Dataset

Population-Weighted Wealth Mapping

This tutorial will guide the user through the creation of population-weighted wealth maps and statistics for administrative areas of interest. After an explanation of micro-level wealth and population estimates, the user will learn to obtain this data for a country of interest alongside the boundaries for the country's administrative areas. These population and wealth data are next joined by location, aggregated to administrative areas, and the wealth data weighted by population. The user is finally guided through validation of their results and exporting the results as maps and tabular statistics. Throughout, the user will be introduced to widely useful Python packages and code as well as Google Earth Engine, a powerful tool for analyzing geographic and satellite imagery.

Data and Resources

Population Weighted Wealth Mapping Tutorial

HTML

Full tutorial on creating aggregated, population-weighted wealth estimates.

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GitHub Repository with Source Code for Population Weighted Wealth Mapping

ipynb

GitHub repository containing full source code as Jupyter Notebook for Population Weighted Wealth Mapping tutorial.

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Relative Wealth Index Overview

Facebook's Data for Good overview of the Relative Wealth Index project.

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Tags

Additional Info

Field	Value
Author(s)	Natalie Ayers, with contributing author Emily Aiken
Last Updated	April 6, 2022, 23:59 (UTC)
Created	September 12, 2021, 02:39 (UTC)
Stable Link	https://learn.geo4.dev/Population-Weighted-Wealth.html
Date	2021-09-13
Content Type	Training Materials
Primary Category	Demographics & Socioeconomics
Sub Category	Socioeconomics
Country Name	Global, Jordan
Associated Datasets	Relative Wealth Index (https://data.humdata.org/dataset/relative-wealth-index); Population Density Maps (https://dataforgood.fb.com/docs/methodology-high-resolution-population-density-maps-demographic-estimates/); WorldPop (https://www.worldpop.org/methods/populations); GADM (https://gadm.org/); FAO GAUL 2015 (https://data.apps.fao.org/map/catalog/srv/api/records/9c35ba10-5649-41c8-bdfc-eb78e9e65654); Demographic and Health Surveys (https://www.dhsprogram.com/)
Publishing Organization	Center For Effective Global Action