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The Costa Rican Longevity and Healthy Aging Study (CRELES, or Costa Rica Estudio de Longevidad y Envejecimiento Saludable) is a nationally representative longitudinal survey of health and lifecourse experiences of 2,827 Costa Ricans ages 60 and over in 2005, the baseline collection. CRELES-2 refers to the second wave of visits in this longitudinal study, and includes the results from these visits. The first wave of interviews, or baseline, of CRELES is also available at http://doi.org/10.3886/ICPSR26681. The second wave fieldwork was conducted from October 2006 to July 2008, with 2,364 surviving and contacted participants. The original sample was drawn from Costa Rican residents in the 2000 population census who were born in 1945 or before, with an over-sample of the oldest-old (ages 95 and over). Vital statistics indicate that Costa Rica has an unusually high life expectancy for a middle-income country, even higher than that of the United States, but CRELES is the first nationally representative survey to investigate adult health levels in Costa Rica. CRELES public use data files contain information on a broad range of topics including self-reported physical health, psychological health, living conditions, health behaviors, health care utilization, social support, and socioeconomic status. Objective health indicators include anthropometrics, observed mobility, and biomarkers from fasting blood samples (such as cholesterol, glycosylated hemoglobin, and C-reactive protein). Mortality events are tracked and conditions surrounding death are measured in a surviving family interview.

The English Longitudinal Study of Ageing is a study of aging and quality of life for people over the age of 50. Established in 2002, the original sample was drawn from households that had previously responded to the Health Survey for England (HSE) between 1998 and 2001. The same group of respondents are surveyed every two years to see how their health, economic, and social circumstances may change over time. One of the study's aims is to determine the relationships between functioning and health, social networks, resources, and economic position as people plan for, move into, and progress beyond retirement. It is patterned after the Health and Retirement Study, a similar study based in the United States.

Although new topics can be introduced at different waves, every module has been reviewed to ensure that it will provide data that can measure change over time. This is achieved by repeating some measures exactly, by asking directly about change, and by adopting questions to allow people to update or amend past responses.

The information collected provides data about: Household and individual demographics; Health - physical and psychosocial; Social care (from Wave 6); Work and pensions; Income and assets; Housing; Cognitive function; Social participation; Effort and Reward (voluntary work and caring); Expectations; Walking speed; Weight.

The Guatemalan Survey of Family Health (EGSF) was undertaken to investigate the health of children under the age of five and women during pregnancy and childbirth residing in 60 communities within the departments (geopolitical units) of Chimaltenango, Suchitepequez, Totonicapan, and Jalapa in Guatemala. Data were collected at the household, individual, and community levels to gain an in-depth understanding of the way residents in these rural populations think about their health, treatment, and family relations.

Data at the household level (Parts 1-5, 90-92) provide information on household members, relation to household head, age, education, and language used.

The individual-level data (Parts 6-37) describe the respondent's background, marital/relationship history, social ties and social support, and economic status, along with health beliefs, a complete birth history, knowledge and use of contraception, health problems and treatment during the last two pregnancies, and anthropometry on mothers and children. Extensive data were gathered regarding the health problems and treatment for each of the two youngest children born since January 1990, with particular focus on diarrhea and respiratory infections.

The community data (Parts 41-60) supply information gathered from three knowledgeable individuals called "key informants" about occupations in the community, crops grown, wages, utilities and community services, and the history of the community. Parts 61-89 contain information regarding Health Posts (health care centers) through interviews conducted with key informants, doctors (Parts 72-80), and other health service providers (Parts 81-89), including traditional providers such as curers, midwives, and bone setters, regarding their practices, patients, referrals, fees, payment, and the use of specific treatments.

The Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) study is a population-based survey that aims to examine and characterize a population of older men and women in rural South Africa with respect to health, physical and cognitive function, aging, and well-being, in harmonization with other Health and Retirement Studies.

The baseline survey was conducted among 5,059 men and women aged 40 years or older, who were sampled from within the existing framework of the Agincourt health and socio-demographic surveillance system (AHDSS), in rural Mpumalanga province, South Africa. Survey data were collected on cognitive and physical functioning, social networks, cardiometabolic disease and risk factors, HIV and HIV risk, and economic well-being. The survey also included anthropometric measures and point-of-care blood tests for hemoglobin, glucose and lipids. Dried bloodspots (DBS) were collected at the survey and later tested for HIV, HIV viral load, glucose and CRP. A sub-sample had more extensive laboratory follow-up testing, which will be available in future data releases. A second wave of the survey was administered in 2018 through 2019, and a third wave of the survey was administered in 2021 through 2022.

Demographic information includes age, sex, income, education, marital status, number of children, and employment.

Harvard dataverse hosts an additional restricted-use dataset which compliments this collection, the HAALSI Baseline HIV Biomarker Data; users interested in obtaining these data must request access based on the terms outlined in the data use agreement.

This release of the 1993 Indonesian Family Life Survey (IFLS-1-PR) is a revised and restructured version of the Wave 1 data. This data collection provides a broad range of economic, demographic, and health information at both the household and community levels across 13 provinces on the islands of Java, Sumatra, Bali, West Nusa Tenggara, Kalimantan, and Sulawesi. A sample of 7,224 households was interviewed during August 1993 through January 1994. Household-level data cover topics such as household characteristics, income, education of both adults and children, marriage histories, inter-household transfers, pregnancy history, and knowledge and use of contraceptives. At the community-facility level, information was gathered from village leaders and heads of village women's groups in each of the 321 enumeration areas (EAs) where the households were located. Questions were asked regarding community characteristics (transportation, water and sanitation, history of schools, and availability of health facilities), nurses, midwives, and paramedics (facility management and family planning history, vignettes on types of care), and traditional health practitioners (buying or making herbal medicines or using services of traditional practitioners, rituals, and incantations). When the household data are combined with the community-facility data, the 1993 Indonesian Family Life Survey provides a unique look at areas of fertility, family planning, infant and child health, education, migration, employment, and the social, economic, and health status of over 7,000 households in a diverse setting during a period of rapid demographic and socioeconomic change.

As of June 2015, there are four waves of data for the IFLS. However, a fifth wave of data collection has begun. Please see the IFLS Web site for more information on how to obtain these data.