Living Standards Measurement Study
Also known as: LSMS, LSMS Survey, Living Standards Survey, Integrated Household Survey, World Bank LSMS
The Living Standards Measurement Study (LSMS) is a multi-topic integrated household survey programme launched by the World Bank in 1980 to improve the quality of household data for measuring and analysing welfare in developing countries. Built around a modular questionnaire that links a detailed household interview to community and price questionnaires, the LSMS measures living standards through consumption expenditure rather than income, and connects welfare outcomes to their determinants — employment, education, health, agriculture, and access to services — within a single, internally consistent dataset.
Key highlights
- Measures welfare through consumption, which is smoother over time and generally more reliably reported than income in low-income settings.
- The integrated multi-topic design links welfare to its determinants in one internally consistent dataset, enabling multivariate analysis of poverty.
- Community and price questionnaires allow spatial price deflation and contextual analysis that single household surveys cannot support.
- Decades of methodological documentation and World Bank support make the design well understood, comparable across countries, and widely replicated.
Intuition
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How it works
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When to use it
Use the LSMS approach when you need a single, multi-topic dataset that measures household welfare through consumption and links it to its socio-economic determinants for poverty analysis, policy design, and impact evaluation. It is well suited to producing nationally representative poverty and inequality estimates and to studying the joint determination of welfare, schooling, health, and labour. It is less appropriate when you need rapid, low-cost monitoring, very large samples for small-area precision, or a narrow single-topic instrument; its depth makes fieldwork costly and slow, and the consumption aggregate demands careful, expert construction.
Strengths & limitations
- Measures welfare through consumption, which is smoother over time and generally more reliably reported than income in low-income settings.
- The integrated multi-topic design links welfare to its determinants in one internally consistent dataset, enabling multivariate analysis of poverty.
- Community and price questionnaires allow spatial price deflation and contextual analysis that single household surveys cannot support.
- Decades of methodological documentation and World Bank support make the design well understood, comparable across countries, and widely replicated.
- The detailed consumption interview is long and costly, constraining sample sizes and limiting frequency of data collection.
- Constructing a defensible consumption aggregate (imputing own production, durables, and housing flows) requires considerable expertise and judgment.
- Recall-based consumption is sensitive to the length of the recall period and to telescoping and recall error, which can bias welfare estimates.
- Modest sample sizes limit reliable disaggregation to small geographic areas without combining the data with census-based small-area estimation.
Common pitfalls
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Applications
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Frequently asked
Why does the LSMS measure welfare by consumption rather than income?
In low-income economies a large share of livelihoods comes from self-employment, agriculture, and the informal sector, where income is irregular, seasonal, and hard to report accurately. Consumption is smoother over the year, better reflects permanent income and households' own assessment of their living standard, and is generally reported more reliably. The LSMS therefore builds a comprehensive real consumption aggregate — including the imputed value of home production and the service flow from durables and housing — as its core welfare measure, though it also collects income data.
What are the three questionnaires in a standard LSMS survey?
A household questionnaire administered to each sampled household (consumption, education, health, employment, housing, assets); a community questionnaire collected once per cluster on local infrastructure, services, prices of services, and shocks; and a price questionnaire recording market prices of common goods in or near each community. Together they let analysts build spatial and temporal price deflators and relate household welfare to the local environment.
How is the consumption aggregate used to measure poverty?
The real per-adult-equivalent or per-capita consumption aggregate is compared with a poverty line, usually anchored on the cost of a minimum food basket plus an allowance for non-food needs. Households below the line are counted as poor, yielding the headcount ratio, poverty gap, and squared poverty gap, and the same aggregate supports inequality measures such as the Gini coefficient and distributional analysis.
Sources
- 1.Grosh, M., & Glewwe, P. (Eds.). (2000). Designing Household Survey Questionnaires for Developing Countries: Lessons from 15 Years of the Living Standards Measurement Study. Washington, DC: World Bank.ISBN 9780821345283
- 2.Deaton, A. (1997). The Analysis of Household Surveys: A Microeconometric Approach to Development Policy. Baltimore: Johns Hopkins University Press for the World Bank.ISBN 9780801852541
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Cite this page
ScholarGate. (2026, June 22). Living Standards Measurement Study. ScholarGate. https://scholargate.app/development-studies/living-standards-measurement-survey