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Finding Data: Data on Longitudinal Surveys - Africa

ACCESS TO THESE DATA FILES ARE RESTRICTED TO CURRENTLY ENROLLED/EMPLOYED MEMBERS OF PRINCETON UNIVERSITY.

  • Ethiopian Rural Household Survey Dataset, 1989-2009 (ERHS)
    Longitudinal household data set covering households in a number of villages in rural Ethiopia. Data collection started in 1989, when a team visited 6 farming villages in Central and Southern Ethiopia. In 1989, IFPRI conducted a survey in 7 Peasant Associations located in the regions Amhara, Oromiya and the Southern Ethiopian People's Association (SNNPR). Civil conflict prevented survey work from being undertaken in Tigray. Under extremely difficult field conditions, household data were collected in order to study the response of households to food crises. The study collected consumption, asset and income data on about 450 households. In 1994, the survey was expanded to cover 15 villages across the country. An additional round was conducted in late 1994, with further rounds in 1995, 1997, 1999, 2004, and 2009. In addition, 9 new villages were selected giving a sample of 1477 households. The 9 additional communities were selected to account for the diversity in the farming systems in the country, including the grain-plough areas of the Northern and Central highlands, the enset-growing areas and the sorghum-hoe areas. Topics addressed in the survey include household characteristics, agriculture and livestock information, food consumption, health, women's activities, as well as community level data on electricity and water, sewage and toilet facilities, health services, education, NGO activity, migration, wages, and production and marketing.

  • Malawi Longitudinal Study of Families and Health (MLSFH)
    [previous title: Malawi Diffusion and Ideational Change Project (MDICP)]. One of very few long- standing longitudinal cohort studies in a poor Sub-Saharan African (SSA) context. It provides a rare record of more than a decade of demographic, socioeconomic, and health conditions in one of the world's poorest countries. The MLSFH cohorts were selected to represent the rural population of Malawi, where the vast majority of Malawians live in conditions that are similar to those in the rural areas of other countries with high HIV prevalence: health conditions are poor, health facilities and schools are over-burdened and under-staffed, standards of living are low and nutritional needs of adults, children and the elderly are often not met. With 7 major data collection rounds between 1998 and 2012 for up to 4,000 individuals, as well as ancillary surveys and qualitative studies, the MLSFH has been a premier dataset for research on health, family dynamics, social networks, and HIV infection risks in a rural SSA context. Providing public-use data on the socioeconomic context, demographics and health of individuals and their families in Malawi over more than a decade, the MLSFH has been the basis of more than 150 publications and working papers submitted for publication. Importantly, the MLSFH has also informed health policy discussions in Malawi and elsewhere in SSA. The MLSFH/MDICP was originally developed as a sister project of the Kenya Diffusion and Ideational Change Project (KDICP), but with a larger sample and greater geographical dispersion. Both the KDICP and the MLSFH/MDICP aimed to examine the role of social interactions in changing demographic attitudes and behavior. The first 2 waves of the MLSFH data collected in 1998 and 2001 are archived and available for download at ICPSR-DSDR. The first 2 waves focused on two key empirical questions: the roles of social interactions in (1) the acceptance (or rejection) of modern contraceptive methods and of smaller ideal family size and (2) the diffusion of knowledge of AIDS symptoms and transmission mechanisms and the evaluation of acceptable strategies of protection against AIDS.

  • National Income Dynamics Study (2008+)
    Face-to-face longitudinal survey of individuals living in South Africa as well as their households. Designed to give effect to the dimensions of the well-being of South Africans, to be tracked over time. At the broadest level, these were: Wealth creation in terms of income and expenditure dynamics and asset endowments; Demographic dynamics as these relate to household composition and migration; Social heritage, including education and employment dynamics, the impact of life events (including positive and negative shocks), social capital and intergenerational developments; Access to cash transfers and social services.

This page last updated: October 21, 2009