Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources

Geographically disaggregated poverty data are vital for better understanding development issues and ensuring development efforts are directed to the places where they are most needed. Poverty has traditionally been measured by data on consumption,...

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Main Authors:	Ziuli, Virginia, Meckler, Jessica, Hernández Licona, Gonzalo, Vaessen, Jozef
Format:	Working Paper
Language:	English English
Published:	World Bank, Washington, DC 2022
Subjects:	POVERTY INDICATORS NEW DATA SOURCES BIG DATA POVERTY MAP WELL-BEING DATA TRACKING NOVEL DATA SOURCES SATELLITE IMAGERY CONNECTIVITY DATA
Online Access:	http://documents.worldbank.org/curated/en/099642308032231009/IDU0f5dcd5510b83804db908f300f184616538a5 http://hdl.handle.net/10986/37859

id	okr-10986-37859
recordtype	oai_dc
spelling	okr-10986-378592022-08-10T05:10:56Z Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources Ziuli, Virginia Meckler, Jessica Hernández Licona, Gonzalo Vaessen, Jozef POVERTY INDICATORS NEW DATA SOURCES BIG DATA POVERTY MAP WELL-BEING DATA TRACKING NOVEL DATA SOURCES SATELLITE IMAGERY CONNECTIVITY DATA Geographically disaggregated poverty data are vital for better understanding development issues and ensuring development efforts are directed to the places where they are most needed. Poverty has traditionally been measured by data on consumption, income, or assets. However, recent advances in computing power and the emergence of new methods has made it increasingly feasible to produce reliable, cost-effective, and timely poverty maps by extracting features from novel data sources such as satellite imagery, call detail records, and internet connectivity indicators. This paper explores the methodological implications of using both traditional and novel data sources to generate poverty maps. Specifically, it examines the applications of (i) survey and census data; (ii) Global System for Mobile Communications, smartphone, and Wi-Fi indicators; (iii) call detail records; (iv) daytime and nighttime remote sensing imagery; and (v) the Survey of Well-being via Instant and Frequent Tracking for poverty mapping. Each section provides a brief overview of the data requirements, methodology, and applicability considerations of the data source under consideration. In addition, the paper discusses the usefulness and limitations of each approach in the field of evaluation, providing concrete examples of poverty maps created from each of the listed data sources. 2022-08-09T21:06:56Z 2022-08-09T21:06:56Z 2022-08 Working Paper http://documents.worldbank.org/curated/en/099642308032231009/IDU0f5dcd5510b83804db908f300f184616538a5 http://hdl.handle.net/10986/37859 English en IEG Methods and Evaluation Capacity Development Working Paper; CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Annual Reports & Independent Evaluations :: IEG Independent Evaluations & Annual Reviews
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English English
topic	POVERTY INDICATORS NEW DATA SOURCES BIG DATA POVERTY MAP WELL-BEING DATA TRACKING NOVEL DATA SOURCES SATELLITE IMAGERY CONNECTIVITY DATA
spellingShingle	POVERTY INDICATORS NEW DATA SOURCES BIG DATA POVERTY MAP WELL-BEING DATA TRACKING NOVEL DATA SOURCES SATELLITE IMAGERY CONNECTIVITY DATA Ziuli, Virginia Meckler, Jessica Hernández Licona, Gonzalo Vaessen, Jozef Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources
relation	IEG Methods and Evaluation Capacity Development Working Paper;
description	Geographically disaggregated poverty data are vital for better understanding development issues and ensuring development efforts are directed to the places where they are most needed. Poverty has traditionally been measured by data on consumption, income, or assets. However, recent advances in computing power and the emergence of new methods has made it increasingly feasible to produce reliable, cost-effective, and timely poverty maps by extracting features from novel data sources such as satellite imagery, call detail records, and internet connectivity indicators. This paper explores the methodological implications of using both traditional and novel data sources to generate poverty maps. Specifically, it examines the applications of (i) survey and census data; (ii) Global System for Mobile Communications, smartphone, and Wi-Fi indicators; (iii) call detail records; (iv) daytime and nighttime remote sensing imagery; and (v) the Survey of Well-being via Instant and Frequent Tracking for poverty mapping. Each section provides a brief overview of the data requirements, methodology, and applicability considerations of the data source under consideration. In addition, the paper discusses the usefulness and limitations of each approach in the field of evaluation, providing concrete examples of poverty maps created from each of the listed data sources.
format	Working Paper
author	Ziuli, Virginia Meckler, Jessica Hernández Licona, Gonzalo Vaessen, Jozef
author_facet	Ziuli, Virginia Meckler, Jessica Hernández Licona, Gonzalo Vaessen, Jozef
author_sort	Ziuli, Virginia
title	Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources
title_short	Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources
title_full	Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources
title_fullStr	Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources
title_full_unstemmed	Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources
title_sort	poverty mapping : innovative approaches to creating poverty maps with new data sources
publisher	World Bank, Washington, DC
publishDate	2022
url	http://documents.worldbank.org/curated/en/099642308032231009/IDU0f5dcd5510b83804db908f300f184616538a5 http://hdl.handle.net/10986/37859
_version_	1764488006665764864

Poverty Mapping : Innovative Approaches to Creating Poverty Maps with New Data Sources

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