The Poverty, Prosperity, and Planet Report 2026: Jobs at the Center of Poverty Eradication assesses global progress toward ending extreme poverty and boosting shared prosperity on a livable planet. After three decades of historic gains, extreme poverty reduction has stalled. In 2026, an estimated 811 million people, 1 in 10 worldwide, are living on less than $3.00 a day, while nearly half of humanity is living on less than $8.30 a day. Poverty is increasingly concentrated in Sub-Saharan Africa and fragile and conflict-affected situations, where rapid population growth, insufficient economic growth, and exposure to various shocks make progress extremely difficult.
Through the deeply probing lens of poverty, prosperity, and planetary sustainability, the report finds that the number of economies with high inequality is falling. Yet, many people, including a growing share of the extreme poor, still live in highly unequal economies. Progress in closing the Global Prosperity Gap – an indicator that combines the tracking of both progress in average income and improvements in equity, has also slowed. Climate hazards, ecosystem degradation, food insecurity, and inadequate water and sanitation are threatening the gains in development, especially among those people and households with the fewest resources to withstand and recover from shocks. Ending extreme poverty would add relatively little to the cost or impacts of global emissions, demonstrating that poverty reduction and climate protection are not competing goals.
Placing jobs at the center of poverty eradication, the report provides new evidence on how employment and earnings shape household welfare. Labor is the main, and often the only, asset of the poor. Adults in poor and nonpoor households are about equally likely to be employed. Yet roughly one in three adults in poor households are not employed, and most of them are women. Those who work tend to earn less, work fewer hours, and support more dependents than their nonpoor counterparts. Both expanding employment opportunities and increasing earnings can reduce poverty, but their benefits differ across the distribution: higher earnings matter most for the poorest, while greater employment, particularly among women, benefits the near-poor most. Reinvigorating poverty reduction therefore requires both expanding access to jobs and improving the returns to the work that poor people already perform.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
• Memory available: 15.7 GB
• Software version: Stata 19.5 MP
Runtime: 5 hours
The package is organized as one sub-package per chapter, each with its own README describing the data sources, code, and execution steps. A consolidated README at the root of the package provides an overview of the full reproducibility package. Most figures are generated from the raw or intermediate datasets included in each chapter's 1-data folder; however, some figures are produced directly in Excel and do not involve code.
A new user can reproduce the findings of the report by following these steps:
Chapter 1: Update the project globals and run the Stata ch1_0_master do-file. All outputs will be generated in the 2-output folder.
Chapter 2: Update the project globals and run the Stata ch2_0_master do-file. All outputs will be generated in the 2-output folder.
Chapter 3: Update the project globals and run the Stata fig3_master do-file. Outputs will be generated in separate Excel files corresponding to the figures in this chapter.
Chapter 4: Update the project globals and run the Stata master_ch4 do-file. All outputs will be generated in the 2-output folder.
Since not all data are included, the package contains outputs generated by the replicators. These files can be used to review and verify the results presented in the report.
The reproducibility package relies on 3 types of data: open, accessible (public but not included in the reproducibility package), and restricted data (available only from the data owners). For the source, access type, file location, and citation of each dataset, refer to the Datasets section and the README file.
| Author | Affiliation | |
|---|---|---|
| Maurizio Bussolo | World Bank | mbussolo@worldbank.org |
| Kathleen Beegle | World Bank | kbeegle@worldbank.org |
2026-09-28
| Location | Code |
|---|---|
| World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| MIT License | https://opensource.org/license/mit |
| World Bank IGO Rider | https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md |
| Name | Affiliation | |
|---|---|---|
| Maurizio Bussolo | World Bank | mbussolo@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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