Publication:
Profiling Living Conditions of the DRC Urban Population: Access to Housing and Services in Kinshasa Province

Abstract
This paper examines living conditions—mainly access to infrastructure and basic services—in Kinshasa, by focusing on how they vary within the city and how they are related to household characteristics. First, drawing on a household survey conducted in the capital province in 2018, the paper shows that many Kinshasa residents live with substandard housing and inadequate levels of access to infrastructure and basic services. Second, the level and quality of access to basic services are highly correlated with residents’ consumption and education levels, as well as their neighborhood characteristics. Third, despite the presence of negative externalities from the high population density, poor households benefit from living in dense neighborhoods by gaining a minimum level of access. The paper argues that it is imperative to increase the supply of affordable housing to lessen the inequality of access to services in Kinshasa.
Link to Data Set
Citation
Batana, Yele Maweki; Jarotschkin, Alexandra; Konou, Akakpo; Masaki, Takaaki; Nakamura, Shohei; Viboudoulou Vilpoux, Mervy Ever. 2021. Profiling Living Conditions of the DRC Urban Population: Access to Housing and Services in Kinshasa Province. Policy Research Working Paper;No. 9857. © World Bank. http://hdl.handle.net/10986/36633 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review
    (Washington, DC: World Bank, 2025-09-10) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
    (Washington, DC: World Bank, 2025-11-18) Liu, Yan; Wang, He; Yu, Shu
    This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.
  • Publication
    The Lasting Effects of Working while in School
    (Washington, DC: World Bank, 2025-08-18) Ferrando, Mery; Katzkowicz, Noemi; Le Barbanchon, Thomas; Ubfal, Diego
    This paper provides the first experimental evidence on the long-term effects of work-study programs, leveraging a randomized lottery design from a national program in Uruguay. Participation leads to a persistent 11 percent increase in formal labor earnings, observable seven years after the program. Effects are stronger for youth who participate during pivotal educational transitions and are larger for vulnerable youth and men, while remaining positive for women and non-vulnerable youth. The program is highly cost-effective, with average impacts exceeding those of job training programs and comparable to early childhood investments.
  • Publication
    It’s Not (Just) the Tariffs: Rethinking Non-Tariff Measures in a Fragmented Global Economy
    (Washington, DC: World Bank, 2025-10-22) Taglioni, Daria; KEE, Hiau Looi
    As tariffs have declined, non-tariff measures (NTMs) have become central to trade policy, especially in high-income countries and regulated sectors like food and green technologies. Although NTMs may serve legitimate goals, they could also sort countries and firms into or out of markets based on compliance capacity and differences in product mix. Documenting recent advances in the estimation of ad valorem equivalents (AVEs), this paper uncovers new patterns of use and exposure of NTMs. High-income countries rely more heavily on NTMs relative to tariffs, while low- and middle-income countries face steeper AVEs on their exports. Firm-level evidence shows that NTMs disproportionately affect smaller firms, leading to market exit and concentration. Poorly designed NTMs can harm productivity and welfare, while coordinated, capacity-aware use can deliver inclusive outcomes. Policy design, transparency, and diagnostics must evolve to reflect the growing role—and risks—of NTMs in a fragmented global trade landscape.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Demographic and Spatial Disparities in Labor Market Outcomes within the Kinshasa Urban Landscape
    (World Bank, Washington, DC, 2021-11) Batana, Yele Maweki; Jarotschkin, Alexandra; Konou, Akakpo; Masaki, Takaaki; Nakamura, Shohei; Viboudoulou Vilpoux, Mervy Ever
    This paper examines the labor market and jobs in urban Kinshasa, by drawing on a recently collected household survey and other data sets. It particularly focuses on labor supply and employment patterns, job characteristics, and their spatial nexus. The analysis first shows that female and young workers are more likely to experience unemployment and underemployment than other workers in Kinshasa. Second, the availability of good quality jobs is still limited in Kinshasa. Third, in addition to the scarcity of good jobs, which are concentrated in the city core, poor accessibility due to the limited connective infrastructure and transport system further reduces job opportunities for people living in the outskirts.
  • Publication
    Estimating Poverty in Kinshasa by Dealing with Sampling and Comparability Issues
    (World Bank, Washington, DC, 2021-11) Batana, Yele Maweki; Masaki, Takaaki; Nakamura, Shohei; Viboudoulou Vilpoux, Mervy Ever
    This paper proposes monetary poverty and inequality estimates for Kinshasa using a new Kinshasa household survey implemented in 2018. Given the obsolescence of the sampling frame, the survey was sampled using satellite imagery. However, the collection of data in the field was affected by sampling errors that are likely to compromise the representativeness of the sample. After addressing these sampling issues and dealing with some comparability issues with the 2012 survey, the paper shows that poverty and inequality increased significantly during 2012–18 in Kinshasa. Poverty has increased in the city by 12 percentage points, from 53 to 65 percent, partly due to the loss of purchasing power following the sharp depreciation in 2017. Other explanatory factors include demographic factors, human capital, and spatial factors. The deterioration in well-being also appears to have been exacerbated by the onset of the COVID-19 pandemic through decline in labor and nonlabor income and disruptions in goods and services markets and public services.
  • Publication
    Spatial Heterogeneity of COVID-19 Impacts on Urban Household Incomes
    (World Bank, Washington, DC, 2021-08) Batana, Yele Maweki; Nakamura, Shohei; Rajashekar, Anirudh; Viboudoulou Vilpoux, Mervy Ever; Wieser, Christina
    This paper examines spatial heterogeneity in the impacts of the early days of the COVID-19 pandemic on urban household incomes in Ethiopia and Kinshasa, Democratic Republic of Congo. Combining new panel household surveys with spatial data, the fixed-effects regression analysis for Ethiopia finds that households in large and densely populated towns were more likely to lose their labor incomes in the early phase of the pandemic, and their recovery was slower than other households. Disadvantaged groups, such as female, low-skilled, self-employed, and poor, particularly suffered in those towns. In Kinshasa, labor income-mobility elasticities are higher among workers—particularly female and/or low-skilled workers—who live in areas that are located farther from the city core area or highly dense and precarious neighborhoods. The between- and within-city evidence from two Sub-Saharan African countries points to the spatial heterogeneity of COVID-19 impacts, implying the critical role of mobility and accessibility in urban agglomerations.
  • Publication
    Gender Inequality in Multidimensional Welfare Deprivation in West Africa : The Case of Burkina Faso and Togo
    (World Bank, Washington, DC, 2013-06) Agbodji, Akoété Ega; Batana, Yélé Maweki; Ouedraogo, Dénis
    The importance of gender equality is reflected not only in the Millennium Development Goals, but also in the World Bank's Gender Action Plan launched in 2007 as well as in other treaties and actions undertaken at regional and international levels. Unlike other work on gender and poverty, which is mostly based on monetary measurement, the present study makes use of a counting approach to examine gender issues in Burkina Faso and Togo using household surveys. Focusing on six dimensions (housing, basic utilities, assets, education, employment, and access to credit) largely recognized as Millennium Development Goal targets, the main findings of the study indicate that overall individuals are the most deprived in education in Burkina Faso, while the reverse situation is true in Togo. Gender inequality is observed in all dimensions since women always seem to be more deprived than men. The situation is also marked by regional disparities. Moreover, the assessment of dimensional contributions shows different patterns for each country. While employment proves to be the main contributor of gender inequality in Burkina Faso, three dimensions (assets, access to credit, and employment) account together for most of the total contribution to gender inequality in Togo. There is also a positive correlation between multidimensional deprivation and women's age in Burkina Faso, whereas both measures seem to be uncorrelated in Togo.
  • Publication
    Bangladesh - Dhaka : Improving Living Conditions for the Urban Poor
    (2007-04-16) World Bank
    This study on Bangladesh Dhaka-improving living conditions for the urban poor reflects a comprehensive look at poverty in Dhaka with an aim to provide the basis for an urban poverty reduction strategy for the Government of Bangladesh, local authorities, donors, and NGOs. While the needs in Dhaka are enormous, this study focuses on analyzing those critical for the poor - understanding the characteristics and dynamics of poverty, issues of employment, land and housing, basic services, and crime and violence. This analysis will provide a platform for developing recommendations for policy reform as Dhaka endeavors to meet the growing challenges and urgent needs of the urban poor. Each chapter concludes with a set of recommended priorities for poverty reduction.

Users also downloaded

Showing related downloaded files

  • Publication
    Global Economic Prospects, January 2025
    (Washington, DC: World Bank, 2025-01-16) World Bank
    Global growth is expected to hold steady at 2.7 percent in 2025-26. However, the global economy appears to be settling at a low growth rate that will be insufficient to foster sustained economic development—with the possibility of further headwinds from heightened policy uncertainty and adverse trade policy shifts, geopolitical tensions, persistent inflation, and climate-related natural disasters. Against this backdrop, emerging market and developing economies are set to enter the second quarter of the twenty-first century with per capita incomes on a trajectory that implies substantially slower catch-up toward advanced-economy living standards than they previously experienced. Without course corrections, most low-income countries are unlikely to graduate to middle-income status by the middle of the century. Policy action at both global and national levels is needed to foster a more favorable external environment, enhance macroeconomic stability, reduce structural constraints, address the effects of climate change, and thus accelerate long-term growth and development.
  • Publication
    Digital Progress and Trends Report 2023
    (Washington, DC: World Bank, 2024-03-05) World Bank
    Digitalization is the transformational opportunity of our time. The digital sector has become a powerhouse of innovation, economic growth, and job creation. Value added in the IT services sector grew at 8 percent annually during 2000–22, nearly twice as fast as the global economy. Employment growth in IT services reached 7 percent annually, six times higher than total employment growth. The diffusion and adoption of digital technologies are just as critical as their invention. Digital uptake has accelerated since the COVID-19 pandemic, with 1.5 billion new internet users added from 2018 to 2022. The share of firms investing in digital solutions around the world has more than doubled from 2020 to 2022. Low-income countries, vulnerable populations, and small firms, however, have been falling behind, while transformative digital innovations such as artificial intelligence (AI) have been accelerating in higher-income countries. Although more than 90 percent of the population in high-income countries was online in 2022, only one in four people in low-income countries used the internet, and the speed of their connection was typically only a small fraction of that in wealthier countries. As businesses in technologically advanced countries integrate generative AI into their products and services, less than half of the businesses in many low- and middle-income countries have an internet connection. The growing digital divide is exacerbating the poverty and productivity gaps between richer and poorer economies. The Digital Progress and Trends Report series will track global digitalization progress and highlight policy trends, debates, and implications for low- and middle-income countries. The series adds to the global efforts to study the progress and trends of digitalization in two main ways: · By compiling, curating, and analyzing data from diverse sources to present a comprehensive picture of digitalization in low- and middle-income countries, including in-depth analyses on understudied topics. · By developing insights on policy opportunities, challenges, and debates and reflecting the perspectives of various stakeholders and the World Bank’s operational experiences. This report, the first in the series, aims to inform evidence-based policy making and motivate action among internal and external audiences and stakeholders. The report will bring global attention to high-performing countries that have valuable experience to share as well as to areas where efforts will need to be redoubled.
  • Publication
    Global Economic Prospects, June 2025
    (Washington, DC: World Bank, 2025-06-10) World Bank
    The global economy is facing another substantial headwind, emanating largely from an increase in trade tensions and heightened global policy uncertainty. For emerging market and developing economies (EMDEs), the ability to boost job creation and reduce extreme poverty has declined. Key downside risks include a further escalation of trade barriers and continued policy uncertainty. These challenges are exacerbated by subdued foreign direct investment into EMDEs. Global cooperation is needed to restore a more stable international trade environment and scale up support for vulnerable countries grappling with conflict, debt burdens, and climate change. Domestic policy action is also critical to contain inflation risks and strengthen fiscal resilience. To accelerate job creation and long-term growth, structural reforms must focus on raising institutional quality, attracting private investment, and strengthening human capital and labor markets. Countries in fragile and conflict situations face daunting development challenges that will require tailored domestic policy reforms and well-coordinated multilateral support.
  • Publication
    The Container Port Performance Index 2020 to 2024: Trends and Lessons Learned
    (Washington, DC: World Bank, 2025-09-22) World Bank
    The Container Port Performance Index (CPPI) provides a global benchmark of how container ports perform in handling vessel calls. Developed jointly by the World Bank and S&P Global Market Intelligence, it measures the time ships spend in port and relates this to the number of containers moved during that time. This approach makes the CPPI a unique diagnostic tool that can highlight patterns in port operations and shed light on global and regional supply chain dynamics. Now in its fifth edition, the CPPI report covers the period from 2020 to 2024. It builds on a well-established methodology to generate scores for more than 400 container ports worldwide. Over time, the CPPI has become a trusted reference point for policymakers, industry stakeholders, and researchers who seek to understand how ports adapt to shocks, recover from disruptions, and identify opportunities for investments, reform and modernization. A major innovation in this edition is the introduction of multi-year trend analysis. Rather than presenting annual snapshots, the report now tracks how CPPI scores have changed across five years. This longitudinal perspective reveals shifts in port performance, showing where scores have risen, fallen, or remained stable. By linking these movements to external factors, the CPPI offers insights into how global and regional supply chains evolve under pressure. The results clearly mirror the crises that have shaken global trade. During the COVID-19 pandemic, CPPI scores in different regions declined sharply as congestion, equipment shortages, and delays overwhelmed many ports. By 2023, global averages rebounded in parallel with easing freight markets and reduced congestion. Yet 2024 brought new challenges: the Red Sea crisis disrupted major trade lanes, while climate-related constraints at the Panama Canal added further stress. These shocks were reflected in lower global and several regional average scores, underscoring the vulnerability of maritime transport to geopolitical and environmental events. The CPPI is not about comparing one port against another, but about understanding changes in performance over time. Ports that improved their scores often did so by reducing time at anchor, optimizing berth operations, investing in digital tools, and strengthening coordination across logistics partners. The evidence confirms that improvements are possible across ports of all sizes, and that rising scores are linked to deliberate actions to minimize time in port relative to containers moved. By consolidating five years of results, this edition transforms the CPPI into a long-term reference point. It shows how global crises have affected shipping, how different regions have adapted, and what lessons can be drawn for future resilience. The World Bank and S&P Global Market Intelligence remain committed to maintaining the CPPI as a global public good, providing transparency, comparability, and practical insights to support more reliable and sustainable maritime supply chains.
  • Publication
    The Container Port Performance Index 2023
    (Washington, DC: World Bank, 2024-07-18) World Bank
    The Container Port Performance Index (CPPI) measures the time container ships spend in port, making it an important point of reference for stakeholders in the global economy. These stakeholders include port authorities and operators, national governments, supranational organizations, development agencies, and other public and private players in trade and logistics. The index highlights where vessel time in container ports could be improved. Streamlining these processes would benefit all parties involved, including shipping lines, national governments, and consumers. This fourth edition of the CPPI relies on data from 405 container ports with at least 24 container ship port calls in the calendar year 2023. As in earlier editions of the CPPI, the ranking employs two different methodological approaches: an administrative (technical) approach and a statistical approach (using matrix factorization). Combining these two approaches ensures that the overall ranking of container ports reflects actual port performance as closely as possible while also being statistically robust. The CPPI methodology assesses the sequential steps of a container ship port call. ‘Total port hours’ refers to the total time elapsed from the moment a ship arrives at the port until the vessel leaves the berth after completing its cargo operations. The CPPI uses time as an indicator because time is very important to shipping lines, ports, and the entire logistics chain. However, time, as captured by the CPPI, is not the only way to measure port efficiency, so it does not tell the entire story of a port’s performance. Factors that can influence the time vessels spend in ports can be location-specific and under the port’s control (endogenous) or external and beyond the control of the port (exogenous). The CPPI measures time spent in container ports, strictly based on quantitative data only, which do not reveal the underlying factors or root causes of extended port times. A detailed port-specific diagnostic would be required to assess the contribution of underlying factors to the time a vessel spends in port. A very low ranking or a significant change in ranking may warrant special attention, for which the World Bank generally recommends a detailed diagnostic.