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The Living Standards Measurement Study (LSMS)

The World Bank's flagship household survey program since 1980.

Our programs

The LSMS strives to keep its programs aligned with the shifting global needs in policy and analytical priorities, as well as the latest advances in technology and survey methodology.

LSMS-ISA LSMS+

The Living Standards Measurement Study (LSMS) is the World Bank's flagship household survey program focused on strengthening household survey systems in client countries and on improving the quality of microdata to better inform development policies. The LSMS team is housed in the Data Production and Methods Unit of the World Bank’s Development Data Group.


Featured

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Advancing Gender Equality through Household Surveys: LSMS+

Every single data point has a human story. With support from the LSMS+ Program, countries as Cambodia are implementing a new generation of household surveys with improved methods to capture key dimensions of men’s and women’s economic opportunities and welfare.

High-Frequency Phone Surveys

LSMS is supporting high-frequency phone surveys in Burkina Faso, Ethiopia, Malawi, Mali, Nigeria, Tanzania and Uganda to track responses to and socio-economic impacts of COVID-19 and economic shocks.

LSMS Data Catalog

Access Our Data

LSMS data are publicly available and open access: explore the full datasets in the World Bank’s Microdata Catalog


PUBLICATION

8 technical priorities to position household surveys for the next decade

Recommendations to set up a bold vision that transforms household survey systems to achieve the SDGs.

EVENT

The 9th International Conference on Agricultural Statistics

This conference brings together experts from around the world to share research and operational accomplishments, and to explore the latest methodological innovations by countries and development partners. The ICAS IX will take place from May 17 – 19, 2023 in Washington DC.

TRAINING

Measuring Income, Wealth and Well-being in Africa (presentation slides ...

This session aims at to train graduate students, junior national statistics office (NSO) staff and other survey practitioners, as well as early career researchers in survey methods, in the fundamentals of collecting and analyzing information on household income and wealth via household surveys.