Other Poverty Study
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Publication
Solomon Islands High Frequency Phone Survey on COVID-19: Results from Round Two - Data Collection: December 2020 – January 2021, and April 2021
(Washington, DC: World Bank, 2022-03-01)This report presents the findings of the second of five planned rounds of mobilephone surveys, as well as the results of a companion survey funded by UNICEF. Thefirst World Bank High Frequency Phone Survey (HFPS) in Solomon Islands on thesocioeconomic implications of the coronavirus pandemic found wide rangingimpacts that deserve to be monitored as long as the pandemic continues -
Publication
Cox's Bazar: Inclusive Growth Diagnostic
(World Bank, Washington, DC, 2022-01-14)The district of Cox’s Bazar, in southeastern Bangladesh, is an instructive context to understand how long-standing and newer growth opportunities and constraints manifest at the local level, remote from Bangladesh’s major growth poles of Dhaka and Chittagong. Potentially exacerbating Cox’s Bazar’s pre-existing development challenges, the district is hosting a large influx of displaced Myanmar nationals (Rohingya). More than 884,000 people have crossed into Bangladesh from Myanmar, the vast majority since August 2017, more than doubling the population living in the Cox’s Bazar upazilas of Teknaf and Ukhia, which had higher poverty rates than the rest of the district prior to the arrival of Rohingya. -
Publication
Capturing What Matters: Essential Guidelines for Designing Household Surveys
(World Bank, Washington, DC, 2021-12)The World Bank is an international leader in the methodology and implementation of household surveys, working in close partnership with national statistics offices (NSOs) around the world. This guidebook is a consolidation of field-tested best practices to implement, improve, and modernize nationally representative multi-topic household surveys for monitoring welfare and poverty. Offered as a reference guide for task team leaders (TTLs) within the World Bank, the guidebook is intended as a powerful tool for any survey practitioners (such as NSOs, development partners, educators, researchers, and students) implementing household surveys in low- and middle-income countries. This guidebook starts with survey design, the first step in any survey undertaking, with careful attention given to minimizing non-sampling errors. Subsequent sections are sampling; questionnaire modules, which form the core of this guidebook; followed by geographic information systems (GIS); computer-assisted personal interviewing (CAPI); and finally, documentation and dissemination of the resulting data. -
Publication
Monitoring COVID-19 Impacts on Households in Uganda: Findings from the Seventh Round of the High-Frequency Phone Survey
(Washington, DC: World Bank, 2021-11-01)In June 2020, the Uganda Bureau of Statistics, with the support from the World Bank, has launched the high-frequency phone survey on Coronavirus disease 2019 (COVID-19) to track the impacts of the pandemic on a monthly basis for a period of 12 months. The survey aimed to recontact the entire sample of households that had been interviewed during the Uganda national panel survey 2019-20 round and that had phone numbers for at least one household member or a reference individual. This report presents the findings from the seventh round of the survey that was conducted between October 15th and November 15th, 2021. -
Publication
COVID-19 in Nigeria: Frontline Data and Pathways for Policy
(World Bank, Washington, DC, 2021-11)The COVID-19 (coronavirus) pandemic and its economic and social effects on households have created an urgent need for timely data to help monitor and mitigate the social and economic impacts of the crisis and protect the welfare of Nigerian society. To monitor how the COVID-19 pandemic is affecting the economy and people of Nigeria and to inform policy interventions and responses, the National Bureau of Statistics with technical support from the World Bank implemented the Nigeria COVID-19 National Longitudinal Phone Survey (NLPS) from April 2020 to April 2021. This report draws on NLPS and other relevant data to analyze COVID-19 impacts in Nigeria’s human capital, livelihoods and welfare. It also looks ahead to the broad challenges of building back better in Nigeria and summarizes priorities for policymaking and implementation. -
Publication
Multidimensional Poverty in Malaysia: Improving Measurement and Policies in the 2020s
(World Bank, Washington, DC, 2021-06-30)It has long been recognized that poverty is multidimensional, comprising not only insufficient income but also deprivations in access to basic services, the quality of living conditions, personal security, and other aspects of well-being. Since 2010 there has been rapid growth in the development and use of quantitative measures of multidimensional poverty. This paper analyzes the construction and use of the Multidimensional Poverty Index (MPI) in Malaysia, which the Malaysian government introduced in its national development plan for 2015–2020. It examines avenues for improving the relevance of the MPI in policy discourse by setting deprivation thresholds of the various MPI dimensions (health, education, living conditions, income) at levels more appropriate for an upper-middle-income country such as Malaysia. Recent national survey data are used to estimate the quantitative impact of incrementally adjusting the thresholds of indicators in the current MPI. The potential for new indicators is also explored, drawing from the MPIs used in other middle- and high-income countries. The role of the MPI for informing and monitoring anti-poverty policies is discussed, focusing on unpacking the dimensions of poverty embedded in the MPI, so that policies are better matched to the deprivations observed. -
Publication
Improving Outcomes for Displaced Rohingya People and Hosts in Cox’s Bazar: Current Evidence and Knowledge Gaps
(World Bank, Washington, DC, 2021-06-08)Since August 2017, more than 725,000 Displaced Rohingya People (DRP) have crossed into Bangladesh from Rakhine State in Myanmar. The influx has resulted in a protracted humanitarian crisis, as hundreds of thousands of DRP have settled into largely makeshift camps in the Cox’s Bazar (CXB) district. The DRP remain almost entirely reliant on humanitarian assistance for food, shelter, education, and healthcare. Bangladeshi host communities (HC) in the affected areas faced difficult economic conditions before 2017, and the arrival of Rohingya may have exacerbated some of these challenges. Currently, as the crisis in CXB extends due to uncertain plans for Rohingya repatriation, a review of available evidence is needed to inform the ongoing humanitarian response and guide subsequent analytical research on inclusive development outcomes for both DRP and host communities. In addition to implementing humanitarian programs in the Rohingya response, several organizations, including the World Bank, are generating knowledge products to improve the results of humanitarian action in CXB and advance longer-term development goals. The literature generated thus far is heterogeneous in approach, methods, and quality. To date, no study exists that synthesizes the findings from these studies to provide an overview for policy makers and researchers. This paper aims to identify knowledge gaps through a rapid evidence assessment of literature on the CXB region, the DRPs, and the HC. By mapping the current evidence and knowledge gaps around improving outcomes for the DRP and HC, this paper intends to provide national stakeholders, development agencies, and their partners with a holistic picture of the analytical work taking place on the ground and to indicate further research that may be needed during the ongoing humanitarian and development response. -
Publication
Monitoring the Socio-Economic Impacts of COVID-19 on Djiboutian and Refugee Households in Djibouti: Results from the Third Wave of Survey
(World Bank, Washington, DC, 2021-05-27)The third round of data collection on monitoring of socio-economic impacts of the COVID-19 (coronavirus) pandemic in Djibouti followed urban national households based on two previous waves of data collection as well as a replacement sub-sample. This round also includes a refugee sub-sample, covering urban refugees and those based in refugee villages. Economic recovery in Djibouti continues to follow a positive trend. Breadwinners from Djiboutian households continue to come back to work. Only 4 percent of those working before the pandemic were not working at the time of the survey. Even when counting those who were not working before the pandemic, 83 percent of all national households' breadwinners are now working – continuing strong trends from waves 1 and 2. Nationals with waged work grew from 22 to 76 percent in that time, and only 9 percent of those currently working report working less than usual. Djiboutian workers are also working more – but for less pay. Only one in five Djiboutian breadwinners are working less than they were before the pandemic or not at all. However, half of those who worked less than usual received no pay in wave 3 – 53 percent up from 35 percent in wave 2, and fewer received partial payment compared to the previous waves. Poor households were more likely to have received no pay for work performed. Refugees based in refugee villages face worse employment conditions than those living in urban areas or urban nationals. They were less likely to be employed prior to COVID-19, more likely to lose their job during pandemic, and do not exhibit similar signs of recovery. Around 68 percent of urban refugee breadwinners are currently working and 7 percent who worked before the pandemic are currently not working. In comparison, less than half (49 percent) of refugee breadwinners based in refugee villages are currently working, and 16 percent are no longer working relative to pre-COVID-19. A quarter of urban refugees and around 35 percent of refugees in refugee villages worked neither now nor before the pandemic, and nearly a third (29 percent) of the latter who are working report working less than usual. In addition, refugee breadwinners’ concentration in the informal sector (87 percent) highlights the precarity of their livelihood. -
Publication
The Gradual Rise and Rapid Decline of the Middle Class in Latin America and the Caribbean
(World Bank, Washington, DC, 2021-05-20)Latin America and the Caribbean (LAC) reported over 30 million Coronavirus (COVID-19) cases and around 960,000 deaths as of May 2021. Official tracking data shows that Brazil, Colombia, and Argentina have the highest number of reported cases throughout LAC, which in turn is the region with among the highest numbers across all developing regions. Moreover, Brazil is the third-worst affected country worldwide, after the United States and India, with approximately 15.4 million infections. Dramatic declines in economic activity are expected throughout the LAC region due to the global pandemic. Unfortunately, many LAC countries entered the crisis with low potential economic growth and high levels of inequality, following the region’s recent period of stagnant growth. The 2020 COVID-19 crisis will likely reverse in a short time frame many of the social gains that took decades to materialize in Latin America and the Caribbean. In the past two decades, the region has seen a reduction in the number of people living in poverty by nearly half and an increase in the size of its middle class. Income inequality also decreased, as income growth has been primarily pro-poor in recent years. Despite variations across countries, most have experienced positive welfare gains since the early 2000s. However, the growth deceleration of 2014–2019 coupled with the dramatic fall in activity caused by the COVID-19 crisis will negatively impact living standards and well-being across the region. Poverty projections for 2020 suggest that the number of the poor increased in most LAC countries. Brazil, however, implemented a generous emergency transfer program that benefited almost 67 million people and lifted millions out of poverty. As a result, poverty in the LAC region is expected to decline marginally from 22 percent in 2019 to 21.8 percent in 2020. Had no mitigation measures been implemented, the region may instead have seen 28 million new poor in 2020. -
Publication
LSMS+ Program: Overview and Recommendations for Improving Individual-Disaggregated Data on Asset Ownership and Labor Outcomes
(World Bank, Washington, DC, 2021-05-05)Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men’s and women’s economic opportunities and welfare. This report presents an overview of the LSMS+ program and provides operational guidance regarding individual-disaggregated data collection in large-scale household surveys, based on the experience with and analysis of the national surveys that have been implemented by the respective national statistical offices (NSOs) in Cambodia, Ethiopia, Malawi, Tanzania over the period 2016-2020, with support from the LSMS+ program.