This guide provides an overview of the use of both traditional and novel data sources in generating poverty maps and the related methodological implications.
The resource focuses on the use of both traditional and new methods and data sources in generating poverty maps, which are noted as an increasingly useful tool for evaluation. It is suggested that using new sources of relevant data in generating such maps helps improve how we assess the relevance and effectiveness of development interventions.
The paper explores the implications of using the following data sources for poverty mapping:
- Survey and census data
- Global System for Mobile Communications, smartphone, and Wi-Fi indicators
- Call detail records
- Daytime and nighttime remote sensing imagery
- The Survey of Well-being via Instant and Frequent Tracking.
Each section provides a brief overview of the data requirements, methodology, and applicability of each source. The paper also 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 sources.
Ziulu, V., Meckler, J., Hernández Licona, G. & Vaessen, J. (2022). Poverty Mapping: Innovative Approaches to Creating Poverty Maps with New Data Sources. IEG Methods and Evaluation Capacity Development Working Paper Series. Independent Evaluation Group. Washington, DC: World Bank. https://ieg.worldbankgroup.org/sites/default/files/Data/Evaluation/files/20220908_poverty_mapping_v1_0.pdf
These resources are part of the IEG methods papers series.
'Poverty mapping: Innovative approaches to creating poverty maps with new data sources' is referenced in: