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,...
| Main Authors: | , , , |
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| Language: | English English |
| Published: |
World Bank, Washington, DC
2022
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/099642308032231009/IDU0f5dcd5510b83804db908f300f184616538a5 http://hdl.handle.net/10986/37859 |
| Summary: | 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. |
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