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Reproducibility package for Poverty, Prosperity And Planet Report 2026

2026
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Reference ID
FR_WLD_2026_763
Author(s)
Maurizio Bussolo, Kathleen Beegle
Collections
Flagships and Reports
Metadata
JSON
Created on
Sep 28, 2026
Last modified
Oct 21, 2026
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20
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  • Project Description
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  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
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  • Information on metadata
  • Overview

    Abstract

    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.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/659/download/2039/README.pdf
    Reproducibility package for Poverty, Prosperity And Planet Report 2026
    File name
    FR_WLD_2026_763
    Zip package
    FR_WLD_2026_763.zip
    Title
    Reproducibility package for Poverty, Prosperity And Planet Report 2026
    Date
    2026-09
    Dependencies
    Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    19.5

    Reproducibility

    Technology environment

    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

    Technology requirements

    Runtime: 5 hours

    Reproduction instructions

    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.

    Data

    Datasets
    World Bank Country Classifications
    Name
    World Bank Country Classifications
    Note
    Source: World Bank
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups
    Citation
    World Bank. 2026. World Bank Country and Lending Groups [dataset]. https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups. Accessed 2026.
    1000 Binned Global Distribution
    Name
    1000 Binned Global Distribution
    Note
    Source: World Bank
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://datacatalog.worldbank.org/int/search/dataset/0064304/1000-Binned-Global-Distribution
    Citation
    World Bank. 2026. 1000 Binned Global Distribution [dataset]. World Bank Data Catalog. https://datacatalog.worldbank.org/int/search/dataset/0064304/1000-Binned-Global-Distribution. Accessed 2026.
    Global Subnational Poverty Atlas (GSAP)
    Name
    Global Subnational Poverty Atlas (GSAP)
    Note
    Source: World Bank
    Access policy
    Data is publicly available but not included in the reproducibility package due to file size constraints
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://datacatalog.worldbank.org/search/dataset/0042041/global-subnational-poverty-atlas-gsap
    Citation
    World Bank. 2026. Global Subnational Poverty Atlas (GSAP) [dataset]. World Bank Data Catalog. https://datacatalog.worldbank.org/search/dataset/0042041/global-subnational-poverty-atlas-gsap. Accessed 2026.
    Poverty and Inequality Platform (PIP)
    Name
    Poverty and Inequality Platform (PIP)
    Note
    Source: World Bank Poverty and Inequality Platform (PIP).
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://pip.worldbank.org/
    Citation
    World Bank. 2026. Poverty and Inequality Platform (version 20260922_2021) [dataset]. World Bank Group. https://pip.worldbank.org/. Accessed 2026.
    Global Monitoring Database (GMD)
    Name
    Global Monitoring Database (GMD)
    Note
    Source: Data were obtained from the World Bank Datalibweb platform (datalibweb2.worldbank.org/home) using the Stata package datalibweb. Access to survey data in the Global Monitoring Database (GMD) is restricted to World Bank staff using Bank-managed computers and is not available to external users.
    Access policy
    Data is restricted and not included in the reproducibility package.
    License URL
    https://www.worldbank.org/ext/en/access-to-information
    Data URL
    https://datalibweb2.worldbank.org/home
    Citation
    World Bank. 2026. Global Monitoring Database (GMD) [dataset]. Accessed via World Bank Datalibweb.
    World Bank Scorecard Indicators
    Name
    World Bank Scorecard Indicators
    Note
    Source: World Bank
    Access policy
    Data is publicly available and included in the reproducibility package.
    License URL
    https://www.worldbank.org/ext/en/legal/terms-conditions
    Data URL
    https://scorecard.worldbank.org/
    Citation
    World Bank. 2026. World Bank Scorecard Indicators [dataset]. https://scorecard.worldbank.org/. Accessed 2026.
    Greenhouse gas emissions data
    Name
    Greenhouse gas emissions data
    Note
    Sources: World Bank - World Development Indicators.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License URL
    https://www.worldbank.org/en/about/legal/terms-of-use-for-datasets
    Data URL
    https://databank.worldbank.org/source/world-development-indicators
    Citation
    World Bank. 2026. World Development Indicators [dataset]. https://databank.worldbank.org/source/world-development-indicators. Accessed 2026
    Forest Change data
    Name
    Forest Change data
    Note
    Source: Global Nature Watch, World Resources Institute.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License URL
    https://globalnaturewatch.org/terms/
    Data URL
    https://globalnaturewatch.org/dashboards/global/?category=forest-change
    Citation
    Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342: 850–853. https://doi.org/10.1126/science.1244693. Accessed through Global Nature Watch.
    People using safely managed drinking water services (% of population)
    Name
    People using safely managed drinking water services (% of population)
    Note
    Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene, World Health Organization.
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://datacatalog.worldbank.org/int/public-licenses
    Data URL
    https://data.worldbank.org/indicator/SH.H2O.SMDW.ZS
    Citation
    WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene. 2025. People using safely managed drinking water services (% of population) [dataset]. Accessed 2026.
    Population and Environmental Hazard Exposure Data
    Name
    Population and Environmental Hazard Exposure Data
    Note
    Sources: Author's Compiled Data from Population grid from Schiavina et al. (2023a, 2023b); hazardous air from Shen et al. (2024); high water risk from Kuzma et al. (2023); land degradation from Bai et al. (2025); agricultural drought from FAO ASIS; flood data from Sampson et al. (2015) and Deltares (2021); cyclone data from Bloemendaal et al. (2020a, 2020b); and heat-wave data from World Bank CCKP (2024) and Hersbach et al. (2020).
    Access policy
    Data is publicly available and included in the reproducibility package.
    Citation
    Authors' compilation. 2026. “Population and Environmental Hazard Exposure Data” [dataset]. Compiles and synthesizes data from multiple studies.
    3PR 2026 - Chapter 4 Data Figures
    Name
    3PR 2026 - Chapter 4 Data Figures
    Note
    Source: World Bank
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://datacatalog.worldbank.org/int/public-licenses?fragment=cc
    Data URL
    https://datacatalog.worldbank.org/search/dataset/0067180/3pr_2026__chapter_4_data_figures
    Citation
    World Bank. 2026. 3PR 2026 - Chapter 4 Data Figures [dataset]. https://datacatalog.worldbank.org/search/dataset/0067180/3pr_2026__chapter_4_data_figures. Accessed 2026
    World Bank's Multidimensional Poverty Measure
    Name
    World Bank's Multidimensional Poverty Measure
    Note
    Source: World Bank
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://datacatalog.worldbank.org/int/public-licenses?fragment=cc
    Data URL
    https://datacatalog.worldbank.org/search/dataset/0037589/world-banks-multidimensional-poverty-measure
    Citation
    World Bank. 2026. World Bank's Multidimensional Poverty Measure [dataset]. World Bank Group. https://datacatalog.worldbank.org/search/dataset/0037589/world-banks-multidimensional-poverty-measure. Accessed 2026.
    Subnational Poverty and Inequality Database (SPID)
    Name
    Subnational Poverty and Inequality Database (SPID)
    Note
    Source: World Bank
    Access policy
    Data is publicly available but not included in the reproducibility package due to file size constraints
    License
    Creative Commons Attribution 4.0 (CC-BY 4.0)
    License URL
    https://datacatalog.worldbank.org/int/public-licenses?fragment=cc
    Data URL
    https://datacatalog.worldbank.org/search/dataset/0064796/subnational-poverty-and-inequality-database-spid
    Citation
    World Bank. 2026. Subnational Poverty and Inequality Database (SPID) [dataset]. World Bank Group. https://datacatalog.worldbank.org/search/dataset/0064796/subnational-poverty-and-inequality-database-spid Accessed 2026.
    Poverty rates data
    Name
    Poverty rates data
    Note
    Source: Luxembourg Income Study (LIS)
    Access policy
    Data access requires purchase or human approval and is not included in the reproducibility package.
    License URL
    https://www.lisdatacenter.org/about-lis/terms-of-use/
    Data URL
    https://www.lisdatacenter.org/our-data/lis-database/
    Citation
    Luxembourg Income Study (LIS). 2026. Poverty rates data [dataset]. https://www.lisdatacenter.org/our-data/lis-database. Accessed 2026.
    Data statement

    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.

    Description

    Output
    Poverty, Prosperity And Planet Report 2026
    Type
    Flagship or other report
    Title
    Poverty, Prosperity And Planet Report 2026
    Description
    World Bank Reports & Flagships
    Authors
    Author Affiliation Email
    Maurizio Bussolo World Bank mbussolo@worldbank.org
    Kathleen Beegle World Bank kbeegle@worldbank.org
    Date of production

    2026-09-28

    Scope and coverage

    Geographic locations
    Location Code
    World WLD
    Keywords
    Poverty Prosperity Planet Jobs

    Disclaimer

    Disclaimer

    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.

    Access and rights

    License
    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

    Contacts

    Contacts
    Name Affiliation Email
    Maurizio Bussolo World Bank mbussolo@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2026-09-28

    Document version

    1

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