 607 570 242 18 2,099 43 1 7 0 162 23 49 39 20 16 4 11 -92 33 0 14 0 388 12 27 158 111 40 6 0 -83 15 4 9 3 216 6 11 87 39 44 5 6 -10 4 1 1 0 191 3 50 37 16 19 1 12 -58 57 22 21 -24 414 42 43 99 52 46 0 -9 -57 109 2 38 1 754 70 63 273 34 238 0 1 -384 16 1 8 0 109 5 26 49 43 6 0 26 -26 15 3 3 -5 230 12 45 77 40 34 2 7 -51 15 4 21 1 205 1 19 39 17 22 0 5 -38 22 6 10 0 335 14 53 72 53 19 0 31 -37 19 5 16 6 448 22 99 378 148 220 11 43 -358 304 110 180 -158 3,507 269 442 1,083 443 640 0 55 -303 146 80 73 -137 1,117 144 219 557 231 288 38 34 -120 19 1 6 2 240 13 32 98 32 66 0 6 -41 291 87 182 -133 1,628 273 466 749 338 374 37 41 -107 7 10 8 0 197 6 34 55 23 31 1 6 -34 27 4 23 0 607 15 35 104 90 14 0 0 108 15 4 6 -1 207 11 33 62 25 37 0 2 -43 34 9 15 5 721 17 75 173 83 77 12 16 -233 (continued) 70 Global Purchasing Power Parities and Real Expenditures TABLE 5 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture Africa, Cont. Senegal 800 644 323 20 35 66 41 35 26 36 15 Sierra Leone 293 290 123 8 21 19 7 42 8 7 9 South Africa 5,162 3,703 665 190 189 422 252 410 570 79 153 Sudan 994 793 438 12 37 113 46 16 64 1 23 Swaziland 2,270 1,586 665 14 98 215 112 116 109 21 51 Tanzania 360 293 202 9 20 21 13 3 12 0 3 Togo 405 408 200 17 22 27 11 16 66 8 8 Tunisia 2,896 2,029 542 79 188 283 157 130 197 21 51 Uganda 345 284 99 17 9 50 18 15 18 5 7 Zambia 636 470 53 1 25 130 31 56 61 2 53 Zimbabwed … … … … … … … … … … … Total 1,016 717 267 24 43 86 43 46 66 13 22 Asia-Pacific Bangladesh 446 347 173 8 20 60 13 13 14 2 3 Bhutan 1,318 697 241 18 45 116 39 90 13 3 24 Brunei Darussalam 25,754 7,369 1,353 39 325 894 322 390 1,112 404 565 Cambodia 454 390 184 15 7 49 7 30 28 1 9 China e 1,721 740 178 15 47 108 29 46 30 31 34 Hong Kong, China 26,094 16,111 1,435 116 1,590 2,866 815 1,369 1,023 475 1,848 Macao, China 24,507 7,538 999 67 370 1,050 167 611 657 424 1,155 Taiwan, China 15,674 10,353 1,534 230 376 1,565 587 867 1,050 328 860 Fiji 3,558 2,953 775 88 69 762 280 163 225 11 146 India 707 448 151 10 23 54 12 33 69 7 9 Indonesia 1,311 882 367 16 31 178 23 27 57 16 15 Iran, Islamic Rep. 3,190 1,779 416 12 111 436 99 150 164 44 64 Lao PDR 508 320 151 18 6 40 9 10 34 1 10 Malaysia 5,250 2,689 465 40 59 470 125 130 341 141 111 Maldives 2,552 1,373 315 28 49 408 48 130 47 43 48 Mongolia 915 570 204 13 62 96 21 30 36 11 19 Nepal 343 291 142 9 18 40 7 26 11 1 3 Pakistan 769 613 299 6 46 84 15 44 32 12 16 Philippines 1,158 843 370 16 18 118 16 29 46 34 9 Singapore 26,879 12,072 992 277 427 1,711 723 1,019 2,002 283 1,473 Sri Lanka 1,218 929 339 38 85 70 58 31 156 9 35 Thailand 2,721 1,717 272 76 119 123 104 143 251 23 101 Vietnam 637 400 125 9 14 61 19 33 38 3 19 Total 1,462 790 213 16 44 118 31 52 66 23 35 Tables of Results 71 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 34 6 25 -16 608 36 70 179 43 130 7 22 -116 29 3 14 0 276 14 40 35 21 13 1 1 -73 383 86 375 -71 3,295 409 561 883 518 365 0 62 -48 13 1 24 5 789 4 59 205 109 96 0 40 -104 131 10 44 0 1,493 93 218 532 145 356 30 29 -94 5 0 6 0 290 3 23 79 34 43 2 1 -36 16 10 11 -4 396 12 40 67 20 43 3 2 -112 132 279 127 -156 1,858 171 247 645 186 441 19 -9 -16 32 9 5 0 266 17 30 78 21 57 0 1 -48 36 0 24 0 427 43 61 173 103 70 0 7 -75 … … … … … … … … … … … … … 55 20 45 -14 669 48 90 194 97 92 5 12 2 20 8 14 … 339 8 17 112 28 82 1 0 -29 42 0 67 … 536 161 132 702 178 511 13 4 -217 1,175 374 415 … 6,082 1,287 3,697 3,074 922 1,937 215 3 11,610 23 19 18 … 369 22 17 53 26 27 1 2 -9 72 39 110 … 654 86 154 714 198 475 42 19 94 1,225 1,481 1,869 … 15,184 927 1,364 5,458 2,824 2,375 259 -90 3,250 630 924 484 … 6,630 907 1,308 6,530 1,522 4,899 109 171 8,960 1,121 787 1,048 … 9,635 719 1,336 3,298 1,714 1,302 282 46 642 217 84 133 … 2,696 257 283 908 438 341 130 39 -624 26 8 47 … 416 32 49 202 92 104 5 29 -21 49 54 47 … 842 40 65 306 53 244 9 4 56 136 28 119 … 1,607 172 203 686 417 248 21 355 168 22 9 10 … 302 18 59 169 55 79 34 9 -49 243 205 360 … 2,358 331 318 1,083 669 386 29 -19 1,178 193 15 51 … 1,144 229 339 1,365 469 535 361 0 -525 59 3 16 … 504 66 46 275 136 81 59 60 -35 13 7 14 … 280 10 20 67 9 44 15 22 -57 28 4 27 … 586 27 46 145 62 72 11 12 -47 76 26 84 … 803 40 71 167 75 78 14 125 -48 964 908 1,292 … 11,139 933 1,923 5,926 3,235 2,557 134 -870 7,829 27 16 66 … 847 82 73 289 116 166 7 37 -111 153 255 96 … 1,537 180 192 779 533 242 4 68 -36 37 27 14 … 369 31 39 207 67 122 17 17 -26 65 40 86 … 721 69 112 469 166 280 23 30 62 (continued) 72 Global Purchasing Power Parities and Real Expenditures TABLE 5 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture CIS Armenia 1,523 1,213 785 41 36 87 21 61 39 13 17 Azerbaijan 1,604 761 471 15 43 47 42 39 44 12 18 Belarus 3,090 1,986 676 90 114 222 65 177 122 71 84 Georgia 1,427 1,065 330 58 27 128 31 119 134 44 54 Kazakhstan 3,771 2,084 394 61 186 545 59 204 179 43 102 Kyrgyz Republic 478 446 184 37 36 32 14 19 41 12 11 Moldova 831 850 203 65 38 129 59 41 83 39 52 Russian Federation f 5,341 3,068 761 183 279 288 121 231 326 127 187 Tajikistan 338 301 155 2 15 29 8 10 24 6 6 Ukraine 1,829 1,271 410 65 55 113 42 111 140 47 68 Total 3,934 2,321 614 130 193 239 88 180 239 91 134 OECD-Eurostat Albania 2,587 2,068 532 103 98 414 117 121 256 87 119 Australia 34,774 22,907 1,975 815 743 4,234 1,299 2,733 2,345 565 2,358 Austria 37,056 24,969 2,275 623 1,358 4,344 1,577 2,563 2,799 561 2,669 Belgium 35,852 23,899 2,421 647 979 4,169 1,003 3,059 2,671 410 1,846 Bosnia and Herzegovina 3,007 3,036 901 180 163 421 203 264 242 77 132 Bulgaria 3,525 2,765 568 96 84 527 103 228 468 159 152 Canada 35,133 23,503 1,797 743 881 4,491 1,171 2,754 2,703 444 2,131 Croatia 8,749 5,946 1,394 280 334 1,066 536 679 655 209 556 Cyprus 22,359 16,355 2,620 1,035 1,064 2,450 937 1,145 2,434 337 1,478 Czech Republic 12,190 7,305 995 491 300 1,375 324 803 712 215 807 Denmark 47,793 31,357 2,538 876 1,100 6,071 1,320 3,460 3,128 486 2,898 Estonia 10,341 6,606 1,080 478 431 1,132 328 535 749 181 617 Finland 37,262 24,690 2,304 929 894 4,669 1,009 2,899 2,380 523 2,428 France 34,008 24,618 2,623 588 921 4,889 1,136 2,985 2,815 532 2,188 Germany 33,849 23,724 2,127 671 1,001 4,600 1,309 2,943 2,616 523 1,929 Greece 22,285 16,233 2,396 734 1,606 2,455 987 1,437 1,360 380 981 Hungary 10,962 7,411 1,009 499 216 1,111 400 819 950 272 597 Iceland 54,975 41,901 3,571 1,215 1,377 6,153 1,972 5,054 5,398 764 4,372 Ireland 48,405 27,121 1,241 1,099 1,097 4,476 1,455 2,724 2,634 730 1,848 Israel 19,749 13,431 1,740 276 376 2,612 776 1,311 1,297 426 1,054 Italy 30,195 21,417 2,674 475 1,433 3,713 1,380 2,570 2,408 504 1,366 Japan 35,604 23,951 2,916 598 669 4,858 1,124 2,735 2,136 639 1,847 Korea, Rep. 16,441 9,632 1,297 202 355 1,436 341 786 918 465 632 Latvia 7,035 4,995 942 299 300 893 154 376 477 178 408 Lithuania 7,530 5,660 1,315 327 405 698 278 520 738 130 366 Luxembourg 80,315 38,977 2,358 2,626 962 5,314 1,846 3,644 4,687 334 2,605 Macedonia, FYR 2,858 2,454 749 75 133 434 94 165 217 159 56 Tables of Results 73 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 59 8 38 7 1,148 63 98 453 58 392 4 -40 -201 52 16 15 -52 669 84 83 661 375 172 114 -62 161 202 41 86 36 1,565 380 263 814 367 442 6 5 22 44 65 16 16 977 80 131 413 176 223 13 81 -262 195 58 93 -34 1,831 204 220 1,055 317 589 149 80 332 27 12 26 -4 396 42 42 77 25 48 4 2 -88 64 14 54 10 766 74 63 204 35 159 10 52 -338 169 84 227 86 2,626 409 480 935 345 516 74 133 724 19 1 7 20 269 27 22 38 19 14 4 39 -62 122 34 72 -9 1,046 205 129 402 187 196 18 12 15 147 63 157 47 1,980 312 336 758 288 409 60 85 434 74 116 126 -93 1,954 110 161 1,039 444 545 50 -101 -580 2,171 1,565 2,303 -199 19,482 3,028 3,280 9,112 3,570 4,918 625 119 -644 2,034 2,543 2,686 -1,064 20,113 4,158 2,565 7,541 2,961 4,215 364 164 1,817 2,105 936 3,273 380 18,523 5,028 3,133 7,284 3,245 3,417 622 205 1,331 167 207 203 -124 2,732 277 327 809 353 430 26 2 -1,168 167 233 127 -145 2,459 290 345 852 455 372 25 134 -571 1,849 1,330 3,087 121 18,966 4,067 2,644 7,393 2,220 4,737 436 260 1,333 498 543 480 -1,282 4,980 912 824 2,540 928 1,504 108 170 -732 1,392 2,119 2,092 -2,748 14,333 1,804 2,236 4,229 1,127 3,006 96 112 -573 569 406 607 -298 5,887 1,337 1,349 3,044 1,296 1,581 167 102 391 2,857 1,136 5,536 -50 22,860 8,135 4,227 9,765 3,614 4,539 1,612 185 2,259 519 407 574 -425 5,475 984 810 3,220 1,191 1,951 78 365 -660 1,995 1,204 3,509 -54 18,426 5,433 2,821 7,061 1,937 4,388 737 609 2,081 1,763 1,181 3,173 -176 18,905 5,263 2,819 6,744 1,973 4,161 610 137 -310 1,359 1,019 3,172 455 19,455 3,722 2,634 5,894 2,445 3,067 382 -112 1,709 1,022 2,943 1,015 -1,082 14,888 1,276 2,369 5,280 2,075 2,879 327 13 -1,611 585 300 814 -162 5,847 1,385 1,080 2,493 1,002 1,354 137 97 -119 3,896 2,369 3,800 1,959 31,676 9,112 4,461 15,486 5,091 9,601 794 -38 -6,834 2,726 3,315 3,614 161 21,143 5,036 2,650 12,626 2,544 9,661 422 57 5,951 1,590 549 1,499 -75 10,607 2,549 2,767 3,325 1,471 1,616 238 173 54 1,412 1,768 2,024 -310 17,702 3,601 2,566 6,209 2,563 2,935 711 25 -22 1,462 1,538 3,258 170 19,896 3,600 2,839 8,235 3,054 4,203 978 85 494 1,001 635 1,427 137 8,467 977 1,353 4,812 1,500 2,970 343 256 388 402 230 245 91 4,332 594 633 2,154 1,078 1,014 62 265 -1,012 397 154 411 -79 4,885 760 531 1,720 659 990 71 171 -551 3,416 1,845 4,639 4,700 29,641 7,977 5,384 16,056 4,149 9,964 1,942 1,388 18,511 134 82 126 29 2,211 233 305 487 181 286 20 105 -493 (continued) 74 Global Purchasing Power Parities and Real Expenditures TABLE 5 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture OECD-Eurostat, CONT. Malta 14,605 11,185 1,765 333 661 1,187 960 1,001 1,504 510 1,242 Mexico 7,401 5,565 1,233 131 144 863 383 394 891 100 168 Montenegro 3,564 2,837 895 101 143 641 101 196 183 120 77 Netherlands 38,789 24,262 1,982 530 971 4,268 1,167 2,582 2,152 843 2,137 New Zealand 26,538 18,720 2,223 800 715 3,520 1,038 1,954 2,204 465 2,234 Norway 65,267 35,969 3,423 1,089 1,433 5,256 1,572 4,741 3,767 835 3,852 Poland 7,965 5,822 1,041 327 235 1,181 224 508 434 166 413 Portugal 17,599 13,655 1,853 414 842 1,614 786 1,718 1,636 340 1,029 Romania 4,575 3,589 899 158 111 713 155 296 532 63 157 Russian Federation f 5,341 3,068 761 183 279 288 121 231 326 127 187 Serbia 3,564 2,877 742 134 111 622 129 237 239 97 129 Slovak Republic 8,798 5,716 896 256 210 1,276 267 525 429 178 493 Slovenia 17,558 11,498 1,442 494 570 1,886 594 1,307 1,569 351 1,090 Spain 26,031 17,789 2,190 450 869 2,552 828 1,941 1,839 410 1,614 Sweden 39,621 26,767 2,216 652 977 5,146 957 3,146 2,453 591 2,597 Switzerland 49,675 33,222 3,095 1,019 1,175 6,837 1,317 4,427 2,316 791 2,838 Turkey 5,013 3,695 852 142 213 887 232 141 432 148 87 United Kingdom 37,266 28,988 2,040 848 1,329 4,437 1,318 2,868 3,411 507 3,100 United States 41,674 31,995 1,995 627 1,340 5,122 1,407 5,843 3,398 495 2,756 Total 26,191 18,757 1,807 479 792 3,236 897 2,554 1,995 398 1,556 South America Argentina 4,836 3,181 715 116 136 457 154 340 291 117 204 Bolivia 1,001 756 210 12 23 91 40 57 135 16 10 Brazil 4,791 3,228 500 73 132 525 183 387 383 130 139 Chile 7,305 4,591 744 122 326 706 336 485 624 134 185 Colombia 2,940 2,021 491 80 89 286 105 215 217 57 71 Ecuador 2,761 1,962 509 41 122 224 134 139 277 88 118 Paraguay 1,267 1,000 323 25 79 117 52 52 114 24 62 Peru 2,916 2,024 592 39 121 172 104 142 170 50 93 Uruguay 5,026 3,894 741 138 189 760 235 444 455 118 173 Venezuela, R. B. 5,449 2,840 740 83 113 314 147 251 258 131 119 Total 4,379 2,888 549 76 131 431 162 317 326 108 130 West Asia Bahrain 18,019 9,450 1,682 47 606 1,614 828 986 885 200 300 Egypt, Arab Rep.c 1,412 1,086 462 30 86 143 40 54 44 29 28 Iraq 1,214 684 220 5 36 108 52 104 63 8 7 Jordan 2,304 2,240 644 68 120 381 88 172 199 82 38 Kuwait 32,882 12,517 1,849 26 1,010 2,300 1,678 701 1,543 319 512 Tables of Results 75 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 856 1,433 1,238 -1,506 9,366 1,567 1,368 2,840 969 1,631 240 -4 -784 494 362 442 -42 5,010 513 342 1,429 613 798 18 184 -119 126 35 166 54 2,545 293 792 651 264 338 49 -82 -635 1,804 951 4,808 66 18,703 5,229 4,048 7,354 2,199 4,310 844 40 3,086 1,416 1,211 1,592 -651 15,454 2,926 1,890 6,304 2,366 3,474 464 174 -551 2,714 1,467 5,027 791 26,409 8,409 4,690 12,064 4,011 6,043 2,010 1,830 10,714 464 141 712 -25 4,944 805 635 1,451 604 730 118 83 -27 1,205 1,208 1,451 -442 11,040 2,257 1,514 3,804 1,188 2,011 606 146 -1,521 217 158 144 -14 3,119 412 420 1,056 511 506 39 -17 -473 169 84 227 86 2,626 409 480 935 345 516 74 133 724 154 69 230 -16 2,467 375 264 617 291 285 41 576 -770 331 333 528 -6 4,963 668 961 2,360 1,162 1,034 165 208 -447 1,018 648 1,123 -594 9,305 2,021 1,381 4,482 1,755 2,484 243 307 -111 1,205 2,904 1,809 -822 14,809 2,749 1,943 7,640 1,861 4,465 1,314 38 -1,378 2,733 945 4,382 -27 18,410 7,700 3,041 6,828 2,943 2,977 908 -38 3,023 2,640 2,340 4,588 -160 28,936 3,271 2,500 10,520 4,814 4,907 799 199 3,233 214 150 197 0 3,425 270 393 993 534 460 0 265 -333 1,715 2,686 4,366 364 22,978 5,055 3,065 6,398 2,173 3,280 946 149 -1,334 2,721 1,804 4,485 0 29,322 2,673 3,956 8,006 2,416 4,517 1,073 124 -2,406 1,414 1,186 2,447 -4 16,026 2,507 2,240 5,352 1,828 2,935 588 128 -286 191 222 237 … 2,966 215 361 1,038 411 593 34 -28 284 85 56 21 … 668 88 73 125 56 63 6 13 34 271 119 384 … 2,892 336 625 780 377 339 64 -13 172 413 137 379 … 4,253 338 458 1,506 581 910 15 127 623 172 117 119 … 1,803 218 332 589 225 337 28 22 -24 174 58 78 … 1,822 140 173 605 226 367 12 64 -43 54 42 57 … 952 49 81 245 120 121 3 3 -62 195 162 184 … 1,927 96 197 550 144 356 50 -9 156 215 173 252 … 3,681 213 342 658 312 325 21 2 130 297 232 156 … 2,568 272 306 1,102 479 570 53 130 1,071 242 137 280 … 2,620 268 460 790 344 399 48 10 230 1,029 194 505 575 8,433 1,017 1,173 3,199 992 2,198 9 162 4,035 83 34 75 -22 1,033 54 101 238 110 121 6 9 -22 63 5 14 0 564 120 332 116 70 33 13 70 12 260 64 114 9 2,026 214 221 705 278 349 77 81 -942 1,602 298 680 0 10,818 1,699 3,221 4,810 888 3,922 0 593 11,740 (continued) 76 Global Purchasing Power Parities and Real Expenditures TABLE 5 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture WEST ASIA, CONT. Lebanon 5,741 5,204 1,500 112 325 541 339 433 391 74 158 Oman 12,289 4,997 1,086 24 310 847 251 265 599 187 107 Qatar 51,809 11,349 1,547 29 700 1,951 731 1,001 1,738 524 371 Saudi Arabia 13,640 5,026 892 18 309 714 423 436 469 112 168 Syrian Arab Republic 1,535 1,139 475 3 99 272 36 93 38 4 16 Yemen, Rep. 826 569 234 12 50 94 23 22 29 4 7 Total 3,955 1,909 521 22 132 291 130 145 153 43 53 WORLD 7,230 4,992 609 126 220 841 239 635 520 112 383 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic, such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Net purchases from abroad include purchases by resident households outside the economic territory of the country less purchases by non-resident households in the economic territory of the country. Tables of Results 77 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 927 279 326 -199 4,915 290 545 1,261 280 841 141 -10 -1,259 574 111 548 87 4,316 681 1,706 2,216 1,142 738 336 10 3,361 2,041 176 541 0 9,284 2,065 3,855 17,426 8,265 7,071 2,090 998 18,180 924 192 175 193 3,898 1,128 1,613 2,257 977 1,080 199 180 4,564 77 21 6 0 1,068 71 99 363 186 178 0 -97 31 37 14 45 -1 531 39 62 157 59 93 6 -4 42 250 59 94 16 1,648 261 434 709 296 361 51 44 859 384 302 624 -2 4,306 635 619 1,562 547 864 151 49 9 Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Changes in inventories and valuables (including work in progress) consist of changes in (a) stocks of outputs that are still held by the units that produced them before their being further pro- cessed, sold, delivered to other units, or used in other ways and (b) stocks of products acquired from other units that are intended to be used for intermediate consumption or for resale without further processing; they are measured by the value of the entries into inventories, less the value of withdrawals and the value of any recurrent losses of goods held in inventories. PPPs are not estimated directly; instead, they are imputed using PPPs for consumer goods equipment. Balance of exports and imports is the difference in value between the total exports and total imports of an economy during a specific period of time. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Burundi: Submitted prices, but did not provide official national accounts data. c. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. d. Zimbabwe: Data were suppressed because of extreme volatility in the official exchange rate. e. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. f. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 78 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 6 Real expenditures per capita, international $ Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 3,533 716 136 34 21 153 33 78 19 3 Benin 1,390 1,068 222 21 71 267 28 83 42 5 Botswana 12,057 3,127 380 248 141 496 152 332 229 70 Burkina Faso 1,140 847 185 60 26 158 54 55 23 3 Burundid … … … … … … … … … … Cameroon 1,995 1,522 340 31 94 227 125 74 58 6 Cape Verde 2,831 2,596 509 42 53 656 96 253 109 60 Central African Republic 675 636 176 52 37 126 30 23 9 2 Chad 1,749 931 201 8 10 93 39 74 76 2 Comoros 1,063 907 326 6 35 184 2 39 4 6 Congo, Dem. Rep. 264 149 45 3 7 30 4 15 2 0 Congo, Rep. 3,621 1,025 180 33 14 237 28 147 38 19 Côte d’Ivoire 1,575 1,184 264 32 31 220 86 88 60 13 Djibouti 1,964 1,217 200 197 19 307 48 112 44 3 Egypt, Arab Rep.e 5,049 3,812 891 65 199 535 118 692 133 38 Equatorial Guinea 11,999 2,912 558 92 73 624 85 612 132 40 Ethiopia 591 477 145 2 15 110 28 30 6 1 Gabon 12,742 3,338 547 66 99 706 67 549 111 57 Gambia, The 726 610 84 4 42 85 18 134 6 6 Ghana 1,225 963 200 16 69 207 51 148 28 1 Guinea 946 662 119 23 37 109 47 139 22 1 Guinea-Bissau 569 434 116 7 20 113 22 31 12 0 Kenya 1,359 1,207 223 27 31 206 53 262 61 11 Lesotho 1,415 1,789 328 51 143 265 87 473 48 12 Liberia 383 264 33 9 23 46 12 40 2 3 Madagascar 988 768 207 13 23 175 28 72 10 2 Malawi 691 514 56 7 10 153 9 148 27 3 Mali 1,027 764 178 15 29 143 40 76 37 3 Mauritania 1,691 1,199 350 9 56 179 40 129 31 5 Mauritius 10,155 7,620 1,157 336 281 2,270 422 889 371 211 Morocco 3,547 2,250 493 34 78 564 108 191 127 77 Mozambique 743 607 191 13 21 108 12 56 9 0 Namibia 4,547 2,737 477 95 111 457 138 582 179 13 Niger 613 476 108 9 31 85 18 46 16 1 Nigeria 1,892 1,267 291 11 61 298 99 105 38 2 Rwanda 813 621 156 63 11 100 19 62 13 1 São Tomé and Principe 1,460 1,481 397 53 29 234 39 181 76 8 Tables of Results 79 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 8 126 11 108 559 197 736 879 … … … 14 189 47 54 854 190 261 207 28 255 3 42 1,543 3 184 2,407 1,055 3,771 2,140 735 1,486 42 8 147 27 38 679 142 450 148 … … … … … … … … … … … … … … 12 236 52 36 1,229 204 272 213 61 182 2 54 812 45 137 2,081 431 446 993 … … … 7 101 8 22 520 56 89 37 5 38 5 22 559 2 32 653 652 686 197 42 138 39 3 169 0 0 753 15 401 97 … … 4 1 20 1 5 123 6 76 51 … … … 12 519 51 38 738 612 597 274 33 353 2 21 115 11 54 964 118 272 61 22 37 3 3 392 20 53 927 464 817 258 … … … 59 1,280 47 260 2,951 1,104 923 594 110 607 16 24 731 67 188 2,359 356 860 2,019 784 749 270 1 … 7 20 389 43 126 73 9 92 1 43 1,559 51 218 2,435 1,840 2,124 2,239 … … … 21 … 2 25 449 317 453 68 20 46 6 17 255 0 50 787 79 125 268 115 119 10 6 234 10 30 532 105 92 162 … … … 9 59 1 2 355 35 320 69 … … … 37 355 47 67 957 259 179 147 45 120 1 12 782 2 72 1,399 485 232 290 … 377 0 3 231 1 22 213 38 64 63 35 … 0 3 419 7 9 609 164 272 130 30 125 3 26 172 6 58 427 10 133 129 20 156 0 13 174 9 22 609 144 287 97 45 42 0 8 231 5 39 944 291 579 675 … … … 231 1,777 160 315 5,835 2,725 1,768 1,524 403 1,422 0 55 372 77 119 1,797 408 539 849 290 … 50 7 124 1 12 481 127 114 110 29 104 0 50 1,034 59 279 2,044 1,257 1,219 968 … … … 13 53 14 20 388 45 172 84 16 90 2 11 303 5 65 1,013 227 224 163 90 31 0 3 212 7 15 487 161 255 114 … … … 11 308 10 30 1,196 202 429 204 58 … 13 (Continued) 80 Global Purchasing Power Parities and Real Expenditures TABLE 6 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa, CONT. Senegal 1,676 1,348 326 38 51 248 77 156 27 51 Sierra Leone 790 731 129 18 43 152 15 305 9 5 South Africa 8,477 5,886 764 264 217 928 272 1,062 542 84 Sudan 2,249 1,875 510 11 80 367 106 71 84 1 Swaziland 4,384 3,170 749 19 91 440 161 1,061 112 20 Tanzania 1,018 817 285 19 39 89 28 44 15 0 Togo 888 918 209 38 29 184 20 49 69 6 Tunisia 6,461 4,371 697 114 163 1,004 299 519 205 32 Uganda 991 817 170 33 16 238 36 107 20 4 Zambia 1,175 897 60 1 35 416 44 234 48 1 Zimbabwe 538 434 102 13 38 83 19 11 9 1 Total 2,223 1,548 321 38 66 289 76 210 75 15 Asia-Pacific Bangladesh 1,268 1,011 325 22 42 167 29 125 18 3 Bhutan 3,694 1,931 418 36 90 356 66 908 18 5 Brunei Darussalam 47,465 12,800 1,504 50 401 1,257 407 1,670 1,682 521 Cambodia 1,453 1,208 327 39 16 118 16 434 46 2 Chinaf 4,091 1,752 265 22 56 264 45 550 41 81 Hong Kong, China 35,680 19,622 1,266 88 2,023 2,450 832 3,632 846 540 Macao, China 37,256 10,517 962 88 480 1,248 162 2,163 668 486 Taiwan, China 26,069 16,893 1,412 324 563 2,039 605 4,820 1,189 649 Fiji 4,209 3,703 737 85 98 520 308 679 184 20 India 2,126 1,455 315 13 62 195 24 483 93 17 Indonesia 3,234 2,344 612 24 79 417 50 145 92 23 Iran, Islamic Rep. 10,692 6,682 658 43 303 1,619 215 2,131 474 703 Lao PDR 1,811 1,112 269 38 13 221 20 165 43 2 Malaysia 11,466 5,566 637 38 101 725 200 765 538 243 Maldives 4,017 2,202 357 44 67 258 65 937 45 80 Mongolia 2,643 1,622 354 27 119 209 37 422 56 22 Nepal 1,081 909 296 16 46 112 15 324 13 2 Pakistan 2,396 2,049 532 11 118 411 34 517 55 38 Philippines 2,932 2,200 607 56 36 287 33 174 74 53 Singapore 41,479 15,564 929 106 444 1,740 697 3,043 1,659 513 Sri Lanka 3,481 2,735 568 47 243 335 109 341 236 16 Thailand 6,869 4,491 436 118 228 440 172 1,043 404 42 Vietnam 2,142 1,309 238 22 33 179 38 465 43 8 Total 3,592 2,017 355 24 78 304 50 549 95 66 Tables of Results 81 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 21 197 7 51 1,076 255 272 285 38 345 9 13 263 4 34 573 190 278 68 22 50 1 172 1,228 77 553 4,583 1,708 1,587 1,214 542 568 0 41 80 1 74 1,556 32 243 268 100 175 0 53 628 12 100 2,548 496 755 680 … … … 5 … 0 13 673 39 137 144 34 139 3 10 201 13 27 740 132 204 90 … 84 4 56 553 494 231 3,463 950 894 1,149 240 1,181 30 11 … 14 15 637 233 197 126 18 157 0 62 … 0 50 674 390 276 211 72 156 0 6 181 1 5 324 201 193 51 … … 0 28 366 26 94 1,223 349 389 307 98 226 7 5 266 11 35 855 70 80 284 27 422 3 46 447 1 172 1,281 1,561 871 1,721 140 2,773 27 817 6,147 415 721 9,377 6,385 14,742 4,873 821 4,910 285 25 600 30 45 934 414 204 147 27 160 1 81 582 47 218 1,311 848 823 1,582 184 2,013 77 2,738 2,923 1,283 2,588 16,320 2,869 3,078 8,326 2,892 4,451 330 1,567 2,179 841 690 8,260 3,315 2,733 8,513 1,438 9,138 119 1,526 4,743 993 1,787 13,691 3,591 4,272 5,321 1,650 2,933 380 164 998 55 183 2,945 975 719 1,097 321 571 131 20 389 14 128 1,176 319 232 501 110 451 10 36 663 104 129 1,949 316 250 620 46 929 15 162 1,264 44 451 5,305 1,758 1,497 1,655 446 1,130 42 25 576 17 27 860 373 679 477 58 478 81 221 1,697 265 734 4,223 2,289 1,612 2,438 679 1,605 55 75 2,106 15 92 1,504 1,646 1,505 1,975 470 994 440 38 1,140 4 36 1,162 1,049 403 715 123 518 128 8 196 11 37 755 107 105 191 10 242 35 43 496 6 78 1,683 321 269 333 59 326 21 19 805 47 213 1,830 292 305 379 72 345 27 2,109 3,159 898 1,853 12,636 3,248 5,534 10,352 3,042 6,815 195 70 393 24 161 2,126 926 499 658 115 712 14 208 1,412 438 222 3,539 1,310 726 1,856 552 1,118 8 51 1,009 52 37 990 575 367 634 68 853 44 73 596 55 188 1,589 621 554 1,039 166 1,161 43 (Continued) 82 Global Purchasing Power Parities and Real Expenditures TABLE 6 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS Armenia 3,903 3,681 1,294 97 45 818 30 478 60 23 Azerbaijan 4,648 2,707 916 40 57 521 70 390 89 22 Belarus 8,541 6,733 1,422 253 176 1,864 115 1,453 164 335 Georgia 3,505 3,142 578 129 35 854 47 858 196 69 Kazakhstan 8,699 5,426 735 201 215 1,871 90 1,728 280 55 Kyrgyz Republic 1,728 1,901 403 127 49 558 23 282 78 22 Moldova 2,362 2,899 404 249 46 1,020 92 392 120 77 Russian Federationg 11,861 7,918 1,299 478 294 1,472 176 1,395 435 191 Tajikistan 1,413 1,492 347 6 21 611 15 226 46 12 Ukraine 5,583 4,657 953 228 83 1,253 73 922 226 91 Total 9,202 6,403 1,119 355 212 1,370 132 1,202 331 149 OECD-Eurostat Albania 5,369 4,305 653 191 94 1,050 157 860 244 99 Australia 32,798 21,836 1,607 542 706 4,286 1,023 3,436 1,711 454 Austria 34,108 23,444 1,813 656 1,120 4,808 1,402 3,499 1,640 568 Belgium 32,077 21,656 1,959 653 765 3,748 855 3,958 1,690 365 Bosnia and Herzegovina 6,506 6,437 1,184 383 147 1,609 302 981 214 149 Bulgaria 9,353 7,305 927 218 110 1,951 167 1,309 535 172 Canada 35,078 23,535 1,466 496 714 5,456 974 3,270 2,131 442 Croatia 13,232 9,077 1,423 330 275 2,809 572 1,805 495 268 Cyprus 24,473 17,854 2,212 962 889 3,846 860 1,724 1,637 727 Czech Republic 20,281 13,145 1,322 753 259 3,383 378 2,756 638 203 Denmark 33,626 21,478 1,582 706 768 4,315 954 3,281 1,306 582 Estonia 16,654 11,275 1,304 751 372 2,199 412 1,728 685 218 Finland 30,469 19,505 1,672 666 619 3,816 802 3,235 1,248 650 France 29,644 22,314 2,193 520 851 4,342 953 3,934 1,806 478 Germany 30,496 21,743 1,780 672 817 4,269 1,203 4,124 1,634 488 Greece 25,520 18,580 2,172 844 1,361 3,167 922 2,562 1,089 346 Hungary 17,014 12,365 1,242 736 195 2,796 511 2,434 720 293 Iceland 35,630 26,884 1,812 552 686 4,399 1,183 4,405 2,559 646 Ireland 38,058 21,048 869 589 925 3,406 1,156 3,005 1,501 621 Israel 23,845 16,100 1,771 300 403 3,604 826 2,369 878 595 Italy 27,750 19,667 2,032 451 1,171 3,816 1,151 2,914 1,576 487 Japan 30,290 20,438 1,348 679 441 4,176 740 4,653 1,451 554 Korea, Rep. 21,342 12,196 877 243 321 1,877 449 2,247 852 819 Latvia 13,218 9,747 1,277 578 261 2,274 212 1,498 473 173 Lithuania 14,085 11,403 1,888 569 353 2,101 383 1,944 716 210 Luxembourg 70,014 33,684 1,816 2,954 731 4,522 1,546 4,267 3,236 398 Macedonia, FYR 7,393 6,122 1,180 202 166 1,882 141 1,007 226 209 Tables of Results 83 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 38 1,160 11 120 2,678 773 397 703 49 931 5 46 1,143 29 48 1,821 1,205 339 1,088 345 451 162 184 2,435 91 228 4,438 3,304 829 1,351 360 1,090 8 114 841 107 41 2,257 840 375 666 168 538 19 212 2,768 99 238 3,746 1,831 811 1,632 310 1,307 200 30 841 28 103 1,249 882 251 138 24 137 6 123 1,451 25 161 1,999 1,021 256 329 33 385 14 347 1,723 121 476 5,546 2,837 1,333 1,377 350 1,023 95 24 1,110 1 33 906 1,083 200 64 19 36 7 164 2,081 61 197 3,138 2,089 512 732 188 564 29 261 1,802 95 347 4,441 2,418 992 1,160 289 871 79 188 686 154 293 3,260 963 642 1,382 412 965 55 2,043 3,408 1,183 2,199 17,424 4,145 3,285 8,104 2,899 4,622 580 2,238 2,568 1,794 2,336 18,164 5,129 2,424 6,254 2,554 3,386 326 1,564 2,760 611 2,958 16,084 6,112 2,428 6,515 2,739 3,143 558 218 1,095 266 443 4,949 1,358 940 1,179 314 938 26 301 1,827 494 334 5,248 2,419 1,568 1,422 446 1,028 28 2,041 2,744 959 3,122 18,240 5,233 2,696 7,267 2,097 4,874 402 660 1,740 464 724 6,642 2,757 1,696 3,161 854 2,380 104 1,341 2,420 1,428 2,232 14,705 2,790 2,600 4,646 911 4,068 84 1,273 2,145 578 1,112 9,278 4,634 2,897 3,770 1,160 2,597 154 1,845 2,894 521 3,590 15,073 7,493 2,959 6,952 2,852 2,968 1,114 869 2,602 456 1,019 7,800 3,911 2,006 3,689 1,091 2,697 67 1,720 2,473 666 2,597 13,764 6,104 2,475 5,970 1,585 3,819 643 1,772 2,487 740 2,787 16,206 6,752 2,190 5,479 1,616 3,454 469 1,566 1,436 750 2,868 17,279 4,391 2,325 4,963 2,022 2,582 342 920 2,174 2,266 1,171 15,511 2,448 3,319 5,533 1,645 3,673 343 816 2,189 337 1,375 8,481 4,475 2,129 2,804 902 1,817 134 2,294 4,129 879 2,268 19,149 8,333 3,254 12,238 3,824 7,894 684 1,396 3,184 1,803 2,726 15,598 5,421 2,188 8,886 2,026 6,696 320 1,038 3,567 382 1,770 11,693 4,911 3,796 3,979 1,216 2,563 271 1,122 1,865 1,219 1,912 15,678 4,213 2,165 6,016 2,189 3,225 543 1,676 1,767 949 2,692 15,342 5,286 2,615 6,656 2,049 3,892 865 694 2,131 496 1,917 9,861 1,990 2,052 6,397 1,333 5,277 368 660 2,464 273 528 6,987 3,007 2,008 2,664 1,022 1,590 62 600 2,478 192 812 8,169 3,785 1,551 2,030 640 1,385 65 1,989 2,803 1,288 3,942 26,578 7,249 3,829 14,133 3,659 9,153 1,502 93 991 135 331 4,622 1,548 1,276 905 176 872 22 (Continued) 84 Global Purchasing Power Parities and Real Expenditures TABLE 6 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication OECD-Eurostat, CONT. Malta 20,410 15,681 1,889 331 548 2,925 856 2,460 1,069 534 Mexico 11,317 8,861 1,646 240 194 1,077 567 904 1,069 98 Montenegro 7,833 5,601 1,085 239 116 1,652 131 952 162 254 Netherlands 34,724 22,591 1,975 521 830 3,668 1,096 3,681 1,174 840 New Zealand 24,554 17,892 1,684 551 565 3,385 811 2,720 1,617 417 Norway 47,551 24,610 1,885 478 831 4,935 1,111 4,503 1,519 751 Poland 13,573 10,272 1,424 524 187 2,987 283 1,858 361 171 Portugal 20,006 15,289 1,851 504 781 2,229 778 2,778 1,102 328 Romania 9,374 7,314 1,166 297 121 1,747 238 1,438 530 76 Russian Federationg 11,861 7,918 1,299 478 294 1,472 176 1,395 435 191 Serbia 8,609 6,712 1,015 334 114 2,162 165 1,209 234 317 Slovak Republic 15,881 11,077 1,227 439 222 3,440 342 1,990 380 177 Slovenia 23,004 14,967 1,457 693 474 3,102 641 2,627 1,254 481 Spain 27,270 19,232 2,117 613 774 2,738 733 3,280 1,293 401 Sweden 31,995 21,818 1,630 494 706 4,718 734 3,633 1,288 765 Switzerland 35,520 23,050 1,856 1,017 851 4,172 982 4,259 1,321 624 Turkey 7,786 5,715 888 164 222 2,196 301 346 293 144 United Kingdom 31,580 25,159 1,586 475 1,091 4,631 1,073 3,666 1,850 551 United States 41,674 31,995 1,995 627 1,340 5,122 1,407 5,843 3,398 495 Total 26,404 19,124 1,628 514 714 3,508 835 3,349 1,621 406 South America Argentina 11,063 7,634 1,219 353 219 1,295 249 1,678 446 327 Bolivia 3,618 2,895 469 35 45 466 105 506 311 38 Brazil 8,596 5,720 722 212 144 863 242 1,325 373 201 Chile 12,262 7,438 918 241 361 1,411 375 1,324 633 134 Colombia 6,306 4,405 656 179 123 908 174 982 256 102 Ecuador 6,533 4,524 772 99 186 542 247 776 426 168 Paraguay 3,900 3,350 761 86 133 622 119 348 180 78 Peru 6,466 4,573 856 78 200 557 169 560 252 86 Uruguay 9,266 7,074 1,071 283 238 1,374 330 1,506 482 202 Venezuela, R. B. 9,876 5,364 844 222 104 930 173 866 366 236 Total 8,415 5,591 793 205 160 898 226 1,177 367 186 West Asia Bahrain 27,236 12,516 2,213 83 809 988 1,310 2,319 1,402 231 Egypt, Arab Rep.e 5,049 3,812 891 65 199 535 118 692 133 38 Iraq 3,200 1,864 395 11 80 191 168 878 158 12 Jordan 4,294 3,800 888 120 192 359 129 716 362 139 Kuwait 44,947 14,119 2,390 47 808 1,484 2,222 1,409 2,359 330 Tables of Results 85 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 1,380 2,167 1,474 1,738 11,793 3,834 2,474 3,466 822 2,559 268 219 1,992 427 742 7,138 1,586 792 1,619 520 1,127 18 119 864 39 382 4,100 1,700 3,068 956 233 739 55 1,840 2,515 654 4,373 16,480 6,859 3,469 5,712 1,882 3,102 756 1,927 2,198 1,057 1,537 13,729 4,202 2,131 4,881 1,832 2,748 313 2,294 2,833 667 3,050 17,362 7,793 3,359 8,602 2,910 4,236 1,453 564 1,985 149 1,236 7,422 3,176 1,504 1,945 544 1,363 124 966 1,681 1,091 1,590 11,920 3,283 1,940 4,337 938 3,040 556 276 1,350 237 315 5,283 2,211 1,484 1,499 460 1,074 42 347 1,723 121 476 5,546 2,837 1,333 1,377 350 1,023 95 243 1,109 91 578 4,726 2,303 1,050 1,139 334 813 50 796 1,916 464 1,031 8,181 3,021 2,561 2,856 994 1,723 158 1,138 2,074 678 1,390 11,302 3,892 2,093 5,637 1,600 4,107 210 1,463 2,156 2,200 2,022 14,826 4,541 2,265 7,020 1,604 4,418 1,090 1,870 3,337 538 3,311 14,372 8,712 2,750 4,781 2,498 1,692 699 1,966 2,393 1,317 3,109 19,317 2,727 1,765 7,548 3,964 2,976 666 106 913 141 321 4,612 898 1,057 1,192 438 757 0 2,508 1,955 1,586 3,645 19,190 5,818 2,841 4,938 1,858 2,354 728 2,756 2,721 1,804 4,485 29,322 2,673 3,956 8,006 2,416 4,517 1,073 1,458 2,102 957 2,393 15,630 3,602 2,415 5,057 1,585 2,999 538 293 797 262 544 6,368 1,081 1,145 1,815 366 1,573 47 21 1,099 119 63 2,095 1,538 543 291 48 291 11 164 863 174 686 4,480 1,648 1,664 1,236 313 785 82 241 1,085 146 600 6,149 1,193 996 2,375 518 2,030 19 97 729 214 231 3,510 1,077 1,077 1,034 168 1,018 39 155 772 82 172 3,637 1,010 682 1,313 218 1,332 22 109 505 81 159 2,763 511 353 480 100 418 5 145 801 226 427 3,842 537 538 1,072 122 1,170 78 231 716 185 442 5,886 987 933 1,111 282 789 29 137 1,026 279 287 4,289 1,265 985 1,287 318 921 50 165 854 192 522 4,471 1,343 1,288 1,280 283 988 62 371 2,569 152 866 9,927 3,036 2,383 6,760 1,120 6,922 20 59 1,280 47 260 2,951 1,104 923 594 110 607 16 11 543 5 42 1,298 1,105 1,645 270 91 103 32 51 1,189 43 190 2,914 1,241 866 1,534 336 1,116 134 481 2,514 184 810 11,328 3,392 5,460 9,584 930 11,692 0 (Continued) 86 Global Purchasing Power Parities and Real Expenditures TABLE 6 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication West Asia, CONT. Lebanon 10,212 8,159 1,967 173 247 910 434 1,485 638 69 Oman 20,334 7,396 1,514 42 448 666 421 723 998 213 Qatar 68,696 12,629 2,030 53 809 683 1,133 2,452 3,223 579 Saudi Arabia 21,220 6,976 1,108 33 445 706 724 1,229 706 83 Syrian Arab Republic 4,059 2,944 880 7 173 499 76 678 73 6 Yemen, Rep. 2,276 1,461 391 37 109 206 44 198 59 4 Total 7,711 3,921 845 46 218 482 243 777 279 46 WORLD 8,971 6,095 680 150 227 1,078 246 1,183 459 143 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Tables of Results 87 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 187 3,482 121 525 6,692 1,256 1,832 3,006 333 2,869 458 150 1,445 93 1,032 5,809 2,014 4,381 4,796 1,353 2,235 621 452 3,679 143 917 9,282 5,233 7,421 29,293 9,003 18,850 859 162 1,924 129 290 5,037 3,064 3,376 4,657 1,166 3,142 338 36 898 26 18 2,259 933 554 929 200 824 0 12 472 14 107 1,116 478 401 491 69 563 10 70 1,194 50 214 2,973 1,352 1,428 1,526 337 1,232 84 386 951 263 692 4,923 1,335 1,016 1,877 490 1,439 152 Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Refer to appendix F regarding comparability between regions. c. GFCF was estimated where one or more of its components were suppressed. For more details, refer to appendix F. d. Burundi: Submitted prices, but did not provide official national accounts data. e. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. f. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. g. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 88 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 7 Index of nominal expenditures per capita, world = 100 Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 26.9 10.5 35.2 18.4 11.8 5.6 12.5 4.6 5.2 3.8 Benin 8.0 9.3 34.3 9.1 20.0 5.9 6.3 2.2 6.8 7.5 Botswana 79.0 36.8 66.2 128.7 51.7 19.8 57.0 18.8 46.0 47.9 Burkina Faso 6.0 6.5 22.4 23.8 4.8 3.6 11.6 1.5 4.9 3.1 Burundi b … … … … … … … … … … Cameroon 13.1 14.2 49.8 14.1 31.7 7.3 30.6 2.6 9.5 8.0 Cape Verde 30.6 38.7 91.5 26.0 29.8 62.0 39.4 10.7 22.7 51.8 Central African Republic 4.7 6.2 31.0 23.7 11.7 2.0 7.1 0.9 2.3 2.5 Chad 9.5 8.3 37.4 4.9 3.0 1.1 12.4 0.9 15.5 3.1 Comoros 8.5 11.3 64.0 7.0 14.1 9.9 0.8 1.4 1.0 5.7 Congo, Dem. Rep. 1.7 1.7 8.4 1.3 1.9 1.2 1.0 0.5 0.5 0.6 Congo, Rep. 25.5 11.4 35.5 17.7 6.4 8.9 8.2 5.4 8.8 25.3 Côte d’Ivoire 11.9 12.4 43.4 15.6 9.8 7.1 21.5 4.1 13.1 15.9 Djibouti 12.9 12.3 34.3 64.0 7.1 12.0 18.0 4.1 9.4 2.5 Egypt, Arab Rep.c 19.5 21.8 75.8 24.1 38.9 17.0 16.9 8.5 8.4 25.8 Equatorial Guinea 90.4 39.5 128.0 37.2 48.4 33.5 32.8 23.0 31.7 68.8 Ethiopia 2.1 2.5 11.3 0.8 3.5 2.6 3.8 0.4 0.5 0.3 Gabon 85.6 45.0 128.0 34.3 50.8 37.7 28.1 22.7 26.3 77.9 Gambia, The 2.7 3.7 11.1 1.3 7.2 0.9 2.9 2.2 0.9 3.1 Ghana 6.9 8.0 32.3 6.7 16.6 3.2 10.8 3.6 4.5 1.1 Guinea 4.4 4.4 15.8 3.5 6.8 1.9 5.1 4.2 3.3 0.5 Guinea-Bissau 3.2 3.9 16.6 2.7 7.3 3.1 5.9 0.8 2.4 0.9 Kenya 7.3 9.1 26.2 11.9 6.5 4.2 9.0 5.9 10.8 11.9 Lesotho 10.7 16.5 47.9 22.9 46.9 7.2 22.6 9.4 9.1 13.1 Liberia 2.6 2.3 4.8 3.6 6.3 2.4 2.5 0.9 0.5 3.6 Madagascar 4.4 4.8 23.2 6.1 4.6 4.2 4.8 1.7 1.5 1.0 Malawi 3.2 4.1 7.8 2.4 2.2 3.3 2.0 4.3 5.6 3.3 Mali 6.5 7.0 26.7 4.5 7.6 4.6 9.3 2.4 6.6 2.8 Mauritania 8.7 9.4 48.4 3.5 12.0 2.9 7.2 3.0 5.1 4.7 Mauritius 69.9 75.6 151.4 211.0 84.5 93.2 103.3 32.3 82.5 86.7 Morocco 27.0 25.3 71.4 31.7 32.0 21.6 25.1 11.8 23.7 63.1 Mozambique 4.8 5.1 24.7 6.4 6.7 2.0 2.8 1.9 1.9 0.3 Namibia 42.2 38.1 86.6 42.8 47.5 29.4 43.3 27.0 37.8 12.9 Niger 3.6 4.1 15.5 3.7 6.6 2.0 4.1 1.5 3.1 1.4 Nigeria 12.0 12.5 57.8 5.0 16.5 8.4 18.3 3.0 5.6 1.8 Rwanda 3.8 4.4 15.3 22.8 3.4 3.7 4.6 1.2 2.1 1.1 São Tomé and Principe 10.6 14.8 64.6 25.9 12.9 7.8 10.2 6.2 13.6 8.2 Tables of Results 89 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 2.9 7.5 5.2 11.2 11.3 6.0 42.5 42.4 39.5 51.7 0.0 2.7 5.7 12.5 3.6 10.4 3.2 7.7 7.2 6.7 8.5 1.3 11.6 79.3 1.1 14.8 37.0 38.4 161.6 72.2 95.9 67.0 16.4 1.5 3.7 6.1 2.1 7.2 2.0 12.6 5.5 5.3 5.6 6.1 … … … … … … … … … … … 3.0 7.5 14.2 2.7 15.9 3.7 10.6 10.7 14.8 9.8 1.2 15.4 59.0 17.6 12.6 42.6 15.2 23.7 47.1 50.4 51.7 9.0 1.5 3.0 2.1 1.7 7.0 1.1 3.6 2.1 1.6 2.2 3.5 5.1 2.0 0.7 2.4 9.4 1.2 7.1 8.9 6.4 8.5 20.5 0.6 6.1 0.1 0.0 13.1 0.2 10.2 3.4 4.4 3.1 1.8 0.2 0.6 0.4 0.3 1.9 0.1 1.7 1.5 0.2 2.0 3.9 3.2 12.2 14.7 2.8 12.2 7.1 22.8 22.1 10.3 33.1 2.1 5.6 6.3 3.0 4.5 13.8 3.8 15.0 4.9 5.0 5.3 2.5 0.6 12.8 8.3 2.7 13.1 8.3 28.2 9.7 8.0 11.6 4.8 7.3 21.7 11.3 12.1 24.0 8.4 16.3 15.2 20.1 14.0 4.2 8.5 20.1 23.3 18.1 45.3 3.3 19.3 135.6 198.7 79.9 226.0 0.2 1.2 0.9 0.9 2.9 0.5 3.0 2.1 1.8 2.5 0.5 14.2 60.0 20.5 18.1 47.6 31.5 65.7 90.8 110.9 66.0 160.0 2.9 11.3 0.3 1.2 3.8 3.6 7.9 2.5 3.6 1.8 2.5 3.1 8.5 0.0 2.2 9.0 1.8 4.4 10.1 20.3 4.7 4.2 0.7 3.8 1.5 1.4 5.0 1.0 1.7 5.6 7.1 5.1 3.0 2.0 1.1 0.3 0.1 4.4 0.4 8.1 2.3 3.0 2.2 0.9 7.4 14.8 7.2 3.4 9.6 6.6 6.9 6.3 9.6 5.3 0.3 3.4 28.5 0.5 6.1 17.5 11.0 10.2 17.5 6.3 27.6 0.0 0.5 4.3 0.2 1.2 2.5 0.7 4.3 3.1 7.9 0.6 0.0 0.5 3.8 1.1 0.5 5.3 2.0 7.3 4.9 7.3 4.0 1.5 4.3 3.9 1.3 3.4 4.8 0.1 3.0 2.5 3.1 2.6 0.0 2.8 5.6 2.1 1.7 7.8 2.1 8.6 4.6 9.7 2.2 0.0 1.7 4.9 1.6 2.6 10.4 3.4 15.9 24.2 27.0 25.4 7.1 54.1 79.1 36.3 28.8 81.4 42.4 71.4 69.4 81.0 74.1 0.0 11.6 38.0 26.4 11.6 25.9 22.8 35.4 35.6 42.2 33.4 24.9 1.4 4.9 0.4 0.9 5.6 2.0 5.2 6.3 5.8 7.6 0.0 14.2 75.9 28.9 29.1 37.8 42.9 75.3 47.9 61.8 43.3 24.3 2.8 1.8 3.5 1.2 4.6 0.9 5.5 3.5 4.1 3.6 1.0 2.1 7.0 1.5 3.7 14.1 2.4 5.6 6.6 16.4 1.6 0.1 0.7 3.9 1.2 0.9 4.8 1.7 5.4 3.9 4.5 4.3 0.0 2.8 8.9 3.0 2.3 16.7 2.7 12.1 11.1 15.2 9.0 8.1 (continued) 90 Global Purchasing Power Parities and Real Expenditures TABLE 7 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa, Cont. Senegal 11.1 12.9 53.0 16.0 15.7 7.8 17.2 5.4 4.9 31.7 Sierra Leone 4.0 5.8 20.2 6.4 9.5 2.3 3.1 6.6 1.5 6.6 South Africa 71.4 74.2 109.1 150.8 86.1 50.2 105.6 64.7 109.5 70.4 Sudan 13.7 15.9 71.9 9.4 16.8 13.4 19.2 2.5 12.4 0.7 Swaziland 31.4 31.8 109.1 11.2 44.5 25.6 47.1 18.2 20.9 18.7 Tanzania 5.0 5.9 33.2 7.3 9.1 2.5 5.4 0.5 2.2 0.3 Togo 5.6 8.2 32.9 13.7 9.8 3.2 4.7 2.4 12.7 7.5 Tunisia 40.0 40.7 88.9 62.5 85.7 33.7 65.7 20.4 37.8 18.7 Uganda 4.8 5.7 16.3 13.8 3.9 5.9 7.4 2.4 3.4 4.9 Zambia 8.8 9.4 8.6 0.6 11.2 15.5 13.0 8.8 11.8 1.5 Zimbabwed … … … … … … … … … … Total 14.1 14.4 43.8 19.3 19.4 10.3 18.1 7.3 12.8 12.0 Asia-Pacific Bangladesh 6.2 6.9 28.4 6.5 9.1 7.2 5.3 2.0 2.7 1.4 Bhutan 18.2 14.0 39.5 14.4 20.3 13.8 16.3 14.2 2.5 2.5 Brunei Darussalam 356.2 147.6 222.1 30.8 147.8 106.4 135.1 61.4 213.8 359.9 Cambodia 6.3 7.8 30.3 11.7 3.2 5.8 2.9 4.7 5.4 0.9 Chinae 23.8 14.8 29.3 12.1 21.2 12.9 12.2 7.2 5.7 27.5 Hong Kong, China 360.9 322.8 235.5 91.9 723.0 341.0 341.4 215.7 196.6 423.5 Macao, China 338.9 151.0 164.0 53.1 168.3 124.9 70.2 96.2 126.2 378.2 Taiwan, China 216.8 207.4 251.9 182.8 171.1 186.3 245.8 136.5 201.7 292.6 Fiji 49.2 59.2 127.3 69.7 31.5 90.6 117.4 25.6 43.2 10.1 India 9.8 9.0 24.8 7.6 10.6 6.5 5.2 5.2 13.2 6.1 Indonesia 18.1 17.7 60.2 13.1 14.2 21.2 9.7 4.2 11.0 14.4 Iran, Islamic Rep. 44.1 35.6 68.3 9.4 50.4 51.9 41.6 23.6 31.6 38.9 Lao PDR 7.0 6.4 24.9 14.2 2.5 4.7 3.8 1.6 6.5 1.3 Malaysia 72.6 53.9 76.3 31.6 27.0 55.9 52.5 20.6 65.5 125.4 Maldives 35.3 27.5 51.7 22.1 22.1 48.5 20.1 20.4 9.0 38.2 Mongolia 12.7 11.4 33.6 10.4 28.0 11.4 8.7 4.7 6.9 9.6 Nepal 4.7 5.8 23.2 7.5 8.2 4.8 2.8 4.0 2.2 0.8 Pakistan 10.6 12.3 49.1 4.5 20.9 10.0 6.2 7.0 6.1 10.6 Philippines 16.0 16.9 60.8 13.1 8.3 14.0 6.6 4.5 8.9 29.9 Singapore 371.8 241.8 162.9 220.1 194.3 203.6 303.1 160.6 384.8 252.7 Sri Lanka 16.8 18.6 55.6 30.1 38.8 8.3 24.4 4.9 30.0 7.9 Thailand 37.6 34.4 44.7 60.2 54.3 14.6 43.6 22.5 48.2 20.2 Vietnam 8.8 8.0 20.6 7.3 6.4 7.2 8.1 5.1 7.4 3.1 Total 20.2 15.8 35.0 12.7 19.9 14.0 13.1 8.2 12.7 20.5 Tables of Results 91 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 3.9 8.8 2.1 3.9 14.1 5.7 11.3 11.5 7.8 15.1 4.4 2.4 7.5 1.1 2.2 6.4 2.3 6.5 2.2 3.9 1.5 0.4 40.1 99.9 28.5 60.1 76.5 64.4 90.6 56.5 94.8 42.2 0.0 6.1 3.5 0.3 3.9 18.3 0.7 9.5 13.1 20.0 11.1 0.1 13.4 34.2 3.4 7.1 34.7 14.6 35.2 34.0 26.5 41.3 20.0 0.8 1.2 0.0 0.9 6.7 0.5 3.7 5.1 6.2 5.0 1.2 2.1 4.2 3.2 1.8 9.2 1.9 6.5 4.3 3.7 5.0 2.0 13.4 34.5 92.5 20.3 43.2 26.9 39.8 41.3 34.0 51.0 12.4 1.8 8.3 2.8 0.8 6.2 2.7 4.8 5.0 3.9 6.6 0.0 13.7 9.3 0.0 3.8 9.9 6.7 9.8 11.1 18.8 8.1 0.0 … … … … … … … … … … … 5.7 14.2 6.6 7.3 15.5 7.6 14.6 12.4 17.7 10.7 3.2 0.7 5.1 2.6 2.2 7.9 1.2 2.8 7.2 5.1 9.5 1.0 6.2 10.8 0.2 10.8 12.5 25.4 21.3 44.9 32.6 59.1 8.7 147.7 306.1 123.9 66.5 141.2 202.7 597.0 196.9 168.6 224.2 142.6 2.5 6.1 6.1 2.9 8.6 3.4 2.8 3.4 4.7 3.1 0.4 9.0 18.9 12.8 17.6 15.2 13.6 24.8 45.7 36.2 55.0 27.5 482.7 319.2 490.6 299.4 352.6 146.0 220.3 349.5 516.3 274.9 171.6 301.8 164.0 306.0 77.5 154.0 142.9 211.2 418.1 278.3 567.1 72.5 224.8 291.9 260.7 167.9 223.7 113.2 215.8 211.2 313.4 150.7 186.7 38.2 56.6 27.8 21.2 62.6 40.4 45.7 58.1 80.0 39.4 85.8 2.2 6.7 2.8 7.5 9.7 5.1 7.9 12.9 16.9 12.1 3.2 3.9 12.8 18.0 7.5 19.6 6.3 10.5 19.6 9.6 28.3 5.8 16.7 35.4 9.1 19.1 37.3 27.1 32.8 43.9 76.3 28.7 13.8 2.5 5.7 3.1 1.7 7.0 2.8 9.5 10.8 10.1 9.2 22.8 29.0 63.2 67.9 57.7 54.8 52.2 51.4 69.4 122.2 44.6 19.3 12.6 50.2 5.0 8.1 26.6 36.0 54.7 87.4 85.7 62.0 239.2 4.9 15.4 1.0 2.6 11.7 10.4 7.4 17.6 24.8 9.3 39.0 0.8 3.4 2.3 2.2 6.5 1.6 3.2 4.3 1.6 5.1 9.8 4.3 7.2 1.4 4.4 13.6 4.3 7.4 9.3 11.4 8.3 7.3 2.4 19.9 8.8 13.5 18.7 6.2 11.5 10.7 13.7 9.0 9.3 384.7 251.2 300.8 206.9 258.7 146.9 310.4 379.4 591.5 296.0 88.5 9.0 7.1 5.2 10.6 19.7 13.0 11.8 18.5 21.2 19.2 4.7 26.5 39.9 84.5 15.5 35.7 28.4 31.0 49.9 97.5 28.0 2.7 5.0 9.6 8.9 2.3 8.6 4.8 6.3 13.3 12.3 14.2 11.5 9.1 16.8 13.3 13.8 16.7 10.8 18.1 30.0 30.3 32.4 15.5 (continued) 92 Global Purchasing Power Parities and Real Expenditures TABLE 7 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS Armenia 21.1 24.3 128.9 32.4 16.6 10.3 8.9 9.7 7.5 11.8 Azerbaijan 22.2 15.3 77.4 11.6 19.5 5.5 17.6 6.1 8.6 10.5 Belarus 42.7 39.8 111.0 71.3 52.0 26.4 27.4 27.9 23.5 62.9 Georgia 19.7 21.3 54.2 45.8 12.5 15.2 12.8 18.7 25.7 39.4 Kazakhstan 52.2 41.8 64.7 48.8 84.4 64.8 24.6 32.2 34.4 38.4 Kyrgyz Republic 6.6 8.9 30.2 29.8 16.2 3.8 5.7 3.0 7.9 10.7 Moldova 11.5 17.0 33.4 51.8 17.2 15.3 24.6 6.4 16.0 34.9 Russian Federationf 73.9 61.5 125.0 145.2 126.9 34.2 50.6 36.4 62.6 113.5 Tajikistan 4.7 6.0 25.4 1.5 6.6 3.4 3.5 1.6 4.7 5.0 Ukraine 25.3 25.5 67.3 51.6 25.2 13.5 17.4 17.5 26.8 42.1 Total 54.4 46.5 100.9 103.0 87.6 28.4 36.8 28.4 45.9 80.8 OECD-Eurostat Albania 35.8 41.4 87.4 82.2 44.3 49.2 49.2 19.0 49.1 77.3 Australia 480.9 458.9 324.2 648.3 338.0 503.7 544.3 430.6 450.8 503.8 Austria 512.5 500.2 373.5 495.3 617.5 516.8 660.7 403.8 537.9 500.8 Belgium 495.8 478.8 397.5 514.5 445.0 496.0 420.2 482.0 513.5 365.5 Bosnia and Herzegovina 41.6 60.8 147.9 142.7 74.3 50.1 85.3 41.5 46.5 69.1 Bulgaria 48.8 55.4 93.2 76.2 38.0 62.7 43.1 35.9 89.9 141.8 Canada 485.9 470.8 295.1 590.7 400.8 534.3 490.7 433.9 519.6 395.7 Croatia 121.0 119.1 228.8 222.5 151.9 126.9 224.5 106.9 125.8 186.2 Cyprus 309.2 327.6 430.1 822.8 483.8 291.5 392.7 180.4 467.9 300.3 Czech Republic 168.6 146.3 163.3 390.1 136.5 163.6 135.8 126.5 136.9 191.3 Denmark 661.0 628.2 416.6 696.2 500.2 722.3 553.0 545.2 601.3 433.7 Estonia 143.0 132.3 177.3 380.4 195.8 134.6 137.5 84.2 143.9 161.4 Finland 515.4 494.6 378.3 738.8 406.6 555.5 422.8 456.7 457.5 466.8 France 470.3 493.2 430.7 467.2 418.7 581.7 475.9 470.2 541.0 474.4 Germany 468.1 475.3 349.2 533.3 455.0 547.3 548.5 463.6 502.9 466.7 Greece 308.2 325.2 393.3 583.3 730.0 292.1 413.7 226.4 261.3 339.3 Hungary 151.6 148.5 165.6 396.8 98.2 132.2 167.7 129.0 182.6 242.7 Iceland 760.3 839.4 586.2 966.2 626.1 732.0 826.2 796.3 1,037.6 681.6 Ireland 669.5 543.3 203.8 873.8 498.6 532.6 609.7 429.2 506.4 650.7 Israel 273.1 269.1 285.7 219.4 171.1 310.7 325.0 206.5 249.3 380.2 Italy 417.6 429.0 439.0 377.6 651.6 441.7 578.2 404.9 462.8 449.6 Japan 492.4 479.8 478.8 475.1 304.2 577.9 470.8 430.9 410.6 570.0 Korea, Rep. 227.4 193.0 212.9 160.7 161.5 170.8 142.9 123.8 176.4 415.0 Latvia 97.3 100.1 154.7 237.6 136.3 106.3 64.6 59.2 91.6 158.5 Lithuania 104.1 113.4 216.0 259.9 183.9 83.0 116.5 81.9 141.8 116.0 Luxembourg 1,110.8 780.8 387.1 2,087.7 437.6 632.2 773.3 574.1 901.0 298.1 Macedonia, FYR 39.5 49.2 123.0 59.6 60.6 51.6 39.3 26.0 41.7 141.8 Tables of Results 93 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 4.5 15.2 2.5 6.1 26.7 9.9 15.8 29.0 10.5 45.3 2.5 4.8 13.5 5.2 2.5 15.5 13.2 13.4 42.4 68.6 20.0 75.3 22.1 52.6 13.4 13.8 36.4 59.8 42.4 52.2 67.0 51.2 3.9 14.2 11.4 21.5 2.6 22.7 12.7 21.1 26.4 32.2 25.8 8.8 26.5 50.9 19.2 14.8 42.5 32.1 35.5 67.5 57.9 68.2 98.5 2.9 7.0 4.0 4.2 9.2 6.6 6.8 4.9 4.6 5.5 2.5 13.6 16.6 4.6 8.6 17.8 11.6 10.2 13.1 6.5 18.4 6.9 48.7 44.1 27.9 36.4 61.0 64.4 77.6 59.9 63.1 59.7 49.0 1.5 5.0 0.2 1.1 6.3 4.3 3.5 2.4 3.4 1.7 2.9 17.7 31.9 11.4 11.5 24.3 32.2 20.8 25.7 34.2 22.7 12.2 34.9 38.3 20.8 25.2 46.0 49.1 54.3 48.5 52.7 47.4 40.0 31.0 19.2 38.3 20.2 45.4 17.4 25.9 66.5 81.2 63.0 33.4 616.0 565.5 518.3 368.9 452.4 476.8 529.7 583.5 652.7 569.3 413.9 697.1 529.9 842.1 430.2 467.1 654.8 414.3 482.8 541.5 487.9 241.4 482.2 548.4 309.8 524.3 430.2 791.8 505.8 466.4 593.4 395.5 411.9 34.5 43.4 68.7 32.5 63.4 43.6 52.9 51.8 64.5 49.8 17.2 39.7 43.6 77.1 20.4 57.1 45.7 55.7 54.6 83.2 43.1 16.8 556.7 481.6 440.4 494.5 440.5 640.5 426.9 473.4 406.0 548.3 289.2 145.3 129.7 179.7 76.8 115.6 143.6 133.0 162.7 169.6 174.1 71.8 386.1 362.7 701.7 335.1 332.9 284.1 361.1 270.8 206.1 348.0 63.3 210.7 148.2 134.3 97.2 136.7 210.5 217.8 194.9 237.0 183.0 110.4 757.0 744.2 376.3 886.8 530.9 1,281.1 682.6 625.3 660.8 525.4 1,068.0 161.2 135.3 134.8 91.9 127.2 154.9 130.9 206.2 217.7 225.9 51.7 634.3 519.8 398.7 562.0 427.9 855.6 455.5 452.1 354.1 507.9 488.4 571.6 459.4 391.3 508.3 439.0 828.9 455.2 431.8 360.8 481.6 404.1 503.8 354.0 337.6 508.2 451.8 586.2 425.4 377.4 447.0 355.1 252.8 256.2 266.2 974.5 162.7 345.7 200.9 382.6 338.1 379.3 333.2 216.4 156.1 152.5 99.2 130.4 135.8 218.1 174.3 159.6 183.3 156.7 90.9 1,142.2 1,015.1 784.4 608.7 735.6 1,434.9 720.3 991.6 930.8 1,111.4 526.0 482.7 710.1 1,097.8 579.0 491.0 793.0 427.9 808.5 465.1 1,118.3 279.4 275.3 414.3 181.9 240.1 246.3 401.5 446.8 212.9 268.9 187.1 157.6 356.8 367.9 585.3 324.2 411.1 567.0 414.4 397.6 468.7 339.8 470.7 482.5 380.9 509.4 521.8 462.1 567.0 458.4 527.3 558.4 486.5 648.1 165.1 260.7 210.2 228.7 196.6 153.8 218.4 308.1 274.2 343.7 227.2 106.6 104.7 76.1 39.3 100.6 93.6 102.2 137.9 197.1 117.3 41.3 95.6 103.5 51.0 65.9 113.5 119.6 85.7 110.1 120.4 114.6 47.2 680.5 889.9 611.1 743.2 688.4 1,256.3 869.4 1,028.0 758.6 1,153.4 1,286.5 14.7 35.0 27.2 20.2 51.3 36.7 49.3 31.2 33.2 33.1 13.4 (continued) 94 Global Purchasing Power Parities and Real Expenditures TABLE 7 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication OECD-Eurostat, Cont. Malta 202.0 224.1 289.8 264.8 300.6 141.2 402.2 157.8 289.2 455.3 Mexico 102.4 111.5 202.4 104.5 65.6 102.7 160.7 62.1 171.3 89.6 Montenegro 49.3 56.8 146.9 80.0 65.2 76.2 42.2 30.9 35.2 107.3 Netherlands 536.5 486.0 325.3 421.5 441.4 507.7 489.2 406.8 413.7 752.2 New Zealand 367.0 375.0 364.9 636.1 325.2 418.8 434.8 307.9 423.6 414.9 Norway 902.7 720.6 562.0 866.1 651.4 625.3 658.8 747.0 724.1 745.2 Poland 110.2 116.6 171.0 260.4 107.0 140.5 93.7 80.0 83.4 148.5 Portugal 243.4 273.6 304.3 329.0 382.9 192.0 329.4 270.7 314.4 303.6 Romania 63.3 71.9 147.6 125.3 50.4 84.8 64.8 46.6 102.3 56.5 Russian Federationf 73.9 61.5 125.0 145.2 126.9 34.2 50.6 36.4 62.6 113.5 Serbia 49.3 57.6 121.8 106.2 50.6 73.9 54.2 37.3 46.0 86.5 Slovak Republic 121.7 114.5 147.1 203.8 95.5 151.8 111.9 82.6 82.5 159.0 Slovenia 242.8 230.3 236.8 392.8 259.3 224.3 248.9 205.9 301.5 313.1 Spain 360.0 356.4 359.6 357.4 395.3 303.6 347.0 305.7 353.5 365.7 Sweden 548.0 536.2 363.8 518.2 444.1 612.2 401.1 495.6 471.5 526.8 Switzerland 687.0 665.5 508.2 810.2 534.0 813.4 551.7 697.5 445.2 705.2 Turkey 69.3 74.0 139.9 112.7 96.6 105.6 97.3 22.1 83.0 131.9 United Kingdom 515.4 580.7 334.9 674.0 604.3 527.9 552.3 451.9 655.6 451.8 United States 576.4 641.0 327.6 498.2 609.4 609.4 589.6 920.6 653.2 441.7 Total 362.2 375.8 296.7 381.0 359.9 384.9 375.8 402.4 383.5 354.9 South America Argentina 66.9 63.7 117.5 92.0 61.7 54.4 64.7 53.5 55.9 104.4 Bolivia 13.9 15.1 34.4 9.3 10.6 10.9 16.8 9.0 26.0 14.5 Brazil 66.3 64.7 82.1 57.8 60.2 62.5 76.7 61.0 73.7 116.0 Chile 101.0 92.0 122.2 96.6 148.1 84.0 140.8 76.5 119.9 119.3 Colombia 40.7 40.5 80.7 63.9 40.5 34.1 44.0 33.9 41.7 50.7 Ecuador 38.2 39.3 83.5 32.5 55.5 26.7 56.1 21.9 53.3 78.2 Paraguay 17.5 20.0 53.0 19.9 35.8 13.9 21.6 8.3 21.9 21.5 Peru 40.3 40.5 97.1 30.8 54.9 20.5 43.7 22.4 32.6 44.5 Uruguay 69.5 78.0 121.6 109.7 86.1 90.4 98.7 69.9 87.5 105.5 Venezuela, R. B. 75.4 56.9 121.6 66.0 51.4 37.4 61.6 39.5 49.6 116.9 Total 60.6 57.9 90.1 60.1 59.4 51.3 68.1 49.9 62.8 96.6 Western Asia Bahrain 249.2 189.3 276.2 37.0 275.6 192.0 346.8 155.3 170.0 178.2 Egypt, Arab Rep.c 19.5 21.8 75.8 24.1 38.9 17.0 16.9 8.5 8.4 25.8 Iraq 16.8 13.7 36.1 4.3 16.2 12.8 22.0 16.4 12.2 7.1 Jordan 31.9 44.9 105.7 54.2 54.7 45.4 36.9 27.2 38.3 72.9 Kuwait 454.8 250.8 303.5 20.4 459.3 273.6 702.9 110.4 296.6 284.9 Tables of Results 95 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 324.4 222.9 474.7 198.4 217.5 246.7 220.9 181.9 177.1 188.8 159.2 43.9 128.6 119.8 70.9 116.3 80.8 55.2 91.5 112.0 92.4 11.8 20.1 32.8 11.5 26.5 59.1 46.1 127.9 41.7 48.3 39.1 32.7 558.3 470.0 314.9 770.2 434.3 823.4 653.6 470.9 402.1 498.9 559.4 583.5 368.9 401.2 255.0 358.9 460.7 305.3 403.6 432.6 402.1 307.4 1,006.2 707.1 485.8 805.3 613.3 1,324.2 757.3 772.5 733.4 699.5 1,331.6 107.9 120.9 46.8 114.0 114.8 126.7 102.6 92.9 110.4 84.5 78.2 268.9 314.0 399.9 232.5 256.4 355.4 244.5 243.6 217.2 232.8 401.3 40.9 56.5 52.5 23.1 72.4 64.9 67.8 67.6 93.5 58.5 26.0 48.7 44.1 27.9 36.4 61.0 64.4 77.6 59.9 63.1 59.7 49.0 33.8 40.2 22.7 36.9 57.3 59.1 42.7 39.5 53.3 33.0 26.9 128.8 86.3 110.3 84.6 115.2 105.1 155.1 151.1 212.4 119.6 109.2 284.8 265.3 214.5 179.9 216.1 318.3 222.9 287.0 321.0 287.5 160.7 421.6 314.0 961.6 289.8 343.9 432.9 313.7 489.2 340.3 516.9 870.2 678.5 711.9 312.9 702.0 427.5 1,212.5 491.0 437.2 538.1 344.6 601.8 741.3 687.8 775.0 734.9 672.0 515.1 403.7 673.6 880.1 568.0 529.6 22.8 55.9 49.7 31.6 79.5 42.6 63.5 63.6 97.6 53.2 0.0 809.7 446.8 889.4 699.3 533.6 796.1 495.0 409.7 397.2 379.7 626.4 719.9 708.8 597.3 718.5 681.0 420.9 638.8 512.6 441.7 522.9 710.7 406.5 368.4 392.6 392.0 372.2 394.8 361.7 342.7 334.3 339.8 389.6 53.3 49.7 73.6 38.0 68.9 33.8 58.4 66.4 75.1 68.7 22.2 2.7 22.0 18.5 3.3 15.5 13.9 11.8 8.0 10.3 7.3 4.0 36.4 70.6 39.3 61.5 67.2 52.9 100.9 49.9 68.9 39.2 42.4 48.4 107.7 45.3 60.7 98.8 53.2 74.0 96.5 106.3 105.4 9.8 18.6 44.9 38.8 19.0 41.9 34.4 53.7 37.7 41.1 39.0 18.3 30.8 45.4 19.3 12.5 42.3 22.0 27.9 38.8 41.3 42.5 8.3 16.2 14.1 13.9 9.1 22.1 7.6 13.0 15.7 22.0 14.0 2.2 24.4 50.8 53.7 29.4 44.8 15.2 31.8 35.2 26.3 41.2 33.0 45.2 55.9 57.3 40.4 85.5 33.5 55.3 42.2 57.1 37.6 14.0 31.0 77.3 76.7 25.0 59.6 42.9 49.4 70.5 87.5 66.0 35.0 34.1 62.9 45.4 44.8 60.8 42.2 74.3 50.6 62.8 46.1 31.7 78.4 268.0 64.3 80.9 195.8 160.2 189.3 204.9 181.3 254.5 6.2 7.3 21.7 11.3 12.1 24.0 8.4 16.3 15.2 20.1 14.0 4.2 1.8 16.3 1.6 2.2 13.1 18.9 53.7 7.4 12.8 3.8 8.3 9.8 67.8 21.1 18.2 47.1 33.7 35.7 45.1 50.9 40.4 51.2 133.8 417.3 98.7 108.9 251.2 267.5 520.2 308.0 162.4 454.0 0.0 (continued) 96 Global Purchasing Power Parities and Real Expenditures TABLE 7 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Western Asia, Cont. Lebanon 79.4 104.3 246.3 88.9 147.7 64.4 142.0 68.2 75.1 65.6 Oman 170.0 100.1 178.2 19.1 141.0 100.8 105.2 41.7 115.2 167.2 Qatar 716.5 227.4 254.0 22.7 318.0 232.1 306.3 157.7 334.0 467.7 Saudi Arabia 188.6 100.7 146.5 14.0 140.3 85.0 177.2 68.7 90.1 100.3 Syrian Arab Republic 21.2 22.8 78.0 2.3 45.0 32.4 15.1 14.6 7.2 3.2 Yemen, Rep. 11.4 11.4 38.4 9.2 22.6 11.2 9.6 3.4 5.7 3.5 Total 54.7 38.3 85.6 17.9 59.8 34.6 54.7 22.8 29.4 38.3 WORLD 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Tables of Results 97 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 41.2 241.4 92.5 52.2 114.1 45.6 88.0 80.7 51.1 97.3 93.1 27.9 149.6 36.8 87.8 100.2 107.3 275.4 141.9 208.9 85.4 222.4 97.0 531.6 58.3 86.7 215.6 325.3 622.6 1,115.8 1,511.3 818.5 1,384.6 44.0 240.8 63.6 28.1 90.5 177.6 260.5 144.5 178.7 125.0 132.1 4.1 20.2 6.9 0.9 24.8 11.2 15.9 23.3 34.0 20.6 0.0 1.9 9.6 4.6 7.2 12.3 6.1 10.0 10.1 10.7 10.7 3.9 13.9 65.0 19.5 15.0 38.3 41.1 70.1 45.4 54.1 41.8 34.1 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Burundi: Submitted prices, but did not provide official national accounts data. c. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. d. Zimbabwe: Data were suppressed because of extreme volatility in the official exchange rate. e. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. f. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 98 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 8 Index of real expenditures per capita, world = 100 Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 39.4 11.7 20.1 22.8 9.4 14.2 13.4 6.6 4.1 1.8 Benin 15.5 17.5 32.7 14.2 31.3 24.8 11.3 7.0 9.1 3.8 Botswana 134.4 51.3 55.9 165.1 61.8 46.0 61.9 28.0 49.9 48.7 Burkina Faso 12.7 13.9 27.3 39.9 11.6 14.7 21.9 4.7 5.1 2.1 Burundid … … … … … … … … … … Cameroon 22.2 25.0 50.0 20.9 41.4 21.1 50.6 6.2 12.7 4.3 Cape Verde 31.6 42.6 74.9 27.8 23.1 60.8 39.1 21.4 23.7 42.1 Central African Republic 7.5 10.4 25.9 34.5 16.3 11.7 12.1 2.0 2.0 1.6 Chad 19.5 15.3 29.6 5.6 4.5 8.7 15.9 6.2 16.5 1.6 Comoros 11.9 14.9 47.9 4.3 15.3 17.0 0.8 3.3 0.8 4.0 Congo, Dem. Rep. 2.9 2.4 6.6 1.7 2.9 2.7 1.5 1.3 0.5 0.3 Congo, Rep. 40.4 16.8 26.6 21.8 6.2 22.0 11.3 12.4 8.2 13.0 Côte d’Ivoire 17.6 19.4 38.8 21.2 13.6 20.4 35.0 7.4 13.0 8.9 Djibouti 21.9 20.0 29.4 131.0 8.6 28.5 19.3 9.5 9.5 2.2 Egypt, Arab Rep.e 56.3 62.5 131.0 43.0 87.7 49.7 47.8 58.5 29.1 26.2 Equatorial Guinea 133.7 47.8 82.1 61.2 32.0 57.9 34.7 51.7 28.8 27.8 Ethiopia 6.6 7.8 21.3 1.5 6.4 10.3 11.2 2.5 1.2 0.5 Gabon 142.0 54.8 80.5 43.8 43.3 65.5 27.4 46.4 24.1 40.0 Gambia, The 8.1 10.0 12.3 2.6 18.3 7.9 7.4 11.3 1.3 4.5 Ghana 13.7 15.8 29.4 10.4 30.2 19.2 20.9 12.5 6.1 0.9 Guinea 10.5 10.9 17.5 15.0 16.3 10.1 18.9 11.7 4.7 0.5 Guinea-Bissau 6.3 7.1 17.0 4.5 8.6 10.5 9.1 2.6 2.7 0.3 Kenya 15.1 19.8 32.8 18.3 13.6 19.1 21.5 22.1 13.3 7.4 Lesotho 15.8 29.3 48.2 34.2 62.7 24.6 35.3 40.0 10.4 8.1 Liberia 4.3 4.3 4.8 6.2 10.2 4.3 5.0 3.3 0.5 2.4 Madagascar 11.0 12.6 30.4 8.3 10.2 16.3 11.2 6.1 2.1 1.2 Malawi 7.7 8.4 8.3 4.7 4.5 14.2 3.6 12.5 5.9 2.1 Mali 11.5 12.5 26.1 10.0 12.7 13.3 16.1 6.4 8.1 2.0 Mauritania 18.8 19.7 51.5 6.3 24.5 16.6 16.3 10.9 6.7 3.4 Mauritius 113.2 125.0 170.3 223.3 123.7 210.6 171.5 75.1 80.9 147.5 Morocco 39.5 36.9 72.5 22.5 34.1 52.4 43.9 16.1 27.6 54.2 Mozambique 8.3 10.0 28.1 8.8 9.2 10.0 4.8 4.7 2.0 0.2 Namibia 50.7 44.9 70.2 63.2 48.9 42.4 55.9 49.2 39.1 8.9 Niger 6.8 7.8 15.9 5.9 13.6 7.9 7.4 3.9 3.6 1.0 Nigeria 21.1 20.8 42.8 7.2 26.6 27.7 40.1 8.9 8.4 1.3 Rwanda 9.1 10.2 22.9 41.9 4.7 9.3 7.9 5.2 2.8 0.9 São Tomé and Principe 16.3 24.3 58.4 35.4 12.6 21.7 16.0 15.3 16.5 5.6 Tables of Results 99 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 2.1 13.2 4.1 15.6 11.4 14.7 72.5 46.8 … … … 3.6 19.9 17.9 7.8 17.4 14.2 25.7 11.0 5.8 17.7 1.9 10.8 162.2 1.3 26.6 48.9 79.0 371.3 114.0 150.0 103.3 27.6 2.1 15.4 10.3 5.5 13.8 10.6 44.3 7.9 … … … … … … … … … … … … … … 3.1 24.8 19.8 5.2 25.0 15.3 26.8 11.3 12.5 12.7 1.3 14.0 85.3 17.1 19.9 42.3 32.3 43.9 52.9 … … … 1.8 10.6 3.2 3.2 10.6 4.2 8.8 2.0 1.0 2.6 3.5 5.8 58.8 0.9 4.6 13.3 48.8 67.5 10.5 8.7 9.6 25.3 0.7 17.8 0.1 0.0 15.3 1.1 39.5 5.2 … … 2.9 0.2 2.1 0.5 0.7 2.5 0.5 7.5 2.7 … … … 3.1 54.6 19.4 5.6 15.0 45.9 58.7 14.6 6.7 24.5 1.5 5.4 12.0 4.2 7.8 19.6 8.8 26.8 3.3 4.5 2.6 1.7 0.8 41.3 7.6 7.6 18.8 34.7 80.4 13.7 … … … 15.3 134.6 17.8 37.6 59.9 82.7 90.8 31.6 22.4 42.2 10.4 6.3 76.9 25.5 27.2 47.9 26.6 84.7 107.6 159.9 52.1 177.2 0.3 … 2.8 2.9 7.9 3.2 12.4 3.9 1.9 6.4 0.9 11.1 163.9 19.2 31.5 49.5 137.8 209.2 119.3 … … … 5.4 … 0.6 3.7 9.1 23.7 44.6 3.6 4.2 3.2 3.9 4.3 26.8 0.1 7.2 16.0 5.9 12.3 14.3 23.5 8.2 6.4 1.6 24.6 3.7 4.3 10.8 7.9 9.0 8.7 … … … 2.2 6.2 0.5 0.3 7.2 2.6 31.5 3.7 … … … 9.6 37.3 17.7 9.6 19.4 19.4 17.6 7.8 9.1 8.4 0.4 3.1 82.3 0.7 10.5 28.4 36.3 22.9 15.5 … 26.2 0.0 0.7 24.3 0.4 3.1 4.3 2.8 6.3 3.4 7.2 … 0.0 0.8 44.1 2.5 1.3 12.4 12.3 26.8 6.9 6.2 8.7 2.3 6.8 18.1 2.3 8.5 8.7 0.8 13.1 6.9 4.1 10.9 0.1 3.4 18.3 3.5 3.2 12.4 10.8 28.2 5.2 9.1 2.9 0.0 2.1 24.3 2.0 5.6 19.2 21.8 57.0 35.9 … … … 59.8 186.8 61.0 45.6 118.5 204.1 174.1 81.2 82.2 98.8 0.0 14.1 39.1 29.4 17.2 36.5 30.5 53.1 45.3 59.1 … 32.8 1.7 13.1 0.5 1.8 9.8 9.5 11.2 5.9 5.8 7.2 0.0 13.1 108.7 22.3 40.4 41.5 94.2 120.1 51.6 … … … 3.4 5.6 5.3 2.9 7.9 3.4 16.9 4.5 3.3 6.2 1.3 2.8 31.8 1.9 9.3 20.6 17.0 22.0 8.7 18.4 2.1 0.1 0.9 22.3 2.5 2.2 9.9 12.1 25.1 6.1 … … … 2.8 32.3 4.0 4.3 24.3 15.1 42.2 10.9 11.9 … 8.6 (continued) 100 Global Purchasing Power Parities and Real Expenditures TABLE 8 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa, cont. Senegal 18.7 22.1 47.9 25.5 22.5 23.0 31.4 13.2 5.8 35.6 Sierra Leone 8.8 12.0 19.0 12.0 19.0 14.1 5.9 25.8 2.0 3.8 South Africa 94.5 96.6 112.4 175.8 95.3 86.1 110.5 89.8 118.1 59.0 Sudan 25.1 30.8 75.0 7.2 35.1 34.0 43.1 6.0 18.3 0.6 Swaziland 48.9 52.0 110.2 12.8 40.0 40.8 65.5 89.7 24.3 13.8 Tanzania 11.3 13.4 41.9 12.8 17.2 8.3 11.3 3.7 3.2 0.2 Togo 9.9 15.1 30.7 25.4 12.8 17.1 8.1 4.2 15.0 3.8 Tunisia 72.0 71.7 102.6 75.6 71.5 93.1 121.5 43.8 44.7 22.5 Uganda 11.0 13.4 25.0 21.9 7.1 22.1 14.7 9.0 4.3 3.0 Zambia 13.1 14.7 8.8 0.7 15.6 38.6 18.0 19.8 10.6 0.5 Zimbabwe 6.0 7.1 15.0 8.4 16.7 7.7 7.9 0.9 1.9 1.0 Total 24.8 25.4 47.3 25.1 28.8 26.8 30.8 17.7 16.3 10.3 Asia-Pacific Bangladesh 14.1 16.6 47.8 14.9 18.6 15.5 11.7 10.6 3.9 2.4 Bhutan 41.2 31.7 61.5 24.0 39.6 33.1 26.9 76.8 4.0 3.4 Brunei Darussalam 529.1 210.0 221.2 33.4 176.2 116.6 165.4 141.1 366.8 364.7 Cambodia 16.2 19.8 48.1 26.1 6.9 10.9 6.5 36.7 10.1 1.1 Chinaf 45.6 28.7 39.0 14.4 24.5 24.5 18.3 46.4 8.9 56.4 Hong Kong, China 397.7 321.9 186.2 58.8 889.4 227.3 338.0 306.9 184.5 377.9 Macao, China 415.3 172.5 141.5 58.8 211.1 115.8 65.9 182.8 145.6 339.9 Taiwan, China 290.6 277.1 207.7 215.5 247.4 189.2 245.8 407.3 259.3 453.8 Fiji 46.9 60.8 108.4 56.6 43.0 48.2 124.9 57.4 40.0 14.3 India 23.7 23.9 46.3 8.9 27.1 18.0 9.7 40.8 20.3 12.0 Indonesia 36.1 38.5 90.0 15.9 34.6 38.7 20.4 12.2 20.2 15.8 Iran, Islamic Rep. 119.2 109.6 96.8 28.3 133.0 150.2 87.2 180.1 103.4 491.9 Lao PDR 20.2 18.2 39.5 25.1 5.7 20.5 8.2 14.0 9.5 1.7 Malaysia 127.8 91.3 93.7 25.2 44.2 67.3 81.2 64.6 117.2 170.1 Maldives 44.8 36.1 52.5 29.2 29.6 24.0 26.3 79.2 9.9 56.3 Mongolia 29.5 26.6 52.0 17.9 52.2 19.4 15.2 35.6 12.2 15.4 Nepal 12.0 14.9 43.6 10.3 20.1 10.4 6.2 27.4 2.8 1.3 Pakistan 26.7 33.6 78.2 7.3 51.7 38.1 13.8 43.7 11.9 26.4 Philippines 32.7 36.1 89.2 37.4 15.7 26.7 13.6 14.7 16.1 37.3 Singapore 462.4 255.3 136.7 70.4 195.3 161.4 283.0 257.2 361.7 359.0 Sri Lanka 38.8 44.9 83.5 31.0 106.8 31.1 44.3 28.8 51.3 11.5 Thailand 76.6 73.7 64.1 78.8 100.1 40.8 69.9 88.2 88.0 29.3 Vietnam 23.9 21.5 35.0 14.7 14.4 16.6 15.3 39.3 9.3 5.9 Total 40.0 33.1 52.2 16.3 34.3 28.2 20.4 46.4 20.6 45.8 Tables of Results 101 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 5.5 20.7 2.7 7.4 21.8 19.1 26.8 15.2 7.7 23.9 6.0 3.5 27.7 1.6 5.0 11.6 14.2 27.4 3.6 4.6 3.5 0.6 44.5 129.1 29.4 80.0 93.1 127.9 156.3 64.7 110.5 39.5 0.0 10.7 8.4 0.5 10.8 31.6 2.4 24.0 14.3 20.4 12.1 0.1 13.7 66.0 4.4 14.5 51.8 37.2 74.4 36.3 … … … 1.2 … 0.0 1.9 13.7 2.9 13.5 7.7 7.0 9.6 1.9 2.7 21.2 4.8 3.9 15.0 9.9 20.1 4.8 … 5.8 2.5 14.6 58.2 188.1 33.3 70.3 71.1 88.0 61.2 48.9 82.1 19.5 2.7 … 5.3 2.1 12.9 17.4 19.4 6.7 3.6 10.9 0.0 16.1 … 0.0 7.2 13.7 29.2 27.2 11.3 14.7 10.8 0.0 1.6 19.0 0.3 0.7 6.6 15.0 19.0 2.7 … … 0.0 7.4 38.5 9.7 13.6 24.8 26.1 38.3 16.4 20.1 15.7 4.7 1.4 28.0 4.3 5.0 17.4 5.2 7.8 15.2 5.5 29.3 2.0 11.9 47.0 0.3 24.9 26.0 116.9 85.8 91.7 28.6 192.7 17.5 211.6 646.2 158.0 104.1 190.5 478.3 1,451.6 259.7 167.6 341.2 187.1 6.4 63.1 11.6 6.5 19.0 31.0 20.1 7.9 5.5 11.1 0.9 21.1 61.2 17.8 31.5 26.6 63.6 81.1 84.3 37.6 139.9 50.4 709.1 307.3 488.1 374.1 331.5 214.9 303.0 443.7 590.3 309.3 216.4 406.0 229.1 320.2 99.8 167.8 248.3 269.1 453.6 293.5 635.0 78.3 395.3 498.6 377.9 258.2 278.1 269.0 420.6 283.5 336.7 203.8 249.5 42.4 104.9 20.9 26.5 59.8 73.0 70.8 58.5 65.5 39.7 86.1 5.3 40.9 5.2 18.6 23.9 23.9 22.8 26.7 22.5 31.4 6.6 9.2 69.7 39.6 18.6 39.6 23.7 24.7 33.0 9.5 64.5 9.8 41.9 132.8 16.6 65.2 107.8 131.6 147.4 88.2 91.0 78.5 27.5 6.5 60.5 6.5 3.9 17.5 27.9 66.9 25.4 11.8 33.2 53.4 57.3 178.4 100.9 106.1 85.8 171.4 158.7 129.9 138.5 111.5 35.9 19.5 221.4 5.6 13.4 30.6 123.3 148.2 105.2 95.9 69.1 288.7 9.9 119.8 1.4 5.2 23.6 78.6 39.6 38.1 25.2 36.0 84.0 2.0 20.6 4.2 5.3 15.3 8.0 10.3 10.2 2.1 16.8 23.1 11.0 52.2 2.4 11.2 34.2 24.1 26.5 17.7 12.0 22.7 13.9 4.9 84.6 18.0 30.8 37.2 21.9 30.1 20.2 14.7 24.0 17.4 546.4 332.1 341.8 267.9 256.7 243.3 544.9 551.6 620.9 473.6 127.8 18.2 41.3 9.0 23.2 43.2 69.3 49.2 35.0 23.4 49.5 8.9 53.8 148.4 166.6 32.1 71.9 98.1 71.5 98.9 112.7 77.7 5.4 13.2 106.1 19.9 5.4 20.1 43.0 36.1 33.8 13.9 59.3 29.2 19.0 62.6 21.0 27.1 32.3 46.5 54.6 55.4 33.9 80.7 28.0 (continued) 102 Global Purchasing Power Parities and Real Expenditures TABLE 8 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS Armenia 43.5 60.4 190.4 64.7 19.8 75.9 12.2 40.4 13.0 16.2 Azerbaijan 51.8 44.4 134.8 26.6 25.2 48.3 28.3 33.0 19.4 15.4 Belarus 95.2 110.5 209.1 168.6 77.5 172.9 46.9 122.8 35.8 234.2 Georgia 39.1 51.5 85.1 85.6 15.2 79.2 19.0 72.5 42.8 48.2 Kazakhstan 97.0 89.0 108.2 133.5 94.4 173.6 36.4 146.0 61.1 38.3 Kyrgyz Republic 19.3 31.2 59.3 84.7 21.7 51.7 9.3 23.9 17.1 15.5 Moldova 26.3 47.6 59.4 165.8 20.2 94.6 37.3 33.1 26.1 53.6 Russian Federationg 132.2 129.9 191.0 318.3 129.3 136.6 71.4 117.9 94.7 133.7 Tajikistan 15.8 24.5 51.0 4.1 9.2 56.6 6.1 19.1 10.0 8.3 Ukraine 62.2 76.4 140.3 151.7 36.6 116.3 29.8 77.9 49.3 63.5 Total 102.6 105.1 164.6 236.1 93.3 127.1 53.6 101.6 72.2 104.3 OECD-Eurostat Albania 59.9 70.6 96.1 126.8 41.5 97.4 63.7 72.7 53.2 69.0 Australia 365.6 358.2 236.4 360.5 310.2 397.7 415.4 290.4 373.1 317.8 Austria 380.2 384.6 266.8 436.5 492.4 446.1 569.3 295.7 357.5 397.5 Belgium 357.6 355.3 288.2 434.7 336.5 347.7 347.1 334.5 368.5 255.1 Bosnia and Herzegovina 72.5 105.6 174.2 254.7 64.7 149.3 122.7 82.9 46.7 104.5 Bulgaria 104.3 119.8 136.4 145.2 48.2 181.0 68.0 110.7 116.7 120.1 Canada 391.0 386.1 215.6 330.1 313.7 506.2 395.5 276.3 464.7 309.6 Croatia 147.5 148.9 209.3 219.6 120.8 260.6 232.4 152.5 107.9 187.3 Cyprus 272.8 292.9 325.4 639.9 391.1 356.8 349.4 145.7 357.0 509.0 Czech Republic 226.1 215.7 194.4 500.6 113.8 313.8 153.5 232.9 139.2 141.7 Denmark 374.8 352.4 232.8 469.9 337.6 400.3 387.4 277.3 284.8 407.1 Estonia 185.6 185.0 191.8 499.8 163.5 204.0 167.3 146.1 149.4 152.8 Finland 339.6 320.0 246.0 442.8 272.0 354.1 325.6 273.4 272.1 454.8 France 330.4 366.1 322.6 345.9 374.2 402.8 387.0 332.4 393.6 334.7 Germany 339.9 356.7 261.8 447.2 359.3 396.1 488.3 348.5 356.2 341.3 Greece 284.5 304.8 319.5 561.7 598.6 293.8 374.3 216.5 237.5 242.2 Hungary 189.7 202.9 182.7 489.7 85.9 259.4 207.4 205.7 157.0 205.2 Iceland 397.2 441.1 266.6 367.2 301.4 408.1 480.2 372.2 557.9 451.7 Ireland 424.2 345.3 127.8 391.8 406.6 316.0 469.3 253.9 327.3 434.8 Israel 265.8 264.1 260.5 199.9 177.4 334.4 335.5 200.2 191.3 416.0 Italy 309.3 322.7 298.8 300.1 515.0 354.0 467.2 246.3 343.5 340.6 Japan 337.6 335.3 198.3 451.5 193.9 387.5 300.6 393.2 316.3 387.5 Korea, Rep. 237.9 200.1 128.9 161.4 141.1 174.1 182.4 189.9 185.7 573.1 Latvia 147.3 159.9 187.9 384.4 114.9 210.9 86.1 126.6 103.2 121.1 Lithuania 157.0 187.1 277.7 378.4 155.3 194.9 155.4 164.3 156.0 147.1 Luxembourg 780.4 552.6 267.1 1,965.3 321.4 419.6 627.6 360.6 705.6 278.8 Macedonia, FYR 82.4 100.4 173.6 134.5 73.0 174.6 57.4 85.1 49.2 146.1 Tables of Results 103 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 9.8 122.0 4.4 17.4 54.4 57.9 39.1 37.5 10.1 64.7 3.3 11.9 120.1 10.9 6.9 37.0 90.2 33.4 58.0 70.4 31.4 106.3 47.7 256.0 34.7 33.0 90.2 247.4 81.6 72.0 73.4 75.8 5.5 29.4 88.4 40.7 5.9 45.8 62.9 36.9 35.5 34.3 37.4 12.2 55.0 291.0 37.7 34.4 76.1 137.1 79.8 86.9 63.4 90.8 131.0 7.8 88.4 10.7 14.9 25.4 66.1 24.7 7.3 4.9 9.5 3.8 31.9 152.5 9.4 23.2 40.6 76.4 25.2 17.5 6.7 26.7 9.5 90.0 181.2 45.9 68.7 112.7 212.5 131.3 73.4 71.4 71.1 62.0 6.1 116.7 0.4 4.7 18.4 81.1 19.7 3.4 3.9 2.5 4.3 42.5 218.7 23.3 28.5 63.7 156.4 50.5 39.0 38.3 39.2 19.2 67.5 189.5 36.3 50.1 90.2 181.1 97.7 61.8 59.0 60.5 52.1 48.8 72.1 58.5 42.3 66.2 72.1 63.3 73.6 84.2 67.1 36.3 529.2 358.3 450.4 317.8 353.9 310.5 323.5 431.8 591.8 321.2 380.7 579.7 270.0 682.7 337.6 369.0 384.2 238.7 333.2 521.3 235.3 213.6 405.0 290.2 232.7 427.5 326.7 457.8 239.1 347.1 559.1 218.4 365.7 56.4 115.1 101.3 64.1 100.5 101.7 92.6 62.8 64.2 65.2 17.0 78.0 192.1 188.2 48.3 106.6 181.2 154.4 75.8 91.0 71.4 18.4 528.7 288.5 365.1 451.3 370.5 392.0 265.5 387.2 428.0 338.7 263.4 170.9 182.9 176.5 104.6 134.9 206.5 167.0 168.4 174.4 165.4 68.1 347.4 254.4 543.3 322.7 298.7 209.0 256.0 247.6 186.0 282.7 55.2 329.8 225.5 219.8 160.7 188.5 347.1 285.3 200.9 236.7 180.5 100.9 477.8 304.2 198.2 518.8 306.2 561.2 291.3 370.4 582.0 206.2 730.9 225.0 273.5 173.6 147.3 158.5 293.0 197.5 196.6 222.7 187.4 44.3 445.6 260.0 253.4 375.4 279.6 457.2 243.7 318.1 323.6 265.4 421.7 458.9 261.5 281.7 402.8 329.2 505.8 215.7 291.9 329.8 240.0 307.5 405.6 150.9 285.4 414.6 351.0 328.9 228.9 264.5 412.7 179.4 224.6 238.4 228.6 862.4 169.2 315.1 183.4 326.8 294.8 335.8 255.3 224.8 211.4 230.2 128.3 198.7 172.3 335.2 209.6 149.4 184.1 126.3 87.6 594.3 434.0 334.6 327.8 389.0 624.1 320.4 652.1 780.5 548.6 448.7 361.5 334.8 686.3 394.0 316.9 406.1 215.4 473.5 413.6 465.3 209.7 268.8 375.0 145.5 255.9 237.5 367.9 373.8 212.0 248.2 178.1 177.5 290.6 196.0 463.9 276.3 318.5 315.6 213.2 320.6 446.8 224.1 356.3 434.2 185.8 361.1 389.1 311.7 395.9 257.5 354.7 418.1 270.5 567.4 179.8 224.0 188.9 277.1 200.3 149.0 202.1 340.9 272.0 366.7 241.4 170.8 259.1 104.0 76.3 141.9 225.2 197.7 141.9 208.5 110.5 40.4 155.3 260.5 73.0 117.4 166.0 283.5 152.8 108.2 130.6 96.3 42.9 515.2 294.6 490.2 569.7 539.9 543.0 377.0 753.1 746.8 636.1 984.8 24.2 104.2 51.4 47.8 93.9 116.0 125.6 48.2 35.9 60.6 14.4 (continued) 104 Global Purchasing Power Parities and Real Expenditures TABLE 8 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication OECD-Eurostat, cont. Malta 227.5 257.3 277.9 220.5 240.9 271.4 347.5 207.9 233.1 373.3 Mexico 126.1 145.4 242.1 159.7 85.1 99.9 230.4 76.4 233.0 68.4 Montenegro 87.3 91.9 159.6 158.8 50.9 153.2 53.4 80.4 35.3 177.5 Netherlands 387.1 370.6 290.5 346.9 365.0 340.3 444.9 311.0 256.0 587.6 New Zealand 273.7 293.5 247.7 366.4 248.6 314.0 329.2 229.9 352.6 291.6 Norway 530.0 403.7 277.3 317.8 365.3 457.9 451.1 380.6 331.2 525.5 Poland 151.3 168.5 209.4 348.9 82.0 277.2 115.0 157.1 78.7 119.3 Portugal 223.0 250.8 272.3 335.1 343.5 206.8 315.9 234.8 240.2 229.4 Romania 104.5 120.0 171.5 197.5 53.1 162.1 96.4 121.6 115.5 53.2 Russian Federationg 132.2 129.9 191.0 318.3 129.3 136.6 71.4 117.9 94.7 133.7 Serbia 96.0 110.1 149.3 222.3 50.3 200.6 67.0 102.2 51.1 221.9 Slovak Republic 177.0 181.7 180.5 291.9 97.8 319.1 139.0 168.2 82.7 123.6 Slovenia 256.4 245.5 214.3 460.8 208.2 287.8 260.3 222.0 273.4 336.6 Spain 304.0 315.5 311.5 407.7 340.3 254.0 297.6 277.2 282.0 280.8 Sweden 356.6 357.9 239.8 328.6 310.6 437.7 298.0 307.0 280.8 535.2 Switzerland 395.9 378.1 273.1 676.3 374.3 387.1 398.7 359.9 288.0 436.5 Turkey 86.8 93.8 130.7 109.2 97.7 203.7 122.1 29.2 63.8 100.7 United Kingdom 352.0 412.8 233.3 316.2 479.8 429.6 435.8 309.8 403.4 385.2 United States 464.5 524.9 293.5 416.9 589.3 475.2 571.4 493.8 740.9 346.5 Total 294.3 313.7 239.4 342.3 313.8 325.5 339.1 283.0 353.4 284.4 South America Argentina 123.3 125.2 179.4 234.6 96.4 120.1 101.0 141.8 97.2 229.1 Bolivia 40.3 47.5 69.0 23.6 19.6 43.2 42.7 42.7 67.8 26.4 Brazil 95.8 93.8 106.2 141.0 63.4 80.1 98.3 112.0 81.3 140.6 Chile 136.7 122.0 135.1 160.3 158.6 130.9 152.4 111.9 137.9 93.7 Colombia 70.3 72.3 96.5 119.3 54.3 84.3 70.6 83.0 55.8 71.3 Ecuador 72.8 74.2 113.6 66.1 82.0 50.3 100.5 65.6 92.9 117.7 Paraguay 43.5 55.0 112.0 57.0 58.6 57.7 48.4 29.4 39.3 54.3 Peru 72.1 75.0 125.9 51.8 87.9 51.6 68.5 47.3 55.0 60.0 Uruguay 103.3 116.1 157.5 188.5 104.6 127.5 134.0 127.3 105.0 141.4 Venezuela, R. B. 110.1 88.0 124.1 147.7 45.8 86.3 70.1 73.2 79.8 165.0 Total 93.8 91.7 116.6 136.3 70.4 83.3 91.7 99.5 80.1 130.4 West Asia Bahrain 303.6 205.3 325.6 55.0 355.9 91.6 531.8 196.0 305.6 161.7 Egypt, Arab Rep.e 56.3 62.5 131.0 43.0 87.7 49.7 47.8 58.5 29.1 26.2 Iraq 35.7 30.6 58.1 7.3 35.2 17.8 68.1 74.2 34.4 8.5 Tables of Results 105 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 357.5 227.8 561.1 251.2 239.6 287.2 243.6 184.7 167.7 177.9 176.0 56.7 209.4 162.4 107.2 145.0 118.8 78.0 86.3 106.1 78.3 12.0 30.7 90.8 15.0 55.2 83.3 127.3 302.1 51.0 47.6 51.4 36.3 476.5 264.4 248.9 632.1 334.8 513.8 341.6 304.4 384.1 215.5 495.6 499.2 231.0 402.4 222.1 278.9 314.7 209.8 260.1 374.0 190.9 205.1 594.3 297.8 253.9 440.9 352.7 583.7 330.8 458.4 593.9 294.4 953.1 146.1 208.7 56.8 178.6 150.8 237.9 148.1 103.6 111.0 94.7 81.3 250.2 176.7 415.3 229.9 242.1 245.9 191.0 231.1 191.5 211.3 364.6 71.6 142.0 90.2 45.5 107.3 165.6 146.1 79.9 93.8 74.6 27.2 90.0 181.2 45.9 68.7 112.7 212.5 131.3 73.4 71.4 71.1 62.0 62.9 116.6 34.6 83.5 96.0 172.5 103.4 60.7 68.2 56.5 32.8 206.1 201.4 176.4 149.0 166.2 226.2 252.2 152.2 202.8 119.7 103.5 294.9 218.0 257.8 200.9 229.6 291.5 206.1 300.3 326.6 285.4 138.0 378.9 226.6 837.4 292.3 301.2 340.1 223.0 374.1 327.5 307.0 715.0 484.3 350.8 204.8 478.6 292.0 652.6 270.8 254.8 509.8 117.6 458.6 509.2 251.6 501.4 449.4 392.4 204.2 173.8 402.2 809.0 206.8 436.6 27.5 96.0 53.6 46.4 93.7 67.2 104.1 63.5 89.3 52.6 0.0 649.5 205.6 603.5 526.9 389.8 435.8 279.8 263.1 379.2 163.6 477.5 713.8 286.0 686.5 648.3 595.7 200.2 389.6 426.6 493.0 313.9 703.7 377.6 221.0 364.3 345.9 317.5 269.8 237.8 269.5 323.4 208.4 352.8 76.0 83.8 99.7 78.6 129.4 81.0 112.8 96.7 74.8 109.3 30.9 5.3 115.6 45.2 9.1 42.5 115.2 53.4 15.5 9.7 20.2 7.4 42.5 90.8 66.3 99.2 91.0 123.4 163.8 65.9 63.8 54.5 53.5 62.3 114.0 55.5 86.8 124.9 89.3 98.1 126.5 105.7 141.1 12.2 25.2 76.6 81.6 33.4 71.3 80.7 106.0 55.1 34.4 70.7 25.6 40.2 81.1 31.1 24.9 73.9 75.7 67.2 70.0 44.4 92.6 14.2 28.2 53.1 30.7 23.0 56.1 38.2 34.7 25.6 20.4 29.1 3.5 37.4 84.2 85.9 61.8 78.0 40.2 52.9 57.1 24.8 81.3 51.3 59.8 75.3 70.4 63.8 119.6 73.9 91.9 59.2 57.6 54.8 18.7 35.6 107.9 106.1 41.5 87.1 94.8 97.0 68.6 64.8 64.0 32.6 42.9 89.7 73.0 75.5 90.8 100.6 126.8 68.2 57.8 68.7 40.7 96.1 270.1 57.8 125.1 201.7 227.4 234.6 360.2 228.5 481.0 13.3 15.3 134.6 17.8 37.6 59.9 82.7 90.8 31.6 22.4 42.2 10.4 2.9 57.1 2.0 6.0 26.4 82.8 162.0 14.4 18.7 7.1 20.8 (continued) 106 Global Purchasing Power Parities and Real Expenditures TABLE 8 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication West Asia, cont. Jordan 47.9 62.3 130.6 79.8 84.4 33.3 52.3 60.5 78.8 97.3 Kuwait 501.0 231.6 351.5 31.0 355.4 137.7 902.1 119.0 514.3 230.9 Lebanon 113.8 133.9 289.3 115.4 108.6 84.4 176.4 125.5 139.0 48.5 Oman 226.7 121.3 222.7 27.7 197.1 61.8 170.8 61.1 217.6 149.2 Qatar 765.7 207.2 298.6 35.0 355.5 63.4 460.2 207.2 702.6 405.1 Saudi Arabia 236.5 114.4 163.0 22.2 195.6 65.5 294.1 103.9 153.9 58.1 Syrian Arab Republic 45.2 48.3 129.4 4.7 75.9 46.3 31.1 57.3 15.8 4.3 Yemen, Rep. 25.4 24.0 57.5 24.3 48.1 19.1 17.7 16.7 12.9 2.7 Total 86.0 64.3 124.3 30.7 95.8 44.7 98.8 65.7 60.8 32.2 WORLD 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Tables of Results 107 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 13.2 125.0 16.2 27.5 59.2 93.0 85.2 81.7 68.7 77.6 87.8 124.6 264.3 69.9 117.0 230.1 254.1 537.7 510.7 189.8 812.5 0.0 48.4 366.0 45.9 75.9 135.9 94.1 180.4 160.1 67.9 199.3 300.2 38.8 151.9 35.4 149.1 118.0 150.8 431.4 255.6 276.2 155.3 407.2 117.1 386.7 54.4 132.6 188.6 391.9 730.7 1,560.9 1,837.4 1,309.9 563.3 42.1 202.3 49.1 42.0 102.3 229.5 332.4 248.1 238.0 218.3 221.7 9.2 94.4 9.9 2.6 45.9 69.9 54.6 49.5 40.9 57.3 0.0 3.0 49.6 5.3 15.4 22.7 35.8 39.5 26.2 14.1 39.1 6.3 18.1 125.6 19.0 30.9 60.4 101.2 140.7 81.3 68.9 85.6 55.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Refer to appendix F regarding comparability between regions. c. GFCF was estimated where one or more of its components were suppressed. For more details, refer to appendix F. d. Burundi: Submitted prices, but did not provide official national accounts data. e. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. f. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. g. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 108 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 9 Nominal expenditures - country shares, world = 100 Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 0.07 0.03 0.09 0.05 0.03 0.01 0.03 0.01 0.01 0.01 Benin 0.01 0.01 0.04 0.01 0.02 0.01 0.01 0.00 0.01 0.01 Botswana 0.02 0.01 0.02 0.04 0.01 0.01 0.02 0.01 0.01 0.01 Burkina Faso 0.01 0.01 0.05 0.05 0.01 0.01 0.02 0.00 0.01 0.01 Burundib … … … … … … … … … … Cameroon 0.04 0.04 0.14 0.04 0.09 0.02 0.09 0.01 0.03 0.02 Cape Verde 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Central African Republic 0.00 0.00 0.02 0.02 0.01 0.00 0.00 0.00 0.00 0.00 Chad 0.01 0.01 0.05 0.01 0.00 0.00 0.02 0.00 0.02 0.00 Comoros 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Congo, Dem. Rep. 0.02 0.02 0.08 0.01 0.02 0.01 0.01 0.01 0.01 0.01 Congo, Rep. 0.01 0.01 0.02 0.01 0.00 0.00 0.00 0.00 0.00 0.01 Côte d’Ivoire 0.04 0.04 0.14 0.05 0.03 0.02 0.07 0.01 0.04 0.05 Djibouti 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 Egypt, Arab Rep.c 0.22 0.25 0.87 0.28 0.44 0.19 0.19 0.10 0.10 0.29 Equatorial Guinea 0.01 0.01 0.02 0.01 0.01 0.01 0.01 0.00 0.01 0.01 Ethiopia 0.02 0.03 0.13 0.01 0.04 0.03 0.04 0.01 0.01 0.00 Gabon 0.02 0.01 0.03 0.01 0.01 0.01 0.01 0.01 0.01 0.02 Gambia, The 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Ghana 0.02 0.03 0.11 0.02 0.06 0.01 0.04 0.01 0.02 0.00 Guinea 0.01 0.01 0.02 0.01 0.01 0.00 0.01 0.01 0.00 0.00 Guinea-Bissau 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Kenya 0.04 0.05 0.15 0.07 0.04 0.02 0.05 0.03 0.06 0.07 Lesotho 0.00 0.01 0.01 0.01 0.01 0.00 0.01 0.00 0.00 0.00 Liberia 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Madagascar 0.01 0.01 0.06 0.02 0.01 0.01 0.01 0.00 0.00 0.00 Malawi 0.01 0.01 0.02 0.00 0.00 0.01 0.00 0.01 0.01 0.01 Mali 0.01 0.01 0.05 0.01 0.01 0.01 0.02 0.00 0.01 0.01 Mauritania 0.00 0.00 0.02 0.00 0.01 0.00 0.00 0.00 0.00 0.00 Mauritius 0.01 0.02 0.03 0.04 0.02 0.02 0.02 0.01 0.02 0.02 Morocco 0.13 0.12 0.35 0.16 0.16 0.11 0.12 0.06 0.12 0.31 Mozambique 0.02 0.02 0.08 0.02 0.02 0.01 0.01 0.01 0.01 0.00 Namibia 0.01 0.01 0.03 0.01 0.02 0.01 0.01 0.01 0.01 0.00 Niger 0.01 0.01 0.03 0.01 0.01 0.00 0.01 0.00 0.01 0.00 Nigeria 0.26 0.27 1.23 0.11 0.35 0.18 0.39 0.06 0.12 0.04 Rwanda 0.01 0.01 0.02 0.03 0.00 0.01 0.01 0.00 0.00 0.00 São Tomé and Principe 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Senegal 0.02 0.02 0.09 0.03 0.03 0.01 0.03 0.01 0.01 0.06 Sierra Leone 0.00 0.00 0.02 0.01 0.01 0.00 0.00 0.01 0.00 0.01 Tables of Results 109 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.01 0.02 0.01 0.03 0.03 0.02 0.11 0.11 0.10 0.13 0.00 0.00 0.01 0.02 0.00 0.01 0.00 0.01 0.01 0.01 0.01 0.00 0.00 0.02 0.00 0.00 0.01 0.01 0.04 0.02 0.03 0.02 0.00 0.00 0.01 0.01 0.00 0.02 0.00 0.03 0.01 0.01 0.01 0.01 … … … … … … … … … … … 0.01 0.02 0.04 0.01 0.05 0.01 0.03 0.03 0.04 0.03 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.01 0.00 0.01 0.01 0.01 0.01 0.03 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.02 0.00 0.02 0.01 0.00 0.02 0.04 0.00 0.01 0.01 0.00 0.01 0.00 0.01 0.01 0.01 0.02 0.00 0.02 0.02 0.01 0.01 0.04 0.01 0.05 0.02 0.02 0.02 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.08 0.25 0.13 0.14 0.27 0.10 0.19 0.17 0.23 0.16 0.05 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.02 0.03 0.01 0.04 0.00 0.01 0.01 0.01 0.03 0.01 0.04 0.02 0.02 0.03 0.01 0.00 0.01 0.00 0.00 0.01 0.01 0.02 0.02 0.03 0.02 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.03 0.00 0.01 0.03 0.01 0.02 0.04 0.07 0.02 0.01 0.00 0.01 0.00 0.00 0.01 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.04 0.08 0.04 0.02 0.06 0.04 0.04 0.04 0.06 0.03 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.01 0.01 0.02 0.01 0.02 0.01 0.00 0.01 0.01 0.00 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.00 0.01 0.01 0.00 0.00 0.01 0.00 0.02 0.01 0.02 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.01 0.01 0.01 0.00 0.01 0.02 0.01 0.01 0.02 0.01 0.01 0.01 0.02 0.02 0.00 0.06 0.19 0.13 0.06 0.13 0.11 0.17 0.18 0.21 0.16 0.12 0.00 0.02 0.00 0.00 0.02 0.01 0.02 0.02 0.02 0.02 0.00 0.00 0.03 0.01 0.01 0.01 0.01 0.03 0.02 0.02 0.01 0.01 0.01 0.00 0.01 0.00 0.01 0.00 0.01 0.01 0.01 0.01 0.00 0.05 0.15 0.03 0.08 0.30 0.05 0.12 0.14 0.35 0.03 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.01 0.01 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.02 0.00 0.01 0.02 0.01 0.02 0.02 0.01 0.03 0.01 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.00 0.00 0.00 0.00 (continued) 110 Global Purchasing Power Parities and Real Expenditures TABLE 9 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa, cont. South Africa 0.55 0.57 0.83 1.15 0.66 0.38 0.81 0.49 0.84 0.54 Sudan 0.08 0.09 0.42 0.05 0.10 0.08 0.11 0.01 0.07 0.00 Swaziland 0.01 0.01 0.02 0.00 0.01 0.00 0.01 0.00 0.00 0.00 Tanzania 0.03 0.03 0.19 0.04 0.05 0.01 0.03 0.00 0.01 0.00 Togo 0.00 0.01 0.03 0.01 0.01 0.00 0.00 0.00 0.01 0.01 Tunisia 0.07 0.07 0.15 0.10 0.14 0.06 0.11 0.03 0.06 0.03 Uganda 0.02 0.02 0.07 0.06 0.02 0.03 0.03 0.01 0.01 0.02 Zambia 0.02 0.02 0.02 0.00 0.02 0.03 0.02 0.02 0.02 0.00 Zimbabwed … … … … … … … … … … Total 1.89 1.94 5.90 2.61 2.62 1.38 2.44 0.99 1.72 1.62 Asia-Pacific Bangladesh 0.14 0.16 0.64 0.15 0.20 0.16 0.12 0.04 0.06 0.03 Bhutan 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Brunei Darussalam 0.02 0.01 0.01 0.00 0.01 0.01 0.01 0.00 0.01 0.02 Cambodia 0.01 0.02 0.07 0.03 0.01 0.01 0.01 0.01 0.01 0.00 Chinae 5.06 3.15 6.23 2.57 4.51 2.74 2.59 1.54 1.22 5.86 Hong Kong, China 0.40 0.36 0.26 0.10 0.80 0.38 0.38 0.24 0.22 0.47 Macao, China 0.03 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.03 Taiwan, China 0.80 0.77 0.93 0.68 0.63 0.69 0.91 0.50 0.75 1.08 Fiji 0.01 0.01 0.02 0.01 0.00 0.01 0.02 0.00 0.01 0.00 India 1.76 1.61 4.45 1.36 1.91 1.16 0.93 0.93 2.37 1.09 Indonesia 0.65 0.63 2.15 0.47 0.51 0.76 0.35 0.15 0.39 0.51 Iran, Islamic Rep. 0.49 0.40 0.77 0.11 0.57 0.58 0.47 0.26 0.35 0.44 Lao PDR 0.01 0.01 0.02 0.01 0.00 0.00 0.00 0.00 0.01 0.00 Malaysia 0.31 0.23 0.33 0.13 0.12 0.24 0.22 0.09 0.28 0.53 Maldives 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Mongolia 0.01 0.00 0.01 0.00 0.01 0.00 0.00 0.00 0.00 0.00 Nepal 0.02 0.02 0.10 0.03 0.03 0.02 0.01 0.02 0.01 0.00 Pakistan 0.27 0.31 1.23 0.11 0.52 0.25 0.15 0.18 0.15 0.27 Philippines 0.22 0.23 0.85 0.18 0.11 0.19 0.09 0.06 0.12 0.42 Singapore 0.26 0.17 0.12 0.16 0.14 0.14 0.21 0.11 0.27 0.18 Sri Lanka 0.05 0.06 0.18 0.10 0.12 0.03 0.08 0.02 0.10 0.03 Thailand 0.40 0.36 0.47 0.64 0.57 0.15 0.46 0.24 0.51 0.21 Vietnam 0.12 0.11 0.28 0.10 0.09 0.10 0.11 0.07 0.10 0.04 Total 11.04 8.64 19.13 6.95 10.89 7.65 7.13 4.48 6.96 11.22 CIS Armenia 0.01 0.01 0.07 0.02 0.01 0.01 0.00 0.01 0.00 0.01 Azerbaijan 0.03 0.02 0.10 0.02 0.03 0.01 0.02 0.01 0.01 0.01 Tables of Results 111 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.31 0.76 0.22 0.46 0.59 0.49 0.69 0.43 0.73 0.32 0.00 0.04 0.02 0.00 0.02 0.11 0.00 0.05 0.08 0.12 0.06 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.01 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.04 0.00 0.02 0.03 0.04 0.03 0.01 0.00 0.00 0.00 0.00 0.01 0.00 0.01 0.00 0.00 0.00 0.00 0.02 0.06 0.15 0.03 0.07 0.04 0.07 0.07 0.06 0.08 0.02 0.01 0.04 0.01 0.00 0.03 0.01 0.02 0.02 0.02 0.03 0.00 0.03 0.02 0.00 0.01 0.02 0.01 0.02 0.02 0.04 0.02 0.00 … … … … … … … … … … … 0.77 1.92 0.89 0.98 2.09 1.02 1.97 1.68 2.39 1.44 0.43 0.02 0.11 0.06 0.05 0.18 0.03 0.06 0.16 0.11 0.21 0.02 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.01 0.02 0.01 0.00 0.01 0.01 0.04 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.01 0.01 0.01 0.01 0.01 0.00 1.91 4.01 2.73 3.75 3.23 2.88 5.28 9.73 7.70 11.69 5.85 0.54 0.35 0.55 0.33 0.39 0.16 0.24 0.39 0.57 0.31 0.19 0.02 0.01 0.02 0.01 0.01 0.01 0.02 0.03 0.02 0.04 0.01 0.83 1.08 0.96 0.62 0.83 0.42 0.80 0.78 1.16 0.56 0.69 0.01 0.01 0.00 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.40 1.20 0.50 1.35 1.74 0.91 1.43 2.32 3.03 2.17 0.57 0.14 0.46 0.64 0.27 0.70 0.22 0.37 0.70 0.34 1.01 0.21 0.19 0.40 0.10 0.21 0.42 0.30 0.37 0.49 0.86 0.32 0.15 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.01 0.01 0.01 0.02 0.12 0.27 0.29 0.25 0.23 0.22 0.22 0.30 0.52 0.19 0.08 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.01 0.01 0.00 0.02 0.00 0.01 0.01 0.01 0.03 0.01 0.01 0.02 0.01 0.02 0.04 0.11 0.18 0.04 0.11 0.34 0.11 0.19 0.23 0.29 0.21 0.18 0.03 0.28 0.12 0.19 0.26 0.09 0.16 0.15 0.19 0.13 0.13 0.27 0.18 0.21 0.15 0.18 0.10 0.22 0.27 0.42 0.21 0.06 0.03 0.02 0.02 0.03 0.06 0.04 0.04 0.06 0.07 0.06 0.02 0.28 0.42 0.89 0.16 0.38 0.30 0.33 0.53 1.03 0.30 0.03 0.07 0.13 0.12 0.03 0.12 0.07 0.08 0.18 0.17 0.19 0.16 4.99 9.18 7.29 7.53 9.14 5.92 9.88 16.38 16.54 17.67 8.46 0.00 0.01 0.00 0.00 0.01 0.01 0.01 0.02 0.01 0.02 0.00 0.01 0.02 0.01 0.00 0.02 0.02 0.02 0.06 0.09 0.03 0.10 (continued) 112 Global Purchasing Power Parities and Real Expenditures TABLE 9 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS, cont. Belarus 0.07 0.06 0.18 0.11 0.08 0.04 0.04 0.04 0.04 0.10 Georgia 0.01 0.02 0.04 0.03 0.01 0.01 0.01 0.01 0.02 0.03 Kazakhstan 0.13 0.10 0.16 0.12 0.21 0.16 0.06 0.08 0.08 0.09 Kyrgyz Republic 0.01 0.01 0.03 0.02 0.01 0.00 0.00 0.00 0.01 0.01 Moldova 0.01 0.01 0.02 0.03 0.01 0.01 0.01 0.00 0.01 0.02 Russian Federation f 1.73 1.44 2.92 3.39 2.96 0.80 1.18 0.85 1.46 2.65 Tajikistan 0.01 0.01 0.03 0.00 0.01 0.00 0.00 0.00 0.01 0.01 Ukraine 0.19 0.20 0.52 0.40 0.19 0.10 0.13 0.13 0.21 0.32 Total 2.19 1.87 4.06 4.15 3.52 1.14 1.48 1.14 1.85 3.25 OECD-Eurostat Albania 0.02 0.02 0.04 0.04 0.02 0.03 0.03 0.01 0.03 0.04 Australia 1.61 1.53 1.08 2.17 1.13 1.68 1.82 1.44 1.51 1.68 Austria 0.69 0.67 0.50 0.67 0.83 0.69 0.89 0.54 0.72 0.67 Belgium 0.85 0.82 0.68 0.88 0.76 0.85 0.72 0.82 0.88 0.62 Bosnia and Herzegovina 0.03 0.04 0.09 0.09 0.05 0.03 0.05 0.03 0.03 0.04 Bulgaria 0.06 0.07 0.12 0.10 0.05 0.08 0.05 0.05 0.11 0.18 Canada 2.56 2.48 1.56 3.11 2.11 2.82 2.59 2.29 2.74 2.09 Croatia 0.09 0.09 0.17 0.16 0.11 0.09 0.16 0.08 0.09 0.13 Cyprus 0.04 0.04 0.05 0.10 0.06 0.04 0.05 0.02 0.06 0.04 Czech Republic 0.28 0.24 0.27 0.65 0.23 0.27 0.23 0.21 0.23 0.32 Denmark 0.58 0.56 0.37 0.62 0.44 0.64 0.49 0.48 0.53 0.38 Estonia 0.03 0.03 0.04 0.08 0.04 0.03 0.03 0.02 0.03 0.04 Finland 0.44 0.42 0.32 0.63 0.35 0.48 0.36 0.39 0.39 0.40 France 4.82 5.06 4.41 4.79 4.29 5.96 4.88 4.82 5.55 4.86 Germany 6.30 6.40 4.70 7.18 6.12 7.36 7.38 6.24 6.77 6.28 Greece 0.56 0.59 0.71 1.05 1.32 0.53 0.75 0.41 0.47 0.61 Hungary 0.25 0.24 0.27 0.65 0.16 0.22 0.28 0.21 0.30 0.40 Iceland 0.04 0.04 0.03 0.05 0.03 0.04 0.04 0.04 0.05 0.03 Ireland 0.45 0.37 0.14 0.59 0.34 0.36 0.41 0.29 0.34 0.44 Israel 0.29 0.29 0.31 0.24 0.18 0.33 0.35 0.22 0.27 0.41 Italy 3.99 4.10 4.20 3.61 6.23 4.22 5.53 3.87 4.43 4.30 Japan 10.27 10.00 9.98 9.91 6.34 12.05 9.82 8.99 8.56 11.88 Korea, Rep. 1.79 1.52 1.67 1.26 1.27 1.34 1.12 0.97 1.39 3.26 Latvia 0.04 0.04 0.06 0.09 0.05 0.04 0.02 0.02 0.03 0.06 Lithuania 0.06 0.06 0.12 0.14 0.10 0.05 0.06 0.05 0.08 0.06 Luxembourg 0.08 0.06 0.03 0.16 0.03 0.05 0.06 0.04 0.07 0.02 Macedonia, FYR 0.01 0.02 0.04 0.02 0.02 0.02 0.01 0.01 0.01 0.05 Malta 0.01 0.01 0.02 0.02 0.02 0.01 0.03 0.01 0.02 0.03 Mexico 1.73 1.89 3.43 1.77 1.11 1.74 2.72 1.05 2.90 1.52 Tables of Results 113 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.04 0.08 0.02 0.02 0.06 0.10 0.07 0.08 0.11 0.08 0.01 0.01 0.01 0.02 0.00 0.02 0.01 0.02 0.02 0.02 0.02 0.01 0.07 0.13 0.05 0.04 0.11 0.08 0.09 0.17 0.14 0.17 0.24 0.00 0.01 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.00 0.00 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.00 0.01 0.00 1.14 1.03 0.65 0.85 1.42 1.50 1.81 1.40 1.47 1.40 1.15 0.00 0.01 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.14 0.25 0.09 0.09 0.19 0.25 0.16 0.20 0.26 0.17 0.09 1.41 1.54 0.84 1.01 1.85 1.97 2.18 1.95 2.12 1.91 1.61 0.02 0.01 0.02 0.01 0.02 0.01 0.01 0.03 0.04 0.03 0.02 2.06 1.89 1.73 1.23 1.51 1.59 1.77 1.95 2.18 1.90 1.38 0.94 0.71 1.13 0.58 0.63 0.88 0.56 0.65 0.73 0.66 0.32 0.82 0.94 0.53 0.90 0.74 1.35 0.86 0.80 1.01 0.68 0.70 0.02 0.03 0.04 0.02 0.04 0.03 0.03 0.03 0.04 0.03 0.01 0.05 0.05 0.10 0.03 0.07 0.06 0.07 0.07 0.10 0.05 0.02 2.93 2.54 2.32 2.61 2.32 3.38 2.25 2.50 2.14 2.89 1.52 0.11 0.09 0.13 0.06 0.08 0.10 0.10 0.12 0.12 0.13 0.05 0.05 0.04 0.09 0.04 0.04 0.04 0.04 0.03 0.03 0.04 0.01 0.35 0.25 0.22 0.16 0.23 0.35 0.36 0.33 0.40 0.31 0.18 0.67 0.66 0.33 0.78 0.47 1.13 0.60 0.55 0.58 0.46 0.94 0.04 0.03 0.03 0.02 0.03 0.03 0.03 0.05 0.05 0.05 0.01 0.54 0.44 0.34 0.48 0.37 0.73 0.39 0.39 0.30 0.43 0.42 5.86 4.71 4.01 5.21 4.50 8.50 4.67 4.43 3.70 4.94 4.14 6.78 4.76 4.54 6.84 6.08 7.89 5.72 5.08 6.01 4.78 3.40 0.46 0.48 1.76 0.29 0.63 0.36 0.69 0.61 0.69 0.60 0.39 0.26 0.25 0.16 0.21 0.22 0.36 0.29 0.26 0.30 0.26 0.15 0.06 0.05 0.04 0.03 0.04 0.07 0.03 0.05 0.04 0.05 0.03 0.33 0.48 0.74 0.39 0.33 0.54 0.29 0.55 0.31 0.76 0.19 0.30 0.44 0.19 0.26 0.26 0.43 0.48 0.23 0.29 0.20 0.17 3.41 3.52 5.60 3.10 3.93 5.42 3.96 3.80 4.48 3.25 4.50 10.06 7.94 10.62 10.88 9.63 11.82 9.56 10.99 11.64 10.14 13.51 1.30 2.05 1.65 1.80 1.54 1.21 1.72 2.42 2.15 2.70 1.78 0.04 0.04 0.03 0.01 0.04 0.04 0.04 0.05 0.07 0.04 0.02 0.05 0.06 0.03 0.04 0.06 0.07 0.05 0.06 0.07 0.06 0.03 0.05 0.07 0.05 0.06 0.05 0.10 0.07 0.08 0.06 0.09 0.10 0.00 0.01 0.01 0.01 0.02 0.01 0.02 0.01 0.01 0.01 0.00 0.02 0.01 0.03 0.01 0.01 0.02 0.01 0.01 0.01 0.01 0.01 0.74 2.18 2.03 1.20 1.97 1.37 0.93 1.55 1.90 1.56 0.20 (continued) 114 Global Purchasing Power Parities and Real Expenditures TABLE 9 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication OECD-Eurostat, cont. Montenegro 0.01 0.01 0.01 0.01 0.01 0.01 0.00 0.00 0.00 0.01 Netherlands 1.43 1.29 0.87 1.12 1.18 1.35 1.30 1.08 1.10 2.00 New Zealand 0.25 0.25 0.24 0.43 0.22 0.28 0.29 0.21 0.28 0.28 Norway 0.68 0.54 0.42 0.65 0.49 0.47 0.50 0.56 0.55 0.56 Poland 0.69 0.73 1.06 1.62 0.67 0.87 0.58 0.50 0.52 0.92 Portugal 0.42 0.47 0.52 0.57 0.66 0.33 0.57 0.47 0.54 0.52 Romania 0.22 0.25 0.52 0.44 0.18 0.30 0.23 0.16 0.36 0.20 Russian Federationf 1.73 1.44 2.92 3.39 2.96 0.80 1.18 0.85 1.46 2.65 Serbia 0.06 0.07 0.15 0.13 0.06 0.09 0.07 0.05 0.06 0.11 Slovak Republic 0.11 0.10 0.13 0.18 0.08 0.13 0.10 0.07 0.07 0.14 Slovenia 0.08 0.08 0.08 0.13 0.08 0.07 0.08 0.07 0.10 0.10 Spain 2.55 2.52 2.55 2.53 2.80 2.15 2.46 2.17 2.50 2.59 Sweden 0.81 0.79 0.54 0.76 0.65 0.90 0.59 0.73 0.69 0.78 Switzerland 0.84 0.81 0.62 0.99 0.65 1.00 0.67 0.85 0.54 0.86 Turkey 0.82 0.87 1.65 1.33 1.14 1.24 1.14 0.26 0.98 1.55 United Kingdom 5.06 5.71 3.29 6.62 5.94 5.19 5.43 4.44 6.44 4.44 United States 27.93 31.06 15.88 24.14 29.53 29.53 28.57 44.61 31.65 21.41 Total 81.64 84.69 66.87 85.87 81.11 86.76 84.69 90.70 86.45 79.98 South America Argentina 0.41 0.39 0.73 0.57 0.38 0.34 0.40 0.33 0.35 0.65 Bolivia 0.02 0.02 0.05 0.01 0.02 0.02 0.03 0.01 0.04 0.02 Brazil 1.99 1.94 2.47 1.74 1.81 1.88 2.31 1.83 2.21 3.49 Chile 0.27 0.24 0.32 0.26 0.39 0.22 0.37 0.20 0.32 0.32 Colombia 0.28 0.28 0.55 0.44 0.28 0.23 0.30 0.23 0.28 0.35 Ecuador 0.08 0.08 0.18 0.07 0.12 0.06 0.12 0.05 0.11 0.17 Paraguay 0.02 0.02 0.05 0.02 0.03 0.01 0.02 0.01 0.02 0.02 Peru 0.18 0.18 0.43 0.14 0.24 0.09 0.19 0.10 0.14 0.20 Uruguay 0.04 0.04 0.07 0.06 0.05 0.05 0.05 0.04 0.05 0.06 Venezuela, R. B. 0.33 0.25 0.53 0.29 0.22 0.16 0.27 0.17 0.22 0.51 Total 3.61 3.45 5.38 3.59 3.54 3.06 4.06 2.98 3.75 5.77 West Asia Bahrain 0.03 0.02 0.03 0.00 0.03 0.02 0.04 0.02 0.02 0.02 Egypt, Arab Rep.c 0.22 0.25 0.87 0.28 0.44 0.19 0.19 0.10 0.10 0.29 Iraq 0.08 0.06 0.16 0.02 0.07 0.06 0.10 0.07 0.06 0.03 Jordan 0.03 0.04 0.09 0.05 0.05 0.04 0.03 0.02 0.03 0.07 Kuwait 0.18 0.10 0.12 0.01 0.18 0.11 0.28 0.04 0.12 0.11 Lebanon 0.05 0.06 0.15 0.05 0.09 0.04 0.09 0.04 0.05 0.04 Oman 0.07 0.04 0.07 0.01 0.06 0.04 0.04 0.02 0.05 0.07 Tables of Results 115 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.00 0.00 0.00 0.00 0.01 0.00 0.01 0.00 0.00 0.00 0.00 1.49 1.25 0.84 2.05 1.16 2.19 1.74 1.25 1.07 1.33 1.49 0.39 0.25 0.27 0.17 0.24 0.31 0.20 0.27 0.29 0.27 0.21 0.76 0.53 0.37 0.61 0.46 1.00 0.57 0.58 0.55 0.53 1.00 0.67 0.75 0.29 0.71 0.72 0.79 0.64 0.58 0.69 0.53 0.49 0.46 0.54 0.69 0.40 0.44 0.61 0.42 0.42 0.37 0.40 0.69 0.14 0.20 0.19 0.08 0.26 0.23 0.24 0.24 0.33 0.21 0.09 1.14 1.03 0.65 0.85 1.42 1.50 1.81 1.40 1.47 1.40 1.15 0.04 0.05 0.03 0.04 0.07 0.07 0.05 0.05 0.06 0.04 0.03 0.11 0.08 0.10 0.07 0.10 0.09 0.14 0.13 0.19 0.11 0.10 0.09 0.09 0.07 0.06 0.07 0.10 0.07 0.09 0.10 0.09 0.05 2.99 2.22 6.81 2.05 2.44 3.07 2.22 3.46 2.41 3.66 6.16 1.00 1.05 0.46 1.03 0.63 1.79 0.72 0.64 0.79 0.51 0.89 0.91 0.84 0.95 0.90 0.82 0.63 0.49 0.82 1.08 0.69 0.65 0.27 0.66 0.58 0.37 0.94 0.50 0.75 0.75 1.15 0.63 0.00 7.96 4.39 8.74 6.87 5.24 7.82 4.86 4.03 3.90 3.73 6.16 34.89 34.35 28.95 34.82 33.00 20.40 30.96 24.84 21.40 25.34 34.44 91.62 83.02 88.50 88.36 83.88 88.98 81.52 77.24 75.35 76.59 87.82 0.33 0.31 0.45 0.24 0.43 0.21 0.36 0.41 0.46 0.42 0.14 0.00 0.03 0.03 0.01 0.02 0.02 0.02 0.01 0.02 0.01 0.01 1.09 2.12 1.18 1.85 2.02 1.59 3.03 1.50 2.07 1.18 1.27 0.13 0.29 0.12 0.16 0.26 0.14 0.20 0.26 0.28 0.28 0.03 0.13 0.31 0.26 0.13 0.29 0.23 0.37 0.26 0.28 0.27 0.13 0.07 0.10 0.04 0.03 0.09 0.05 0.06 0.08 0.09 0.09 0.02 0.02 0.01 0.01 0.01 0.02 0.01 0.01 0.02 0.02 0.01 0.00 0.11 0.23 0.24 0.13 0.20 0.07 0.14 0.16 0.12 0.18 0.15 0.02 0.03 0.03 0.02 0.05 0.02 0.03 0.02 0.03 0.02 0.01 0.13 0.34 0.33 0.11 0.26 0.19 0.21 0.31 0.38 0.29 0.15 2.03 3.76 2.71 2.68 3.63 2.52 4.43 3.02 3.75 2.75 1.89 0.01 0.03 0.01 0.01 0.02 0.02 0.02 0.02 0.02 0.03 0.00 0.08 0.25 0.13 0.14 0.27 0.10 0.19 0.17 0.23 0.16 0.05 0.01 0.07 0.01 0.01 0.06 0.09 0.24 0.03 0.06 0.02 0.04 0.01 0.06 0.02 0.02 0.04 0.03 0.03 0.04 0.05 0.04 0.05 0.05 0.17 0.04 0.04 0.10 0.11 0.21 0.12 0.07 0.18 0.00 0.03 0.15 0.06 0.03 0.07 0.03 0.05 0.05 0.03 0.06 0.06 0.01 0.06 0.02 0.04 0.04 0.04 0.11 0.06 0.09 0.03 0.09 (continued) 116 Global Purchasing Power Parities and Real Expenditures TABLE 9 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication West Asia, cont. Qatar 0.10 0.03 0.03 0.00 0.04 0.03 0.04 0.02 0.04 0.06 Saudi Arabia 0.71 0.38 0.55 0.05 0.53 0.32 0.67 0.26 0.34 0.38 Syrian Arab Republic 0.06 0.07 0.24 0.01 0.14 0.10 0.05 0.04 0.02 0.01 Yemen, Rep. 0.04 0.04 0.13 0.03 0.07 0.04 0.03 0.01 0.02 0.01 Total 1.57 1.10 2.45 0.51 1.71 0.99 1.57 0.65 0.84 1.10 WORLD 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Tables of Results 117 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.01 0.07 0.01 0.01 0.03 0.04 0.08 0.15 0.20 0.11 0.18 0.17 0.91 0.24 0.11 0.34 0.67 0.98 0.55 0.67 0.47 0.50 0.01 0.06 0.02 0.00 0.07 0.03 0.05 0.07 0.10 0.06 0.00 0.01 0.03 0.02 0.02 0.04 0.02 0.03 0.03 0.04 0.04 0.01 0.40 1.86 0.56 0.43 1.10 1.18 2.01 1.30 1.55 1.20 0.98 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Burundi: Submitted prices, but did not provide official national accounts data. c. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. d. Zimbabwe: Data were suppressed because of extreme volatility in the official exchange rate. e. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. f. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 118 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 10 Real expenditures—country shares, world = 100 Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication Africa Angola 0.10 0.03 0.05 0.06 0.02 0.04 0.03 0.02 0.01 0.00 Benin 0.02 0.02 0.04 0.02 0.04 0.03 0.01 0.01 0.01 0.00 Botswana 0.04 0.01 0.02 0.05 0.02 0.01 0.02 0.01 0.01 0.01 Burkina Faso 0.03 0.03 0.06 0.08 0.02 0.03 0.05 0.01 0.01 0.00 Burundid … … … … … … … … … … Cameroon 0.06 0.07 0.14 0.06 0.12 0.06 0.14 0.02 0.04 0.01 Cape Verde 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Central African Republic 0.00 0.01 0.02 0.02 0.01 0.01 0.01 0.00 0.00 0.00 Chad 0.03 0.02 0.04 0.01 0.01 0.01 0.02 0.01 0.02 0.00 Comoros 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Congo, Dem. Rep. 0.03 0.02 0.06 0.02 0.03 0.03 0.01 0.01 0.00 0.00 Congo, Rep. 0.02 0.01 0.01 0.01 0.00 0.01 0.01 0.01 0.00 0.01 Côte d’Ivoire 0.05 0.06 0.12 0.07 0.04 0.06 0.11 0.02 0.04 0.03 Djibouti 0.00 0.00 0.00 0.02 0.00 0.00 0.00 0.00 0.00 0.00 Egypt, Arab Rep.e 0.64 0.71 1.50 0.49 1.00 0.57 0.55 0.67 0.33 0.30 Equatorial Guinea 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.00 0.00 Ethiopia 0.08 0.09 0.25 0.02 0.08 0.12 0.13 0.03 0.01 0.01 Gabon 0.03 0.01 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 Gambia, The 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Ghana 0.05 0.05 0.10 0.04 0.11 0.07 0.07 0.04 0.02 0.00 Guinea 0.02 0.02 0.03 0.02 0.02 0.02 0.03 0.02 0.01 0.00 Guinea-Bissau 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Kenya 0.09 0.11 0.19 0.11 0.08 0.11 0.12 0.13 0.08 0.04 Lesotho 0.00 0.01 0.01 0.01 0.02 0.01 0.01 0.01 0.00 0.00 Liberia 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 Madagascar 0.03 0.04 0.08 0.02 0.03 0.05 0.03 0.02 0.01 0.00 Malawi 0.02 0.02 0.02 0.01 0.01 0.03 0.01 0.03 0.01 0.00 Mali 0.02 0.02 0.05 0.02 0.02 0.03 0.03 0.01 0.02 0.00 Mauritania 0.01 0.01 0.02 0.00 0.01 0.01 0.01 0.01 0.00 0.00 Mauritius 0.02 0.03 0.03 0.05 0.03 0.04 0.03 0.02 0.02 0.03 Morocco 0.19 0.18 0.36 0.11 0.17 0.26 0.22 0.08 0.14 0.27 Mozambique 0.03 0.03 0.09 0.03 0.03 0.03 0.02 0.01 0.01 0.00 Namibia 0.02 0.01 0.02 0.02 0.02 0.01 0.02 0.02 0.01 0.00 Niger 0.01 0.02 0.03 0.01 0.03 0.02 0.02 0.01 0.01 0.00 Nigeria 0.45 0.44 0.91 0.15 0.57 0.59 0.86 0.19 0.18 0.03 Rwanda 0.01 0.01 0.03 0.06 0.01 0.01 0.01 0.01 0.00 0.00 São Tomé and Principe 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Tables of Results 119 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.01 0.03 0.01 0.04 0.03 0.04 0.18 0.12 … … … 0.00 0.02 0.02 0.01 0.02 0.02 0.03 0.01 0.01 0.02 0.00 0.00 0.04 0.00 0.01 0.01 0.02 0.10 0.03 0.04 0.03 0.01 0.00 0.03 0.02 0.01 0.03 0.02 0.09 0.02 … … … … … … … … … … … … … … 0.01 0.07 0.06 0.01 0.07 0.04 0.08 0.03 0.04 0.04 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 … … … 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.00 0.00 0.00 0.00 0.01 0.08 0.00 0.01 0.02 0.07 0.09 0.01 0.01 0.01 0.04 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 … … 0.00 0.00 0.02 0.00 0.01 0.02 0.00 0.07 0.03 … … … 0.00 0.03 0.01 0.00 0.01 0.02 0.03 0.01 0.00 0.01 0.00 0.02 0.04 0.01 0.02 0.06 0.03 0.08 0.01 0.01 0.01 0.01 0.00 0.01 0.00 0.00 0.00 0.00 0.01 0.00 … … … 0.17 1.54 0.20 0.43 0.68 0.94 1.04 0.36 0.26 0.48 0.12 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.02 0.03 0.01 0.03 0.00 … 0.03 0.03 0.09 0.04 0.15 0.05 0.02 0.07 0.01 0.00 0.04 0.00 0.01 0.01 0.03 0.05 0.03 … … … 0.00 … 0.00 0.00 0.00 0.01 0.01 0.00 0.00 0.00 0.00 0.02 0.09 0.00 0.03 0.06 0.02 0.04 0.05 0.08 0.03 0.02 0.00 0.04 0.01 0.01 0.02 0.01 0.01 0.01 … … … 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 … … … 0.06 0.21 0.10 0.06 0.11 0.11 0.10 0.04 0.05 0.05 0.00 0.00 0.03 0.00 0.00 0.01 0.01 0.01 0.00 … 0.01 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 0.00 … 0.00 0.00 0.12 0.01 0.00 0.03 0.03 0.07 0.02 0.02 0.02 0.01 0.01 0.04 0.00 0.02 0.02 0.00 0.03 0.01 0.01 0.02 0.00 0.01 0.04 0.01 0.01 0.02 0.02 0.05 0.01 0.02 0.01 0.00 0.00 0.01 0.00 0.00 0.01 0.01 0.03 0.02 … … … 0.01 0.04 0.01 0.01 0.02 0.04 0.04 0.02 0.02 0.02 0.00 0.07 0.19 0.15 0.08 0.18 0.15 0.26 0.22 0.29 … 0.16 0.01 0.04 0.00 0.01 0.03 0.03 0.04 0.02 0.02 0.02 0.00 0.00 0.04 0.01 0.01 0.01 0.03 0.04 0.02 … … … 0.01 0.01 0.01 0.01 0.02 0.01 0.03 0.01 0.01 0.01 0.00 0.06 0.68 0.04 0.20 0.44 0.36 0.47 0.18 0.39 0.05 0.00 0.00 0.03 0.00 0.00 0.01 0.02 0.04 0.01 … … … 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 … 0.00 (continued) 120 Global Purchasing Power Parities and Real Expenditures TABLE 10 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication AFRICA, cont. Senegal 0.03 0.04 0.08 0.04 0.04 0.04 0.06 0.02 0.01 0.06 Sierra Leone 0.01 0.01 0.02 0.01 0.02 0.01 0.00 0.02 0.00 0.00 South Africa 0.72 0.74 0.86 1.35 0.73 0.66 0.85 0.69 0.90 0.45 Sudan 0.14 0.18 0.43 0.04 0.20 0.20 0.25 0.03 0.11 0.00 Swaziland 0.01 0.01 0.02 0.00 0.01 0.01 0.01 0.02 0.00 0.00 Tanzania 0.07 0.08 0.24 0.07 0.10 0.05 0.07 0.02 0.02 0.00 Togo 0.01 0.01 0.03 0.02 0.01 0.01 0.01 0.00 0.01 0.00 Tunisia 0.12 0.12 0.17 0.12 0.12 0.15 0.20 0.07 0.07 0.04 Uganda 0.05 0.06 0.11 0.09 0.03 0.10 0.06 0.04 0.02 0.01 Zambia 0.02 0.03 0.02 0.00 0.03 0.07 0.03 0.04 0.02 0.00 Zimbabwe 0.01 0.01 0.03 0.02 0.03 0.01 0.01 0.00 0.00 0.00 Total 3.34 3.42 6.37 3.39 3.88 3.61 4.15 2.39 2.20 1.39 Asia-Pacific Bangladesh 0.32 0.37 1.07 0.33 0.42 0.35 0.26 0.24 0.09 0.05 Bhutan 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.01 0.00 0.00 Brunei Darussalam 0.03 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.02 0.02 Cambodia 0.04 0.04 0.11 0.06 0.02 0.02 0.01 0.08 0.02 0.00 Chinaf 9.70 6.12 8.29 3.06 5.20 5.21 3.90 9.88 1.89 11.99 Hong Kong, China 0.44 0.36 0.21 0.07 0.99 0.25 0.38 0.34 0.21 0.42 Macao, China 0.03 0.01 0.01 0.00 0.02 0.01 0.01 0.01 0.01 0.03 Taiwan, China 1.07 1.02 0.77 0.80 0.91 0.70 0.91 1.51 0.96 1.68 Fiji 0.01 0.01 0.01 0.01 0.01 0.01 0.02 0.01 0.01 0.00 India 4.26 4.29 8.33 1.60 4.87 3.24 1.75 7.33 3.66 2.16 Indonesia 1.29 1.37 3.21 0.57 1.24 1.38 0.73 0.44 0.72 0.56 Iran, Islamic Rep. 1.34 1.23 1.09 0.32 1.49 1.68 0.98 2.02 1.16 5.51 Lao PDR 0.02 0.02 0.04 0.02 0.01 0.02 0.01 0.01 0.01 0.00 Malaysia 0.54 0.39 0.40 0.11 0.19 0.29 0.35 0.28 0.50 0.73 Maldives 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Mongolia 0.01 0.01 0.02 0.01 0.02 0.01 0.01 0.01 0.01 0.01 Nepal 0.05 0.06 0.18 0.04 0.08 0.04 0.03 0.11 0.01 0.01 Pakistan 0.67 0.84 1.96 0.18 1.30 0.96 0.35 1.10 0.30 0.66 Philippines 0.45 0.50 1.24 0.52 0.22 0.37 0.19 0.20 0.22 0.52 Singapore 0.33 0.18 0.10 0.05 0.14 0.11 0.20 0.18 0.26 0.25 Sri Lanka 0.12 0.14 0.27 0.10 0.34 0.10 0.14 0.09 0.16 0.04 Thailand 0.81 0.78 0.68 0.83 1.06 0.43 0.74 0.93 0.93 0.31 Vietnam 0.32 0.29 0.48 0.20 0.20 0.23 0.21 0.53 0.13 0.08 Total 21.87 18.07 28.48 8.88 18.72 15.42 11.16 25.33 11.27 25.04 Tables of Results 121 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.01 0.04 0.00 0.01 0.04 0.03 0.05 0.03 0.01 0.04 0.01 0.00 0.02 0.00 0.00 0.01 0.01 0.02 0.00 0.00 0.00 0.00 0.34 0.99 0.22 0.61 0.71 0.98 1.20 0.50 0.85 0.30 0.00 0.06 0.05 0.00 0.06 0.18 0.01 0.14 0.08 0.12 0.07 0.00 0.00 0.01 0.00 0.00 0.01 0.01 0.01 0.01 … … … 0.01 … 0.00 0.01 0.08 0.02 0.08 0.04 0.04 0.06 0.01 0.00 0.02 0.00 0.00 0.01 0.01 0.02 0.00 … 0.00 0.00 0.02 0.10 0.31 0.05 0.12 0.12 0.14 0.10 0.08 0.13 0.03 0.01 … 0.02 0.01 0.06 0.08 0.08 0.03 0.02 0.05 0.00 0.03 … 0.00 0.01 0.03 0.05 0.05 0.02 0.03 0.02 0.00 0.00 0.04 0.00 0.00 0.01 0.03 0.04 0.01 … … 0.00 0.99 5.19 1.31 1.84 3.35 3.52 5.16 2.21 2.71 2.12 0.64 0.03 0.63 0.10 0.11 0.39 0.12 0.18 0.34 0.12 0.66 0.04 0.00 0.00 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.02 0.00 0.01 0.04 0.01 0.01 0.01 0.03 0.09 0.02 0.01 0.02 0.01 0.01 0.14 0.03 0.01 0.04 0.07 0.05 0.02 0.01 0.03 0.00 4.48 13.02 3.79 6.70 5.66 13.52 17.25 17.94 8.01 29.75 10.73 0.79 0.34 0.54 0.42 0.37 0.24 0.34 0.49 0.66 0.34 0.24 0.03 0.02 0.02 0.01 0.01 0.02 0.02 0.04 0.02 0.05 0.01 1.46 1.84 1.40 0.95 1.03 0.99 1.55 1.05 1.24 0.75 0.92 0.01 0.01 0.00 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.95 7.35 0.93 3.34 4.29 4.30 4.10 4.80 4.05 5.63 1.18 0.33 2.49 1.41 0.67 1.41 0.85 0.88 1.18 0.34 2.31 0.35 0.47 1.49 0.19 0.73 1.21 1.48 1.65 0.99 1.02 0.88 0.31 0.01 0.06 0.01 0.00 0.02 0.03 0.06 0.02 0.01 0.03 0.05 0.24 0.76 0.43 0.45 0.37 0.73 0.68 0.55 0.59 0.48 0.15 0.00 0.01 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.00 0.01 0.00 0.05 0.00 0.00 0.01 0.03 0.02 0.02 0.01 0.01 0.03 0.01 0.09 0.02 0.02 0.06 0.03 0.04 0.04 0.01 0.07 0.10 0.28 1.31 0.06 0.28 0.86 0.60 0.67 0.45 0.30 0.57 0.35 0.07 1.18 0.25 0.43 0.52 0.30 0.42 0.28 0.20 0.33 0.24 0.39 0.24 0.24 0.19 0.18 0.17 0.39 0.39 0.44 0.34 0.09 0.06 0.13 0.03 0.07 0.14 0.22 0.16 0.11 0.08 0.16 0.03 0.57 1.57 1.76 0.34 0.76 1.04 0.76 1.04 1.19 0.82 0.06 0.18 1.44 0.27 0.07 0.27 0.58 0.49 0.46 0.19 0.80 0.40 10.38 34.20 11.49 14.82 17.63 25.38 29.80 30.24 18.52 44.06 15.31 (continued) 122 Global Purchasing Power Parities and Real Expenditures TABLE 10 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS Armenia 0.02 0.03 0.10 0.03 0.01 0.04 0.01 0.02 0.01 0.01 Azerbaijan 0.07 0.06 0.18 0.04 0.03 0.07 0.04 0.04 0.03 0.02 Belarus 0.15 0.18 0.33 0.27 0.12 0.28 0.07 0.20 0.06 0.37 Georgia 0.03 0.04 0.06 0.06 0.01 0.06 0.01 0.05 0.03 0.03 Kazakhstan 0.24 0.22 0.27 0.33 0.23 0.43 0.09 0.36 0.15 0.09 Kyrgyz Republic 0.02 0.03 0.05 0.07 0.02 0.04 0.01 0.02 0.01 0.01 Moldova 0.02 0.03 0.03 0.10 0.01 0.06 0.02 0.02 0.02 0.03 Russian Federationg 3.09 3.03 4.46 7.43 3.02 3.19 1.67 2.75 2.21 3.12 Tajikistan 0.02 0.03 0.06 0.00 0.01 0.06 0.01 0.02 0.01 0.01 Ukraine 0.48 0.59 1.08 1.17 0.28 0.89 0.23 0.60 0.38 0.49 Total 4.13 4.23 6.62 9.50 3.75 5.11 2.16 4.09 2.90 4.20 OECD-Eurostat Albania 0.03 0.04 0.05 0.06 0.02 0.05 0.03 0.04 0.03 0.04 Australia 1.22 1.20 0.79 1.20 1.04 1.33 1.39 0.97 1.25 1.06 Austria 0.51 0.52 0.36 0.59 0.66 0.60 0.76 0.40 0.48 0.53 Belgium 0.61 0.61 0.49 0.74 0.58 0.59 0.59 0.57 0.63 0.44 Bosnia and Herzegovina 0.05 0.07 0.11 0.16 0.04 0.09 0.08 0.05 0.03 0.07 Bulgaria 0.13 0.15 0.17 0.18 0.06 0.23 0.09 0.14 0.15 0.15 Canada 2.06 2.04 1.14 1.74 1.65 2.67 2.08 1.46 2.45 1.63 Croatia 0.11 0.11 0.15 0.16 0.09 0.19 0.17 0.11 0.08 0.14 Cyprus 0.03 0.04 0.04 0.08 0.05 0.04 0.04 0.02 0.04 0.06 Czech Republic 0.38 0.36 0.32 0.84 0.19 0.52 0.26 0.39 0.23 0.24 Denmark 0.33 0.31 0.21 0.42 0.30 0.35 0.34 0.25 0.25 0.36 Estonia 0.04 0.04 0.04 0.11 0.04 0.04 0.04 0.03 0.03 0.03 Finland 0.29 0.27 0.21 0.38 0.23 0.30 0.28 0.23 0.23 0.39 France 3.39 3.75 3.31 3.55 3.84 4.13 3.97 3.41 4.04 3.43 Germany 4.57 4.80 3.52 6.02 4.83 5.33 6.57 4.69 4.79 4.59 Greece 0.51 0.55 0.58 1.02 1.08 0.53 0.68 0.39 0.43 0.44 Hungary 0.31 0.33 0.30 0.81 0.14 0.43 0.34 0.34 0.26 0.34 Iceland 0.02 0.02 0.01 0.02 0.01 0.02 0.02 0.02 0.03 0.02 Ireland 0.29 0.23 0.09 0.27 0.28 0.21 0.32 0.17 0.22 0.29 Israel 0.28 0.28 0.28 0.21 0.19 0.36 0.36 0.21 0.21 0.45 Italy 2.96 3.09 2.86 2.87 4.93 3.39 4.47 2.36 3.29 3.26 Japan 7.04 6.99 4.14 9.41 4.04 8.08 6.27 8.20 6.59 8.08 Korea, Rep. 1.87 1.57 1.01 1.27 1.11 1.37 1.43 1.49 1.46 4.50 Latvia 0.06 0.06 0.07 0.14 0.04 0.08 0.03 0.05 0.04 0.05 Lithuania 0.09 0.10 0.15 0.21 0.09 0.11 0.09 0.09 0.09 0.08 Luxembourg 0.06 0.04 0.02 0.15 0.02 0.03 0.05 0.03 0.05 0.02 Macedonia, FYR 0.03 0.03 0.06 0.04 0.02 0.06 0.02 0.03 0.02 0.05 Tables of Results 123 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.01 0.06 0.00 0.01 0.03 0.03 0.02 0.02 0.01 0.03 0.00 0.02 0.16 0.01 0.01 0.05 0.12 0.05 0.08 0.10 0.04 0.14 0.08 0.41 0.06 0.05 0.14 0.39 0.13 0.11 0.12 0.12 0.01 0.02 0.06 0.03 0.00 0.03 0.04 0.03 0.03 0.02 0.03 0.01 0.14 0.72 0.09 0.08 0.19 0.34 0.20 0.21 0.16 0.22 0.32 0.01 0.07 0.01 0.01 0.02 0.06 0.02 0.01 0.00 0.01 0.00 0.02 0.09 0.01 0.01 0.02 0.04 0.01 0.01 0.00 0.02 0.01 2.10 4.23 1.07 1.61 2.63 4.96 3.07 1.71 1.67 1.66 1.45 0.01 0.13 0.00 0.01 0.02 0.09 0.02 0.00 0.00 0.00 0.00 0.33 1.68 0.18 0.22 0.49 1.20 0.39 0.30 0.29 0.30 0.15 2.72 7.62 1.46 2.02 3.63 7.29 3.93 2.49 2.37 2.44 2.10 0.02 0.04 0.03 0.02 0.03 0.04 0.03 0.04 0.04 0.03 0.02 1.77 1.20 1.50 1.06 1.18 1.04 1.08 1.44 1.98 1.07 1.27 0.78 0.36 0.92 0.45 0.50 0.52 0.32 0.45 0.70 0.32 0.29 0.69 0.50 0.40 0.73 0.56 0.78 0.41 0.59 0.96 0.37 0.63 0.04 0.07 0.06 0.04 0.06 0.06 0.06 0.04 0.04 0.04 0.01 0.10 0.24 0.24 0.06 0.13 0.23 0.19 0.10 0.11 0.09 0.02 2.79 1.52 1.92 2.38 1.95 2.07 1.40 2.04 2.26 1.79 1.39 0.12 0.13 0.13 0.08 0.10 0.15 0.12 0.12 0.13 0.12 0.05 0.04 0.03 0.07 0.04 0.04 0.03 0.03 0.03 0.02 0.03 0.01 0.55 0.38 0.37 0.27 0.31 0.58 0.48 0.34 0.40 0.30 0.17 0.42 0.27 0.18 0.46 0.27 0.50 0.26 0.33 0.51 0.18 0.65 0.05 0.06 0.04 0.03 0.03 0.06 0.04 0.04 0.05 0.04 0.01 0.38 0.22 0.22 0.32 0.24 0.39 0.21 0.27 0.28 0.23 0.36 4.70 2.68 2.89 4.13 3.37 5.18 2.21 2.99 3.38 2.46 3.15 5.46 2.03 3.84 5.58 4.72 4.43 3.08 3.56 5.55 2.41 3.02 0.43 0.41 1.56 0.31 0.57 0.33 0.59 0.53 0.61 0.46 0.41 0.35 0.38 0.21 0.33 0.28 0.55 0.35 0.25 0.30 0.21 0.14 0.03 0.02 0.02 0.02 0.02 0.03 0.02 0.03 0.04 0.03 0.02 0.24 0.23 0.46 0.27 0.21 0.27 0.15 0.32 0.28 0.32 0.14 0.29 0.40 0.16 0.27 0.25 0.39 0.40 0.23 0.27 0.19 0.19 2.78 1.87 4.44 2.64 3.05 3.02 2.04 3.07 4.27 2.14 3.41 9.05 3.87 7.53 8.11 6.50 8.26 5.37 7.39 8.72 5.64 11.83 1.41 1.76 1.48 2.18 1.57 1.17 1.59 2.68 2.14 2.88 1.90 0.06 0.10 0.04 0.03 0.05 0.08 0.07 0.05 0.08 0.04 0.02 0.09 0.15 0.04 0.07 0.09 0.16 0.09 0.06 0.07 0.05 0.02 0.04 0.02 0.04 0.04 0.04 0.04 0.03 0.06 0.06 0.05 0.07 0.01 0.03 0.02 0.02 0.03 0.04 0.04 0.02 0.01 0.02 0.00 (continued) 124 Global Purchasing Power Parities and Real Expenditures TABLE 10 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication CIS Malta 0.01 0.02 0.02 0.01 0.02 0.02 0.02 0.01 0.02 0.02 Mexico 2.14 2.46 4.10 2.71 1.44 1.69 3.90 1.29 3.95 1.16 Montenegro 0.01 0.01 0.02 0.02 0.01 0.02 0.01 0.01 0.00 0.02 Netherlands 1.03 0.99 0.77 0.92 0.97 0.91 1.18 0.83 0.68 1.56 New Zealand 0.18 0.20 0.17 0.25 0.17 0.21 0.22 0.15 0.24 0.20 Norway 0.40 0.30 0.21 0.24 0.28 0.35 0.34 0.29 0.25 0.40 Poland 0.94 1.05 1.30 2.17 0.51 1.73 0.72 0.98 0.49 0.74 Portugal 0.38 0.43 0.47 0.58 0.59 0.36 0.54 0.40 0.41 0.39 Romania 0.37 0.42 0.61 0.70 0.19 0.57 0.34 0.43 0.41 0.19 Russian Federationg 3.09 3.03 4.46 7.43 3.02 3.19 1.67 2.75 2.21 3.12 Serbia 0.12 0.13 0.18 0.27 0.06 0.24 0.08 0.12 0.06 0.27 Slovak Republic 0.16 0.16 0.16 0.26 0.09 0.28 0.12 0.15 0.07 0.11 Slovenia 0.08 0.08 0.07 0.15 0.07 0.09 0.08 0.07 0.09 0.11 Spain 2.15 2.23 2.21 2.89 2.41 1.80 2.11 1.96 2.00 1.99 Sweden 0.53 0.53 0.35 0.48 0.46 0.65 0.44 0.45 0.41 0.79 Switzerland 0.48 0.46 0.33 0.83 0.46 0.47 0.49 0.44 0.35 0.53 Turkey 1.02 1.10 1.54 1.28 1.15 2.40 1.44 0.34 0.75 1.18 United Kingdom 3.46 4.06 2.29 3.11 4.72 4.22 4.28 3.04 3.96 3.79 United States 22.51 25.44 14.22 20.20 28.56 23.03 27.69 23.93 35.90 16.79 Total 66.34 70.71 53.96 77.14 70.72 73.35 76.44 63.79 79.65 64.10 South America Argentina 0.76 0.77 1.11 1.45 0.60 0.74 0.62 0.88 0.60 1.42 Bolivia 0.06 0.07 0.11 0.04 0.03 0.07 0.07 0.07 0.10 0.04 Brazil 2.88 2.82 3.19 4.24 1.90 2.41 2.96 3.37 2.44 4.23 Chile 0.36 0.32 0.36 0.43 0.42 0.35 0.40 0.30 0.37 0.25 Colombia 0.48 0.49 0.66 0.81 0.37 0.57 0.48 0.57 0.38 0.49 Ecuador 0.16 0.16 0.24 0.14 0.18 0.11 0.22 0.14 0.20 0.25 Paraguay 0.04 0.05 0.11 0.05 0.06 0.06 0.05 0.03 0.04 0.05 Peru 0.32 0.33 0.56 0.23 0.39 0.23 0.30 0.21 0.24 0.27 Uruguay 0.06 0.06 0.08 0.10 0.06 0.07 0.07 0.07 0.06 0.08 Venezuela, R. B. 0.48 0.38 0.54 0.64 0.20 0.37 0.30 0.32 0.35 0.72 Total 5.60 5.48 6.96 8.13 4.20 4.97 5.48 5.94 4.78 7.78 West Asia Bahrain 0.04 0.02 0.04 0.01 0.04 0.01 0.06 0.02 0.04 0.02 Egypt, Arab Rep.e 0.64 0.71 1.50 0.49 1.00 0.57 0.55 0.67 0.33 0.30 Iraq 0.16 0.14 0.26 0.03 0.16 0.08 0.31 0.34 0.16 0.04 Jordan 0.04 0.06 0.12 0.07 0.08 0.03 0.05 0.05 0.07 0.09 Kuwait 0.20 0.09 0.14 0.01 0.14 0.06 0.36 0.05 0.21 0.09 Tables of Results 125 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.02 0.01 0.04 0.02 0.02 0.02 0.02 0.01 0.01 0.01 0.01 0.96 3.55 2.75 1.82 2.46 2.01 1.32 1.46 1.80 1.33 0.20 0.00 0.01 0.00 0.01 0.01 0.01 0.03 0.01 0.00 0.01 0.00 1.27 0.70 0.66 1.68 0.89 1.37 0.91 0.81 1.02 0.57 1.32 0.33 0.15 0.27 0.15 0.19 0.21 0.14 0.17 0.25 0.13 0.14 0.45 0.22 0.19 0.33 0.27 0.44 0.25 0.35 0.45 0.22 0.72 0.91 1.30 0.35 1.11 0.94 1.48 0.92 0.65 0.69 0.59 0.51 0.43 0.30 0.71 0.40 0.42 0.42 0.33 0.40 0.33 0.36 0.63 0.25 0.50 0.32 0.16 0.38 0.58 0.52 0.28 0.33 0.26 0.10 2.10 4.23 1.07 1.61 2.63 4.96 3.07 1.71 1.67 1.66 1.45 0.08 0.14 0.04 0.10 0.12 0.21 0.13 0.07 0.08 0.07 0.04 0.18 0.18 0.16 0.13 0.15 0.20 0.22 0.13 0.18 0.11 0.09 0.10 0.07 0.08 0.07 0.07 0.10 0.07 0.10 0.11 0.09 0.05 2.68 1.60 5.93 2.07 2.13 2.41 1.58 2.65 2.32 2.17 5.06 0.71 0.52 0.30 0.71 0.43 0.96 0.40 0.38 0.75 0.17 0.68 0.62 0.31 0.61 0.55 0.48 0.25 0.21 0.49 0.99 0.25 0.53 0.32 1.13 0.63 0.55 1.10 0.79 1.22 0.75 1.05 0.62 0.00 6.38 2.02 5.93 5.18 3.83 4.28 2.75 2.59 3.73 1.61 4.69 34.59 13.86 33.27 31.42 28.87 9.70 18.88 20.67 23.89 15.21 34.10 85.10 49.80 82.11 77.97 71.56 60.81 53.60 60.74 72.90 46.97 79.51 0.47 0.52 0.62 0.49 0.80 0.50 0.70 0.60 0.46 0.68 0.19 0.01 0.18 0.07 0.01 0.07 0.18 0.08 0.02 0.01 0.03 0.01 1.28 2.73 1.99 2.98 2.74 3.71 4.92 1.98 1.92 1.64 1.61 0.17 0.30 0.15 0.23 0.33 0.24 0.26 0.34 0.28 0.37 0.03 0.17 0.52 0.56 0.23 0.49 0.55 0.72 0.38 0.23 0.48 0.17 0.09 0.17 0.07 0.05 0.16 0.16 0.14 0.15 0.10 0.20 0.03 0.03 0.05 0.03 0.02 0.05 0.04 0.03 0.02 0.02 0.03 0.00 0.17 0.37 0.38 0.27 0.35 0.18 0.24 0.25 0.11 0.36 0.23 0.03 0.04 0.04 0.03 0.06 0.04 0.05 0.03 0.03 0.03 0.01 0.15 0.47 0.46 0.18 0.38 0.41 0.42 0.30 0.28 0.28 0.14 2.56 5.36 4.36 4.50 5.42 6.01 7.57 4.07 3.45 4.10 2.43 0.01 0.03 0.01 0.02 0.02 0.03 0.03 0.04 0.03 0.06 0.00 0.17 1.54 0.20 0.43 0.68 0.94 1.04 0.36 0.26 0.48 0.12 0.01 0.26 0.01 0.03 0.12 0.38 0.74 0.07 0.09 0.03 0.10 0.01 0.11 0.01 0.02 0.05 0.08 0.08 0.07 0.06 0.07 0.08 0.05 0.11 0.03 0.05 0.09 0.10 0.22 0.20 0.08 0.33 0.00 (continued) 126 Global Purchasing Power Parities and Real Expenditures TABLE 10 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household domestic individual nonalcoholic tobacco, and and gas, and equipment, and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication West Asia, cont. Lebanon 0.07 0.08 0.18 0.07 0.07 0.05 0.11 0.08 0.09 0.03 Oman 0.09 0.05 0.09 0.01 0.08 0.03 0.07 0.03 0.09 0.06 Qatar 0.10 0.03 0.04 0.00 0.05 0.01 0.06 0.03 0.09 0.05 Saudi Arabia 0.89 0.43 0.61 0.08 0.74 0.25 1.11 0.39 0.58 0.22 Syrian Arab Republic 0.14 0.15 0.39 0.01 0.23 0.14 0.09 0.17 0.05 0.01 Yemen, Rep. 0.08 0.08 0.19 0.08 0.16 0.06 0.06 0.06 0.04 0.01 Total 2.46 1.84 3.56 0.88 2.74 1.28 2.83 1.88 1.74 0.92 WORLD 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Tables of Results 127 Individual Individual Collective Recreation Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery and and goods and expenditure expenditure expenditure capital and Other culture Education hotels services by households by government by government formationc equipment Construction products 0.03 0.22 0.03 0.05 0.08 0.06 0.11 0.10 0.04 0.12 0.18 0.02 0.06 0.01 0.06 0.05 0.06 0.18 0.10 0.11 0.06 0.17 0.02 0.05 0.01 0.02 0.03 0.05 0.10 0.21 0.24 0.17 0.07 0.16 0.76 0.19 0.16 0.39 0.87 1.25 0.94 0.90 0.82 0.84 0.03 0.28 0.03 0.01 0.14 0.21 0.16 0.15 0.12 0.17 0.00 0.01 0.16 0.02 0.05 0.08 0.12 0.13 0.09 0.05 0.13 0.02 0.52 3.60 0.54 0.89 1.73 2.90 4.03 2.33 1.97 2.45 1.58 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Refer to appendix F regarding comparability between regions. c. GFCF was estimated where one or more of its components were suppressed. For more details, refer to appendix F. d. Burundi: Submitted prices, but did not provide official national accounts data. e. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. f. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. g. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. 128 Global Purchasing Power Parities and Real Expenditures 2005 ICP GLOBAL RESULTS: DETAILED TABLES TABLE 11 Nominal expenditures—item shares, percent Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuelsb maintenance Health Transport Communication culture Africa Angola 100.0 27.0 11.0 1.2 1.3 2.4 1.5 1.5 1.4 0.2 0.6 Benin 100.0 80.6 36.1 2.0 7.6 8.6 2.6 2.4 6.1 1.4 1.8 Botswana 100.0 32.2 7.1 2.8 2.0 2.9 2.4 2.1 4.2 0.9 0.8 Burkina Faso 100.0 75.1 31.5 6.9 2.5 7.0 6.4 2.1 5.9 0.8 1.4 Burundib … … … … … … … … … … … Cameroon 100.0 74.7 32.0 1.9 7.3 6.5 7.7 1.7 5.2 0.9 1.2 Cape Verde 100.0 87.2 25.1 1.5 3.0 23.5 4.2 3.1 5.3 2.6 2.7 Central African Republic 100.0 91.8 56.0 8.8 7.6 4.9 5.0 1.7 3.5 0.8 1.7 Chad 100.0 59.8 33.0 0.9 1.0 1.4 4.3 0.8 11.7 0.5 2.8 Comoros 100.0 92.4 63.8 1.4 5.1 13.7 0.3 1.4 0.8 1.0 0.4 Congo, Dem. Rep. 100.0 69.0 42.9 1.4 3.5 8.2 1.9 2.8 2.4 0.6 0.6 Congo, Rep. 100.0 30.9 11.7 1.2 0.8 4.1 1.1 1.9 2.5 1.5 0.7 Côte d’Ivoire 100.0 72.2 30.8 2.3 2.5 6.9 6.0 3.0 7.9 2.1 2.5 Djibouti 100.0 65.7 22.3 8.6 1.7 10.8 4.6 2.8 5.2 0.3 0.2 Egypt, Arab Rep.c 100.0 76.9 32.7 2.1 6.1 10.1 2.9 3.8 3.1 2.0 2.0 Equatorial Guinea 100.0 30.2 11.9 0.7 1.6 4.3 1.2 2.2 2.5 1.2 0.5 Ethiopia 100.0 82.5 45.0 0.7 5.1 14.4 5.9 1.8 1.8 0.2 0.5 Gabon 100.0 36.3 12.6 0.7 1.8 5.1 1.1 2.3 2.2 1.4 0.9 Gambia, The 100.0 96.3 35.4 0.9 8.2 4.0 3.6 7.4 2.4 1.8 5.8 Ghana 100.0 79.6 39.1 1.7 7.3 5.3 5.1 4.5 4.7 0.2 2.4 Guinea 100.0 70.2 30.4 1.4 4.7 5.2 3.8 8.3 5.4 0.2 0.8 Guinea-Bissau 100.0 82.8 43.2 1.4 6.9 11.2 6.0 2.3 5.4 0.4 3.2 Kenya 100.0 85.9 30.1 2.8 2.7 6.6 4.1 7.0 10.6 2.5 5.3 Lesotho 100.0 106.1 37.6 3.7 13.3 7.8 7.0 7.7 6.1 1.9 1.7 Liberia 100.0 60.2 15.5 2.4 7.4 10.8 3.1 3.2 1.4 2.1 1.0 Madagascar 100.0 75.6 44.1 2.4 3.1 11.0 3.6 3.4 2.4 0.3 0.5 Malawi 100.0 89.3 20.8 1.3 2.1 12.2 2.1 11.9 12.6 1.6 7.1 Mali 100.0 74.5 34.8 1.2 3.6 8.3 4.7 3.3 7.4 0.7 2.3 Mauritania 100.0 74.4 46.7 0.7 4.2 3.9 2.7 3.0 4.2 0.8 1.0 Mauritius 100.0 74.7 18.2 5.3 3.7 15.5 4.9 4.1 8.5 1.9 4.1 Morocco 100.0 64.6 22.3 2.0 3.6 9.3 3.1 3.8 6.3 3.6 2.3 Mozambique 100.0 72.7 43.3 2.3 4.3 4.9 1.9 3.4 2.9 0.1 1.5 Namibia 100.0 62.3 17.3 1.8 3.4 8.1 3.4 5.6 6.4 0.5 1.8 Niger 100.0 76.9 35.8 1.8 5.5 6.5 3.7 3.5 6.1 0.6 4.0 Nigeria 100.0 71.6 40.6 0.7 4.2 8.1 5.0 2.2 3.4 0.2 0.9 Rwanda 100.0 80.1 34.3 10.6 2.7 11.4 4.1 2.8 4.1 0.4 1.0 São Tomé and Principe 100.0 96.0 51.2 4.2 3.7 8.6 3.2 5.2 9.2 1.2 1.4 Tables of Results 129 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 1.5 0.8 3.6 0.0 25.1 2.0 13.5 34.1 11.1 23.0 0.0 0.0 25.4 3.8 6.5 3.9 -2.2 77.0 3.5 8.3 19.4 6.4 12.7 0.3 -1.2 -7.0 5.3 0.1 1.6 0.0 27.9 4.3 17.5 19.7 9.2 10.1 0.4 16.1 14.5 3.3 4.2 3.1 0.0 72.1 3.0 18.0 20.0 6.7 11.1 2.1 0.5 -13.7 … … … … … … … … … … … … … 3.0 4.5 1.7 1.0 72.3 2.5 6.9 17.6 8.5 8.9 0.2 1.7 -1.0 10.2 2.4 3.6 0.0 82.9 4.4 6.6 33.2 12.4 20.2 0.6 -0.6 -26.4 3.4 1.9 3.1 -6.7 89.8 2.1 6.7 9.8 2.6 5.6 1.6 0.0 -8.3 1.1 0.3 2.2 -0.2 58.8 1.1 6.4 20.3 5.1 10.7 4.5 4.9 8.7 3.8 0.0 0.0 0.5 92.1 0.2 10.4 8.8 3.9 4.4 0.4 1.8 -13.3 2.1 1.0 1.7 0.0 68.6 0.4 9.0 20.2 0.8 14.5 4.9 1.2 0.6 2.5 2.4 1.0 -0.3 28.5 2.4 7.6 18.7 3.0 15.5 0.2 0.4 42.3 2.8 1.0 3.3 1.1 69.4 2.8 10.8 9.0 3.2 5.4 0.4 2.1 6.0 5.2 2.7 1.8 -0.6 60.1 5.6 18.6 16.1 4.7 10.7 0.8 0.1 -0.6 5.9 2.4 5.3 -1.6 73.1 3.8 7.1 16.8 7.8 8.6 0.5 0.6 -1.6 1.2 1.1 1.7 0.0 29.8 0.3 1.8 32.4 16.6 10.6 5.2 -0.5 36.1 2.9 1.8 3.6 -1.0 80.4 2.1 12.0 21.0 6.6 13.9 0.5 0.2 -15.7 3.7 1.0 1.8 1.7 33.1 3.2 6.6 22.9 9.8 9.2 3.9 0.3 33.9 22.6 0.4 3.9 0.0 84.6 11.7 25.4 20.6 10.3 8.3 1.9 5.7 -48.0 6.5 0.0 2.8 0.0 77.3 2.3 5.4 31.4 22.1 8.1 1.2 0.0 -16.5 4.7 1.4 2.7 1.1 68.2 2.0 3.3 27.6 12.2 13.9 1.5 2.0 -3.1 1.9 0.4 0.4 0.0 81.7 1.1 21.4 15.6 6.9 8.1 0.6 4.9 -24.6 10.7 4.1 4.0 -4.6 77.9 8.0 8.1 18.6 9.9 8.6 0.1 -1.8 -10.7 14.1 0.2 4.9 0.2 97.1 9.0 8.1 35.1 4.4 30.7 0.0 0.2 -49.5 8.7 0.4 4.1 0.1 57.7 2.5 14.0 25.8 22.8 2.9 0.0 14.0 -14.0 4.5 1.0 0.9 -1.7 71.8 3.9 14.2 24.0 12.5 10.7 0.7 2.2 -16.0 6.5 1.7 9.2 0.3 89.1 0.3 8.2 17.0 7.3 9.7 0.0 2.0 -16.5 4.6 1.4 2.2 0.0 71.6 2.9 11.4 15.4 11.4 4.1 0.0 6.6 -7.9 3.0 0.7 2.5 0.9 71.0 3.4 15.6 59.9 23.4 34.8 1.7 6.8 -56.7 6.0 2.2 3.6 -3.1 69.4 5.3 8.8 21.4 8.8 12.7 0.0 1.1 -6.0 7.5 4.1 3.7 -7.0 57.2 7.4 11.2 28.5 11.8 14.8 1.9 1.7 -6.1 5.4 0.3 1.6 0.6 69.1 3.6 9.3 28.1 9.2 19.0 0.0 1.8 -11.9 9.6 2.9 6.0 -4.4 53.4 8.9 15.3 24.5 11.1 12.3 1.2 1.4 -3.5 2.7 4.0 2.9 -0.2 74.6 2.2 12.9 21.0 8.6 11.8 0.6 2.1 -12.9 3.1 0.5 2.6 0.0 69.9 1.7 4.0 11.9 10.3 1.6 0.0 0.0 12.4 5.5 1.4 2.1 -0.3 76.2 3.9 12.3 22.7 9.0 13.6 0.0 0.9 -16.0 4.5 1.2 1.9 0.6 93.8 2.2 9.7 22.5 10.8 10.1 1.6 2.0 -30.3 (continued) 130 Global Purchasing Power Parities and Real Expenditures TABLE 11 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture Africa, cont. Senegal 100.0 80.5 40.4 2.5 4.3 8.2 5.1 4.3 3.2 4.4 1.9 Sierra Leone 100.0 99.2 42.1 2.8 7.2 6.5 2.5 14.2 2.7 2.5 3.1 South Africa 100.0 71.7 12.9 3.7 3.7 8.2 4.9 8.0 11.0 1.5 3.0 Sudan 100.0 79.8 44.1 1.2 3.7 11.3 4.6 1.6 6.5 0.1 2.3 Swaziland 100.0 69.9 29.3 0.6 4.3 9.5 4.9 5.1 4.8 0.9 2.3 Tanzania 100.0 81.5 56.1 2.6 5.6 5.9 3.6 0.9 3.2 0.1 0.8 Togo 100.0 100.8 49.5 4.3 5.3 6.7 2.7 3.8 16.3 2.1 2.0 Tunisia 100.0 70.1 18.7 2.7 6.5 9.8 5.4 4.5 6.8 0.7 1.8 Uganda 100.0 82.2 28.8 5.0 2.5 14.5 5.1 4.5 5.1 1.6 2.0 Zambia 100.0 73.9 8.3 0.1 3.9 20.5 4.9 8.7 9.6 0.3 8.3 Zimbabwe 100.0 89.9 40.4 2.9 13.0 15.1 5.6 1.3 3.9 0.4 2.2 Total 100.0 70.6 26.2 2.4 4.2 8.5 4.3 4.6 6.5 1.3 2.2 Asia-Pacific Bangladesh 100.0 77.7 38.8 1.8 4.5 13.5 2.9 2.8 3.2 0.4 0.6 Bhutan 100.0 52.9 18.3 1.4 3.4 8.8 2.9 6.8 1.0 0.2 1.8 Brunei Darussalam 100.0 28.6 5.3 0.2 1.3 3.5 1.3 1.5 4.3 1.6 2.2 Cambodia 100.0 86.0 40.6 3.3 1.6 10.8 1.5 6.6 6.2 0.2 2.1 China d 100.0 43.0 10.4 0.9 2.7 6.3 1.7 2.7 1.7 1.8 2.0 Hong Kong, China 100.0 61.7 5.5 0.4 6.1 11.0 3.1 5.2 3.9 1.8 7.1 Macao, China 100.0 30.8 4.1 0.3 1.5 4.3 0.7 2.5 2.7 1.7 4.7 Taiwan, China 100.0 66.1 9.8 1.5 2.4 10.0 3.7 5.5 6.7 2.1 5.5 Fiji 100.0 83.0 21.8 2.5 1.9 21.4 7.9 4.6 6.3 0.3 4.1 India 100.0 63.4 21.4 1.4 3.3 7.7 1.8 4.6 9.7 1.0 1.2 Indonesia 100.0 67.2 28.0 1.3 2.4 13.6 1.8 2.0 4.4 1.2 1.2 Iran, Islamic Rep. 100.0 55.8 13.0 0.4 3.5 13.7 3.1 4.7 5.2 1.4 2.0 Lao PDR 100.0 62.9 29.8 3.5 1.1 7.8 1.8 1.9 6.6 0.3 1.9 Malaysia 100.0 51.2 8.8 0.8 1.1 8.9 2.4 2.5 6.5 2.7 2.1 Maldives 100.0 53.8 12.3 1.1 1.9 16.0 1.9 5.1 1.8 1.7 1.9 Mongolia 100.0 62.3 22.3 1.4 6.7 10.5 2.3 3.3 3.9 1.2 2.0 Nepal 100.0 84.7 41.3 2.7 5.3 11.7 1.9 7.5 3.3 0.2 0.9 Pakistan 100.0 79.7 38.9 0.7 6.0 10.9 1.9 5.8 4.1 1.5 2.1 Philippines 100.0 72.8 32.0 1.4 1.6 10.2 1.4 2.5 4.0 2.9 0.8 Singapore 100.0 44.9 3.7 1.0 1.6 6.4 2.7 3.8 7.4 1.1 5.5 Sri Lanka 100.0 76.3 27.8 3.1 7.0 5.7 4.8 2.6 12.8 0.7 2.8 Thailand 100.0 63.1 10.0 2.8 4.4 4.5 3.8 5.3 9.2 0.8 3.7 Vietnam 100.0 62.9 19.7 1.4 2.2 9.5 3.0 5.1 6.0 0.5 3.0 Total 100.0 54.0 14.6 1.1 3.0 8.1 2.1 3.6 4.5 1.6 2.4 Tables of Results 131 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 4.2 0.8 3.1 -2.0 76.0 4.5 8.7 22.4 5.3 16.3 0.8 2.7 -14.4 9.8 1.1 4.7 0.0 94.3 4.9 13.7 11.8 7.3 4.3 0.2 0.3 -25.0 7.4 1.7 7.3 -1.4 63.8 7.9 10.9 17.1 10.0 7.1 0.0 1.2 -0.9 1.3 0.1 2.4 0.5 79.4 0.4 5.9 20.6 11.0 9.7 0.0 4.1 -10.5 5.8 0.4 1.9 0.0 65.8 4.1 9.6 23.4 6.4 15.7 1.3 1.3 -4.2 1.3 0.0 1.6 0.0 80.6 0.9 6.3 21.9 9.4 12.0 0.5 0.2 -10.0 4.0 2.4 2.8 -1.1 97.8 3.0 9.9 16.5 5.0 10.7 0.8 0.5 -27.7 4.6 9.6 4.4 -5.4 64.2 5.9 8.5 22.3 6.4 15.2 0.6 -0.3 -0.6 9.2 2.5 1.5 0.0 77.3 5.0 8.6 22.7 6.2 16.5 0.0 0.3 -13.8 5.6 0.0 3.7 0.0 67.2 6.7 9.6 27.2 16.1 11.1 0.0 1.1 -11.9 3.6 0.3 1.3 0.0 87.3 2.6 6.5 5.9 3.8 2.1 0.0 1.5 -3.7 5.4 2.0 4.5 -1.4 65.8 4.8 8.9 19.1 9.5 9.1 0.5 1.2 0.2 4.4 1.7 3.1 0.0 75.9 1.7 3.9 25.0 6.3 18.4 0.3 0.0 -6.6 3.2 0.0 5.1 0.0 40.7 12.2 10.0 53.2 13.5 38.7 1.0 0.3 -16.4 4.6 1.5 1.6 0.0 23.6 5.0 14.4 11.9 3.6 7.5 0.8 0.0 45.1 5.2 4.1 3.9 0.0 81.2 4.8 3.8 11.7 5.7 5.9 0.1 0.5 -2.0 4.2 2.2 6.4 0.0 38.0 5.0 8.9 41.5 11.5 27.6 2.4 1.1 5.5 4.7 5.7 7.2 0.0 58.2 3.6 5.2 20.9 10.8 9.1 1.0 -0.3 12.5 2.6 3.8 2.0 0.0 27.1 3.7 5.3 26.6 6.2 20.0 0.4 0.7 36.6 7.1 5.0 6.7 0.0 61.5 4.6 8.5 21.0 10.9 8.3 1.8 0.3 4.1 6.1 2.4 3.7 0.0 75.8 7.2 7.9 25.5 12.3 9.6 3.6 1.1 -17.5 3.6 1.2 6.6 0.0 58.8 4.6 7.0 28.5 13.1 14.8 0.7 4.2 -3.0 3.7 4.1 3.6 0.0 64.2 3.0 4.9 23.3 4.0 18.6 0.7 0.3 4.2 4.3 0.9 3.7 0.0 50.4 5.4 6.4 21.5 13.1 7.8 0.7 11.1 5.3 4.3 1.9 2.0 0.0 59.5 3.5 11.6 33.3 10.9 15.6 6.8 1.9 -9.7 4.6 3.9 6.9 0.0 44.9 6.3 6.1 20.6 12.7 7.3 0.6 -0.4 22.4 7.6 0.6 2.0 0.0 44.8 9.0 13.3 53.5 18.4 21.0 14.1 0.0 -20.6 6.5 0.3 1.8 0.0 55.0 7.2 5.0 30.1 14.8 8.8 6.4 6.5 -3.9 3.9 2.0 4.0 0.0 81.7 3.0 5.8 19.6 2.6 12.7 4.3 6.6 -16.7 3.6 0.5 3.6 0.0 76.2 3.5 6.0 18.9 8.1 9.4 1.4 1.6 -6.1 6.6 2.3 7.3 0.0 69.4 3.4 6.2 14.4 6.5 6.7 1.2 10.8 -4.2 3.6 3.4 4.8 0.0 41.4 3.5 7.2 22.0 12.0 9.5 0.5 -3.2 29.1 2.2 1.3 5.5 0.0 69.5 6.8 6.0 23.7 9.5 13.6 0.6 3.1 -9.1 5.6 9.4 3.5 0.0 56.5 6.6 7.1 28.6 19.6 8.9 0.2 2.5 -1.3 5.8 4.2 2.2 0.0 58.0 4.8 6.1 32.5 10.6 19.2 2.7 2.7 -4.1 4.4 2.8 5.9 0.0 49.3 4.7 7.7 32.0 11.3 19.1 1.6 2.0 4.3 (continued) 132 Global Purchasing Power Parities and Real Expenditures TABLE 11 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture CIS Armenia 100.0 79.6 51.5 2.7 2.4 5.7 1.4 4.0 2.6 0.9 1.1 Azerbaijan 100.0 47.5 29.4 0.9 2.7 2.9 2.6 2.4 2.8 0.7 1.1 Belarus 100.0 64.3 21.9 2.9 3.7 7.2 2.1 5.7 3.9 2.3 2.7 Georgia 100.0 74.6 23.1 4.0 1.9 8.9 2.1 8.3 9.4 3.1 3.8 Kazakhstan 100.0 55.3 10.5 1.6 4.9 14.4 1.6 5.4 4.7 1.1 2.7 Kyrgyz Republic 100.0 93.3 38.4 7.8 7.5 6.6 2.8 3.9 8.6 2.5 2.3 Moldova 100.0 102.3 24.5 7.8 4.5 15.5 7.1 4.9 10.0 4.7 6.3 Russian Federatione 100.0 57.4 14.3 3.4 5.2 5.4 2.3 4.3 6.1 2.4 3.5 Tajikistan 100.0 89.3 45.8 0.6 4.3 8.5 2.5 3.1 7.3 1.7 1.7 Ukraine 100.0 69.5 22.4 3.6 3.0 6.2 2.3 6.1 7.6 2.6 3.7 Total 100.0 59.0 15.6 3.3 4.9 6.1 2.2 4.6 6.1 2.3 3.4 OECD-Eurostat Albania 100.0 79.9 20.6 4.0 3.8 16.0 4.5 4.7 9.9 3.4 4.6 Australia 100.0 65.9 5.7 2.3 2.1 12.2 3.7 7.9 6.7 1.6 6.8 Austria 100.0 67.4 6.1 1.7 3.7 11.7 4.3 6.9 7.6 1.5 7.2 Belgium 100.0 66.7 6.8 1.8 2.7 11.6 2.8 8.5 7.5 1.1 5.1 Bosnia and Herzegovina 100.0 101.0 30.0 6.0 5.4 14.0 6.8 8.8 8.0 2.6 4.4 Bulgaria 100.0 78.4 16.1 2.7 2.4 14.9 2.9 6.5 13.3 4.5 4.3 Canada 100.0 66.9 5.1 2.1 2.5 12.8 3.3 7.8 7.7 1.3 6.1 Croatia 100.0 68.0 15.9 3.2 3.8 12.2 6.1 7.8 7.5 2.4 6.4 Cyprus 100.0 73.1 11.7 4.6 4.8 11.0 4.2 5.1 10.9 1.5 6.6 Czech Republic 100.0 59.9 8.2 4.0 2.5 11.3 2.7 6.6 5.8 1.8 6.6 Denmark 100.0 65.6 5.3 1.8 2.3 12.7 2.8 7.2 6.5 1.0 6.1 Estonia 100.0 63.9 10.4 4.6 4.2 10.9 3.2 5.2 7.2 1.7 6.0 Finland 100.0 66.3 6.2 2.5 2.4 12.5 2.7 7.8 6.4 1.4 6.5 France 100.0 72.4 7.7 1.7 2.7 14.4 3.3 8.8 8.3 1.6 6.4 Germany 100.0 70.1 6.3 2.0 3.0 13.6 3.9 8.7 7.7 1.5 5.7 Greece 100.0 72.8 10.8 3.3 7.2 11.0 4.4 6.4 6.1 1.7 4.4 Hungary 100.0 67.6 9.2 4.6 2.0 10.1 3.7 7.5 8.7 2.5 5.4 Iceland 100.0 76.2 6.5 2.2 2.5 11.2 3.6 9.2 9.8 1.4 8.0 Ireland 100.0 56.0 2.6 2.3 2.3 9.2 3.0 5.6 5.4 1.5 3.8 Israel 100.0 68.0 8.8 1.4 1.9 13.2 3.9 6.6 6.6 2.2 5.3 Italy 100.0 70.9 8.9 1.6 4.7 12.3 4.6 8.5 8.0 1.7 4.5 Japan 100.0 67.3 8.2 1.7 1.9 13.6 3.2 7.7 6.0 1.8 5.2 Korea, Rep. 100.0 58.6 7.9 1.2 2.2 8.7 2.1 4.8 5.6 2.8 3.8 Latvia 100.0 71.0 13.4 4.2 4.3 12.7 2.2 5.3 6.8 2.5 5.8 Lithuania 100.0 75.2 17.5 4.3 5.4 9.3 3.7 6.9 9.8 1.7 4.9 Luxembourg 100.0 48.5 2.9 3.3 1.2 6.6 2.3 4.5 5.8 0.4 3.2 Macedonia, FYR 100.0 85.9 26.2 2.6 4.7 15.2 3.3 5.8 7.6 5.6 2.0 Tables of Results 133 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 3.8 0.5 2.5 0.5 75.4 4.1 6.4 29.8 3.8 25.7 0.2 -2.6 -13.2 3.2 1.0 1.0 -3.3 41.7 5.2 5.2 41.2 23.4 10.8 7.1 -3.9 10.0 6.5 1.3 2.8 1.2 50.6 12.3 8.5 26.4 11.9 14.3 0.2 0.2 0.7 3.1 4.5 1.1 1.1 68.5 5.6 9.2 28.9 12.4 15.6 0.9 5.6 -18.4 5.2 1.5 2.5 -0.9 48.6 5.4 5.8 28.0 8.4 15.6 3.9 2.1 8.8 5.6 2.5 5.4 -0.8 82.7 8.8 8.8 16.0 5.2 10.0 0.8 0.4 -18.5 7.7 1.7 6.5 1.2 92.1 8.9 7.6 24.6 4.2 19.1 1.3 6.2 -40.7 3.2 1.6 4.2 1.6 49.2 7.7 9.0 17.5 6.5 9.7 1.4 2.5 13.6 5.7 0.2 2.0 6.0 79.8 8.1 6.5 11.1 5.6 4.2 1.3 11.6 -18.5 6.7 1.9 3.9 -0.5 57.2 11.2 7.0 22.0 10.2 10.7 1.0 0.7 0.8 3.7 1.6 4.0 1.2 50.3 7.9 8.5 19.3 7.3 10.4 1.5 2.2 11.0 2.9 4.5 4.9 -3.6 75.5 4.3 6.2 40.2 17.2 21.0 2.0 -3.9 -22.4 6.2 4.5 6.6 -0.6 56.0 8.7 9.4 26.2 10.3 14.1 1.8 0.3 -1.9 5.5 6.9 7.2 -2.9 54.3 11.2 6.9 20.4 8.0 11.4 1.0 0.4 4.9 5.9 2.6 9.1 1.1 51.7 14.0 8.7 20.3 9.1 9.5 1.7 0.6 3.7 5.5 6.9 6.8 -4.1 90.8 9.2 10.9 26.9 11.7 14.3 0.9 0.1 -38.8 4.7 6.6 3.6 -4.1 69.7 8.2 9.8 24.2 12.9 10.6 0.7 3.8 -16.2 5.3 3.8 8.8 0.3 54.0 11.6 7.5 21.0 6.3 13.5 1.2 0.7 3.8 5.7 6.2 5.5 -14.7 56.9 10.4 9.4 29.0 10.6 17.2 1.2 1.9 -8.4 6.2 9.5 9.4 -12.3 64.1 8.1 10.0 18.9 5.0 13.4 0.4 0.5 -2.6 4.7 3.3 5.0 -2.4 48.3 11.0 11.1 25.0 10.6 13.0 1.4 0.8 3.2 6.0 2.4 11.6 -0.1 47.8 17.0 8.8 20.4 7.6 9.5 3.4 0.4 4.7 5.0 3.9 5.6 -4.1 52.9 9.5 7.8 31.1 11.5 18.9 0.8 3.5 -6.4 5.4 3.2 9.4 -0.1 49.4 14.6 7.6 19.0 5.2 11.8 2.0 1.6 5.6 5.2 3.5 9.3 -0.5 55.6 15.5 8.3 19.8 5.8 12.2 1.8 0.4 -0.9 4.0 3.0 9.4 1.3 57.5 11.0 7.8 17.4 7.2 9.1 1.1 -0.3 5.0 4.6 13.2 4.6 -4.9 66.8 5.7 10.6 23.7 9.3 12.9 1.5 0.1 -7.2 5.3 2.7 7.4 -1.5 53.3 12.6 9.8 22.7 9.1 12.4 1.3 0.9 -1.1 7.1 4.3 6.9 3.6 57.6 16.6 8.1 28.2 9.3 17.5 1.4 -0.1 -12.4 5.6 6.8 7.5 0.3 43.7 10.4 5.5 26.1 5.3 20.0 0.9 0.1 12.3 8.1 2.8 7.6 -0.4 53.7 12.9 14.0 16.8 7.4 8.2 1.2 0.9 0.3 4.7 5.9 6.7 -1.0 58.6 11.9 8.5 20.6 8.5 9.7 2.4 0.1 -0.1 4.1 4.3 9.1 0.5 55.9 10.1 8.0 23.1 8.6 11.8 2.7 0.2 1.4 6.1 3.9 8.7 0.8 51.5 5.9 8.2 29.3 9.1 18.1 2.1 1.6 2.4 5.7 3.3 3.5 1.3 61.6 8.4 9.0 30.6 15.3 14.4 0.9 3.8 -14.4 5.3 2.0 5.5 -1.0 64.9 10.1 7.0 22.8 8.7 13.1 0.9 2.3 -7.3 4.3 2.3 5.8 5.9 36.9 9.9 6.7 20.0 5.2 12.4 2.4 1.7 23.0 4.7 2.9 4.4 1.0 77.3 8.2 10.7 17.0 6.4 10.0 0.7 3.7 -17.3 (continued) 134 Global Purchasing Power Parities and Real Expenditures TABLE 11 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture OECD-Eurostat, cont. Malta 100.0 76.6 12.1 2.3 4.5 8.1 6.6 6.9 10.3 3.5 8.5 Mexico 100.0 75.2 16.7 1.8 1.9 11.7 5.2 5.3 12.0 1.4 2.3 Montenegro 100.0 79.6 25.1 2.8 4.0 18.0 2.8 5.5 5.1 3.4 2.2 Netherlands 100.0 62.5 5.1 1.4 2.5 11.0 3.0 6.7 5.5 2.2 5.5 New Zealand 100.0 70.5 8.4 3.0 2.7 13.3 3.9 7.4 8.3 1.8 8.4 Norway 100.0 55.1 5.2 1.7 2.2 8.1 2.4 7.3 5.8 1.3 5.9 Poland 100.0 73.1 13.1 4.1 3.0 14.8 2.8 6.4 5.4 2.1 5.2 Portugal 100.0 77.6 10.5 2.4 4.8 9.2 4.5 9.8 9.3 1.9 5.8 Romania 100.0 78.5 19.7 3.4 2.4 15.6 3.4 6.5 11.6 1.4 3.4 Russian Federatione 100.0 57.4 14.3 3.4 5.2 5.4 2.3 4.3 6.1 2.4 3.5 Serbia 100.0 80.7 20.8 3.7 3.1 17.4 3.6 6.6 6.7 2.7 3.6 Slovak Republic 100.0 65.0 10.2 2.9 2.4 14.5 3.0 6.0 4.9 2.0 5.6 Slovenia 100.0 65.5 8.2 2.8 3.2 10.7 3.4 7.4 8.9 2.0 6.2 Spain 100.0 68.3 8.4 1.7 3.3 9.8 3.2 7.5 7.1 1.6 6.2 Sweden 100.0 67.6 5.6 1.6 2.5 13.0 2.4 7.9 6.2 1.5 6.6 Switzerland 100.0 66.9 6.2 2.1 2.4 13.8 2.7 8.9 4.7 1.6 5.7 Turkey 100.0 73.7 17.0 2.8 4.2 17.7 4.6 2.8 8.6 3.0 1.7 United Kingdom 100.0 77.8 5.5 2.3 3.6 11.9 3.5 7.7 9.2 1.4 8.3 United States 100.0 76.8 4.8 1.5 3.2 12.3 3.4 14.0 8.2 1.2 6.6 Total 100.0 71.6 6.9 1.8 3.0 12.4 3.4 9.8 7.6 1.5 5.9 South America Argentina 100.0 65.8 14.8 2.4 2.8 9.5 3.2 7.0 6.0 2.4 4.2 Bolivia 100.0 75.5 20.9 1.2 2.3 9.1 4.0 5.7 13.5 1.6 1.0 Brazil 100.0 67.4 10.4 1.5 2.8 11.0 3.8 8.1 8.0 2.7 2.9 Chile 100.0 62.8 10.2 1.7 4.5 9.7 4.6 6.6 8.5 1.8 2.5 Colombia 100.0 68.7 16.7 2.7 3.0 9.7 3.6 7.3 7.4 1.9 2.4 Ecuador 100.0 71.0 18.4 1.5 4.4 8.1 4.9 5.0 10.0 3.2 4.3 Paraguay 100.0 78.9 25.5 2.0 6.2 9.2 4.1 4.1 9.0 1.9 4.9 Peru 100.0 69.4 20.3 1.3 4.1 5.9 3.6 4.9 5.8 1.7 3.2 Uruguay 100.0 77.5 14.7 2.7 3.8 15.1 4.7 8.8 9.1 2.4 3.4 Venezuela, R. B. 100.0 52.1 13.6 1.5 2.1 5.8 2.7 4.6 4.7 2.4 2.2 Total 100.0 66.0 12.5 1.7 3.0 9.8 3.7 7.2 7.5 2.5 3.0 West Asia Bahrain 100.0 52.4 9.3 0.3 3.4 9.0 4.6 5.5 4.9 1.1 1.7 Egypt, Arab Rep.c 100.0 76.9 32.7 2.1 6.1 10.1 2.9 3.8 3.1 2.0 2.0 Iraq 100.0 56.3 18.1 0.4 2.9 8.9 4.3 8.6 5.2 0.7 0.6 Jordan 100.0 97.2 27.9 3.0 5.2 16.6 3.8 7.5 8.6 3.5 1.6 Kuwait 100.0 38.1 5.6 0.1 3.1 7.0 5.1 2.1 4.7 1.0 1.6 Tables of Results 135 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 5.9 9.8 8.5 -10.3 64.1 10.7 9.4 19.4 6.6 11.2 1.6 0.0 -5.4 6.7 4.9 6.0 -0.6 67.7 6.9 4.6 19.3 8.3 10.8 0.2 2.5 -1.6 3.5 1.0 4.6 1.5 71.4 8.2 22.2 18.3 7.4 9.5 1.4 -2.3 -17.8 4.7 2.5 12.4 0.2 48.2 13.5 10.4 19.0 5.7 11.1 2.2 0.1 8.0 5.3 4.6 6.0 -2.5 58.2 11.0 7.1 23.8 8.9 13.1 1.7 0.7 -2.1 4.2 2.2 7.7 1.2 40.5 12.9 7.2 18.5 6.1 9.3 3.1 2.8 16.4 5.8 1.8 8.9 -0.3 62.1 10.1 8.0 18.2 7.6 9.2 1.5 1.0 -0.3 6.8 6.9 8.2 -2.5 62.7 12.8 8.6 21.6 6.7 11.4 3.4 0.8 -8.6 4.7 3.5 3.2 -0.3 68.2 9.0 9.2 23.1 11.2 11.1 0.9 -0.4 -10.3 3.2 1.6 4.2 1.6 49.2 7.7 9.0 17.5 6.5 9.7 1.4 2.5 13.6 4.3 1.9 6.5 -0.4 69.2 10.5 7.4 17.3 8.2 8.0 1.1 16.2 -21.6 3.8 3.8 6.0 -0.1 56.4 7.6 10.9 26.8 13.2 11.7 1.9 2.4 -5.1 5.8 3.7 6.4 -3.4 53.0 11.5 7.9 25.5 10.0 14.1 1.4 1.8 -0.6 4.6 11.2 6.9 -3.2 56.9 10.6 7.5 29.3 7.1 17.2 5.0 0.1 -5.3 6.9 2.4 11.1 -0.1 46.5 19.4 7.7 17.2 7.4 7.5 2.3 -0.1 7.6 5.3 4.7 9.2 -0.3 58.3 6.6 5.0 21.2 9.7 9.9 1.6 0.4 6.5 4.3 3.0 3.9 0.0 68.3 5.4 7.8 19.8 10.7 9.2 0.0 5.3 -6.7 4.6 7.2 11.7 1.0 61.7 13.6 8.2 17.2 5.8 8.8 2.5 0.4 -3.6 6.5 4.3 10.8 0.0 70.4 6.4 9.5 19.2 5.8 10.8 2.6 0.3 -5.8 5.4 4.5 9.3 0.0 61.2 9.6 8.6 20.4 7.0 11.2 2.2 0.5 -1.1 3.9 4.6 4.9 0.0 61.3 4.4 7.5 21.5 8.5 12.3 0.7 -0.6 5.9 8.4 5.6 2.1 0.0 66.7 8.8 7.3 12.5 5.6 6.3 0.6 1.3 3.4 5.7 2.5 8.0 0.0 60.4 7.0 13.0 16.3 7.9 7.1 1.3 -0.3 3.6 5.7 1.9 5.2 0.0 58.2 4.6 6.3 20.6 8.0 12.5 0.2 1.7 8.5 5.9 4.0 4.0 0.0 61.3 7.4 11.3 20.0 7.6 11.5 0.9 0.7 -0.8 6.3 2.1 2.8 0.0 66.0 5.1 6.3 21.9 8.2 13.3 0.5 2.3 -1.6 4.3 3.3 4.5 0.0 75.1 3.8 6.4 19.3 9.5 9.6 0.3 0.3 -4.9 6.7 5.6 6.3 0.0 66.1 3.3 6.7 18.8 4.9 12.2 1.7 -0.3 5.3 4.3 3.4 5.0 0.0 73.2 4.2 6.8 13.1 6.2 6.5 0.4 0.0 2.6 5.4 4.3 2.9 0.0 47.1 5.0 5.6 20.2 8.8 10.5 1.0 2.4 19.7 5.5 3.1 6.4 0.0 59.8 6.1 10.5 18.0 7.8 9.1 1.1 0.2 5.3 5.7 1.1 2.8 3.2 46.8 5.6 6.5 17.8 5.5 12.2 0.1 0.9 22.4 5.9 2.4 5.3 -1.6 73.1 3.8 7.1 16.8 7.8 8.6 0.5 0.6 -1.6 5.2 0.4 1.1 0.0 46.5 9.9 27.4 9.5 5.8 2.7 1.0 5.8 1.0 11.3 2.8 4.9 0.4 87.9 9.3 9.6 30.6 12.1 15.1 3.4 3.5 -40.9 4.9 0.9 2.1 0.0 32.9 5.2 9.8 14.6 2.7 11.9 0.0 1.8 35.7 (continued) 136 Global Purchasing Power Parities and Real Expenditures TABLE 11 Continued Alcoholic Housing, water, Furnishings, Gross Actual Food and beverages, Clothing electricity, household Recreation domestic individual nonalcoholic tobacco, and and gas, and equipment, and and Economy product consumption beverages narcoticsa footwear other fuels b maintenance Health Transport Communication culture West asia, cont. Lebanon 100.0 90.6 26.1 1.9 5.7 9.4 5.9 7.5 6.8 1.3 2.7 Oman 100.0 40.7 8.8 0.2 2.5 6.9 2.0 2.2 4.9 1.5 0.9 Qatar 100.0 21.9 3.0 0.1 1.4 3.8 1.4 1.9 3.4 1.0 0.7 Saudi Arabia 100.0 36.8 6.5 0.1 2.3 5.2 3.1 3.2 3.4 0.8 1.2 Syrian Arab Republic 100.0 74.2 31.0 0.2 6.5 17.7 2.4 6.1 2.4 0.2 1.0 Yemen, Rep. 100.0 68.9 28.3 1.4 6.0 11.4 2.8 2.6 3.6 0.5 0.9 Total 100.0 48.3 13.2 0.6 3.3 7.4 3.3 3.7 3.9 1.1 1.3 WORLD 100.0 69.0 8.4 1.7 3.0 11.6 3.3 8.8 7.2 1.6 5.3 CATEGORY DEFINITIONS GDP (gross domestic product), expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. value of exports of goods and services, less the f.o.b. value of imports of goods and services. Figures are provided by national authorities participating in ICP and may differ from international organizations’ figures. Actual individual consumption is measured by the total value of household final consumption expenditure, nonprofit institutions (such as NGOs and charities) serving households’ final con- sumption expenditure, and government expenditure on individual consumption of goods and services (such as education or health). Food and nonalcoholic beverages include food products and nonalcoholic beverages purchased for consumption at home; excludes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home; and products sold specifically as pet foods. Alcoholic beverages and tobacco include alcoholic beverages purchased for consumption at home; includes low or nonalcoholic beverages that are generally alcoholic, such as nonalcoholic beer; excludes alcoholic beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth. It also includes all purchases of tobacco by households, including purchases of tobacco in cafés, bars, restaurants, service stations, and so forth. Clothing and footwear includes expenditures on clothing materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, and hire of cloth- ing; all footwear for men, women, and children; and repair and hire of footwear. Housing, water, electricity, gas, and other fuels includes expenditures on actual and imputed rentals for housing; maintenance and repair of the dwellings; water supply and services related to the dwellings; and electricity, gas, and other fuels. Furnishings, household equipment, and maintenance includes expenditures on furniture and furnishings; carpets and other floor coverings; household textiles; household appliances; glassware, tableware, and household utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Health includes expenditures by households on medical products, appliances and equipment, outpatient services, and hospital services. It also includes expenditures by government on health benefits and reimbursements and on production of health services. Transport includes expenditures on purchase of vehicles, operation of personal transport equipment, and transport services. Communication includes expenditures on postal services and on telephone and telefax equipment and services. Recreation and culture includes expenditures on audiovisual, photographic, and information-processing equipment; other major durables for recreation and culture; other recreational items and equipment; gardens and pets; recreational and cultural services; newspapers, books, and stationery; and package holidays. Education includes expenditures by households on preprimary, primary, secondary, postsecondary, and tertiary education. It also includes expenditures by government on education benefits and reimbursements and on production of education services. Restaurants and hotels includes food products and beverages sold for immediate consumption away from the home by hotels, restaurants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether collected by the customer or delivered to the customer’s home. It also includes expenditures on accommodation services provided by hotels and similar establishments. Miscellaneous goods and services include expenditures on personal care, personal effects, social protection, insurance, and financial and other services. Net purchases from abroad include purchases by resident households outside the economic territory of the country less purchases by non-resident households in the economic territory of the country. Tables of Results 137 Individual Individual Collective Changes Restaurants Miscellaneous consumption consumption consumption Gross fixed Machinery inventories Balance of and goods and Net purchases expenditure expenditure expenditure capital and Other and exports and Education hotels services from abroad by households by government by government formation equipment Construction products valuables imports 16.1 4.9 5.7 -3.5 85.6 5.0 9.5 22.0 4.9 14.6 2.4 -0.2 -21.9 4.7 0.9 4.5 0.7 35.1 5.5 13.9 18.0 9.3 6.0 2.7 0.1 27.3 3.9 0.3 1.0 0.0 17.9 4.0 7.4 33.6 16.0 13.6 4.0 1.9 35.1 6.8 1.4 1.3 1.4 28.6 8.3 11.8 16.5 7.2 7.9 1.5 1.3 33.5 5.0 1.4 0.4 0.0 69.6 4.6 6.4 23.7 12.1 11.6 0.0 -6.3 2.0 4.4 1.7 5.5 -0.1 64.2 4.7 7.5 19.0 7.1 11.2 0.7 -0.5 5.1 6.3 1.5 2.4 0.4 41.7 6.6 11.0 17.9 7.5 9.1 1.3 1.1 21.7 5.3 4.2 8.6 0.0 59.6 8.8 8.6 21.6 7.6 11.9 2.1 0.7 0.1 Individual consumption expenditure by households includes the actual and final consumption expenditure incurred by households on individual goods and services. It also includes expenditure on individual goods and services sold at prices that are not economically significant. Individual consumption expenditure by government includes the actual and imputed final consumption expenditure incurred by general government on individual goods and services. Collective consumption expenditure by government consists of expenditures incurred by general and local governments for collective consumption services such as defense, justice, general administration, and the protection of the environment. Gross fixed capital formation is measured by the total value of a producer’s acquisitions, less disposals, of fixed assets during the accounting period, plus certain additions to the value of nonpro- duced assets (such as subsoil assets or major improvements in the quantity, quality, or productivity of land) realized by the productive activity of institutional units. Machinery and equipment includes fabricated metal products, general purpose machinery, special purpose machinery, electrical and optical equipment, transport equipment, and other manufac- tured goods. Construction covers the construction of new structures and the renovation of existing structures. Structures include residential buildings, nonresidential buildings, and civil engineering works. Other products include products of agriculture, forestry, fisheries, and aquaculture, as well as software products. Changes in inventories and valuables (including work in progress) consist of changes in (a) stocks of outputs that are still held by the units that produced them before their being further pro- cessed, sold, delivered to other units, or used in other ways and (b) stocks of products acquired from other units that are intended to be used for intermediate consumption or for resale without further processing; they are measured by the value of the entries into inventories, less the value of withdrawals and the value of any recurrent losses of goods held in inventories. PPPs are not estimated directly; instead, they are imputed using PPPs for consumer goods equipment. Balance of exports and imports is the difference in value between the total exports and total imports of an economy during a specific period of time. Note: a. Kuwait, Qatar, Saudi Arabia, Yemen, Mauritania, Djibouti, Brunei, Bangladesh, Maldives, Iran, and Pakistan do not have expenditures on alcoholic beverages or narcotics. b. Burundi: Submitted prices, but did not provide official national accounts data. c. Egypt, Arab Rep.: Participated in both the Africa and Western Asia regions. The results for Egypt from each region were averaged by taking the geometric mean of the PPPs, allowing Egypt to be shown in each region with the same ranking in the world comparison. d. China: Results for China were based on national average prices extrapolated by the World Bank and ADB using price data for 11 cities submitted by the National Bureau of Statistics for China. The data for China do not include Hong Kong, Macao, and Taiwan, China. e. Russian Federation: Participated in both the CIS and OECD-Eurostat comparisons. The PPPs for Russia are based on the OECD comparison. They were the basis for linking the CIS compari- son to the Eurostat-OECD program. ... Data suppressed because of incompleteness. Pa rt II Technical Notes of the 2005 ICP Data Requirements There are two basic data requirements for participation in In particular, the classification of individual consumption the ICP: Each economy must provide estimates of its GDP according to purpose (COICOP) provides the framework compiled in line with the framework described in SNA93, for dividing individual consumption expenditure by house- expressed in national currencies, and national annual aver- holds into its 110 basic headings. Likewise, the classifica- age prices for a set of well-defined goods and services. This tion of the functions of government (COFOG) provides part of the report provides an overview of the data collec- the framework for government expenditures (individual tion and analysis methods used in the ICP. (The treatment and collective). The remaining significant component of of special cases is described in greater detail in appendixes GDP, gross fixed capital formation, is classified by the type F and G.) of asset on which the expenditures were incurred, such as construction or equipment goods. Data for some of the required basic-heading levels were National Accounts Data not available in all economies; therefore, estimates had to For use by the ICP, GDP must be compiled using the expen- be made by the local national accounts experts. In some diture approach, with its components allocated to 155 basic cases, particularly in statistically less developed economies, headings. Basic headings are the lowest level of disaggrega- the national accounts were compiled using only the pro- tion for which PPPs are computed. Product specifications duction approach, which meant that the expenditure esti- are determined for each basic heading. GDP expenditures mates required for ICP purposes were not available. In such for each basic heading are used to weight the basic-head- cases, the basic-heading estimates were calculated using ing PPPs to higher levels of aggregation and to GDP. (See alternate data sources (for example, retail sales, household appendix C for the list of basic headings.) expenditure surveys, or commodity flow data). Occasion- Expenditure-based estimates of GDP must be consis- ally, the weights underlying price indexes, such as the con- tent between economies. Several classifications are defined sumer price index (CPI), were used to impute the detailed in SNA93, which enable the national accounts to be cat- basic-heading expenditures. egorized in different ways. For ICP purposes, the most In some economies where expenditure-based GDP was important classifications are those relating to expenditures. not available, the percentage distribution of an economically 141 142 Global Purchasing Power Parities and Real Expenditures comparable economy from the same region was applied to to be specified. COICOP was used as the starting point production-based GDP aggregates to impute the basic- because most economies use it (or a compatible variant of heading details. When necessary, the regional coordinator it) in compiling their national accounts or their CPI. The assisted economies to produce the basic-heading estimates product clusters were mapped to the Eurostat-OECD PPP by providing advice or by sending a statistician to work classification to identify products making up each ICP basic directly with the local national accountants. The regional heading. Product characteristics were identified using the coordinators and the global office reviewed the basic-head- U.S. Bureau of Labor Statistics checklist from its consumer ing breakdowns for consistency across economies. price index as a starting point to develop a series of struc- Own-account production can be significant in develop- tured product descriptions (SPDs), which define the key ing economies, as can the activities of the informal econ- characteristics of each product to be priced (for example, omy. Economies that included own-account production in type, variety, seasonal availability, quantity, packaging, and their national accounts were asked to make adjustments to pricing basis). An SPD identifies those characteristics that their average prices at the basic-heading level to reflect its are price-determining. For example, the package type or implicit price. weight of a product will often be price-determining, but A number of new items introduced in SNA93 (such the color will not usually affect the price. as mineral exploration, software, and valuables) were not Once an SPD was set up for the product cluster, individ- included in some economies’ national accounts because ual products were identified by selecting the specific char- they were still being compiled according to the System acteristics of each product included in the pricing list. Each of National Accounts, 1968 (SNA68). To comply with selected product was given a detailed product specification. ICP requirements, those countries updated their national Each ICP region went through an independent exercise to accounts. Therefore, the GDP numbers for some countries define the specifications of products to be priced. will differ from those previously published by the World The number of products specified under a basic head- Bank. (See appendix G for more details.) Given the dif- ing varied from one basic heading to another (and even ficulties in collecting prices for most of these new items, for the same basic heading in different regions) because “reference PPPs” (see page 144) were used instead of spe- of the number and diversity of price-determining char- cifically calculated PPPs (except for computer software, for acteristics. For example, given the centralization of postal which prices were specially collected). services in most economies, it was possible to cover very thoroughly the “postal services” basic heading with only a handful of products. On the other hand, the “bread” basic Price Data: Household Consumption heading required a wide range of products to be specified Expenditure because of the diversity of bread types available in different Purchasing power parities (PPPs) are derived from inter- economies. country comparisons of the national annual average prices Developing the final product specifications was a for a representative selection of goods and services. Price lengthy, iterative process. Chapter 5 of the ICP 2003–2006 comparisons are based on the principle of “matching like Handbook describes in detail the preparation of the SPDs with like.” Therefore, after determining which products to and the steps taken to derive product specifications within price, it was necessary to carefully define their price-deter- a region. mining characteristics so that comparable items were priced A basic concept guiding the price collection is that the across all economies within each region. prices should be consistent with those underlying each Because of the crucial importance of this part of the economy’s national accounts expenditure estimates. The work, a new approach was adopted for the 2005 ICP. The prices collected should include all nondeductible taxes, as first step was to define “product clusters,” groups of prod- well as tips or gratuities (where significant). And the prices ucts with shared broad characteristics (for example, “fresh recorded must be annual national average prices consistent whole milk”), for which more-specific products needed with the values recorded in the national accounts. Meet- Data Requirements 143 ing the latter requirement proved to be difficult in many priced were representative of the expenditures to which economies. The special price collections for the ICP were they related, as well as being comparable from one econ- generally run once in each quarter. In some cases, it was nec- omy to another. essary for economies to collect prices monthly to prevent The representative products of an economy are those biases from price volatility during the quarter. An alterna- that figure prominently in the expenditures within a basic tive, adopted by some economies for products whose prices heading. They may therefore be products that are fre- were highly seasonal, was to use price movements from the quently purchased by resident households and are likely to same product (or product group) in the CPI to adjust the be widely available throughout the economy. They may also ICP prices that were collected less frequently than those be relatively high-value products that may not be bought in the CPI. This option was not available in all economies so frequently, but whose total value is a significant propor- because it requires having a sufficiently detailed and reli- tion of the total expenditure within a basic heading. able monthly CPI available. With regard to comparability, products are said to be Calculating national average prices consistent with the comparable if their physical and economic characteris- national accounts proved to be a difficult process, particu- tics are identical or they are so similar that consumers are larly in very large economies. Generally, prices in rural areas hardly concerned about differences between them. In other are lower than those in urban centers, but collecting prices words, a typical consumer is not prepared to pay more for in rural areas is more difficult and costly than collecting one than the other. The main way in which comparabil- them in towns and cities. Where it was not feasible to col- ity was ensured was to prepare detailed specifications for lect prices in both urban and rural areas, it was sometimes each product to be priced for the ICP in each region. How- possible to use price information collected for other pur- ever, another trade-off was involved in this process. On one poses. For example, rural and urban adjustment factors were hand, a product selected for pricing in different economies sometimes applied to the prices collected in urban areas to can be more accurately compared between economies if impute rural price levels. The urban and rural prices were the specifications are tightly defined. On the other hand, then combined (using weights derived from household the more tightly defined the product, the less likelihood expenditure surveys or other sources) to obtain a national there is of locating it in many economies. average price. For many basic headings, the rural sector had Product lists were constructed to provide the greatest little impact on average prices, because the products or ser- possible opportunity for economies to identify representa- vices were only available in urban areas. tive products to price. No economy was expected to price all the products within any particular basic heading. But all economies were expected to price at least some nonrepre- Representativity and Comparability sentative products so they could be matched with prices The selection of the products to be priced affected the collected in other economies. outcome of the comparisons. The products to be priced by each economy needed to meet two criteria: they should Price Data: Government Final be representative of its economy and comparable between Consumption Expenditure economies. Conflicts arise because products that are most representative of a particular type of expenditure in one Compensation of employees in health, education, and economy are not necessarily identical to those in another general government is a major input to overall govern- economy. ment PPPs. The compensation recorded for PPP purposes In practice, there are significant differences in products included basic salary and allowances before income taxes, purchased within the same basic heading in different econ- in-kind payments (such as employer-subsidized housing), omies. And, of course, the proportions of total expenditure and actual and imputed social security contributions paid for each basic heading differ between economies. There- by the employer. fore, trade-offs were required to ensure that the products 144 Global Purchasing Power Parities and Real Expenditures Table 3 Commonly Used Reference PPPs Code Description Reference PPP 100000 Gross domestic product 110000 Final consumption expenditure by households 110400 Housing, water, electricity, gas, and other fuels 110440 Water supply and miscellaneous services relating to the dwelling 110442 Miscellaneous services relating to the dwelling 110442.1 Miscellaneous services relating to the dwelling PPPs for actual and imputed rents 110600 Health 110630 Hospital services 110631 Hospital services 110631.1 Hospital services PPPs for production of health services by government (without net taxes on production and receipts from sales) 110900 Recreation and culture 110960 Package holidays 110961 Package holidays 110961.1 Package holidays PPPs for transport services and restaurants and hotels 130000 Individual consumption expenditure by government 130220 Production of health services 130222 Intermediate consumption 130222.1 Intermediate consumption PPPs for household final consumption expenditure on the domestic market (excluding health and education basic headings and reference PPPs basic headings) 130223 Gross operating surplus 130223.1 Gross operating surplus PPPs for gross fixed capital formation 130224 Net taxes on production 130224.1 Net taxes on production PPPs for production of health services by government (without net taxes on production and receipts from sales) 130225 Receipts from sales 130225.1 Receipts from sales PPPs for production of health services by government (without net taxes on production and receipts from sales) 160000 Changes in inventories and acquisitions, less disposals of valuables 160100 Changes in inventories 160110 Changes in inventories 160111 Changes in inventories 160111.1 Changes in inventories PPPs for consumer goods and equipment goods Source: ICP Global Office. Data Requirements 145 Price Data: Gross Fixed Capital PPPs so obtained would be very close to the exchange rate Formation and would diverge mainly because of differences in freight costs. For ICP 2005 (as in all previous rounds), exchange For gross fixed capital formation, the prices recorded rates were used as reference PPPs. include all installation charges and the costs of delivering equipment or materials to the site where they were to be used. For more information on the pricing of construction Reference PPPs and machinery and equipment, see the discussion below on Reference PPPs are PPPs that are used for basic headings comparison resistant areas. for which no prices were collected. They are based on PPPs from other basic headings. For example, the reference PPP Changes in inventories used for changes in inventories was a weighted average of PPPs are not directly estimated for changes in inventories. the PPPs for consumer goods and the PPPs for equipment Instead, PPPs are imputed using PPPs for consumer goods (investment) goods. and equipment (as described below for reference PPPs). Table 3 shows some examples of the most commonly used reference PPPs. It was necessary to use them in cases where one or more economies in a region had been unable Balance of exports and imports to price any products under a particular basic heading. Export PPPs could be calculated by comparing the prices of Regional coordinators decided on the most appropriate ref- goods and services for export in the participating countries. erence PPPs to use. The reference PPPs used by each region The same thing could be used for imports. In most cases, the are documented in their regional reports. Comparison-Resistant Areas Some components of expenditure on GDP have a long his- could be affected by a switch in the proportion of tenants tory of being difficult to estimate. In the ICP, these compo- and owner-occupiers in an economy, even if there had been nents are often referred to as “comparison-resistant” goods no change in the size or composition of the housing stock. and services. They are found mainly in housing, collective In the past, calculating PPPs for rents has proved to be prob- government consumption, health, education, and invest- lematic. The main problem has been that the rental market ment in equipment and construction. Different approaches in some economies is so small that it is difficult to obtain were used to obtain prices and PPPs for these activities. realistic average prices. In addition, the prices reported for The global office consulted closely with experts in relevant calculating PPPs have not always been consistent with those organizations (such as the World Health Organization) or underlying the values of rents in the national accounts. As employed experts on investment in equipment and con- a result, the real value of housing services computed using struction to assist in setting up special pricing lists for the PPPs derived from reported rental prices have been differ- products involved. The requirements regarding the prices ent from those derived from unit values estimated from recorded were similar to those for the household final con- national accounts sources. sumption products (that is, they had to be national annual The global office developed a questionnaire to obtain average prices consistent with the expenditures recorded in detailed data underlying the estimates of dwelling stocks an economy’s national accounts). used in the national accounts for both rented dwellings and owner-occupied dwellings (that is, imputed rent). The details of particular interest for ICP purposes were the num- Housing Rent ber of dwellings, number of rooms, and total square footage Housing rent is an important component of household of each type (detached houses, apartments, and so forth), expenditures and a significant contributor to GDP. Actual classified by size, region, locality (urban or rural), and the rents are recorded in the national accounts along with an facilities available (electricity, running water, private toilet, imputed component based on the rental value of owner- and so forth). The aim was to produce comparisons of the occupied housing. In effect, the national accounts consider real value of dwelling services between the economies. owner-occupiers as renters of their own homes. The reason In the 2005 round of ICP, regions used one or a com- for this is to avoid a situation in which the value of GDP bination of three approaches to compute PPPs for housing 147 148 Global Purchasing Power Parities and Real Expenditures rent. The first approach is the quantity method, in which government and nonmarket services in health and educa- physical measures of the numbers and characteristics of tion produced by government include basic headings for dwellings are used to produce comparable real expendi- compensation of employees, intermediate consumption, tures on housing. The second approach is the direct rent and some other smaller items (as shown in appendix E). approach, in which rental data for comparable housing PPPs for compensation of employees were compiled by types (apartment, house, and so forth) are used to compute comparing salaries between economies for a number of the PPP for the dwelling basic heading. In the absence of carefully selected and well-defined jobs that are typical of detailed rental data and detailed information on the num- government expenditures around the world, for both the bers and characteristics of dwellings, Asia-Pacific and Africa regional and ring comparisons. used the PPP for individual consumption expenditures by Measuring the compensation of government employ- households (excluding rentals for housing) as a reference ees is a difficult area for ICP because labor productivity PPP for housing. This is a neutral approach in the sense in government varies widely between economies. For the that housing has no effect on the overall PPP for individual Eurostat-OECD, CIS, and South America regions, produc- consumption. South America and CIS used the quantity tivity differences were ignored because they were judged method. Western Asia and Eurostat-OECD used a combi- to be so small that ignoring them would not affect regional nation of the first two methods. comparisons. However, the participating economies in the Asia-Pacific, Africa, and Western Asia regions are at very different levels of economic development, reflected in gov- Government ernment compensation levels. For example, in Asia-Pacific, For ICP purposes, government final consumption expen- average compensation (based on exchange rates) in the diture was divided into two components: expenditure by government health sector of Hong Kong was about 120 general government on collective consumption goods and times higher than in the Lao People’s Democratic Republic services and expenditure by general government on indi- (PDR). If no productivity adjustments were made, econo- vidual consumption services. The collective consumption mies such as Vietnam, Cambodia, or Lao PDR, where gov- component covers services that are provided to the com- ernment salaries are very low, would be seen as having very munity as a whole, such as defense, police, and firefighting. high real consumption of government services—and hence The individual component relates to those services pro- very high real GDP—compared with economies such as vided to specific individuals, such as health and education. Hong Kong and Singapore, where government salaries are In the ICP, a national accounting aggregate known as relatively much higher. “actual individual consumption expenditure” was used for The solution adopted by these regions was to adjust gov- comparison of household consumption. It comprises house- ernment compensation, and hence government consump- hold final consumption expenditure plus the individual tion expenditure, for differences in productivity. (Details on component of government final consumption expenditure the productivity adjustment can be found in appendix D.) and the final consumption expenditure by nonprofit insti- tutions serving households (NPISHs). The reason for using Health actual individual consumption expenditure is that it is not affected by the extent to which services such as health For ICP purposes, basic headings for expenditures on and education are financed by government or purchased medical products and health services were included under directly by households. household consumption and individual consumption by The national accounting convention for measuring non- government. Government expenditures included addi- market outputs is the input-cost approach, which means tional basic headings for the production of health services. that they are recorded as the sum of the wage costs of the This classification reflects the different ways that health employees involved plus the intermediate consumption of products and services can be purchased: goods and services (materials used, rents, and so forth) and m Households purchase them directly and pay for consumption of fixed capital. Collective consumption by them in full. Comparison-Resistant Areas 149 m Households purchase private insurance, and the latter approach is that overheads and productivity differ- insurance company reimburses the purchaser for all ences between economies are taken into account. However, or part of the cost of the products. it is much more costly to implement than pricing inputs. m They are purchased and paid for in full by govern- A completely new method was introduced in the 2005 ment for distribution to households. ICP. In practice, it falls in between the input- and model- m They are purchased and paid for partly by house- based approaches. It has been termed the “basket of con- holds and partly by government. struction components” (BOCC) approach, and it involves pricing identifiable, complete, installed components The prices used in the ICP should reflect the full price, (including the materials and labor), plus the cost of hiring no matter who is paying for the goods or services. In other any capital equipment used. The product list focused on words, purchasers’ prices are required. In the ICP, the full components (such as a column footing) that were signifi- price was required for products purchased using either of cant in the total cost and then identified the major elements the first two means listed above. For products paid for in of each. The types of inputs and the mix between labor and full by government (the third way listed above), the full equipment differ between economies. The BOCC approach cost of each product to the government was the “price” took into account such variations in the mix of inputs. The required. Products and services that are partly paid for by global office selected 22 components, which represented government and partly by households are the most difficult the principal types of construction activities around the to measure. The price required for ICP purposes was the world. Twelve basic construction inputs (such as labor, total of any amounts paid by the consumer plus any contri- equipment rental costs, and selected materials) were also bution to the overall cost made by the government. priced. These global specifications were priced by all ICP The PPP for consumption expenditure on health ser- regions. Construction contains three basic headings: resi- vices included a combination of prices paid by consumers dential buildings, nonresidential buildings, and civil engi- and government contributions measured by the sum of neering projects. Components such as the column footing inputs (that is, compensation of employees, plus intermedi- were first mapped to systems, such as the substructure or ate consumption, net taxes, and gross operating surplus; less superstructure, that make up the construction of a building receipts from sales). A reference PPP was used for hospital or project. PPPs were first computed within each system services because of the difficulties involved in specifying using the cost data for each component within it, the same and pricing comparable products across economies, par- as if they were product prices. These were then weighted ticularly given the huge range of ways in which hospital separately to the three construction basic headings. (See services are provided and charged in different economies. the ICP Handbook, chapter 9, for more details.) The reference PPP was the production of health services by government (excluding net taxes on production and Machinery and Equipment receipts from sales). Pricing the goods underlying investment expenditures on machinery and equipment was a problematic area in Construction both the regional and the ring comparisons. The approach Construction investment is a difficult area because of the adopted was similar to the one for consumption goods and variety of projects and techniques in different parts of the services, for which SPDs were used as the starting point. world, even within the same region. Historically, two meth- However, for consumption products, each region developed ods have been used to price such projects. The first is to its own specifications. For machinery and equipment, the price the inputs (wages for the labor; materials used in con- global office staff prepared the SPDs on a worldwide basis struction, such as bricks, timber, and steel; and the cost of and developed the product specifications. The global office hiring equipment). The second is based on standard models identified at least two manufacturers and two model num- for different types of construction projects (for example, bers for most products. National coordinators were asked housing, bridges, roads, and factory buildings) and pricing to provide prices for the first of these two specifications them by construction experts. The main advantage of the for each product, provided that the model specified was 150 Global Purchasing Power Parities and Real Expenditures available and in common use in the economy; otherwise, matches could not be found, each economy had to price the second one was to be priced. If more than one model a model that broadly met the specifications and was com- could be priced on this basis, then national coordinators monly used in the economy. were asked to do so. In those cases for which exact product Data Validation Data validation was a critical part of the 2005 ICP. Several spread of prices on the assumption that variations in prices stages were involved, some requiring an iterative process for the same product within an economy should not be to clean up the data progressively. The process was time- large. Any extreme observations were examined closely consuming and required close coordination and goodwill to determine whether they had been correctly recorded, on the part of the regional and national coordinators in whether appropriate units of measurement were used, each region. A key aim of the very methodical data valida- or whether there was some inconsistency in the product tion process undertaken in all regions was to ensure that being priced in different locations. In some cases, quite the prices and national accounts data were as comparable significant differences in price levels between urban and as possible between economies so that consistent results rural areas occurred legitimately. If this appeared to be would be produced. (Appendix I provides an overview of the case, price levels were compared between cities and the software used for the many stages of data collection and between rural areas. The process revealed different inter- validation.) pretations of the product specifications, particularly for the more generically described products, and it also identified a number of cases of inappropriate quantities being priced. Data Validation: Prices This process enabled appropriate corrections to be made to The first stage of data validation was a price comparison the initial data. within each economy, shortly after the first quarter price National coordinators supplied prices progressively collections were completed. The aim was for each national to the regional coordinators after each quarter’s collec- coordinator to ensure that the products being priced were tion, which provided the opportunity for a second check, consistent from one part of the economy to another so that but with the advantage of being able to compare prices economies in which problems were identified would be between, as well as within, economies. The primary pur- able to correct their procedures or better specify the prod- pose of this review was to ensure that economies priced ucts being priced for the remaining three quarters of price comparable items. The national coordinators worked collection. The starting point was to compare the average closely with the regional coordinators in carrying out this prices collected for a single product in different locations work, which involved checking the average prices of cor- within an economy. The process involved examining the responding products in all economies in the region. At this 151 152 Global Purchasing Power Parities and Real Expenditures stage, a Quaranta validation table could be produced for readily explained by the regional coordinator’s team were each basic heading, allowing the regional coordinator to referred back to the national coordinators concerned for compare characteristics of the prices between economies resolution. The patterns of expenditure between different (for example, their relative levels, variation, and dispersion) groupings of economies were also compared. For example, after converting them to a common currency, using both the share of GDP spent on basic needs, such as food, should exchange rates and PPPs. be relatively high in low-income economies, while the Another editing facility used for the first time in the share of expenditure on luxury items, such as motor vehi- 2005 ICP was the Dikhanov table, which extended the cles, should be higher in the high-income economies. Such type of analysis provided by the Quaranta table. The main checks are fairly subjective, but they identified problems difference between the two is that the Quaranta table con- that had to be corrected before each region’s comparisons centrates on key features of the data at the basic-heading were finalized. level while the Dikhanov table presents a broader overview across basic headings. Data Issues and Accuracy The feedback from the preliminary editing phase pro- vided a means, early in the price collection cycle, of iden- The ICP is a very large statistical program, which uses not tifying products that were being incorrectly identified or only existing data sources (for example, national accounts priced. The data validation was an iterative process: as data data) but also data derived from special surveys, particu- problems were identified and corrected, the relationships larly to obtain prices not otherwise available. The results presented in the tables changed, and therefore several cycles are published on an economy basis, so each economy has were normally required to complete the data cleaning. a stake in the accuracy of its results. Consequently, there The process was managed by the regional coordinators, is shared responsibility for editing the ICP inputs and out- who sent queries to the national coordinators. Once the puts, although the global office is ultimately responsible for problems identified in the price data were resolved, a sec- the quality of the final overall results. ond set of Quaranta and Dikhanov tables was produced, Several steps were taken to improve data accuracy start- and the detailed checking process was repeated. At about ing with the careful selection and defining of products to be this time, most regions held a data validation workshop. The priced via the structured product definitions. The next step purpose of these workshops was to have price experts from was data validation at the regional level, where workshops each economy in the region review, as a group, the price were convened after each data collection and where econo- data in a “semifinal” state. The aim was to finalize product mies reviewed the prices submitted to determine whether prices by resolving data queries during the meeting. Inevi- all priced the same product the same way. tably, it was not possible to resolve every problem, and so When comparing GDP volumes between economies, it a major outcome of a data validation workshop was a list is also necessary to take into account the accuracy of the of potential problems for which the price statisticians had underlying national accounts estimates. The estimates of to find an explanation for apparent anomalies or provide GDP in national currencies can have large errors associated corrected prices. with them. For example, substantial revisions have been Once the price data were considered final, national made to the level of GDP in many economies over the past coordinators were asked to formally approve their own decade as more and better statistical surveys have become economy’s prices. Final Quaranta and Dikhanov tables available, particularly in the area of services, and as the were circulated as part of this process. nonobserved economy has been covered more comprehen- sively. Any such shortcomings in the national accounts data affect the international comparisons for those economies, Data Validation: National Accounts no matter whether PPPs or exchange rates are used. A crucial aspect of data validation was to make interna- As is the case with national accounts data in general, the tional comparisons of the contributions of each basic head- data for some aggregates are more accurate than those for ing to GDP. Any significant differences that could not be others. Sometimes the quality of the underlying data source Data Validation 153 determines the level of accuracy, and sometimes statistical accounts aggregates, using data that may not be completely measurement issues (for example, in the methods of esti- compatible with the accounts. In such cases, the data are mating the values of nonmarket services) predominate. The useful as weights to obtain broader aggregates, but they will same is true of the ICP data, particularly at the basic-head- not necessarily provide an accurate comparison between ing level. In many cases, the values underlying the basic economies at that level. headings have been obtained by allocating broader national Methodology: Calculating PPPs Overview between economy A and C followed by a comparison of C to B. Transitivity is important because it means that com- Calculating PPP-based expenditure volumes requires high- parisons made between any pair of countries are mutually quality price data and detailed expenditure weights derived consistent. from national accounts data for each of the countries for In describing the computational methods used in the which PPPs are being calculated. After the data collection 2005 ICP, it is necessary to define the various stages of phase was completed, national average prices for each prod- aggregation required within each region. Three aggregation uct were used to derive PPPs for basic headings and higher processes were involved to compute regional PPPs: aggregates. These PPPs were matched to national accounts m Averaging the individual price observations to form aggregates, expressed in national currency, to convert them an annual national average price for each product in to a common currency at a uniform price level. each country Before looking at the methods for calculating PPPs, it m Averaging between-country individual product is necessary to consider some important requirements of price ratios to obtain PPPs at the basic-heading level PPPs. One is that the comparison between any pair of between countries within a region economies should not change, no matter which economy is m Averaging basic-heading PPPs to obtain aggregate chosen as the numeraire (that is, the base country or econ- PPPs for GDP and its major components between omy of reference). This requirement is referred to as “base- countries within a region country invariance.” A second requirement is that the PPPs in a multilateral comparison should be transitive. Transitiv- For some of the stages, different techniques were used ity is the property whereby the direct PPP between any across the regions. (The following sections provide a review two economies (or regions) yields the same result as an of the general methodology. Appendix F provides an over- indirect comparison via a third economy (or region). In view of how the methods used differed by regions. The other words, a direct comparison between economy A and ICP Handbook, chapters 11–15, provides the most detailed economy B gives the same results as an indirect comparison explanations of the methodologies used to calculate PPPs.) 155 156 Global Purchasing Power Parities and Real Expenditures Annual National Average Prices The CPD Method In principle, the annual national average price for 2005 for The country-product-dummy (CPD) method is a multilat- an individual product should be its average unit value for eral approach in which the PPPs are estimated simultane- 2005 (that is, the value of the product sold during 2005 ously for all products and for all countries within a region, divided by the quantity sold in 2005). In practice, such with simultaneous estimation of prices for all products. detailed data are rarely (if ever) available; therefore, the ICP A very important property of the PPPs generated by this used an approach similar to that used by national statistical model is that they are transitive. offices in producing price indexes to deflate the national In the 2005 ICP, the starting point of the CPD approach accounts to obtain volume estimates. was a matrix of prices (in national currencies) for products Prices were collected throughout 2005 for the products priced within each country in the region concerned. There specified in each region of the ICP. Typically, the prices were gaps in the matrix because it was not possible (and were obtained from a range of different outlets in a sample neither necessary nor generally desirable) for all countries to of cities and towns throughout each economy at least once price every product in the list. The CPD method is a regres- every quarter. Africa collected prices on a monthly basis, sion technique. The underlying model is multiplicative (but while Asia-Pacific, Latin America, and Western Asia col- additive in logarithms). It assumes that prices vary by prod- lected prices on a quarterly basis. National average prices uct within countries at the same rate across all countries, were calculated using as weights the quantities sold in dif- and that prices vary between countries at the same rate ferent quarters of the year and in different regions of the across all products. In practice, one country has to be cho- economy. When data on quantities sold were not available, sen as a base, and all other product/country combinations alternatively, regions used expenditures or population as are measured in terms of their variation from this base. An weights. In cases where weights were not available alto- error term (also multiplicative in this case) is required to gether, the annual national average price was calculated as handle differences in the observed country/product prices a simple arithmetic mean of the prices observed during the from those generated by the model. year, provided that there were no significant seasonal varia- The multiplicative CPD model can be illustrated by a tions in the prices. general example. Let us assume that there are m countries Once the national annual average prices were com- and that their product list contains n products. Then, for puted, aggregation methods, such as CPD and EKS, were each product in each country, the observed price is pij for i applied to derive the PPPs at the basic-heading level. (An = 1, 2, . . . , m and for j = 1, 2, . . . , n. Note that the prices outline of these methods follows. Full details, including pij are expressed in each country’s national currencies. The examples, are presented in chapter 11 of the ICP 2003– multiplicative CPD model is expressed in equation (1) as 2006 Handbook.) pij = ai bj uij , (1) Calculating PPPs at where uij is the error term. the Basic-Heading Level The following sections provide an overview of the methods The CPD model is converted from a multiplicative one used to compute PPPs at the basic-heading level. The ICP to an additive one by expressing the terms in the model as regions used the CPD method; the Eurostat-OECD-CIS logarithms in equation (2): regions used the EKS* (see below for explanation of differ- ence between EKS and EKS* methods) methodology. log(pij) = log(ai bj uij ) = log(ai ) + log(bj ) + log(uij ) (2) Methodology: Calculating PPPs 157 The observed price data are in national currencies. The EKS formula is used to produce transitive PPPs Dummy variables with values of 1 or 0 are used to represent from a set of bilateral PPPs. If there are n countries in a each country (i) and product (j). The regression coefficients region, transitive PPPs are obtained as the nth root of the are estimated by ordinary least squares. The interdependent product of the direct bilateral PPP with weight 2 and (n–2) country factors (ai ) are the PPPs relative to the base coun- indirect PPPs, each with weight 1. try, and the product factors (bj ) are average prices in the For example, if there are three countries, A, B, and C, base country. If we assume that the base country is country the transitive PPP for countries A and B is shown in equa- 1, then ai = 1. Any other country can be made the base tion (3): country simply by dividing every country’s PPP by the new 1 3 base country’s PPP. 2 PA x 1 x PC x PA Another useful output from the CPD model is a set P B PB PB PC (3) of estimated prices in PPP terms, ai bj , for each product in PA each country. Differences between observed prices and the modeled prices provide an indication of possible problems For the EKS formula to work, it is necessary for PPPs with the prices provided by a country. Large differences to be available for all countries for each basic heading. indicate that prices for the same product vary significantly Occasionally, some PPPs for some countries were missing between countries or that the product is misspecified or not because of data collection problems or data consistency representative of the economy. The distribution of these issues. In such cases, PPPs had to be imputed either by differences provides the underlying basis for the Dikhanov using the PPP of a similar basic heading or from a broader table as an editing tool. The distributions can be graphed (but related) aggregate. to provide a simple means of identifying potential problem The EKS method can be seen as a procedure that mini- prices, for a product across countries or for a set of products mizes the differences between multilateral binary PPPs and within a country. bilateral binary PPPs. In its most general form, it can be presented in equation (4) as The EKS and EKS* Methods l/m (4) PPPj,k = Π PPPj,l PPPk,l The EKS formula (named after its developers Éltetö, Köves, l and Szulc) was first used to produce transitive PPPs from a set of nontransitive bilateral parities that were obtained as where PPPj,k is the multilateral index for country j and simple geometric averages from individual price ratios for country k and m is the number of all countries. a pair of countries. The EKS method differs from the CPD The EKS* method is an extension of the original EKS method in several important respects. First, it is based on a method; the asterisk (*) refers to the way in which the binary approach rather than a multilateral one. The binary Eurostat-OECD and the CIS denote representative prod- PPPs of all pairs of countries do not automatically produce ucts in their PPP price collections. Each product deemed transitive estimates, and hence an extra step is required to by a country to be representative of its expenditures is convert the binary comparisons into multilateral, transitive assigned an asterisk in a representativity field. Any prod- ones. The EKS method treats participating countries as a set ucts that do not have an asterisk in that field are treated as of independent units, each with an equal weight. The binary nonrepresentative. PPPs are made transitive by a procedure that minimizes the The starting point for EKS* is a comparison between differences between them and the multilateral PPPs it pro- each pair of countries in a region. The issue of represen- duces. For each pair of countries, the EKS method provides tative/nonrepresentative products comes into play at this PPPs that are similar to the PPPs that would be obtained if stage. Three bilateral PPPs at the basic-heading level are each pair of countries had been compared separately. calculated for each pair of countries. A bilateral PPP is 158 Global Purchasing Power Parities and Real Expenditures calculated by first taking all the representative products computing another weighted average using the second within one country and matching them with the products country’s weights. Because the basic-heading expenditures priced by a second country, no matter whether the prod- are in each country’s national currency, they are converted ucts in the second country were classified as representative. to shares for the weighting process. This step provides two The ratio of prices in the first country to those in the sec- weighted PPPs at each level of aggregation, each reflect- ond is calculated for each of the matched products, and a ing the weight distribution of each of the pair of countries geometric mean is taken of all the price ratios. being compared. The geometric mean of these two PPPs The process is repeated by matching all representative gives a single PPP between the two countries. products in the second country with as many products as The outcome of this process is a matrix of PPPs for each possible from the first country, no matter whether they are pair of countries, for each aggregate for which PPPs were classified as representative in the first country. The price required, up to the level of GDP. Each matrix consisted ratios are calculated for all matched products, but this time of nontransitive PPPs, which were then made transitive by the ratios are those between the second country and the applying the EKS method. This was done to obtain transi- first country. Once again, the geometric mean is calculated tive PPPs that remain as close as possible to the nontransi- for the price ratios of all the matched products. The final tive PPPs calculated in the initial step. bilateral PPP for the basic heading is obtained as the geo- The result is that the real final expenditures are not metric mean of the two geometric means obtained from additive to higher aggregate levels or to GDP. However, the these first two steps. At this point, the PPPs for each basic EKS method avoids the Gerschenkron effect (described heading have been calculated as unweighted (more cor- in the next section), which occurs when additive indexing rectly, equally weighted) averages of the prices. No weights methods are used. EKS PPPs and real final expenditures are available below the basic-heading level because, by based on them are better suited for comparisons across definition, the basic heading is the most detailed level for countries. Results from the GK method (described below) which national accounts expenditures are required for are better suited for the analysis of price and volume struc- the ICP (although the distinction between representative tures across countries (for example, real food expenditures and nonrepresentative products can be seen as a form of as a percentage of the GDP). weighting). The transitive EKS PPPs were used as deflators to con- Products classified as nonrepresentative by both coun- vert aggregates expressed in national currency into volumes tries are excluded from the bilateral price ratio calculations, expressed in a common currency. It is important to note even if both countries price them; however, prices for these that because the volumes are not additive, it is not possible products are not discarded. They can be used in other bilat- to obtain volumes for any aggregates for which PPPs have eral comparisons if some other countries classified them as not been calculated directly through the above process. representative and in the EKS procedure to make the PPPs transitive, and so they can have some influence on the final PPP calculations. The Geary-Khamis (GK) and the Iklé Methods The GK method was used to derive aggregate PPPs in pre- PPPs for GDP and its Major Aggregates vious rounds of the ICP before 1993. Conceptually, the within a Region GK method calculates volumes in a numeraire currency by valuing the quantities in each country using a common The EKS method vector of average prices. The price vector has to be as typi- Using the EKS method, the aggregation of basic-heading cal as possible of the region as a whole, and so a quantity- PPPs is undertaken at each level of expenditure up to the weighted average of the prices for the entire region would level of GDP by using the following steps. be the ideal price vector. To obtain this price vector, prices For each pair of countries, the basic-heading PPPs are in national currency have to be converted to a numeraire weighted, summed, and averaged by using the basic-head- currency using the PPPs. Therefore, average common prices ing expenditure weights of the first country, and then and PPPs are interdependent variables in the GK linear Methodology: Calculating PPPs 159 system. Major advantages of using a single price vector are other than to economies in other parts of the world. The that the process is a straightforward multilateral one and no latter point means that more robust results are likely within second stage of processing is required because the volumes a region than would be the case if all economies in the are transitive; they are also additive, which is a useful attri- world were combined in a single, worldwide comparison. bute for some analyses. For example, within a regional comparison, the product The disadvantage of the GK method is that the aver- lists can be focused on a smaller range of products, enabling age prices in the price vector are weighted using quantity economies to price a large proportion of them. At the weights from all countries in the region. The result is that same time, the characteristics of the products can be more the prices of larger countries and countries that have a rela- tightly specified, so quality differences are likely to be less tively high level of expenditure will have a greater weight significant. than those of the smaller countries. In other words, the To produce global estimates, regional results must be prices observed in the smaller and lower-income countries matched with each other. Two alternative methods were tend to deviate more from the average prices of the region considered for linking regions in the ICP. One was to nomi- (that is, those in the price vector) than those of larger and nate “core” or “bridge” countries, which would have to of higher-income countries, which have a greater influence participate in two regional comparisons, providing a link on the average prices calculated. One consequence of this between that pair of regions. The other was to select a group weighting pattern is that the volumes estimated for lower- of countries, a few from each region, that would participate income countries tend to be higher than would have been in a separate and parallel worldwide comparison organized the case if a weighting pattern were used that more closely specifically to provide a link between regions. matched the actual price structure in the lower-income With one exception, the second alternative was adopted countries. This bias is referred to as the “Gerschenkron for the 2005 ICP. This has become known as the “ring com- effect.” parison” because of the way in which it worked to deter- To reduce the extent of the bias caused by the Ger- mine the PPPs between different global regions. The ring schenkron effect, the approach used in the Africa region comparison was a much-reduced global ICP comparison was a variation of the GK approach known as the “Iklé in which transitive PPP relationships, at the basic-heading method.” The Iklé weights are based on country expen- level and above, were established between regions rather diture shares, rather than on country quantity weights. As than between individual economies in each region. In a result, the weights are more evenly distributed among total, 18 ring countries conducted special price collections countries and are not so heavily dependent on the higher- using a global product list to enable these relativities to be income and larger countries as in the GK method. The Iklé calculated. method minimizes the Gerschenkron effect, although it The ICP’s Technical Advisory Group (TAG) recom- does not eliminate it completely. More important, it pro- mended the ring comparison approach because it felt that vides additivity. it would provide the most robust links between regions. Eurostat-OECD has used the EKS method since 1990. The ICP global office was responsible for leading the ring In the 2005 ICP, Africa used the Iklé method, while all the comparison work. It was developed in such a way that other regions used an EKS approach. Africa preferred an products could be matched between ring countries in any additive method, which was considered important in their pair of regions, thereby maximizing the usefulness of the analysis. data collected. Whichever linking technique was used (that is, bridge countries or the ring comparison), it would have been pos- Combining Regional Results with sible to use either a single country or several countries from a Global Comparison: The Ring each region to link the regions together. It was not nec- Comparison essary to include the same number of countries in each The 2005 ICP was organized on a regional basis, partly for region, although obviously at least one country must be operational reasons and partly because economies within involved from each region. The bridge country approach a geographic region are more likely to be similar to each would have been simpler to implement, and it is less 160 Global Purchasing Power Parities and Real Expenditures Table 4 Countries Included in the Ring Comparison Africa Asia-Pacific Latin America Western Asia Eurostat-OECD Cameroon Hong Kong, China Brazil Jordan Estonia Egypt, Arab Rep. Malaysia Chile Oman Japan Kenya Philippines Slovenia Senegal Sri Lanka United Kingdom South Africa Zambia Source: ICP 2003–2006 Handbook. data-intensive and less resource-demanding than the ring what had been used in recent rounds conducted by Euro- comparison. However, experience in previous rounds of stat-OECD, and the conceptual expertise and the practical the ICP showed that the results from using a single country experience required to enable this method to work were within each region to link the regions were too dependent available in the region. on the economic structure of the bridge country. This was The following criteria were used to select ring a particular concern with so many new techniques being countries: used for the first time in the 2005 ICP. Any problems that m Having developed markets and an open economy arose with a bridge country’s results would be reflected in m Having a wide range of goods and services that were the relationship between all countries in that region and likely to be found in ring countries in other regions hence those in all other regions. The ring comparison was m Able to participate in the full GDP comparison developed as a means of providing more robust links pos- m Having acceptable price data and expenditure sible between regions. weights The single exception was the Commonwealth of Inde- m Able to derive annual, national average prices pendent States (CIS), whose regional results were linked to m Willingness to act as a ring country the Eurostat-OECD region using Russia as a bridge coun- try. Russia priced both the CIS and the Eurostat-OECD Developing the product list for ring countries was com- product lists to provide the link. The ring comparison was plicated because it involved several different phases. The used to combine the results for the other five regions. The most time-consuming part was preparing the product list CIS countries’ results were then linked to those for the for consumer products. The starting point was to examine other regions using the relationship between Russia and the combined product lists across the regions and check the Eurostat-OECD region. In effect, the CIS results were off the products that each ring country had priced in the linked into the rest of the world in a two-stage process. The regional comparisons. Any products not priced by a ring first was using Russia as a bridge country. The second was a country were discarded, while the remaining products were link to the other four regions using the relationships estab- retained as potential products to be included in the ring lished by the Eurostat-OECD countries that participated list. The next stage was to check the structured product in the ring comparison. The main reason for using Russia as descriptions (SPDs) for each of these products. The useful- a bridge country was that this process was consistent with ness of the worldwide SPD approach was evident in this Methodology: Calculating PPPs 161 Table 5 Number of products priced by region and for the ring comparison Category Africa Asia-Pacific CIS OECD–Eurostat Latin America W. Asia Ring Food and nonalcoholic beverages 356 223 198 422 147 353 281 Alcoholic beverages and tobacco 41 19 20 72 8 21 30 Clothing and footwear 128 78 104 319 136 162 132 Housing and utilities 21 17 22 64 18 12 35 Furnishings and household equipment 95 85 91 460 77 83 124 Health 144 112 75 244 51 69 162 Transportation 55 65 47 365 33 29 96 Communication 19 19 16 81 8 12 28 Recreation and culture 49 70 79 336 54 59 96 Education 7 7 7 5 10 11 7 Restaurants and hotels 51 25 45 117 14 20 60 Miscellaneous goods and services 34 56 36 136 22 31 44 Total consumption 1,000 776 740 2,621 578 862 1,095 General government 50 50 50 50 50 Construction 34 34 34 34 34 Equipment 108 108 108 108 108 Source: ICP Global Office. phase. Even though the final product specifications differed The number of products specified for the ring com- from one region to another, the regional SPDs were used to parison and the number actually priced in each region are identify those products that were most likely to be compa- shown in table 5. (A more detailed description of the ring rable between regions. In consultation with the ring coun- methodology can be found in chapters 13–15 of the ICP tries, the global office prepared the final product list for the 2003–2006 Handbook.) household consumption products. The following steps were used to compute the global As was the case with the regional comparisons, products PPPs: that were not covered by this process were housing, gov- m Basic-heading ring prices for each ring country ernment consumption, health, and capital goods. Global within a region were converted to a regional price specifications were prepared for these items and priced by using the regional PPPs. This resulted in five sets of all countries, except those in the CIS, OECD, and Eurostat regional prices in each basic heading. regions. That meant that the same data were used for both m The CPD method was used to compute five between- the regional and ring comparisons for Africa, Asia-Pacific, region PPPs for each basic heading. South America, and Western Asia. Ring countries in the m The between-region PPPs served as scale factors that Eurostat-OECD region priced the ICP global specifications converted each country’s regional PPPs to global, for the ring comparison. basic-heading PPPs referenced to the U.S. dollar. 162 Global Purchasing Power Parities and Real Expenditures Because a single scalar applied to all economies How Regional Results Compare with the within a region at each level of aggregation, all basic- Global Levels heading relative comparisons of economies in each The following two tables provide an example showing how region remain the same as they were in the regional the regional PPPs and all other related measures are cali- calculations. brated to the global level. Table 6 shows the regional price level indexes (PLIs) (United States = 100) for the published The next step was to average the global basic-heading aggregates of the GDP. They are a weighted average of the PPPs to GDP and major aggregates. The volumes for each economy price levels. The regional PLI for each aggregate basic heading were summed up across all economies within is the ratio of regional total nominal expenditures (US$) to a region to obtain regional total volumes in the numeraire the regional PPP or real expenditures. currency. The between-region basic-heading PPPs were The global PLI at each level of aggregation for each aggregated to higher levels using regional relative volumes economy within a region is the regional PLI multiplied as weights by the EKS method. times each economy’s PLI (region = 100), as shown in their The outcomes were PPPs (and volumes calculated from respective regional reports. The table shows that the regional them) at the basic-heading and aggregate levels that pre- PLIs vary considerably across the major aggregates. served fixity within each region (see below) and could be Table 7 shows how the regional price level indexes for compared between any pair of economies in the world. Asia-Pacific are calibrated to the global level. Note that the (See appendix H, which provides a worked example.) PLI for Asia-Pacific’s GDP is 41. Table 7 shows the PLIs Table 6 Regional price level indexes for each level of aggregation PRICE LEVEL INDEX U.S. = 100 Africa Asia-Pacific CIS Eurostat-OECD South America Western Asia GDP 46 41 43 99 52 51 Actual individual consumption 46 39 36 98 52 49 Food and nonalcoholic beverages 83 60 55 111 69 62 Alcoholic beverages, tobacco, & narcotics 64 65 37 93 37 49 Clothing and footwear 65 56 91 111 82 60 Housing, water, electricity, gas, & other fuels 30 39 17 92 48 60 Furnishings, household equipment, & maintenance 57 62 67 107 72 54 Health 22 9 15 76 27 19 Transport 89 70 72 123 89 55 Communication 92 35 61 98 58 93 Recreation & culture 77 48 51 107 79 76 Education 15 11 8 67 28 21 Restaurants & hotels 78 73 66 124 71 118 Miscellaneous goods & services 48 46 45 102 54 44 Source: ICP Global Office. Methodology: Calculating PPPs 163 from the Asia-Pacific regional report along with the PLIs at the global level for all economies. Table 7 The global PLI for every economy in Asia-Pacific is its GDP PLI for Asia-Pacific regional PLI multiplied by 0.41, which is the overall PLI for the Asia-Pacific region in the global comparison. Similar Global PLIs Regional PLIs tables could be generated for every aggregate of the PPP, (United (Asia-Pacific = GDP PLI States = 100) 100) with PLIs for economies in the regional comparison differ- Bangladesh 35 86 ing from those in the global report by the scalar shown in table 6. This process ensured that the relative relationship Bhutan 36 88 between economies within the region were the same for Brunei Darussalam 54 133 both the global and regional levels. Cambodia 31 77 China 42 103 Hong Kong, China 73 180 Fixity Macao, China 66 162 The relative ranking of economies by GDP, GDP per cap- Taiwan, China 60 148 ita, or any other aggregate depends on the composition of Fiji 85 208 the group of economies being compared, because the inclu- India 33 82 sion of different economies in the comparison affects the Indonesia 41 100 underlying weighting patterns. “Fixity” is the term given to Iran, Islamic Rep. 30 73 the convention whereby the price and volume comparisons Lao PDR 28 69 between a group of economies that were established in a Malaysia 46 112 comparison covering just that group of economies remain Maldives 64 156 unchanged, or fixed, when the economies of the group are Mongolia 35 85 included in comparisons with a wider group of economies. Nepal 32 78 Fixity is an issue in the 2005 ICP because of the pro- Pakistan 32 79 cess of regionalization that was adopted for operational Philippines 39 97 purposes. Regionalizing the ICP meant that different prod- Singapore 65 159 uct lists were used in each region and that the data-editing Sri Lanka 35 86 processes were carried out independently in each region. Thailand 40 97 Each of the regional coordinating agencies became respon- Vietnam 30 73 sible for producing the results for their respective regions, Asia-Pacific 41  100 and each agreed to publish their own results. The rate of progress in different regions varied because of the different Source: ICP Global Office. types of problems encountered along the way. Applying fix- ity to the PPPs and expenditure volume estimates for each region has enabled each coordinating agency to publish the results for its region as they became available, know- ing that the relative positions of economies in the region Data Access and Confidentiality would not change as they were combined with the results At the request of the ICP Executive Board, the World Bank for other regions around the world. In addition, the fixity has developed a policy governing access to detailed ICP data of the PPP results is an obligatory requirement for the EU, (that is, at the level of basic headings and below). The pol- where PPP-based indicators are used to set and administer icy respects the access rules of all participating economies, policies, which should depend exclusively on the data of while at the same time facilitating public access as far as EU economies. possible. Aggregate results published in paper publications 164 Global Purchasing Power Parities and Real Expenditures (such as this one) will also be available electronically; more and SGER is the secondary (school) gross enrollment rate. detailed results will be available only electronically. Access to certain data, such as basic-heading data and below, will All three variables are indexed to the corresponding val- be restricted to bona fide researchers. (The full details of ues for the United States (United States = 100). This model the access policy will be provided on the World Bank Web was first estimated using the benchmark results from earlier site: www.worldbank.org/data/icp.) rounds and reestimated when the 1993–96 results became available. Using the preliminary results from ICP 2005, the model Estimation of PPPs for or equation (5) was reestimated to be model or equation Nonbenchmark Economies (6): This section provides estimates of PPP-based GDP per capita for economies not included in the 2005 benchmark Ln(GDP/cap) = .3553 + 0.6994*Ln(GNI/cap) + (6) surveys. ICP 2005 included 146 economies; at least another 0.2292*Ln(SGER) 65 economies or territories did not participate for a variety of reasons, including lack of resources or no national inter- The fit of the model might be improved by including est. Although these nonbenchmark economies account for additional independent variables correlated with factor pro- only a small share of the global economy and population, ductivity and wage differentials because of imperfect labor it is important to include as many of them as possible in a mobility between economies and between trading sectors comprehensive database. and nontrading sectors. However, full exploration of various Each year, the World Bank includes estimates of PPPs model specifications is beyond the scope of this preliminary for nonbenchmark economies in its World Development exercise, which is intended to replicate the existing method Indicators publication and database, relying on an estimat- so that other methods can be compared with it. ing equation using information from the benchmark econo- The above model is used to impute for nonbenchmark mies. The following estimating equation (5) was used to economies (the results are shown in table 8). For a small impute values for missing economies from the previous number of economies whose Atlas GNI per capita of 2005 round (1993–96) of the ICP: are not available, the model or equation (6) is adjusted to replace GNI/cap with GDP per capita in US$ and is reesti- Ln(GDP/cap) = 0.3402 + 0.5851*Ln(GNI/cap) + (5) mated with all available data in model or equation (7): 0.2941*Ln(SGER), Ln(GDP/cap PPP) = 0.1987 + (7) where GDP/cap is the ICP benchmark estimate of GDP 0.7147*Ln(GDP/cap US$) + 0.2422*Ln(SGER) per capita (PPP), The input data and the reference GDP per capita in GNI/cap is gross national income (GNI) per capita in US$ US$ are mainly taken from the World Development Indica- estimated by the World Bank Atlas method, tors database (April 2008). Methodology: Calculating PPPs 165 Table 8 Estimates of 2005 PPP GDP per Capita for Nonbenchmark Economies Estimated Reference Estimated Reference GDP per capita GDP per GDP per capita GDP per Economy (PPP) capita (US$) Economy (PPP) capita (US$) Afghanistan 874 291 Myanmara,b 831 220 Algeria 6,011 3,098 Nicaragua 2,611 889 Antigua and Barbuda 14,579 10,481 Palau 13,012 7,197 Bahamas, Thea,b 23,021 18,421 Panama 8,399 4,791 Barbadosa 15,837 10,427 Papua New Guinea 1,747 815 Belize 7,290 3,820 Samoa 4,872 2,197 Costa Rica 8,661 4,616 San Marino 41,590 50,008 Dominica 8,576 4,170 Seychelles 14,202 8,717 Dominican Republic 5,173 3,115 Solomon Islands 1,712 635 El Salvador 5,403 2,560 St. Kitts and Nevis 13,677 8,932 Eritrea 685 214 St. Lucia 9,279 5,355 Grenada 9,128 4,772 St. Vincent 6,752 3,242 Guatemala 4,897 2,496 Suriname 7,234 3,928 Guyana 3,232 1,073 Timor-Leste 2,203 359 Haiti 1,175 464 Tonga 5,135 2,162 Honduras 3,266 1,214 Trinidad and Tobago 15,352 11,399 Jamaica 7,132 3,660 Turkmenistana 4,247 1,676 Kiribati 3,377 670 United Arab Emirates a 33,487 31,601 Libya 10,804 7,040 Uzbekistan 1,975 558 Marshall Islands 6,206 2,282 Vanuatu 3,477 1,709 Micronesia, Federated States 5,508 2,153 West Bank and Gaza 3,542 1,107 Source: GDP per capita (US$) and GNI per capita (Atlas method) are from the World Development Indicators database (April 2008) a. GDP per capita (PPP) is estimated with model or equation (7). All others are estimated with model or equation (6). b. GDP per capita (US$) is from World Economic Outlook (April 2008). All others are from the World Development Indicators database (April 2008). Appendix A History of The ICP Economic statisticians have long recognized that using larly regarding the extent to which the government and exchange rates to compare the levels of economic activ- private sectors provided health and education services in ity between economies can lead to quite misleading results. different economies. In this respect, the ICP was more than Several projects were initiated in the 1950s and 1960s to two decades ahead of the System of National Accounts, 1993 examine the alternatives to exchange rates for making such (SNA93), which set out the concept of “actual final con- comparisons. In the early 1950s, the Organisation for Euro- sumption expenditure” (defined almost identically to CEP) pean Economic Co-operation (OEEC) produced purchas- as an official national accounts measure. ing power parities (PPPs) for France, the Federal Republic In 1965, the United Nations Statistical Commission of Germany, Italy, the United Kingdom, and the United (UNSC) discussed in some detail the problems inherent States. In the early 1960s, PPP comparisons were carried in exchange rate comparisons and agreed that the United out in Latin America. Around the mid-1960s, the Confer- Nations Statistical Office (UNSO) should develop a more ence of European Statisticians set up a project to make suitable methodology for making international compari- PPP-based comparisons between some market economies sons of activity levels. In 1968, the UNSC considered and some centrally planned economies. Comparisons were a report that outlined a project (to be run from 1968 to also made in the second half of the 1960s between several 1971) aimed at developing PPP-based comparisons for a Eastern European economies by the Council for Mutual small group of economies. It agreed that a project should Economic Assistance (COMECON). Economic statisti- go ahead to develop, test, and document techniques that cians from Hungary and Poland were heavily involved in would lead to more robust international comparisons. The this work. A key initiative was to extend the concept of UNSO had only limited resources available; therefore, the consumption expenditure for the ICP to include individual UNSC requested that other international organizations and consumption expenditure by government along with pri- UN member economies assist in this project. At this stage, vate final consumption expenditure to form an aggregate of the proposal endorsed by the UNSC was to cover GDP total individual consumption called “consumption expen- measured from both the expenditure and production (or diture of the population (CEP).” The aim of measuring output) sides of the national accounts. The work in Phase CEP was to minimize the effect on the volume compari- I concentrated on the expenditure side of the accounts sons of differences in institutional arrangements, particu- because it was less difficult to implement in practice, given 167 168 Global Purchasing Power Parities and Real Expenditures that a single set of expenditures was involved, rather than published in 1978 in International Comparisons of Real both outputs and inputs, which gave rise to the added com- Product and Purchasing Power (Kravis, Heston, and Sum- plexity of double deflation. mers 1978). Later in 1968, the UN International Comparison Proj- For Phase III, ICP product lists were modified in con- ect (ICP) was developed as a joint undertaking between sultation with a number of economies, including India and the UNSO and the University of Pennsylvania, which the COMECON group, to make the ICP product specifica- established a special unit funded by a grant from the Ford tions more generally applicable (for example, by removing Foundation. The World Bank became involved, providing characteristics such as brand names that were specific to financial assistance directly and also through a grant from the United States). The greater diversity of economies in the Scandinavian economies, which was channeled through Phase III meant that the range of products to be priced had the World Bank. The United States Agency for Interna- to be expanded further so that all participating economies tional Development and the United States Social Science could price a sufficient number of products that were rep- Research Council assisted with monetary contributions. resentative of their expenditures. At this time, the project The United Kingdom offered in-kind statistical support for leaders considered the pros and cons of continuing with a participating economies. The director of the UNSO was single global comparison or moving to regional compari- responsible for supervising the project. An advisory board, sons that would be linked to produce worldwide results. which had been set up to provide technical advice, consid- The trade-off involved was that regionalizing the project ered detailed proposals for the project at a meeting held in should lead to improved comparisons between economies October 1969. within a region, but at the expense of the comparisons Phase I of the ICP was run in two stages. The first was a between economies in different regions because of the dif- pilot project based on data collected for 1967 for six econo- ficulties inherent in linking results between regions. In the mies (Hungary, India, Japan, Kenya, the United Kingdom, event, Phase III went ahead as a single global comparison, and the United States). The second stage was benchmarked although some regional results were presented, having been to 1970. Another four economies (Colombia, France, the calculated for the relevant economies from the globally Federal Republic of Germany, and Italy), which had not based results. Details were released in 1982 in World Prod- been able to report the necessary data for 1967, were uct and Income: International Comparisons of Real Gross included in this stage. The output consisted of a number Product (Kravis, Heston, and Summers 1982). of different sets of estimates, including multilateral com- There was a large increase—from 30 to 60—in the parisons between all 10 economies for GDP and a range number of economies participating in Phase IV of the ICP, of its components for 1970. The results of Phase I were benchmarked to 1980. Some major changes also occurred released in A System of International Comparisons of Gross in this round. The University of Pennsylvania ended its Product and Purchasing Power (Kravis and others 1975). involvement in the benchmark comparisons and handed Details presented in this publication include the overall over responsibility to the UNSO. Another significant results of the multilateral comparison for 1970, a variety of change was the regionalization of the ICP for the first time. bilateral comparisons for both 1967 and 1970, and the out- The large number of economies involved from all around comes from various experiments on important issues (such the world was partly behind the regionalization. Another as rents, motor vehicle prices, and the consistency of some important factor was the decision by the OECD to set up different quantity comparisons). a PPP program for its member economies in conjunction Phase II involved a further six economies, initially for a with the PPP program being run by Eurostat for econo- broader comparison for 1970, but with the main aim being mies in what is now the European Union. Apart from the to update the PPPs and associated statistics to 1973. The Eurostat-OECD “region,” the other regions involved in six extra economies included in Phase II of the ICP were Phase IV were Africa, Asia and the Pacific (Asia-Pacific), Belgium, Iran, Korea, Malaysia, the Netherlands, and the and Latin America. Regions were linked using a “core coun- Philippines. Detailed results for the 16 economies were try” (sometimes called a “bridge country”) approach, in Appendix A 169 which selected economies priced some product specifica- Relationship of the ICP with the tions from another region to provide a relationship, or link, Eurostat-OECD PPP program between their region and the other region. Phase V of the ICP saw only a small increase in the Eurostat started a PPP program for a handful of European number of economies participating (from 60 to 64), with Economic Community (EEC) economies in the late 1960s, a number of new economies replacing some that had been and (as noted above) three of these economies (France, the in Phase IV, but had dropped out of Phase V. Once again, a Federal Republic of Germany, and Italy) also provided data regional approach was adopted. The regions included were for Phase I of the ICP. In the early 1980s, the OECD joined Africa, Asia-Pacific, the Caribbean, and Eurostat-OECD. In with Eurostat in running an expanded PPP program. The addition, three Eastern European economies were added aim was to cover all the OECD economies (at that time, to Western Europe, using Austria as a link country. The all the economies in what is now the European Union were core country approach was used again to link regions, but also OECD member economies). In effect, the expansion some of the links were problematic because of difficulties was aimed at incorporating Australia, Canada, Japan, New encountered by several core countries in collecting a suf- Zealand, and the United States into the PPP program, an ficiently broad range of prices for products from the “other” outcome that was achieved for the 1985 round. At that time, region. the Eurostat-OECD PPP program was being run every five Phase VI of the ICP, benchmarked to 1993, was an years. However, after the 1990 round, a decision was made ambitious project aimed at producing PPP-based compari- to shorten the gap between rounds to three years. Twenty- sons for 118 economies around the world. However, it was four economies participated directly in the 1993 Eurostat- beset by difficulties from the outset. Lack of funding was OECD round. A number of Eastern European economies, the major problem, although the lack of overall project Russia, and the CIS member economies also participated coordination also led to some major deficiencies in the final in a special round whose results were linked into the Euro- outcome. Although the 1993 ICP round produced some stat-OECD results, using Austria as a link country. reasonable results, it proved virtually impossible to link the The Eurostat-OECD PPP program continued to include regions with each other or with the results from the Euro- a number of non-OECD and non-EU member economies stat-OECD PPP program, which was also benchmarked to for each of the 1996, 1999, and 2002 rounds. The numbers 1993. A major review of the ICP was commissioned as a of economies participating in each of those rounds were 32, result of the failure of this round. This led to the introduc- 43, and 42, respectively. tion of major changes in the 2005 ICP regarding funding, governance, and linking of regional results. Appendix B Governance of the ICP 2005 A review of the 1993 ICP concluded that one of its major The Global Office was established in 2002 within the shortcomings was the lack of formal governance. In par- World Bank in Washington, DC, to carry out the day-to- ticular, there was insufficient coordination between regions, day work required to implement the ICP worldwide. The which meant that the processes were not standardized and Global Manager was responsible for its operations, sup- the results inconsistent. At the outset of the 2005 ICP, the ported by a team of professional statisticians and admin- World Bank implemented a governance structure to ensure istrative staff. The global office reported regularly to the that consistent results would be produced in each region Executive Board, with annual work programs and budgets by coordinating the work globally, establishing a single set requiring the approval of the Board. Important activities of standards, providing centralized technical and practical carried out by the global office and its external consultants guidance, and ruling on issues that had the potential to be were the development of ICP standards, the preparation interpreted in different ways in the regions. Several tiers of of the framework to determine the goods and services to governance were necessary, ranging from worldwide coor- be priced, preparing the ICP 2003–2006 Handbook and dinating groups to regional bodies. However, the basic level the ICP Operational Manual, producing the software for of governance comprised the national coordinators in each countries to edit and input prices data (the “ToolPack” sys- economy to ensure that the relevant agencies in their econ- tem), analyzing data collected for the ICP, and aggregating omy approached the ICP with a consistent aim as to what the prices and national accounts data within and between was required and how to achieve it. regions. Since its inception, the global office has been sub- The Executive Board was established to provide stra- ject to the World Bank’s administrative and fiduciary rules tegic leadership and make decisions about priorities, stan- and regulations. On day-to-day activities, the global office dards, the overall work program, and the budget. It also had reported to the director of the World Bank’s Development a key role in providing oversight of the activities of the ICP Data Group. It also regularly prepared reports for the Exec- global office. The Board members are eminent economists/ utive Board and the UNSC. statisticians and experienced statistical managers. Many The Technical Advisory Group (TAG) was responsible are heads of national statistical offices or of the statistics for providing advice on technical issues related to the ICP. departments in international organizations, while others The TAG’s responsibilities were to resolve conceptual and are managers of economic statistics divisions, having skills methodological matters. The TAG members, appointed by and experience in national accounts or price statistics. the Executive Board, were all internationally known experts 171 172 Global Purchasing Power Parities and Real Expenditures in the fields of prices or national accounts. To overcome coordinator were to ensure that the economy’s ICP data shortcomings of previous rounds, several major method- (national accounts, prices, and wages) were correctly esti- ological improvements were implemented, with the TAG mated, that statistical and field staff (involved in collect- providing technical advice. ing prices) were trained in the concepts underlying the ICP Regional offices coordinated ICP work in each of the and the practical implications for collecting prices, that data five geographic regions (Africa, Asia-Pacific, Common- were edited and entered into the ICP database, and that wealth of Independent States, Latin America, and Western editing queries from the regional coordinator were handled Asia) through the African Development Bank (AfDB); the promptly. The national coordinators also attended the data Asian Development Bank (ADB); the Statistical Office of validation workshops that were held in each of the regions the Commonwealth of Independent States (CISSTAT), in to check the consistency of the data supplied within each partnership with the State Statistical Service of the Russian region. Federation (Rosstat) and the Bureau of Economic Analy- There was close liaison between the World Bank, Euro- sis (Moscow); Statistics Canada, in cooperation with the stat, and OECD during both the planning and operational Economic Commission for Latin America and the Carib- phases of the 2005 ICP. The aim was to incorporate the bean (ECLAC); and the Economic and Social Commission Eurostat-OECD results directly into the ICP by treating for Western Asia (ESCWA). In addition, the economies the Eurostat-OECD program as a sixth “region” in the included in the regular PPP program run by OECD and world for ICP purposes. The techniques used by Eurostat Eurostat were treated as though they were in an autono- and OECD differ in some respects from those used in the mous region for the purposes of incorporating their esti- other regions because the Eurostat-OECD program has mates into the worldwide estimates. developed particular methods over the years that could not In most economies, different agencies were involved in always be replicated in other regions. However, the close providing the national accounts and prices data for the ICP. relationships between the coordinating organizations have In such cases, one agency was nominated as the national meant that the results could be satisfactorily integrated coordinating office, and within that agency a national ICP with each other despite the different procedures used. coordinator was appointed. The main roles of the national Appendix C The ICP Classification of Expenditure on GDP Codea Description Codea Description 100000 GROSS DOMESTIC PRODUCT 110115 Oils and fats 110000 FINAL CONSUMPTION EXPENDITURE 110115.1 Butter and margarine BY HOUSEHOLDS 110115.3 Other edible oils and fats 110100 FOOD AND NONALCOHOLIC BEVERAGES 110116 Fruit 110110 Food 110116.1 Fresh or chilled fruit 110111 Bread and cereals 110116.2 Frozen, preserved, or processed fruit and 110111.1 Rice fruit-based products 110111.2 Other cereals, flour, and other cereal products 110117 Vegetables 110111.3 Bread 110117.1 Fresh or chilled vegetables other than potatoes 110111.4 Other bakery products 110117.2 Fresh or chilled potatoes 110111.5 Pasta products 110117.3 Frozen, preserved, or processed vegetables and vegetable-based products 110112 Meat 110118 Sugar, jam, honey, chocolate, and confectionery 110112.1 Beef and veal 110118.1 Sugar 110112.2 Pork 110118.2 Jams, marmalades, and honey 110112.3 Lamb, mutton, and goat 110118.3 Confectionery, chocolate, and ice cream 110112.4 Poultry 110119 Food products n.e.c. 110112.5 Other meats and meat preparations 110119.1 Food products n.e.c. 110113 Fish 110120 Nonalcoholic beverages 110113.1 Fresh, chilled, or frozen fish and seafood 110121 Coffee, tea, and cocoa 110113.2 Preserved or processed fish and seafood 110121.1 Coffee, tea, and cocoa 110114 Milk, cheese, and eggs 110122 Mineral waters, soft drinks, and fruit and vegetable 110114.1 Fresh milk juices 110114.2 Preserved milk and other milk products 110122.1 Mineral waters, soft drinks, and fruit and vegetable 110114.3 Cheese juices 110114.4 Eggs and egg-based products 173 174 Global Purchasing Power Parities and Real Expenditures Codea Description Codea Description 110200 ALCOHOLIC BEVERAGES, TOBACCO, AND 110442 Miscellaneous services relating to the dwelling NARCOTICS 110442.1 Miscellaneous services relating to the dwelling 110210 Alcoholic beverages 110450 Electricity, gas, and other fuels 110211 Spirits 110451 Electricity 110211.1 Spirits 110451.1 Electricity 110212 Wine 110452 Gas 110212.1 Wine 110452.1 Gas 110213 Beer 110453 Other fuels 110213.1 Beer 110453.1 Other fuels 110220 Tobacco 110221 Tobacco 110500 FURNISHINGS, HOUSEHOLD EQUIPMENT, 110221.1 Tobacco AND ROUTINE MAINTENANCE OF THE HOUSE 110230 Narcotics 110510 Furniture and furnishings, carpets, and other 110231 Narcotics floor coverings 110231.1 Narcotics 110511 Furniture and furnishings 110511.1 Furniture and furnishings 110300 CLOTHING AND FOOTWEAR 110512 Carpets and other floor coverings 110310 Clothing 110512.1 Carpets and other floor coverings 110311 Clothing materials, other articles of clothing, and 110513 Repair of furniture, furnishings, and floor clothing accessories coverings 110311.1 Clothing materials, other articles of clothing, and 110513.1 Repair of furniture, furnishings, and floor coverings clothing accessories 110520 Household textiles 110312 Garments 110521 Household textiles 110312.1 Garments 110521.1 Household textiles 110314 Cleaning, repair, and hire of clothing 110530 Household appliances 110314.1 Cleaning, repair, and hire of clothing 110531 Major household appliances, whether electric 110320 Footwear or not 110321 Shoes and other footwear 110531.1 Major household appliances, whether electric 110321.1 Shoes and other footwear or not 110322 Repair and hire of footwear 110532 Small electric household appliances 110322.1 Repair and hire of footwear 110532.1 Small electric household appliances 110533 Repair of household appliances 110400 HOUSING, WATER, ELECTRICITY, 110533.1 Repair of household appliances GAS, AND OTHER FUELS 110540 Glassware, tableware, and household utensils 110410 Actual and imputed rentals for housing 110541 Glassware, tableware, and household utensils 110411 Actual and imputed rentals for housing 110541.1 Glassware, tableware, and household utensils 110411.1 Actual and imputed rentals for housing 110550 Tools and equipment for house and garden 110430 Maintenance and repair of the dwelling 110551 Major tools and equipment 110431 Maintenance and repair of the dwelling 110551.1 Major tools and equipment 110431.1 Maintenance and repair of the dwelling 110552 Small tools and miscellaneous accessories 110440 Water supply and miscellaneous services 110552.1 Small tools and miscellaneous accessories relating to the dwelling 110560 Goods and services for routine household 110441 Water supply maintenance 110441.1 Water supply Appendix C 175 Codea Description Codea Description 110561 Nondurable household goods 110724 Other services in respect of personal transport equipment 110561.1 Nondurable household goods 110724.1 Other services in respect of personal transport 110562 Domestic services and household services equipment 110562.1 Domestic services 110730 Transport services 110562.2 Household services 110731 Passenger transport by railway 110731.1 Passenger transport by railway 110600 HEALTH 110732 Passenger transport by road 110610 Medical products, appliances, and equipment 110732.1 Passenger transport by road 110611 Pharmaceutical products 110733 Passenger transport by air 110611.1 Pharmaceutical products 110733.1 Passenger transport by air 110612 Other medical products 110734 Passenger transport by sea and inland waterway 110612.1 Other medical products 110734.1 Passenger transport by sea and inland waterway 110613 Therapeutic appliances and equipment 110735 Combined passenger transport 110613.1 Therapeutic appliances and equipment 110735.1 Combined passenger transport 110620 Outpatient services 110736 Other purchased transport services 110621 Medical services 110736.1 Other purchased transport services 110621.1 Medical services 110622 Dental services 110800 COMMUNICATION 110622.1 Services of dentists 110810 Postal services 110623 Paramedical services 110811 Postal services 110623.1 Paramedical services 110811.1 Postal services 110630 Hospital services 110820 Telephone and telefax equipment 110631 Hospital services 110821 Telephone and telefax equipment 110631.1 Hospital services 110821.1 Telephone and telefax equipment 110700 TRANSPORT 110830 Telephone and telefax services 110710 Purchase of vehicles 110831 Telephone and telefax services 110711 Motor cars 110831.1 Telephone and telefax services 110711.1 Motor cars 110712 Motorcycles 110900 RECREATION AND CULTURE 110712.1 Motorcycles 110910 Audiovisual, photographic, and information- 110713 Bicycles processing equipment 110713.1 Bicycles 110911 Audiovisual, photographic, and information- 110714 Animal-drawn vehicles processing equipment 110714.1 Animal-drawn vehicles 110911.1 Audiovisual, photographic, and information- processing equipment 110720 Operation of personal transport equipment 110914 Recording media 110722 Fuels and lubricants for personal transport equipment 110914.1 Recording media 110722.1 Fuels and lubricants for personal transport 110915 Repair of audiovisual, photographic, and equipment information-processing equipment 110723 Maintenance and repair of personal transport 110915.1 Repair of audiovisual, photographic, and equipment information-processing equipment 110723.1 Maintenance and repair of personal transport 110920 Other major durables for recreation and culture equipment 110921 Major durables for outdoor and indoor recreation 110921.1 Major durables for outdoor and indoor recreation 176 Global Purchasing Power Parities and Real Expenditures Codea Description Codea Description 110923 Maintenance and repair of other major durables 111212 Appliances, articles, and products for personal for recreation and culture care 110923.1 Maintenance and repair of other major durables 111212.1 Appliances, articles, and products for personal care for recreation and culture 111220 Prostitution 110930 Other recreational items and equipment, gardens, 111221 Prostitution and pets 111221.1 Prostitution 110931 Other recreational items and equipment 111230 Personal effects n.e.c. 110931.1 Other recreational items and equipment 111231 Jewelry, clocks, and watches 110933 Gardens and pets 111231.1 Jewelry, clocks, and watches 110933.1 Gardens and pets 111232 Other personal effects 110935 Veterinary and other services for pets 111232.1 Other personal effects 110935.1 Veterinary and other services for pets 111240 Social protection 110940 Recreational and cultural services 111241 Social protection 110941 Recreational and sporting services 111241.1 Social protection 110941.1 Recreational and sporting services 111250 Insurance 110942 Cultural services 111251 Insurance 110942.1 Cultural services 111251.1 Insurance 110943 Games of chance 111260 Financial services n.e.c. 110943.1 Games of chance 111261 Financial intermediation services indirectly 110950 Newspapers, books, and stationery measured (FISIM) 110951 Newspapers, books, and stationery 111261.1 Financial intermediation services indirectly 110951.1 Newspapers, books, and stationery measured (FISIM) 110960 Package holidays 111262 Other financial services n.e.c 110961 Package holidays 111262.1 Other financial services n.e.c. 110961.1 Package holidays 111270 Other services n.e.c. 111271 Other services n.e.c. 111000 EDUCATION 111271.1 Other services n.e.c. 111010 Education 111011 Education 111300 BALANCE OF EXPENDITURES OF RESIDENTS ABROAD AND EXPENDITURES 111011.1 Education OF NONRESIDENTS ON THE ECONOMIC TERRITORY 111100 RESTAURANTS AND HOTELS 111310 Balance of expenditures of residents abroad 111110 Catering services and expenditures of nonresidents on the economic territory 111111 Catering services 111111.1 Catering services 111311 BALANCE OF EXPENDITURES OF 111120 Accommodation services RESIDENTS ABROAD AND EXPENDITURES 111121 Accommodation services OF NONRESIDENTS ON THE ECONOMIC TERRITORY 111121.1 Accommodation services 111311.1 Final consumption expenditure of resident households in the rest of the world 111200 MISCELLANEOUS GOODS AND SERVICES 111311.2 Final consumption expenditure of nonresident 111210 Personal care households on the economic territory 111211 Hairdressing salons and personal grooming establishments 120000 INDIVIDUAL CONSUMPTION EXPENDITURE 111211.1 Hairdressing salons and personal grooming BY NPISHS establishments Appendix C 177 Codea Description Codea Description 120100 INDIVIDUAL CONSUMPTION EXPENDITURE 130400 EDUCATION BY NPISHS 130410 Education benefits and reimbursements 120110 Individual consumption expenditure by NPISHs 130411 Education benefits and reimbursements 120111 Individual consumption expenditure by NPISHs 130411.1 Education benefits and reimbursements 120111.1 Individual consumption expenditure by NPISHs 130420 Production of education services 130421 Compensation of employees 130000 INDIVIDUAL CONSUMPTION EXPENDITURE 130421.1 Compensation of employees (primary, secondary, BY GOVERNMENT and postsecondary education) 130422 Intermediate consumption 130100 HOUSING 130422.1 Intermediate consumption 130110 Housing 130423 Gross operating surplus 130111 Housing 130423.1 Gross operating surplus 130111.1 Housing 130424 Net taxes on production 130424.1 Net taxes on production 130200 HEALTH 130425 Receipts from sales 130210 Health benefits and reimbursements 130425.1 Receipt from sales 130211 Medical products, appliances, and equipment 130211.1 Pharmaceutical products 130500 SOCIAL PROTECTION 130211.2 Other medical products 130510 Social protection 130211.3 Therapeutic appliances and equipment 130511 Social protection 130212 Health services 130511.1 Social protection 130212.1 Outpatient medical services 130212.2 Outpatient dental services 140000 COLLECTIVE CONSUMPTION 130212.3 Outpatient paramedical services EXPENDITURE BY GOVERNMENT 130212.4 Hospital services 140100 COLLECTIVE SERVICES 130220 PRODUCTION OF HEALTH SERVICES 140110 Collective services 130221 Compensation of employees 140111 Compensation of employees 130221.1 Compensation of employees (physicians, 140111.1 Compensation of employees (defense and nurses, and other medical and nonmedical staff) nondefense collective services) 130222 Intermediate consumption 140112 Intermediate consumption 130222.1 Intermediate consumption 140112.1 Intermediate consumption 130223 Gross operating surplus 140113 Gross operating surplus 130223.1 Gross operating surplus 140113.1 Gross operating surplus 130224 Net taxes on production 140114 Net taxes on production 130224.1 Net taxes on production 140114.1 Net taxes on production 130225 Receipts from sales 140115 Receipts from sales 130225.1 Receipts from sales 140115.1 Receipts from sales 130300 RECREATION AND CULTURE 150000 EXPENDITURE ON GROSS FIXED CAPITAL FORMATION 130310 Recreation and culture 130311 Recreation and culture 130311.1 Recreation and culture 178 Global Purchasing Power Parities and Real Expenditures Codea Description Codea Description 150100 MACHINERY AND EQUIPMENT 150230 Civil engineering works 150110 Metal products and equipment 150231 Civil engineering works 150111 Fabricated metal products, except machinery 150231.1 Civil engineering works and equipment [CPA 28.11 to 28.75] 150300 OTHER PRODUCTS 150111.1 Fabricated metal products, except machinery 150310 Other products and equipment 150311 Other products 150112 General purpose machinery [CPA 29.11 to 29.24] 150311.1 Other products 150112.1 General purpose machinery 150113 Special purpose machinery 160000 CHANGES IN INVENTORIES AND [CPA 29.31 to 29.72] ACQUISITIONS, LESS DISPOSALS OF VALUABLES 150113.1 Special purpose machinery 150114 Electrical and optical equipment [CPA 30.01 to 33.50] 160100 CHANGES IN INVENTORIES 150114.1 Electrical and optical equipment 160110 Changes in inventories 150115 Other manufactured goods n.e.c. 160111 Changes in inventories [CPA 36.11 to 36.63] 160111.1 Opening value of inventories 150115.1 Other manufactured goods n.e.c. 160111.2 Closing value of inventories 150120 Transport equipment 150121 Road transport equipment 160200 ACQUISITIONS, LESS DISPOSALS [CPA 34.10 to 34.30 and 35.41 to 35.50] OF VALUABLES 150121.1 Motor vehicles, trailers, and semitrailers 160210 Acquisitions, less disposals of valuables 150121.2 Other road transport 160211 Acquisitions, less disposals of valuables 150122 Other transport equipment [CPA 35.11 to 35.30] 160211.1 Acquisitions of valuables 150122.1 Other transport equipment 160211.2 Disposals of valuables 150200 CONSTRUCTION 170000 BALANCE OF EXPORTS AND IMPORTS 150210 Residential buildings 150211 Residential buildings 170100 BALANCE OF EXPORTS AND IMPORTS 150211.1 Residential buildings 170110 Balance of exports and imports 150220 Nonresidential buildings 150221 Nonresidential buildings 170111 BALANCE OF EXPORTS AND IMPORTS 150221.1 Nonresidential buildings 170111.1 Exports of goods and services 170111.2 Imports of goods and services Source: ICP 2005. Note: n.e.c. = not elsewhere classified. a. Basic headings are shown as seven-digit numbers. Appendix D Productivity Adjustment in the Government Sector The compensation of government employees, which was Productivity, measured as output per worker, depends used in the ICP to price government services, shows large on the amount of capital available per worker, as in equa- variation between economies at different levels of develop- tion (D2): ment. Some of this variation is the result of differences in 1–A productivity. For example, in Asia-Pacific, average compen- YG KG (D2) = C , sation (based on exchange rates) in the government health LG 0 LG sector of Hong Kong (China) was about 120 times higher than in Lao PDR. If no productivity adjustments were Because the government-specific capital-labor ratio (KG / made, economies such as Vietnam, Cambodia, or Lao PDR LG ) cannot be directly measured, the capital intensity of would be seen as having per capita levels of real consump- government in each economy was assumed to be propor- tion of government services comparable to, or even much tional to the capital-labor ratio for the whole economy, K/L. higher than, that of Hong Kong (China), and even the level Rewriting equation (D2) to take into account this assump- of real GDP would be affected for those economies. tion yields equation (D3): To adjust government compensation for productiv- 1–α ity, government production is assumed to follow a Cobb- YG K (D3) = C , Douglas functional form with constant returns to scale, as LG 1 L in equation (D1): The capital stock was estimated using the perpetual YG = C0 L G α KG 1–α , (D1) inventory method with geometric decline, as in equation (D4): where output (YG ) is a function of labor (LG ) and the capi- 2005 It tal stock (KG) with labor and capital shares of a and (1–a), K2005 = Σ , (D4) t = 1981 (1 + .05) 2005–t respectively, and where It is investment in year t the scale parameter (c) depends on the units of measurement. and .05 is the assumed depreciation rate. 179 180 Global Purchasing Power Parities and Real Expenditures Sufficient data to estimate capital stocks was available Because productivity in government depends upon in only a limited number of countries. In these countries, the real level of economy wide output (Y), which in the capital-output ratio (K/Y) was found to vary from 2.5 turn depends upon the productivity adjustment applied to 3.5, with the value increasing in high-income econo- to government services, equation (D5) was to be solved mies. Therefore, values of 2.5, 3.0, and 3.5 were used for iteratively.7 low-, middle-, and high-income economies, respectively. The effects of productivity adjustment vary within each Similarly, empirical studies have found values of a to be in region and across the regions. For example, the adjustment the range of 0.5 to 0.7 for low- to high-income economies, factor for Mongolia was found to be 0.24, meaning that, respectively. compared with Hong Kong (China), per capita consump- With the estimate of the capital stock and data on labor tion of government services in Mongolia was adjusted to force, labor productivity can be estimated iteratively from about a quarter of what it would have been in the absence the identity, as in equation (D5):6 of any adjustment; the reduction was even larger for Viet- nam and Lao PDR. 1–α 1–α YG KG YG = c = c . KG (D5) LG LG LG LG 6. The Cobb-Douglas production function for the whole economy depends on both the quality and quantity of labor and capital. Whereas we can assume that the quality of capital is reflected in its price, and thus is included in our value estimates, differences in the quality of labor are harder to measure because they reflect cross-country differences in professional composition, education, skills, and so forth. For our purposes, we assume that we collect salaries for equivalent qualifications for the government sector, and that therefore LG refers to standard quality of labor employed in the government sector across countries. 7. First iteration is computed with no adjustment. Then the results for Y/L are inserted back into equation (D5). It takes several iterations to converge to the solution, given 0.01 percent target tolerances. Appendix E Estimating Average Prices for Household Consumption Items of China In China, ICP price surveys, conducted by the National 31 provinces in China was used to group them into Bureau of Statistics of China (NBS), for household con- four analytical clusters: Capitals, Coastal, Northeast, sumption items covered the 11 municipalities of Beijing, and Inner China. Each of the 11 municipalities is Shanghai, Ningbo, Qingdao, Guangzhou, Xiamen, Dalian, included in only one of the four analytical clusters. Harbin, Wuhan, Chongqing, and Xi’an. Data were col- m Weights for the eight expenditure categories from lected from outlets in both the cities proper and surround- each of the urban and rural areas of the 31 provinces ing areas. However, the computation of purchasing power were allocated to the corresponding average price parity (PPP) data requires both average prices and GDP data collected from the 11 municipalities within the weights at the national level. The Asian Development Bank four analytical clusters. (ADB) convened an expert group8 on June 19–20, 2006, m Using these weights, the average prices were esti- to develop a procedure for extrapolating the data from the mated for each household consumption item. PPPs 11 municipalities to the national level. The expert group for the basic headings in household consumption agreed on the following steps: were calculated using these average prices. m Average prices for each of the 11 cities proper and, m For government consumption expenditure, NBS separately, the surrounding areas were computed at also provided data on compensation of government the product level by NBS and submitted to ADB. employees for the 11 cities. However, because the However, the national annual average prices are not China Statistical Yearbook had national-level figures official estimates of the NBS, but were computed by for government compensation, these figures were the ADB and the World Bank. used in estimating PPPs for both individual and col- m Per capita household expenditures by nine expendi- lective consumption. ture categories9 were derived from China urban and m For gross fixed capital formation, prices for construc- rural household income and expenditure surveys, tion goods were collected for three cities only, and and population data for urban and rural areas for all those for machinery and equipment were collected 31 provinces of China were taken from the China in 11 cities in which the type of equipment could be Statistical Yearbook (2007). found that matched the specifications. This is consis- m A principal-components analysis of urban and rural tent with methodology used in other economies and per capita household expenditure structures of the regions; thus, no extrapolation was required. 181 182 Global Purchasing Power Parities and Real Expenditures m The national accounts data for China as a whole of international experts on the recommendation of (rather than for the 11 municipalities) were used as the expert group constituted by the regional office. the starting point for allocating the expenditures on GDP to the 155 basic headings required for the ICP. (For more information on the calculation of average These national data were disaggregated using detailed prices for China, see appendix 1 of the Asian Develop- data sources such as national household income and ment Bank’s final report on the ICP program in Asia-Pacific expenditure surveys and government expenditure [http://adb.org/Documents/Reports/ICP-Purchasing- data. This exercise was carried out at NBS by a team Power-Expenditures/appendixes.pdf]). 8. The members of the expert group came from the Asian Devel- opment Bank, the Australian Bureau of Statistics, the National Bureau of Statistics of China, and the World Bank. 9. The nine categories are: food; clothing; household appliances and services; health care and medical services; transport and com- munication; education; cultural and recreation services; residence; and other goods and services Appendix F Comparison of Methodology Used between ICP and Eurostat-OECD Regions to Compute PPPs and Calibrate Them to the Global Level Overview of issues for each aggregate will be provided. First, more details will be provided about how the Eurostat-OECD The ICP is a complex statistical program that has been entered into the global comparison and then how the CIS under way since 1968. Over this time span, a variety of region was linked. methodologies have been developed to solve problems Results for five regions (Africa, Asia-Pacific, South Amer- encountered in previous rounds and also to deal with the ica, Western Asia, and Eurostat-OECD) were calibrated to increasing scope of the comparison. The economies par- the global level using prices from the ring comparison to ticipating in the ICP were divided into five regions for the compute between-region basic-heading PPPs, which were 2005 ICP. These plus the Eurostat-OECD PPP program used as the linking factors at each level of aggregation. The included 146 economies in the global comparison. Each United States was the numeraire country in the Eurostat- region and the Eurostat-OECD differ in the size and struc- OECD, which was also the numeraire region when com- ture of their economies, as well as statistical capacity. Deci- puting the linking factors. sions were made during the developmental stages to ensure that the comparisons of economies within each region were as consistent as possible. As a result, methodologies differed Bringing the Eurostat-OECD and between regions, which became a factor when the regional CIS into the Global Comparison results were calibrated to the global level. The purpose of The Eurostat-OECD managed a separate comparison from this appendix is to provide an overview of what was done the ICP. However, Eurostat-OECD participated in the ring in each region, how the regional results were combined at comparison so that its results could be combined with the the global level, and the resulting impact on the final PPPs. rest of the world. The CIS did not participate in the ring Table F1 provides a summary of the methodology used comparison; therefore, its regional results could not be to estimate basic-heading PPPs for major aggregates of calibrated to the globe using that methodology. Russia GDP by region. It also shows how the aggregate regional traditionally participates in the triennial OCED compari- PPPs were linked for the global comparison. A brief review son. Russia priced the OECD list and was included in the 183 184 Global Purchasing Power Parities and Real Expenditures Table F1 Comparison of methods used to compute regional PPPs and the process to compute global linking factors Western South Eurostat- Combining Aggregate Africa Asia-Pacific Asia America OECD regions CIS (including Russia) (excluding the CIS) (linked via Russia) Household CPD CPD CPD CPRD EKS* CPD EKS* consumption 18 ring countries No repre- No repre- No repre- With repre- With repre- No repre- With repre- sentative sentative sentative sentative sentative sentative sentative indications indications indications indications indications indications indications Housing Imputed to Imputed to Quantity Quantity Rental prices Quantity Quantity per capita per capita indicators indicators plus quantity indicators indicators volume of volume of plus rental indicators for 106 consumption, consumption, prices economies excluding excluding rents rents Compensation Global list Global list Global list Global list Regional list Wages for 75 Regional list ICP economies plus 5 from Eurostat CPD CPD CPD CPD EKS No productivity EKS productivity productivity productivity Ring countries adjustment adjustment, adjustment adjustment priced global list Equipment Global list Global list Global list Global list Regional list Global list Regional list CPD, PPPs CPD CPD CPD EKS CPD imputed for 17 Ring countries For ring EKS economies priced global countries list Construction Basket of Basket of Basket of Basket of Bill of quantity Basket of CIS basket of construction construction construction construction Ring countries construction construction components components components components priced basket components components CPD, PPPs CPD, with CPD, with CPD, with of construction CPD with regional regional W2 regional W2 regional W2 components Ring countries W2 weights weights No W2 imputed for weightsa 15 economies NPISH Expenditures Expenditures Expenditures Expenditures Reference Expenditures Reference allocated to allocated to allocated to allocated to PPPs for allocated PPPs for other BHs other BHs other BHs other BHs NPISHs to other BHs NPISHs Aggregation Iklé EKS EKS EKS EKS EKS EKS to GDP Source: ICP Global Office. a. In the Basket of Construction Component method, W2 weights are used to combine components into systems that represent the various stages in which construction projects are carried out. Appendix F 185 Eurostat-OECD results, with fixity maintained from that The CPD method was chosen because it is more robust point to the global report. Russia also participated in the when the price matrix has missing data, and it provides CIS comparison. Therefore, the CIS was linked to the estimates of standard errors. The residuals from the CPD OECD using Russia as the link. regressions were used as a diagnostic tool in the Dikhanov The linking for the Eurostat-OECD and CIS regions tables. was done in the following stages: Eurostat computed basic- The Eurostat-OECD and CIS regions used the EKS* heading PPPs and expenditure weights for 37 economies: method to compute basic-heading PPPs. The primary dif- the 25 EU member states in 2005, the European Free Trade ference between countries using the CPD versus the EKS* Association (EFTA) economies (Iceland, Norway, and Swit- method is that each country in the Eurostat-OECD and zerland), Albania, Bosnia-Herzegovina, Bulgaria, Croatia, CIS regions assigned a code to each product to indicate Macedonia, Montenegro, Romania, Serbia, and Turkey. The whether the product was representative of its economy. It OECD combined these basic-heading PPPs and expendi- is assumed that representative products have lower prices ture weights with those for nine other economies: its seven than other products that, even though comparable, are not non-European member economies plus Russia and Israel. representative of the country’s expenditure patterns. The It then calculated the 2005 Eurostat-OECD comparison in representativity indicator was used as a form of stratifica- stages to ensure that the final results at all levels of aggre- tion that, in effect, imposed implicit weights reflecting the gation respect fixity for three blocs of economies: the 37 number of representative products each country priced. Eurostat economies, the 7 non-European OECD econo- Economies in the Asia-Pacific, Africa, Western Asia, and mies, plus Russia and Israel. This is basically the procedure South America regions that either had not participated in that was followed in the previous 2002 Eurostat-OECD an international comparison for an extended period or had comparison. never participated had difficulty applying the representativ- The CIS economies were linked to the Eurostat-OECD ity concept; therefore, it was not used in their intraregional comparison through Russia (that is, using Russia as a tra- comparisons. None of the regions nor the Eurostat-OECD ditional bridge country because it participated in both the applied the representativity concept to housing, govern- CIS and the Eurostat-OECD comparisons). This in effect ment, equipment, or construction. Nor was it used for the links the CIS economies to other regions through the four ring comparison. ring countries chosen to link Eurostat-OECD economies with the rest of the world. Housing Asia-Pacific and Africa found it difficult to carry out com- Household Consumption parisons for rental and owner-occupied housing using Each region independently prepared lists of products rental surveys or direct comparisons of quality-adjusted consumed by households to be priced for the respective quantities. (These are the methods recommended in the regional comparisons. A list of products was selected from ICP Operational Manual and used by Eurostat-OECD and a composite of these regional lists to be priced by a group CIS.) Most of the comparisons in Eurostat were based on of 18 countries comprising two or more countries repre- rental surveys. Quantity comparisons were carried out in senting each region. The prices from the ring list were used the CIS and linked through a group of EU economies that to compute between-region PPPs, which were used to link did both. South America used the quantity approach, and the regions. Western Asia used a combination of rental survey data and The CPD method of aggregating price ratios to basic- the quantity approach. heading PPPs was used in all regions except the Eurostat- Because the quantity approach did not produce consis- OECD and CIS regions. The CPD method was also used tent results across economies in their region, Asia-Pacific to compute the between-region PPPs at the basic-heading and Africa used the per capita volume of consumption level for the ring comparison. (excluding rents) as an approximation of the volume of 186 Global Purchasing Power Parities and Real Expenditures rental services per capita. This makes rental services neutral because it does not disturb the per capita volumes for private Table F2 household consumption and also assumes that the volumes Real Expenditures per Capita of rental services rise in line with overall expenditures. The reference volume approach is rooted in the observations of Real expenditures per capita the behavior of housing services for large groups of econo- (world = 100%) mies. Table F2 shows the real expenditures per capita by Housing, water, Individual electricity, gas, household region, for both private consumption and housing, which ICP regions and other fuels consumption were obtained using a uniform-quantity approach, with (percent) (percent) quality corrections based on 106 economies. Asia-Pacific 28.2 32.3 The other regions used either rental surveys or quan- South America 83.3 90.8 tity comparisons (or a combination) to compare rental Eurostat-OECD 325.5 317.5 services; therefore, one problem was how to link housing Africa 26.8 24.8 across regions. The method adopted was to use quality- Western Asia 44.7 60.4 adjusted quantities across the regions, based on data from 106 economies (see Heston, Multilateral Housing Compari- Source: ICP global office. sons). This linking was independent of how the regional PPPs were derived. For example, other consumption basic headings were linked by deflating the ring prices by the within-region PPPs, then computing the between-region of salaries for specific occupations. It was recognized that PPPs. The between-region housing PPPs were computed this procedure assumed equal productivity across econo- directly using the quantity-quality data from the 106 econ- mies for a given occupation, which was unlikely, given very omies. The regional total real expenditures as determined different amounts of capital per worker. Further, very low- by the quantity approach were distributed to countries wage economies have less incentive to organize work to within region to observe fixity. This is a somewhat differ- save labor, including those in administrative, health, and ent method from that used in earlier comparisons, which education services. In the 2005 benchmark, the range of will hopefully be improved in the future. However, it does economies was much greater than in previous rounds, and mean that users need to understand that this affects the some consequences of the equal-productivity assumption comparability of rental services when comparing econo- loomed much larger. In Asia-Pacific, for example, salaries mies in Asia-Pacific and Africa with economies in other regions. Real expenditures for rental services could be for the same occupation differ by a factor of 100 between underestimated in economies where both per capita rental Vietnam and Hong Kong (China). Similar differences services and household consumption are below the respec- existed between Yemen and Kuwait in the Western Asia tive regional averages—and overestimated where both are comparison and between the richer and poorer countries above the average. in Africa. Without some adjustment for productivity, the resulting per capita volumes in Yemen or Vietnam would be greatly distorted compared with those of its richer Compensation: General Government neighbors. In contrast, salary differences in South America The services of civil servants and health and education did not exceed a factor of three. employees are typically not priced; rather, the input cost Asia-Pacific, Western Asia, and Africa adjusted the aver- approach was used. Reference PPPs were used for interme- age salaries of each economy for productivity based on esti- diate consumption and consumption of fixed capital. PPPs mates of the capital-to-labor ratio in each economy. This for compensation were derived from a detailed comparison poses a problem of comparability across regions and for Appendix F 187 computing linking factors to estimate global PPPs, because example, Asia-Pacific and the OECD, because the latter Eurostat-OECD, CIS, and South America did not make would not have undergone a productivity adjustment. similar adjustments. An important consideration is that Therefore, linking factors were not adjusted for Asia-Pacific, Africa, Western Asia, and South America used productivity. the same list of occupations for which average wages were The comparison of within-region results with and with- obtained. The Eurostat-OECD ring economies also pro- out productivity adjustments showed that the effect varied vided wages for these occupations. Therefore, it was not by economy. The overall effect of the productivity adjust- necessary to limit the estimation of between-region PPPs ment was to decrease the size of the economies that used it (linking factors) to data from only the ring countries. relative to the Eurostat-OECD. CPD regressions based on compensation data for 75 Also of importance, however, is what the use of produc- economies representing all regions, including the Eurostat- tivity adjustments means for comparing the 2005 results OECD, were used to compute regional linking factors (see for previous benchmarks. Everything else remaining the Heston, Proposal for Linking Compensation). Occupations same, the methods adopted for these sectors have the effect were classified by skill level in the computations. The CPD of producing in some regions a larger spread in real GDP included all economies from South America and Western per capita between rich and poor in 2005 than in previous Asia and a subset of economies from the other regions. A benchmarks. The best way to fully understand the impact further adjustment was made to compensate for differ- of the productivity adjustment on the comparison between ences between economies included and not included in regions (as well for previous benchmarks) is to produce each region. This provided regional linking factors with no results with and without productivity, using the same productivity adjustment. As with housing, the linking fac- methods for all regions. To the extent that reliable data can tors were computed independently of the regional PPPs. be made available, additional studies will be conducted. Should the Between-Region PPPs for Equipment and Construction Linking Factors Also be Adjusted for Asia-Pacific, Africa, Western Asia, and South America Productivity? priced a global set of equipment items and the basket of In retrospect (or in the next round), the optimal solu- construction components; there were no separate ring lists. tion would be to estimate within-region PPPs the same The four ring countries from the Eurostat-OECD region way across all regions so the question would not arise. priced both their regional list and the global specifications. Given the differing methods used in different regions, it Several Africa economies and one Asia-Pacific economy seemed the better course not to make a further productiv- were not able to price all of the basic headings for equip- ity adjustment to the between-region data. First, consider ment and construction. To provide real GDP volumes for comparisons between economies across regions that did all economies, PPPs were imputed for basic headings that a productivity adjustment. The underlying capital-labor lacked data. All economies provided nominal expenditures ratios are rough approximations, so making a productivity from their national accounts for all basic headings, which adjustment would not greatly improve or change the com- were used as weights in combining basic headings to higher- parison between economies in different regions. level aggregates. As for the regions that did not make productivity adjust- ments, the direction of the effect, at least for the OECD, Imputation for Construction, Equipment, and would have been clearly to lower the relative volumes Government Salaries in Africa of government consumption of the other regions, simply because average capital per worker is higher in the OECD Construction. Thirty-five economies submitted complete economies. However, this would not improve the compari- data for construction, government salaries, and equipment. sons between economies at a similar economic level in, for Four countries with data for construction lacked data 188 Global Purchasing Power Parities and Real Expenditures for either equipment or compensation. After eliminating the level of nominal compensation should reflect that of another four with poor quality data, 27 countries with com- consumption. The imputed PLIs were used in the impu- plete data remained. PLI data for these countries were used tation of the construction PLI for the five countries that to estimate the following model by ordinary least squares lacked both construction and compensation data. The miss- regression, as in equation (F1): ing seven PPPs for government compensation were derived as the product of the individual consumption ratio and the PLI (Y) = a1 PLI (X1) + a2 PLI (X2), (F1) exchange rate to the base country. No data, except nominal expenditures from the national where Y is construction, and accounts, are shown for the equipment and construction aggregates for economies where results were imputed. The X1 and X2 are equipment and compensation. gross fixed capital formation (GFCF) aggregate is footnoted where the individual components were imputed. No constant term was included, on the premise that the price of construction should go to zero as the prices of the Nonprofit Institutions Serving input variables go to zero. Using the estimated regression Households coefficients (a1 and a2), the missing values of the construc- tion PLIs were imputed using actual data on equipment Individual consumption expenditures by nonprofit insti- and compensation, where available, or the imputed values, tutions serving households (NPISHs) were combined into where necessary. one basic heading in the ICP 2005 classification. However, Equipment. Out of 48 participating economies in the participating economies were not able to consistently pro- Africa region, 32 submitted equipment prices; for the vide expenditures for this basic heading; therefore, NPISH remaining 16, the exchange rate to the base country (South expenditures in some regions could not be separated from Africa) was used as a reference PPP on the grounds that the expenditures in other consumption categories, making most construction machinery and equipment are obtained it difficult to ensure that basic headings were being consis- through international purchases. No further adjustments tently defined. were made to account for taxes, tariffs, and other charges because countries were not able to produce consistent data. Aggregation to GDP In addition, some countries provide rebates for the taxes, which makes the relative prices close to exchange rates. Estimation of PPPs for higher-level aggregates of GDP in Salaries. Forty-one countries provided data on govern- five regions and the ring were based on the EKS method. ment compensation. For the seven missing countries, the Africa alone used the Iklé method, which provides results PLI for government compensation was imputed from the with additivity. Even though the Iklé method’s results can nominal individual consumption ratio. (The nominal indi- contain some Gerschenkron effect, the Africa Iklé results vidual consumption ratio is the value of a country’s individ- in general were quite close to the EKS. The region desired ual consumption per capita [in U.S. dollars] divided by the the additivity restriction because it is easier to explain to same for the base country.) This procedure was adopted users how to construct aggregates and subaggregates of on the premise that the level of compensation determines, GDP volumes. in large part, the level of individual consumption; hence, Appendix G Comparisons of New 2005 PPPs with Those Estimated by Extrapolating from Previous Benchmark Surveys The purpose of this appendix is to explain why the new Table G1 provides a summary by economy of the data PPPs differ from the previous estimates for 2005, based from the new benchmark, compared with extrapolated on extrapolations from the previous benchmark surveys estimates from earlier data. The footnote indicates an econ- as published by the World Bank in the World Development omy not in the 1993 comparison, whose estimates were Indicators (WDI). imputed using the regression model described in part II, The previous PPP estimates for 2005 for economies in Estimation of PPPs for Non-Benchmark Countries. The the OECD and CIS, which participate in the periodic Euro- table shows total GDP and GDP per capita in PPP and U.S. stat comparison, were based on the most recent benchmark dollars for the ICP 2005 and WDI 2005 sources. Note that exercise in 2002 (OECD) and for 1999 (CIS). Their PPPs the differences for exporting economies are mostly posi- were extrapolated to 2005 using GDP deflators. The PPPs tive. The final two columns show the GDP in U.S. dollars for the remaining economies came from two sources. In as used in the ICP compared with the WDI database. The 1993, about 70 economies from Africa, Asia-Pacific, Latin global ICP report used values for GDP and its components America, and Western Asia participated in the ICP price submitted by the economies to their regional coordinators, collection. Their PPPs have been extrapolated from that which, in some cases, differ from those in the WDI. The benchmark to 2005, also using GDP deflators. PPPs for economies went to considerable effort to improve their the remaining economies, except China, were imputed by national accounts, but not all have been included in the regression (as described in the section on imputing for non- WDI because of the lack of consistent time series or other benchmark economies in this report). PPPs for China were discrepancies with values in the WDI database. based on a research study using 1986 data, which provides Once the estimations are obtained for the benchmark a bilateral comparison with the United States. India last year, PPPs and the associated PPP-adjusted GDP per capita participated in the ICP in 1985, so the regression was used estimates for both benchmark and nonbenchmark econo- to estimate the 2005 number. Taken together, this set of mies are extrapolated backward and forward to create extrapolated estimates are referred to as the “WDI 2005 time series. For PPPs, this is done using the local rate of estimates,” because they appeared in the World Develop- inflation (measured by the GDP deflator) relative to the ment Indicators 2007 and in the WDI database. United States, while real GDP and real GDP per capita 189 190 Global Purchasing Power Parities and Real Expenditures are extrapolated using growth rates derived from constant estimating process, which means that the relation- price national data. ship between any two economies is affected by indi- Readers are advised that PPP estimates of one bench- rect parities with all other economies in the region. mark year, when extrapolated by rates of inflation in an m Ad hoc methods were used in ICP 1993 to link economy relative to the base country, will not necessarily Africa to the OECD, with similar problems experi- be consistent with the estimates obtained for a new bench- enced using Japan to link Asia-Pacific to the OECD. mark year. For instance, the 1993 PPP-based per capita m SNA93 was the basis for the 2005 expenditures GDP of Jordan expressed in Omani rials, if extrapolated to and weights. SNA68 was the basis for the previous 2005 by the relative rate of inflation in Jordan and Oman, round. are not equal to the 2005 benchmark PPP-based per capita GDP of Jordan, also expressed in Omani rials. This is the Even if the general methodologies, the aggregation pro- result of several factors: cedures, and the group of economies in the two surveys m The treatment of problematic areas such as hous- were the same, the extrapolated values would not necessar- ing and nonmarket services may be different in suc- ily equal new benchmark values. The reason for this is that cessive ICP rounds. In general, we can assume that ICP surveys work with current-year estimates so that suc- better methods are introduced in each successive cessive benchmark estimates reflect changes from one year round. For example, productivity adjustments were to another, not only in quantities but also in prices.  Extrap- made to government salaries in the Africa, Western olating one benchmark year value to another benchmark Asia, and Asia-Pacific regions. year by relative rates of inflation will yield changes in the m The extrapolation is done at the macro or GDP aggregate quantity only and will fail to capture any changes level, instead of at the individual product or basic- in the composition of the quantity, which may result from heading level. This assumes that each economy has a changes in relative prices and interplay of supply and similar economic structure to that of the numeraire demand of complementary and substitute products. country and that the economies of both are evolving For economies with large external trade volumes, in a similar way. extrapolations are more problematic because of changes in m The products priced in successive rounds of the ICP the terms of trade. For example, if the physical quantity may be different, and the ICP product list will also of exports of an economy remains the same but the price be different from those used in calculating national decreases, extrapolated exports will be unchanged, but rates of inflation. output measured in current prices will have decreased. A m The magnitude of sampling and nonsampling errors similar effect will occur if import prices increase; namely, in the two surveys may be different. extrapolated GDP will exceed currently measured GDP. m Different aggregation methods may have been used. The opposite will occur for increases in export prices and m The number of economies participating in the ICP decreases in import prices, everything else the same. rounds is different. For example, the 1993 compari- The changes in methodology, scope, and content of the son in Asia-Pacific included 14 economies. Two of 2005 ICP compared with previous results need to be con- these were Japan and Korea, which are now included sidered when making comparisons across time. For exam- in the Eurostat-OECD comparison, but not in the ple, it may be misleading to use Gini coefficients or other Asia-Pacific comparison. The 2005 Asia-Pacific com- dispersion measures from previous benchmarks and com- parison added 11 more economies, including China pare them with 2005 to measure trends in income inequal- and India. The PPPs are the result of a multilateral ity across countries. Appendix G 191 Table G1 Comparison of ICP 2005 global results with WDI GDP per capita, PPP GDP per capita, US$ GDP, PPP (bln) GDP, US$ (bln) ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. Angolaa 39,591 3,729 –5% 1,945 1,903 2% 55.0 60.0 –8% 30.3 30.6 –1% Benin 1,390 1,213 15% 579 505 15% 10.5 10.3 2% 4.4 4.3 3% Botswana 12,057 12,010 0% 5,712 5,689 0% 20.5 22.0 –7% 9.7 10.4 –7% Burkina Fasoa 1,140 1,061 7% 433 403 8% 14.6 14.8 –1% 5.5 5.6 –2% Burundia … 319 .. … 101 .. … 2.5 .. … 0.8 .. Cameroon 1,995 1,993 0% 950 948 0% 35.0 35.5 –1% 16.6 16.9 –2% Cape Verdea 2,831 2,521 12% 2,215 1,972 12% 1.4 1.3 10% 1.1 1.0 10% Central African Republica 675 654 3% 338 327 3% 2.7 2.7 –2% 1.4 1.4 2% Chada 1,749 1,471 19% 690 580 19% 14.9 14.9 0% 5.9 5.9 0% Comorosa 1,063 1,127 –6% 611 645 –5% 0.6 0.7 –11% 0.4 0.4 3% Congo, Dem. Rep.a 264 267 –1% 120 121 –1% 15.7 15.7 0% 7.1 7.1 0% Congo, Rep. 3,621 3,246 12% 1,845 1,654 12% 12.0 11.7 2% 6.1 6.0 2% Côte d’Ivoire 1,575 1,614 –2% 858 879 –2% 30.1 30.0 0% 16.4 16.3 0% Djibouti a 1,964 1,850 6% 936 881 6% 1.5 1.5 1% 0.7 0.7 –1% Egypt, Arab Rep. 5,049 4,574 10% 1,412 1,231 15% 353.4 333.2 6% 98.8 89.7 10% Equatorial Guineaa 11,999 28,536 –58% 6,538 15,550 –58% 12.2 13.8 –12% 6.6 7.5 –12% Ethiopiaa 591 581 2% 154 151 2% 42.5 43.7 –3% 11.1 11.4 –2% Gabon 12,742 13,821 –8% 6,190 6,714 –8% 17.8 17.8 0% 8.7 8.7 0% Gambia, Thea 726 1,078 –33% 192 285 –33% 1.1 1.7 –37% 0.3 0.5 –35% Ghanaa 1,225 1,160 6% 502 476 6% 26.1 26.1 0% 10.7 10.7 0% Guinea 946 1,105 –14% 317 370 –14% 8.8 9.9 –12% 2.9 3.3 –13% Guinea-Bissaua 569 458 24% 234 189 24% 0.8 0.7 9% 0.3 0.3 0% Kenya 1,359 1,375 –1% 531 537 –1% 47.9 49.0 –2% 18.7 19.1 –2% Lesothoa 1,415 1,311 8% 777 720 8% 2.6 2.6 0% 1.4 1.4 –2% Liberia 383 312 0% 188 154 22% 1.2 1.1 0% 0.6 0.5 13% Madagascar 988 834 19% 320 270 18% 16.8 15.5 8% 5.5 5.0 9% Malawi 691 648 7% 230 216 7% 8.6 8.6 0% 2.9 2.9 2% Mali 1,027 1,004 2% 468 457 2% 12.1 11.7 4% 5.5 5.3 4% Mauritaniaa 1,691 1,684 0% 631 620 2% 4.8 5.0 –4% 1.8 1.8 –2% Mauritius 10,155 9,975 2% 5,053 5,059 0% 12.6 12.4 2% 6.3 6.3 0% Morocco 3,547 3,554 0% 1,952 1,956 0% 107.1 107.1 0% 59.0 59.0 0% Mozambiquea 743 677 10% 347 320 8% 14.4 13.9 4% 6.7 6.6 2% Namibiaa 4,547 4,599 –1% 3,049 3,085 –1% 9.3 9.3 0% 6.2 6.2 0% Nigera 613 602 2% 264 259 2% 7.7 8.0 –4% 3.3 3.4 –4% Nigeria 1,892 1,520 24% 868 697 24% 247.3 214.8 15% 113.5 98.6 15% Rwanda 813 696 17% 271 232 17% 7.2 6.4 12% 2.4 2.1 12% São Tomé and Principe 1,460 1,401 0% 769 738 4% 0.2 0.2 –6% 0.1 0.1 –11% Senegal 1,676 1,541 9% 800 735 9% 18.1 18.1 0% 8.7 8.7 1% Sierra Leone 790 584 35% 293 217 35% 4.0 3.3 23% 1.5 1.2 24% South Africaa 8,477 8,478 0% 5,162 5,162 0% 397.5 397.5 0% 242.0 242.1 0% Sudan 2,249 1,711 31% 994 756 31% 79.6 63.1 26% 35.2 27.9 26% continued 192 Global Purchasing Power Parities and Real Expenditures Table G1 Continued GDP per capita, PPP GDP per capita, US$ GDP, PPP (bln) GDP, US$ (bln) ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. Swaziland 4,384 4,461 –2% 2,270 2,310 –2% 4.9 5.0 –3% 2.6 2.6 0% Tanzania 1,018 933 9% 360 327 10% 35.9 35.9 0% 12.7 12.6 1% Togo 888 742 20% 405 338 20% 4.6 4.6 –1% 2.1 2.1 0% Tunisia 6,461 6,382 1% 2,896 2,860 1% 64.8 64.0 1% 29.0 28.7 1% Ugandaa 991 848 17% 345 302 14% 26.3 24.5 7% 9.1 8.8 4% Zambia 1,175 1,171 0% 636 633 0% 13.4 13.4 0% 7.3 7.3 0% Zimbabwe 538 0 0% 0 261 –100% 6.2 .. 0% 0.0 3.4 –100% Africa 2,330 2,074 12% 942 843 12% 1,180.6 1,104.9 7% 477.2 449.0 6% Bangladesh 1,268 1,068 19% 446 392 14% 173.8 163.7 6% 61.2 60.0 2% Bhutan 3,694 3,649 1% 1,318 1,302 1% 2.3 2.3 –1% 0.8 0.8 –4% Brunei Darussalam 47,465 46,991 0% 25,754 25,497 1% 17.6 17.6 0% 9.5 9.5 0% Cambodiaa 1,453 1,440 1% 454 449 1% 20.1 20.1 0% 6.3 6.3 0% China 4,091 4,088 0% 1,721 1,720 0% 5,333.2 5,333.2 0% 2,243.8 2,243.9 0% Hong Kong, China 35,680 35,690 0% 26,094 26,101 0% 243.1 243.2 0% 177.8 177.8 0% Macao, China 37,256 36,869 1% 24,507 24,324 1% 17.6 17.4 1% 11.6 11.5 1% Taiwan, Chinaa 26,069 26,057 0% 15,674 15,661 0% 590.5 592.3 0% 355.1 356.0 0% Fiji 4,209 4,282 –2% 3,558 3,620 –2% 3.5 3.5 –1% 3.0 3.0 0% Indiaa 2,126 2,222 –4% 707 736 –4% 2,341.0 2,431.9 –4% 778.7 805.7 –3% Indonesia 3,234 3,209 1% 1,311 1,301 1% 707.9 707.9 0% 287.0 287.0 0% Iran, Islamic Rep. 10,692 9,314 15% 3,190 2,779 15% 734.6 643.5 14% 219.2 192.0 14% Lao PDR 1,811 1,814 0% 508 510 0% 10.2 10.3 –1% 2.9 2.9 0% Malaysia 11,466 11,678 –2% 5,250 5,329 –1% 299.6 299.6 0% 137.2 136.7 0% Maldivesa 4,017 3,995 0% 2,552 2,539 1% 1.2 1.2 2% 0.7 0.7 –7% Mongolia 2,643 2,609 1% 915 903 1% 6.7 6.7 1% 2.3 2.3 0% Nepal 1,081 960 13% 343 302 14% 27.4 26.0 5% 8.7 8.2 6% Pakistan 2,396 2,184 10% 769 703 9% 368.9 340.3 8% 118.4 109.5 8% Philippines 2,932 2,956 –1% 1,158 1,167 –1% 250.0 250.0 0% 98.7 98.7 0% Singapore 41,479 41,479 0% 26,879 26,877 0% 180.1 180.1 0% 116.7 116.7 0% Sri Lanka 3,481 3,420 2% 1,218 1,197 2% 68.5 67.3 2% 24.0 23.5 2% Thailand 6,869 7,061 –3% 2,721 2,797 –3% 444.9 444.9 0% 176.2 176.2 0% Vietnam 2,142 2,143 0% 637 639 0% 178.1 178.1 0% 52.9 53.1 0% Asia/Pacific 4,107 4,011 2% 1,699 1,667 2% 9,068.0 8,935.4 1% 3,751.9 3,713.4 1% Armenia 3,903 4,162 –6% 1,523 1,624 –6% 12.6 12.6 0% 4.9 4.9 0% Azerbaijan 4,648 4,575 2% 1,604 1,578 2% 38.4 38.4 0% 13.3 13.2 0% Belarus 8,541 8,541 0% 3,090 3,090 0% 83.5 83.5 0% 30.2 30.2 0% Georgia 3,505 3,520 0% 1,427 1,433 0% 15.3 15.7 –3% 6.2 6.4 –3% Kazakhstan 8,699 8,699 0% 3,771 3,771 0% 131.8 131.8 0% 57.1 57.1 0% Kyrgyz Republic 1,728 1,728 0% 478 478 0% 8.9 8.9 0% 2.5 2.5 2% Moldova 2,362 2,190 8% 831 771 8% 8.5 8.5 0% 3.0 3.0 0% Appendix G 193 Table G1 Continued GDP per capita, PPP GDP per capita, US$ GDP, PPP (bln) GDP, US$ (bln) ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. Russian Federation 11,861 11,858 0% 5,341 5,341 0% 1,697.5 1,697.5 0% 764.4 764.5 0% Tajikistan 1,413 1,478 –4% 338 353 –4% 9.7 9.7 0% 2.3 2.3 –1% Ukraine 5,583 5,583 0% 1,829 1,829 0% 263.0 263.0 0% 86.1 86.1 0% CIS 9,203 9,202 0% 3,934 3,934 0% 2,269.2 2,269.6 0% 970.0 970.3 0% Albania 5,369 5,465 –2% 2,587 2,657 –3% 16.8 17.2 –3% 8.1 8.4 –3% Australia 32,798 34,106 –4% 34,774 36,174 –4% 671.5 695.8 –3% 712.0 737.9 –4% Austria 34,108 34,075 0% 37,056 37,022 0% 280.8 280.6 0% 305.1 304.8 0% Belgium 32,077 31,699 1% 35,852 35,431 1% 336.0 332.2 1% 375.5 371.3 1% Bosnia and Herzegovina 6,506 5,949 0% 3,007 2,749 9% 25.0 23.3 0% 11.6 10.8 8% Bulgaria 9,353 9,328 0% 3,525 3,513 0% 72.2 72.2 0% 27.2 27.2 0% Canada 35,078 34,972 0% 35,133 35,025 0% 1,133.0 1,130.0 0% 1,134.8 1,131.7 0% Croatia 13,232 13,231 0% 8,749 8,752 0% 58.8 58.8 0% 38.9 38.9 0% Cyprus 24,473 24,534 0% 22,359 22,428 0% 18.6 18.6 0% 16.9 17.0 –1% Czech Republic 20,281 20,280 0% 12,190 12,186 0% 207.6 207.6 0% 124.8 124.7 0% Denmark 33,626 33,645 0% 47,793 47,783 0% 182.2 182.2 0% 259.0 258.8 0% Estonia 16,654 16,456 1% 10,341 10,213 1% 22.4 22.2 1% 13.9 13.7 1% Finland 30,469 30,462 0% 37,262 37,256 0% 159.8 159.8 0% 195.4 195.5 0% France 29,644 30,591 –3% 34,008 35,097 –3% 1,862.2 1,862.2 0% 2,136.3 2,136.5 0% Germany 30,496 30,445 0% 33,849 33,794 0% 2,514.8 2,510.7 0% 2,791.3 2,787.0 0% Greece 25,520 29,261 –13% 22,285 25,553 –13% 282.8 324.9 –13% 247.0 283.7 –13% Hungary 17,014 17,014 0% 10,962 10,955 0% 171.6 171.6 0% 110.6 110.5 0% Iceland 35,630 35,465 0% 54,975 54,656 1% 10.5 10.5 0% 16.3 16.2 0% Ireland 38,058 37,886 0% 48,405 48,190 0% 157.9 157.6 0% 200.8 200.4 0% Israel 23,845 22,627 5% 19,749 18,739 5% 156.7 156.7 0% 129.8 129.7 0% Italy 27,750 27,750 0% 30,195 30,197 0% 1,626.3 1,626.3 0% 1,769.6 1,769.7 0% Japan 30,290 30,290 0% 35,604 35,603 0% 3,870.3 3,870.3 0% 4,549.2 4,549.1 0% Korea, Rep. 21,342 21,273 0% 16,441 16,388 0% 1,027.4 1,027.4 0% 791.4 791.4 0% Latvia 13,218 13,215 0% 7,035 6,973 1% 30.4 30.4 0% 16.2 16.0 1% Lithuania 14,085 14,084 0% 7,530 7,532 0% 48.1 48.1 0% 25.7 25.7 0% Luxembourg 70,014 69,776 0% 80,315 80,047 0% 32.6 31.9 2% 37.3 36.6 2% Macedonia, FYR 7,393 7,394 0% 2,858 2,859 0% 15.0 15.0 0% 5.8 5.8 0% Malta 20,410 20,483 0% 14,605 14,645 0% 8.2 8.3 –1% 5.9 5.9 0% Mexico 11,317 11,387 –1% 7,401 7,447 –1% 1,175.0 1,173.9 0% 768.4 767.7 0% Montenegro 7,833 7,450 0% 3,564 3,395 5% 4.9 4.5 0% 2.2 2.1 7% Netherlands 34,724 34,492 1% 38,789 38,532 1% 566.6 562.9 1% 632.9 628.8 1% New Zealand 24,554 24,566 0% 26,538 26,550 0% 100.7 101.6 –1% 108.8 109.8 –1% Norway 47,551 47,538 0% 65,267 65,229 0% 219.8 219.8 0% 301.7 301.6 0% Poland 13,573 13,535 0% 7,965 7,943 0% 518.0 516.6 0% 304.0 303.2 0% Portugal 20,006 19,956 0% 17,599 17,556 0% 211.0 210.5 0% 185.7 185.2 0% Romania 9,374 9,368 0% 4,575 4,569 0% 202.7 202.7 0% 98.9 98.8 0% 194 Global Purchasing Power Parities and Real Expenditures Table G1 Continued GDP per capita, PPP GDP per capita, US$ GDP, PPP (bln) GDP, US$ (bln) ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. ICP ‘05 WDI ‘05 Diff. Russian Federation 11,861 11,858 0% 5,341 5,341 0% 1,697.5 1,697.5 0% 764.4 764.5 0% Serbia 8,609 8,644 0% 3,564 3,525 1% 64.1 64.3 0% 26.5 26.2 1% Slovak Republic 15,881 15,881 0% 8,798 8,803 0% 85.6 85.6 0% 47.4 47.4 0% Slovenia 23,004 22,506 2% 17,558 17,173 2% 46.0 45.0 2% 35.1 34.4 2% Spain 27,270 27,180 0% 26,031 25,947 0% 1,183.5 1,179.6 0% 1,129.7 1,126.0 0% Sweden 31,995 32,016 0% 39,621 39,600 0% 288.9 288.9 0% 357.8 357.4 0% Switzerland 35,520 35,182 1% 49,675 49,197 1% 266.3 261.7 2% 372.4 365.9 2% Turkey 7,786 7,786 0% 5,013 5,042 –1% 561.1 561.1 0% 361.3 363.4 –1% United Kingdom 31,580 31,371 1% 37,266 37,058 1% 1,901.7 1,889.4 1% 2,244.1 2,231.9 1% United States 41,674 41,813 0% 41,674 41,813 0% 12,376.1 12,397.9 0% 12,376.1 12,397.9 0% OECD–Eurostat 26,404 26,487 0% 26,191 26,270 0% 36,469.0 36,515.6 0% 36,173.8 36,217.1 0% Argentina 11,063 10,815 2% 4,836 4,728 2% 419.0 419.0 0% 183.2 183.2 0% Bolivia 3,618 3,715 –3% 1,001 1,028 –3% 34.1 34.1 0% 9.4 9.4 0% Brazil 8,596 8,474 1% 4,791 4,723 1% 1,583.2 1,583.2 0% 882.5 882.5 0% Chile 12,262 12,248 0% 7,305 7,297 0% 199.6 199.6 0% 118.9 118.9 0% Colombiaa 6,306 5,867 7% 2,940 2,973 –1% 263.7 263.7 0% 122.9 133.6 –8% Ecuador 6,533 6,737 –3% 2,761 2,847 –3% 86.3 88.0 –2% 36.5 37.2 –2% Paraguaya 3,900 3,824 2% 1,267 1,242 2% 23.0 22.6 2% 7.5 7.3 2% Peru 6,466 6,452 0% 2,916 2,910 0% 176.0 176.0 0% 79.4 79.4 0% Uruguay 9,266 9,266 0% 5,026 5,026 0% 30.6 30.6 0% 16.6 16.6 0% Venezuela, RB 9,876 9,877 0% 5,449 5,449 0% 262.5 262.5 0% 144.8 144.8 0% South America 8,775 8,694 1% 4,625 4,582 1% 2,791.3 2,793.0 0% 1,471.3 1,472.0 0% Bahrain 27,236 33,451 –19% 18,019 22,132 –19% 20.2 24.2 –17% 13.4 16.0 –16% Egypt, Arab Rep. 5,049 4,574 10% 1,412 1,231 15% 353.4 333.2 6% 98.8 89.7 10% Iraq 3,200 .. .. 1,214 .. .. 89.5 .. .. 33.9 .. .. Jordan 4,294 4,342 –1% 2,304 2,330 –1% 23.5 23.5 0% 12.6 12.6 0% Kuwaita 44,947 43,551 3% 32,882 31,861 3% 110.4 110.4 0% 80.8 80.8 0% Lebanon 10,212 9,545 7% 5,741 5,366 7% 38.3 38.3 0% 21.6 21.5 0% Omana 20,334 20,350 0% 12,289 12,299 0% 51.0 51.0 0% 30.8 30.8 0% Qatar 68,696 70,716 –3% 51,809 53,333 –3% 55.8 56.3 –1% 42.1 42.5 –1% Saudi Arabiaa 21,220 21,220 0% 13,640 13,650 0% 490.6 490.6 0% 315.3 315.6 0% Syrian Arab Republic 4,059 4,002 1% 1,535 1,493 3% 75.0 75.6 –1% 28.4 28.2 1% Yemen, Rep. 2,276 2,188 4% 826 794 4% 46.2 46.2 0% 16.8 16.7 0% West Asia 5,123 4,825 6% 1,955 1,836 6% 612.4 597.3 3% 233.7 227.3 3% a. Country estimates for WDI 2005 were based on regression estimates for 1993–96 extrapolated forward to 2005. Regional totals and averages do not take into account regression numbers or countries that don’t have WDI estimate. Sources: 2005 ICP Final Results, WDI database (April 2008). Appendix H Estimation of Between-Region Linking Factors Linking Regions: A Step-by-Step Step 3. The ring prices for each country are divided by Numerical Example its regional PPP. This converts the ring prices in national currencies to the currency of the numeraire country for the A very important feature of the 2005 ICP was that PPPs region. Note that the prices for the numeraire countries were first computed separately for each region and the remain the same. Eurostat-OECD using methodology most suited to its Step 4. This table shows the results of the CPD regres- economic situation and capabilities. The need to calibrate sion on the three sets of prices shown in step 3. Region I the regional PPPs to a common world currency led to the was the numeraire for the CPD regression. For this basic development of the ring methodology that was used to link heading, the PPP of region II to region I is 10.56. the regions. The following paragraphs provide an example Step 5. This shows the linking factors by country by showing the steps taken using ring prices to calibrate the region. Note that the linking factor for region I is 1.0. The regional PPPs to a common currency. The example shows linking factor for this basic heading in region II is 10.56. how the ring prices for each region are converted to a com- This is used for all countries in the region, not just the ring mon regional currency using regional PPPs from which countries. regional PPPs are computed. Step 6. The global PPP for each country is its within- Steps 1 and 2. This table shows ring prices for a basic region PPP times the regional PPP or linking factor. heading with 10 products for the ring countries in regions An important feature is that the calibration of the I, II, and III. The ring prices for each country are in its regional PPPs to the global level is essentially a scalar adjust- national currency. The bottom line of the table shows the ment. This preserves the relative relationships of the coun- within-region basic-heading PPP for each country relative tries within region; thus it meets the fixity requirement. to the base country. (Note that countries A and E are the numeraire countries in regions I and II, respectively.) 195 196 Global Purchasing Power Parities and Real Expenditures Figure H1 Linking Factors: Numerical Example Ring 1 Prices—BH Region I Region II Region III Product A B C D E F G H 5 Regional coefficients (PPPs) 1 2 100 25 20 600 etc. Method I II III 2 5 12 900 450 CPD 1 10.56 etc. 3 6 270 15 1,000 400 4 320 70 180 5,000 5 8 280 120 120 2,000 500 6 210 60 100 350 7 50 140 8 120 12 100 80 800 9 2 10 25 1,500 150 5 6 10 40 260 PPPs Linking Global 2 PPPs (within region) 1 30 5 13 1 30 6 Country Region (within region) Factors PPP A I 1 1 1 B I 30 1 30 C I 5 1 5 Deflated 3 prices Region I Region II Region III D I 13 1 13 E II 1 10.56 10.56 Product A B C D E F G H F II 30 10.56 316.80 1 2 100 25 20 600 etc. 2 5 12 900 450 G II 6 10.56 63.36 3 6 270 15 1,000 400 H III etc. etc. etc. 4 320 70 180 5,000 5 8 280 120 120 2,000 500 6 210 60 100 350 Base country for region I 7 50 140 for the ICP: United States 8 120 12 100 80 800 9 2 10 25 1,500 150 Base region for 10 40 260 the ICP: OECD Source: 2005 ICP. Appendix I ICP Software An important innovation introduced in the 2005 ICP by In the 2005 ICP round, several software components the World Bank is a suite of well-integrated and specialized were developed. The following highlights some of the fea- software tools to support the collection, storage, validation, tures and the ToolPack components that support them: and processing of price data to produce PPPs at various m Product list preparation, using a structured product levels of aggregation. Underlying these tools is a database description (SPD) method. This component helps in which individual and average prices of products can be in creating detailed product specifications for all cat- stored in a secure manner. The database also stores the egories of products used in the ICP. This supports a GDP expenditure weights (at the basic-heading level), spa- dialogue between global, regional, and national ICP tial weights, exchange rates, and population data. coordinators and assists coordinators in comparing This set of software tools is called the ICP “ToolPack,” different products. which provides an end-to-end solution for the ICP process m Price survey and data collection for household con- and introduces methodological rigor and best practices, as sumption items. The price collection module (PCM) well as transparency in the computations. The ToolPack is designed for countries to collect price data on con- covers activities such as product list preparation for pricing, sumption items based on a product list and a sur- using structured product description; survey preparation; vey framework created using another module of the user and product outlet specification; price data collection ToolPack, the data processing module (DPM). The and data entry; data validation at the country level; and data PCM has basic data validation features to correct processing and data exchange between the regional coordi- data-entry errors and also has some data-auditing nators and national coordinators. At the regional level, the functions. ToolPack has a number of data validation tools for cross- m Data collection for government and gross fixed country analysis across regions or subregions. Finally, the capital formation items. Besides the household con- ToolPack has several innovative features for reporting on sumption item prices, which are collected using the the price data aggregation to produce PPPs using a variety PCM, the other major GDP categories of expendi- of statistical methods. ture—construction, equipment, and compensation— 197 198 Global Purchasing Power Parities and Real Expenditures are not readily amenable for data collection using the m Dikhanov tables. Another important innovation PCM. Therefore, the data collection forms (DCF) introduced to assist in the editing phase of the 2005 module is now available, which is well integrated ICP is the Dikhanov table, named after Yuri Dikhanov with the DPM for price data aggregation and index of the World Bank, who developed the methodology. computation. It shows the relationships between product prices m Data processing. The ToolPack’s DPM component is across the whole range of products up to the level the main data-processing engine that can be used both of GDP for each country in a region, using the CPD by the national and regional coordinators. Depend- model as the basis for aggregating and analyzing the ing on the user, the software presents the tools for prices data. For example, a particular feature of the validation needed at the national or the regional lev- Dikhanov table is a measure of the distribution of els. For example, a national coordinator can use it for the prices actually provided by a country compared the initial checking of the individual price observa- with the estimated (or predicted) prices generated by tions for each product in his or her country. Once he the CPD model. A positive residual means that the or she is satisfied with the individual price data, the observed average price is greater than that estimated national coordinator can then use the system to cal- by the model, while a negative residual means that culate the average prices for each product for which the estimated price is greater than the observed one. prices were collected in the country concerned. The The residuals show by how much the data diverge countries have a choice in providing either individ- from the mean estimates of the model. Large residu- ual prices or only the average product prices. The als indicate significant departures from the expected ToolPack accepts submissions from the countries in prices and can identify either unexpected variations either form for further processing. in the product prices between countries or large m Country diagnostic reports. These reports are pro- variations in the prices for products within a coun- duced in the DPM from country submissions and are try (or both). Any significant variation in one or the reviewed by the region and communicated back to other of these variables can indicate an underlying the national coordinator if there are issues with indi- problem with the price data or signal that a coun- vidual prices. The reports pinpoint the observation try may not be pricing the same item that the other under question and the probable causes of the data countries did. The ToolPack implementation of the errors, thereby making the dialog between regions Dikhanov tables provides many options for compar- and countries much more efficient. ing data anomalies at different levels of aggregation, m Quaranta tables. After the preliminary data cleaning from major GDP categories downward to the basic- is completed, the ToolPack provides a more broadly heading level. Further, the ToolPack allows drilling based set of editing processes. One of the main diag- down below the basic-heading level to the average nostic tools used at this stage is the Quaranta table, product prices to be able to trace the cause for the named after Vincenzo Quaranta from the Italian deviations. national statistical office (ISTAT), who developed it m Equipment, construction, and compensation (ECC) as an editing tool for the Eurostat-OECD PPP pro- data validation. The data validation module (DVM) gram. The Quaranta table shows details of the prod- is yet another innovation of the ICP 2005 round for uct, the reference period, the mean, the highest and validating the average prices of construction com- lowest observations, PPP, PLI, exchange rate, weight, ponents and the “construction systems” (that is, the and coefficient of variation (the standard deviation equipment and compensation prices). This module divided by the arithmetic mean) for each product compares the components of a price observation to within a basic heading, for each country. better understand the differences in prices for the Appendix I 199 same components across countries and to determine index computations. The WDM gives the regions the causes of data anomalies. This module is also a tool to compare the GDP expenditures across all well integrated with the DVM so that after the data countries at the basic-heading or higher levels and validation is done, the data can be processed further to identify problem areas by computing statistical with the other expenditure categories. deviations across countries. The deviations work on m Expenditure weights diagnostic module (WDM). the shares of expenditures at each level as a percent- GDP expenditure weights are essential to the final age of the total GDP. Glossary Actual individual consumption. Actual individual con- ment on collective services, or the total value of gross fixed sumption is measured by the total value of household final capital formation. The term “aggregate” is also used to mean consumption expenditure, nonprofit institutions (such as the value of the specified set of transactions. NGOs and charities) serving households’ final consump- tion expenditure, and government expenditure on individ- Aggregation. The procedure of computing PPPs above the ual consumption of goods and services (such as education basic-heading level. The process of weighting, summing, or health). and averaging basic-heading PPPs to obtain PPPs for each level of aggregation up to and including GDP. Additivity. The values of the national accounts aggregates of countries participating in a comparison are equal to the Alcoholic beverages and tobacco. Alcoholic beverages sum of the values of their components when both aggre- purchased for consumption at home; includes low or non- gates and components are valued at current national prices. alcoholic beverages that are generally alcoholic, such as Additivity requires this identity to be preserved when the nonalcoholic beer; excludes alcoholic beverages sold for values of the aggregates and their components are valued at immediate consumption away from the home by hotels, international prices. An aggregation method is additive if, restaurants, cafés, bars, kiosks, street vendors, automatic for each country being compared, it provides real values for vending machines, and so forth. All purchases of tobacco by basic headings that sum to the real values of the aggregates households, including purchases of tobacco in cafés, bars, of which they are components. An additive aggregation restaurants, service stations, and so forth. method provides volumes that satisfy the average test for volumes, but are subject to the Gerschenkron effect (see Balance of exports and imports. The free on board (f.o.b.) below). value of exports of goods and services, less the f.o.b. value of imports of goods and services. When no distinction Aggregate. The sum of a set of transactions relating to a between goods and services is required, it may be defined specified flow of goods and services in a given period, such as the f.o.b. value of exports of goods and services, less the as the total purchases made by resident households on con- cost, insurance, and freight (c.i.f.) value of imports of goods sumer goods and services, the total expenditure by govern- and services. 201 202 Global Purchasing Power Parities and Real Expenditures Basic heading. The lowest level of aggregation of items in and (b) stocks of products acquired from other units that the GDP breakdown for which parities are calculated. In are intended to be used for intermediate consumption or theory, a basic heading is defined as a group of similar well- for resale without further processing; they are measured defined goods or services. In practice, it is defined by the by the value of the entries into inventories, less the value lowest level of final expenditure for which explicit expendi- of withdrawals and the value of any recurrent losses of ture weights can be estimated. Thus, an actual basic heading goods held in inventories. PPPs are not estimated directly; can cover a broader range of products than is theoretically instead, they are imputed using PPPs for consumer goods desirable. Basic headings are the building blocks of a com- equipment. parison. It is at the level of the basic heading that expendi- tures are defined, products selected, prices collected, prices Characteristics. The physical and economic attributes of a edited, and PPPs first calculated and averaged. product that serve to identify it and enable it to be located under some heading of a product classification; the techni- Basket. A term often used for the common list of well- cal parameters and price-determining properties of a prod- defined goods and services from which countries partici- uct listed in a product specification. pating in a comparison make a selection of products to price for the purpose of compiling PPPs. Also referred to as Clothing and footwear. Includes expenditures on clothing “product list” or “item list.” materials; garments for men, women, and children; other articles of clothing and clothing accessories; cleaning, repair, Bias. A systematic error in a PPP or volume index. Bias can and hire of clothing; all footwear for men, women, and chil- arise for a number of reasons, including failure to respect dren; and repair and hire of footwear. either representativity, comparability, or consistency; the price collection and measurement procedures followed; or COFOG (classification of the functions of government). the calculation and aggregation formula employed. Classifies transactions by general government—including outlays on final consumption expenditure, intermediate Bilateral comparison. See “binary comparison.” consumption, gross fixed capital formation, and capital and current transfers—by function or purpose. A major use of Binary comparison. A price or volume comparison between COFOG is to identify which final consumption expendi- two countries that draws upon data only for those two tures of general government benefit households individu- countries. Also referred to as a “bilateral comparison.” ally and which benefit households collectively. Binary PPP. A PPP between two countries calculated using COICOP (classification of individual consumption accord- only the prices and weights for those two countries. ing to purpose). Classifies the individual consumption expenditures of three institutional sectors—households, Bridge country. A country that provides the link or bridge NPISHs, and general government—by the ends that they between two separate comparisons involving different wish to achieve through these expenditures. Individual groups of countries. The bridge country participates in both consumption expenditures are those that are made for comparisons and, by doing so, enables the countries in one the benefit of individual households. All final consump- comparison to be compared with the countries in the other tion expenditures by households and NPISHs are defined comparison and vice versa. as individual, but only the final consumption expenditures by general government on individual services are treated as Changes in inventories and valuables. Changes in inven- individual. tories and valuables (including work in progress) consist of changes in (a) stocks of outputs that are still held by the Collective consumption expenditure by government. units that produced them before their being further pro- Expenditures incurred by general and local governments cessed, sold, delivered to other units, or used in other ways for collective consumption services such as defense, jus- Glossary 203 tice, general administration, and the protection of the prises owned by households for purposes of production); environment. they may be used for purposes of consumption repeatedly or continuously over a period of a year or more. Communication. Includes expenditures on postal services and on telephone and telefax equipment and services. Consumption of fixed capital. The reduction in the value of the fixed assets used in production during the accounting Comparability requires participating countries to price period, resulting from physical deterioration, normal obso- products that are identical or, if not identical, equivalent. lescence, or normal accidental damage. Pricing comparable products ensures that differences in prices between countries for a product reflect actual price CPD method (country-product-dummy method). The mul- differences and are not influenced by differences in quality. tilateral method used by the ICP to obtain transitive PPPs Two or more products are said to be comparable if either at the basic-heading level through regression analysis. It m Their physical and economic characteristics are treats the calculation of PPPs as a matter of statistical infer- identical or ence, an estimation problem rather than an index number m They are sufficiently similar that consumers are gen- problem. The underlying hypothesis is that, apart from ran- erally indifferent between them. dom disturbance, the PPPs for individual products within a basic heading are all constant between any given pair of Compensation of employees. All payments in cash and in countries. In other words, it is assumed that the pattern of kind made by employers to employees in return for work relative prices of the different products within a given basic done by them during the accounting period. These pay- heading is the same in all countries. It is also assumed that ments comprise gross wages and salaries in cash and in kind, each country has its own overall price level for the basic employers’ actual social contributions, and imputed social heading and that it is that which fixes the levels of absolute contributions. prices of the products in the basic heading for the country. By treating the prices observed in the countries for the basic Component. A subset of goods and/or services that make heading as random samples, the PPPs between each pair of up some defined aggregate. countries and the common pattern of relative prices can be estimated using classical least-square methods. The method Consistency. The requirement that the prices collected by allows sampling errors to be estimated for the PPPs. countries are consistent with the prices underlying their estimates of final expenditure on GDP. In most cases, this Deflation. The division of the current value of some aggre- means that they should be national annual purchasers’ gate by a price index—described as a “deflator”—to value prices. At the basis of a comparison is the identity—expen- its quantities at the prices of the price reference period. diture = price multiplied by volume—and volumes are obtained by dividing expenditures by prices. Using prices ECP (European Comparison Program). The ICP regional that do not correspond to those used to derive the expen- program for Europe carried out under the auspices of the ditures will result in the volumes being either underesti- United Nations Economic Commission for Europe. It is mated or overestimated. organized by Eurostat, the OECD, the Interstate Statistical Committee of the Commonwealth of Independent States, Construction. Includes the construction of new struc- and the State Committee of the Russian Federation on tures and the renovation of existing structures. Structures Statistics. include residential buildings, nonresidential buildings, and civil engineering works. Education. Includes expenditures by households on prep- rimary, primary, secondary, postsecondary, and tertiary Consumer durables. Durable goods acquired by households education; also includes expenditures by government on for final consumption (that is, those that are not used by education benefits and reimbursements and on production households as stores of value or by unincorporated enter- of education services. 204 Global Purchasing Power Parities and Real Expenditures EKS method (Éltetö-Köves-Szulc method). The method Fisher-type PPP. The PPP for a basic heading or an aggre- used to aggregate basic-heading PPPs to obtain PPPs for gate between two countries that is defined as the geometric each level of aggregation up to and including GDP. Strictly mean of the Laspeyres-type PPP and the Paasche-type PPP speaking, the EKS method is a procedure whereby any for the basic heading or the aggregate. See also “Laspeyres- set of intransitive binary index numbers are made transi- type PPP” and “Paasche-type PPP,” because their formula- tive. The procedure is independent of the method used tion depends on whether they are being used to calculate to calculate the basic-heading intransitive binary indexes. basic-heading PPPs or to aggregate basic-heading PPPs. The method used to obtain the intransitive binary PPPs for a basic heading or aggregate involves calculating first a Fixity. The convention whereby the price and volume matrix of Laspeyres-type PPPs, then a matrix of Paasche- relativities between a group of countries that were estab- type PPPs, and finally, by taking the geometric mean of the lished in a comparison covering just that group of coun- two, a matrix of Fisher-type PPPs. The Fisher-type PPPs tries remain unchanged, or fixed, when the countries of the are made transitive and multilateral by applying the EKS group are included in comparisons with a wider group of procedure, which involves replacing the Fisher-type PPP countries. For example, the price and volume relativities of between each pair of countries by the geometric mean of the ICP regions and Eurostat-OECD remain unchanged in itself squared and all the corresponding indirect Fisher-type the global comparison. PPPs between the pair obtained using the other countries as bridges. The resulting EKS PPPs provide real final expen- Food and nonalcoholic beverages. Food products and non- ditures that are not additive nor subject to the Gerschenk- alcoholic beverages purchased for consumption at home. ron effect. EKS results are considered to be better suited to Excluded are food products and beverages sold for imme- comparisons across countries of the price and volume levels diate consumption away from the home by hotels, restau- of individual aggregates. rants, cafés, bars, kiosks, street vendors, automatic vending machines, and so forth; cooked dishes prepared by restau- Error. The difference between the observed value of a PPP rants for consumption off their premises; cooked dishes or volume index and its “true” value. Errors may be random prepared by catering contractors, whether collected by the or systematic. Random errors are generally referred to as customer or delivered to the customer’s home; and prod- “errors.” Systematic errors are called “biases.” ucts sold specifically as pet foods. Expenditure categories. The level of aggregation between Furnishings, household equipment, and household main- main aggregates and expenditure groups. tenance. Includes expenditures on furniture and furnish- ings; carpets and other floor coverings; household textiles; Expenditure weights. The shares of expenditure compo- household appliances; glassware, tableware, and household nents in current-price GDP. utensils; tools and equipment for house and garden; and goods and services for routine household maintenance. Exports of goods and services. The value (f.o.b.) of exports of goods and services. GDP. Gross domestic product, expenditure-based, is total final expenditures at purchasers’ prices, including the f.o.b. Final consumption consists of goods and services used up value of exports of goods and services, less the f.o.b. value by individual households or the community to satisfy their of imports of goods and services. individual or collective needs or wants. General government. The institutional sector that con- Final expenditure consists of final consumption expendi- sists of central, regional, state, and local government units, ture and gross fixed capital formation. together with social security funds imposed and controlled by those units. It includes nonprofit institutions engaged Glossary 205 in nonmarket production that are controlled and mainly another by engaging in transactions on the market. They are financed by government units or social security funds. Also in demand because they may be used to satisfy the needs or referred to as “government.” wants of households or the community or used to produce other goods or services. Gerschenkron effect. Applicable only to aggregation meth- ods that use either a reference price structure (that is, each Government final consumption expenditure. Expenditure, country’s quantities are valued by a uniform set of prices) including imputed expenditure, incurred by general gov- or a reference volume structure (that is, each country’s ernment on both individual consumption goods and ser- prices are used to value a uniform set of quantities) to com- vices and collective consumption services. pare countries. For methods employing a reference price structure, a country’s share of total GDP (that is, the total Gross fixed capital formation. Measured by the total value for the group of countries being compared) will rise as the of a producer’s acquisitions, less disposals, of fixed assets reference price structure becomes less characteristic of its during the accounting period, plus certain additions to the own price structure. For methods employing a reference value of nonproduced assets (such as subsoil assets or major volume structure, a country’s share of total GDP will fall improvements in the quantity, quality, or productivity of as the reference volume structure becomes less character- land) realized by the productive activity of institutional istic of its own volume structure. The Gerschenkron effect units. arises because of the negative correlation between prices and volumes. Health. Includes expenditures by households on medical products, appliances and equipment, outpatient services, GK method (Geary-Khamis method). An average-price and hospital services; also includes expenditures by govern- method to compute PPPs and real final expenditures above ment on health benefits and reimbursements and on pro- the basic heading. It entails valuing a matrix of quantities, duction of health services. using a vector of international prices. The vector is obtained by averaging national prices across participating countries Household. A small group of persons who share the same after they have been converted to a common currency with living accommodation; who pool some, or all, of their PPPs and weighted by quantities. The PPPs are obtained income and wealth; and who consume certain types of by averaging within participating countries the ratios of goods and services collectively, mainly food and housing. A national and international prices weighted by expenditure. household can consist of only one person. The international prices and the PPPs are defined by a sys- tem of interrelated linear equations that require solving Household final consumption expenditure. Expendi- simultaneously. The GK method produces PPPs that are ture, including imputed expenditure, incurred by resident transitive and real final expenditures that are additive. It households on individual consumption goods and services, has a number of disadvantages. One is that a change in the including those sold at prices that are not economically composition of the group can change significantly the inter- significant. national prices, as well as the relationships between coun- tries. Another is that the real final expenditures are subject Housing, water, electricity, gas, and other fuels. Includes to the Gerschenkron effect, which can be large. GK results expenditures on actual and imputed rentals for housing; are considered to be better suited to the analysis of price maintenance and repair of the dwellings; water supply and and volume structures across countries. services related to the dwellings; and electricity, gas, and other fuels. Goods. Physical objects for which a demand exists, over which ownership rights can be established, and whose ICP (International Comparison Program). Started as a ownership can be transferred from one institutional unit to research project in the 1960s with the ultimate goal of 206 Global Purchasing Power Parities and Real Expenditures establishing a regular program of worldwide PPP compari- By definition, all final consumption expenditures of house- sons of GDP. Comparisons were organized for 1970, 1973, holds are for the benefit of individual households and are 1975, 1980, 1985, and 1993. They covered 10, 16, 34, 60, individual. Also referred to as “final consumption expen- 64, and 83 countries, respectively. Responsibility for these diture of households” and “household final consumption comparisons was shared by the United Nations Statistics expenditure.” Division and the University of Pennsylvania. The World Bank is the current global coordinator of the ICP. Individual consumption expenditure by NPISHs. The actual and imputed final consumption expenditure incurred Ikle method. An average-price method to compute PPPs by nonprofit institutions serving households (NPISHs) on and real final expenditures above the basic heading. It individual goods and services. In practice, most final con- entails valuing a matrix of quantities, using a vector of sumption expenditures of NPISHs are individual in nature, international prices. The vector is obtained by averaging and so, for simplicity, all final consumption expenditures national prices across participating countries after they have of NPISHs are treated by convention as individual. Also been converted to a common currency with PPPs. The Ikle referred to as “final consumption expenditure of NPISHs” weighting scheme is based on real expenditure structures. and “social transfers in kind.” The PPPs are obtained by averaging within participating countries the ratios of national and international prices Intermediate consumption. The value of the goods and ser- weighted by expenditure. The international prices and the vices, other than fixed assets, that are used or consumed as PPPs are defined by a system of interrelated linear equa- inputs by a process of production. tions that require solving simultaneously. The Ikle method produces PPPs that are transitive and real final expenditures International dollars. The purchasing power parities at that are additive. Compared to the GK, the Ikle minimizes the global level for each economy are computed with the the Gerschenkron effect. Ikle results are considered to be United States = 1.00, making it the numeraire currency. better suited to the analysis of price and volume structures These PPP conversion factors transform GDP and aggre- across countries. gates in national currency into a common world currency referred to as “real expenditures in the international dollar.” Imports of goods and services. The value (c.i.f.) on imports To remove the effect of the U.S. exchange rate, indexes of of goods and services. real expenditure per capita at the world = 100 reflect the ratio of national real expenditures per capita to the world Indirect comparison. A price or volume comparison average real expenditures per capita. between two countries made through a third country. For example, in the case of countries A, B, and C, the PPP Item. A good or service precisely defined for use in price between A and C is obtained by dividing the PPP between observation. A good or service defined by an item specifica- A and B by the PPP between C and B as follows: PPPA/C tion and included on an item list. Countries select the items = PPPA/B / PPPC/B. they price from among the items included on the item list. Also referred to as “product.” Individual consumption expenditure by government. The actual and imputed final consumption expenditure incurred Machinery and equipment. Includes fabricated metal prod- by general government on individual goods and services. ucts, general purpose machinery, special purpose machin- ery, electrical and optical equipment, transport equipment, Individual consumption expenditure by households. and other manufactured goods. The actual and imputed final consumption expenditure incurred by households on individual goods and services; Miscellaneous goods and services. Includes expenditures also includes expenditure on individual goods and ser- on personal care, personal effects, social protection, insur- vices sold at prices that are not economically significant. ance, and financial and other services. Glossary 207 Multilateral comparison. A price or volume comparison heading tend to be higher, on average, than prices in the of more than two countries simultaneously that produces base country (or countries) of the region (and vice versa). consistent relations among all pairs of countries (that is, one At the level of GDP, they provide a measure of the differ- that satisfies the transitivity requirement). ences in the general price levels of countries. PLIs are also referred to as “comparative price levels (CPLs).” Net exports are the difference in value between the total exports and total imports of an economy during a specific Product specification. A description or list of the charac- period of time. teristics that can be used to identify a product selected for pricing. Its purpose is to ensure that countries price Net purchases from abroad. Purchases by resident house- comparable items. A product specification can be either holds outside the economic territory of the country, less brand- and model-specific (that is, a specification in which purchases by nonresident households in the economic ter- a particular brand and model or a cluster of comparable ritory of the country. brands [and possibly models] is stipulated) or generic (that is, a specification where only the relevant price-determin- NPISHs (nonprofit institutions serving households). Non- ing and technical characteristics are given and no brand or profit institutions that are not predominantly financed and cluster of brands is designated. controlled by government, whose main resources are vol- untary contributions by households, and that provide goods Productivity adjustment. An adjustment made to the prices or services to households free or at prices that are not eco- paid by nonmarket producers for labor, capital, and inter- nomically significant. mediate inputs so that they correspond to a common level of multifactor productivity; in practice, an adjustment Numeraire currency. The term used for the currency unit made to the prices (compensation of employees) paid by selected to be the common currency in which PPPs and nonmarket producers for labor so that they represent the final expenditures on GDP (nominal and volumes) are same level of labor productivity. expressed. The numeraire is usually an actual currency (such as the U.S. dollar), but it can be an artificial currency Products. Goods and services that are the result of produc- unit developed for the purposes of PPP comparisons. tion. They are exchanged and used for various purposes: as inputs in the production of other goods and services, as Other products. Products of agriculture, forestry, fisheries, final consumption, or for investment. Also referred to as and aquaculture, as well as software products. “goods and services,” “commodities,” or “items.” Per capita volumes. Standardized measures of volume, Purchaser’s price. Amount paid by the purchaser, exclud- which indicate the relative levels of the product groups or ing any deductible VAT or similar deductible tax, to take aggregates being compared, after adjusting for differences delivery of a unit of a good or service at the time and place in the size of populations between countries. At the level required by the purchaser; the purchaser’s price of a good of GDP, they are often used to compare the economic well- includes any transport charges paid separately by the pur- being of populations. They may be presented either in rela- chaser to take delivery at the required time and place. tion to a particular currency or as an index number. PPP (purchasing power parity) between two countries, PLI (price level index) for a basic heading is the ratio of the A and B, is a price ratio that measures the number of units basic-heading PPP to the exchange rate. It is expressed as of country A’s currency that are needed in country A to an index on a base of 100. A PLI that is greater than 100 purchase the same quantity of an individual good or ser- means that, when the national average prices are converted vice as one unit of country B’s currency will purchase in at exchange rates, the resulting prices within the basic country B. 208 Global Purchasing Power Parities and Real Expenditures Real final expenditures. National final expenditures on home. Also includes expenditures on accommodation ser- GDP that have been converted to a common currency and vices provided by hotels and similar establishments. valued at a uniform price level with PPPs. Expenditures so converted reflect only volume differences between coun- Seasonal products. Products for which both prices and the tries. Also referred to as “real values.” quantities sold vary significantly throughout the year. Typi- cally, the patterns of variation are repeated from one year to Recreation and culture. Includes expenditures on audio- the next. Seasonal products vary from country to country. visual, photographic, and information-processing equip- ment; other major durables for recreation and culture; Services. Outputs produced to order that cannot be traded other recreational items and equipment; gardens and pets; separately from their production. Ownership rights cannot recreational and cultural services; newspapers, books, and be established over services and, by the time their produc- stationery; and package holidays. tion is completed, they must have been provided to the consumers. An exception to this rule is a group of industries, Reference PPPs are PPPs that are used for basic headings generally classified as service industries, some of whose out- for which no prices are collected; they are based on prices puts have characteristics of goods. These industries are those collected for other basic headings. concerned with the provision, storage, communication, and dissemination of information, advice, and entertainment in Representative product is one that accounts for a signifi- the broadest sense of those terms. The products of these cant share of the expenditures within a basic heading in the industries, where ownership rights can be established, may country in question. be classified either as goods or services, depending on the medium by which these outputs are supplied. Representativity. A concept that relates to individual prod- ucts within the same basic heading and to the product list SNA93 (System of National Accounts, 1993). A coherent, for a basic heading. consistent, and integrated set of macroeconomic accounts, balance sheets, and tables based on a set of internation- Representativity of a product within a basic heading is ally agreed-upon concepts, definitions, classifications, and defined in terms of a specific country. A product is either accounting rules. representative or unrepresentative of the price level in country A for a given basic heading, irrespective of the rela- Stocks—changes in inventories (including work in prog- tive importance of the basic heading with respect to other ress) consist of changes in basic headings. It is representative if, in country A, the price level of the product is close to the average for all products m Stocks of outputs that are still held by the units that within the basic heading. Usually, though not necessarily, produced them before their being further processed, the purchases of the product will account for a significant sold, delivered to other units, or used in other ways proportion of the total purchases of all products covered and by the basic heading. If not, the product will be sold in at m Stocks of products acquired from other units that least sufficient quantities for its price level to be typical for are intended to be used for intermediate consump- the basic heading. tion or for resale without further processing; they are measured by the value of the entries into inventories, Restaurants and hotels. Includes food products and bever- less the value of withdrawals and the value of any ages sold for immediate consumption away from the home recurrent losses of goods held in inventories. PPPs by hotels, restaurants, cafés, bars, kiosks, street vendors, are not estimated directly; instead, they are imputed automatic vending machines, and so forth; cooked dishes using PPPs for consumer goods equipment. prepared by restaurants for consumption off their premises; cooked dishes prepared by catering contractors, whether Taxes on production. Taxes on the goods and services pro- collected by the customer or delivered to the customer’s duced as outputs by resident enterprises that become pay- Glossary 209 able as a result of the production of these goods or services Volume measures are obtained by using PPPs to convert (that is, taxes payable per unit of good or service produced, final expenditures on product groups, major aggregates, and such as excise duties and nondeductible VAT), plus taxes GDP of different countries into a common currency, valuing that resident enterprises may pay as a consequence of engag- them at a uniform price level. They are the spatial equiva- ing in production (taxes such as payroll taxes and taxes on lent of a time series of GDP for a single country expressed motor vehicles). The former are called “taxes on products,” at constant prices. They provide a measure of the relative and the latter are called “other taxes on production.” magnitudes of the product groups or aggregates being com- pared. At the level of GDP, they are used to compare the Transitivity. The property whereby the direct PPP between economic size of countries. They may be presented either any two countries (or regions) yields the same result as an in relation to a particular currency or as an index number. indirect comparison via a third country (or region). It is sometimes referred to as “circularity.” Sources: Transport. Includes expenditures on purchase of vehicles, The definitions in this Glossary are based on definitions operation of personal transport equipment, and transport from the following publications: services. 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