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Relative Wealth Index

Source Facebook
Contributor Data for Good at Meta (previously Facebook)
Date of Dataset April 01, 2021-January 28, 2022
Updated 19 January 2022
Expected Update Frequency As needed
Location
Albania,  Algeria,  Angola,  Argentina,  Azerbaijan,  Bangladesh,  Belize,  Benin,  Bhutan,  Bolivia (Plurinational State of),  Bosnia And Herzegowina,  Botswana,  Brazil,  Bulgaria,  Burkina Faso,  Burundi,  Cabo Verde,  Cambodia,  Central African Republic,  Chad,  Colombia,  Comoros,  Congo,  Costa Rica,  Côte d'Ivoire,  Democratic Republic of the Congo,  Djibouti,  Dominica,  Dominican Republic,  Ecuador,  Egypt,  Equatorial Guinea,  Eritrea,  Ethiopia,  Gabon,  Georgia,  Ghana,  Grenada,  Guatemala,  Guinea,  Guinea-Bissau,  Guyana,  Haiti,  Honduras,  India,  Indonesia,  Jamaica,  Jordan,  Kazakhstan,  Kenya,  Kyrgyzstan,  Lao People's Democratic Republic,  Lesotho,  Liberia,  Libya,  Madagascar,  Malawi,  Malaysia,  Maldives,  Mali,  Mauritania,  Mauritius,  Mexico,  Moldova, Republic Of,  Mongolia,  Montenegro,  Morocco,  Mozambique,  Namibia,  Nepal,  Netherlands,  Nicaragua,  Niger,  North Macedonia,  Pakistan,  Paraguay,  Peru,  Philippines,  Romania,  Saint Lucia,  Saint Vincent And The Grenadines,  Serbia,  South Africa,  Sri Lanka,  Tajikistan,  Thailand,  Timor-Leste,  Togo,  Tunisia,  Turkey,  Turkmenistan,  Uganda,  Ukraine,  United Republic of Tanzania,  Uzbekistan,  Viet Nam,  Zambia,  Zimbabwe
Visibility
Public
License Other :

Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0)

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

NonCommercial — You may not use the material for commercial purposes.

Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119
Methodology

Researchers at the University of California - Berkeley and Facebook developed micro-estimates of wealth and poverty that cover the populated surface of all 135 low and middle-income countries (LMICs) at 2.4km resolution. The estimates are built by applying machine learning algorithms to vast and heterogeneous data from satellites, mobile phone networks, topographic maps, as well as aggregated and de-identified connectivity data from Facebook. They train and calibrate the estimates using nationally-representative household survey 20 data from 56 LMICs, then validate their accuracy using four independent sources of household survey data from 18 countries. They also provide confidence intervals for each micro-estimate to facilitate responsible downstream use.

Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119
Caveats / Comments
Tags
economics
poverty
socioeconomics
File Format