So sánh phương pháp

	Demographic and Health Survey Analysis	Living Standards Measurement Study
Lĩnh vực	Development Studies	Development Studies
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1984	1980
Người khởi xướng	USAID / The DHS Program (ICF)	World Bank (Living Standards Measurement Study programme)
Loại	Nationally representative population and health survey	Multi-topic integrated household survey
Công trình gốc	Croft, T. N., Marshall, A. M. J., Allen, C. K., et al. (2018). Guide to DHS Statistics: DHS-7. Rockville, MD: ICF, The DHS Program.	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
Tên gọi khác	DHS, Demographic and Health Survey, DHS Program survey, Standard DHS	LSMS, LSMS Survey, Living Standards Survey, Integrated Household Survey
Liên quan	4	4
Tóm tắt	The Demographic and Health Surveys (DHS) are nationally representative household surveys that provide standardised, internationally comparable data on population, health, and nutrition in low- and middle-income countries. Funded primarily by USAID and implemented through The DHS Program, they use model questionnaires, a complex multi-stage sample design, and a standardised wealth index to produce indicators of fertility, child and maternal mortality, family planning, child nutrition, and disease prevalence that drive health policy and programme monitoring worldwide.	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.