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The Annual Health Survey (AHS), conducted by the Government of India between July 2010 and May 2013, investigates maternal and child health in nine states: Assam, Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Orissa, Rajasthan, Uttarakhand, and Uttar Pradesh. These states constitute about 70 percent of neonatal deaths in India and about one-in-five neonatal deaths globally. The AHS consists of a three-round panel that interviewed over 4 million households in each round, as well as a one-time Clinical, Anthropometric, and Bio-Chemical Survey (CAB). The data were originally released to the public in 2015 as a set of 45 .csv files. The .csv files are included in a restricted-use zipped package as part of the ICPSR release (see dataset 21).

The survey focused on topics such as household composition, caste, fertility, family planning, pre- and post-natal care, breastfeeding, infant mortality, illness, disease, disability, and health care practices. Demographic information includes sex, age, education, occupation, marital status, household size, and religion. The CAB files contain biometric data including but not limited to height, weight, blood pressure, hemoglobin, pulse, and blood glucose.

Potential data users should note that the public-use and restricted-use versions of the datasets are the same except for the masking of day component variables for certain dates in the public-use versions of the files (please see the Description of Variables section for full details). Therefore, only researchers with a limited set of research questions that require full birth, marriage, and death dates will need to apply for the restricted-use versions of the data files.

Additionally, because the final data files are very large and potentially very time consuming to analyze on personal computers, researchers have the option to download ten-percent samples of each file (see datasets 3, 4, 7, 8, 11, 12, 15, 16, 19, and 20). These samples contain the same variables as the original files but only ten percent of the records. The samples were determined by taking a randomly selected ten percent of households in each district. P.I. codebooks were not produced for these samples. Please note that the ten-percent samples for each dataset were selected independently, so it is not advised to merge across datasets within the AHS using these samples, as the match rates will be very low.

The Consumer Pyramids is the largest survey of households in India. The survey contains record-level data that are delivered in the form of population estimates. The survey contains multiple databases that contain population estimates on household demographics, household income and expenses, borrowing by household, and household assets. The data also contain individual-level health status, financial inclusion, education level, and caste and literacy estimates. Demographic information collected include gender, age, religion, education, and occupation.

Database Composition: The Consumer Pyramids Survey is conducted over the course of four-month periods or waves throughout the year totaling three rounds a year. This collection includes the following six databases: People of India; Household Income and Expenses; Household Amenities, Assets, and Liabilities; Household Expenses; Composition of Incomes at the member level; Composition of Incomes at the household level.

A Data Guide for this study is available as a web page and for download. The India Human Development Survey 2005 (IHDS) is a nationally representative, multi-topic survey of 41,554 households in 1,503 villages and 971 urban neighborhoods across India. Two one-hour interviews in each household covered topics concerning health, education, employment, economic status, marriage, fertility, gender relations, and social capital. Children aged 8-11 completed short reading, writing and arithmetic tests. Additional village, school, and medical facility interviews are also available.

A Data Guide for this study is available as a web page and for download. The India Human Development Survey-II (IHDS-II), 2011-12 is a nationally representative, multi-topic survey of 42,152 households in 1,503 villages and 971 urban neighborhoods across India. These data are mostly re-interviews of households interviewed for IHDS-I (ICPSR 22626) in 2004-05. Two one-hour interviews in each household covered topics concerning health, education, employment, economic status, marriage, fertility, gender relations, social capital, village infrastructure, wage levels, and panchayat composition. Children aged 8-11 completed short reading, writing and arithmetic tests.

The IHDS-II data are assembled in fourteen datasets:

1. Individual
2. Household
3. Eligible Women
4. Birth History
5. Medical Staff
6. Medical Facilities
7. Non Resident
8. School Staff
9. School Facilities
10. Wage and Salary
11. Tracking
12. Village
13. Village Panchayat
14. Village Respondent

The India Human Development Survey (IHDS) is a nationally representative, multi-topic survey of 42,152 households in 1,503 villages and 971 urban neighborhoods across India. Data were originally collected from households during 2004-2005. Interviewers returned in 2011-2012 to re-interview these same households. During both waves of data collection, two one-hour interviews were conducted covering a large range of topics. The goal of the IHDS program is to document changes in the daily lives of Indian households in a society undergoing rapid transition.

This particular data collection merges the two waves of IHDS (known as IHDS and IHDS-II) into a harmonized pattern from the perspective view points of individuals, households, and eligible women. The data are presented in three different data formats: cross-sectional, wide, and long to facilitate a broader range of analysis options. Due to the specificity of geography and inclusion of sensitive / identifying topics there is a public-use and restricted-use rendition for each of the nine data files.

The Research on Early Life and Aging Trends and Effects (RELATE) study compiles cross-national data that contain information that can be used to examine the effects of early life conditions on older adult health conditions, including heart disease, diabetes, obesity, functionality, mortality, and self-reported health. The complete cross sectional/longitudinal dataset (n=147,278) was compiled from major studies of older adults or households across the world that in most instances are representative of the older adult population either nationally, in major urban centers, or in provinces. It includes over 180 variables with information on demographic and geographic variables along with information about early life conditions and life course events for older adults in low, middle and high income countries. Selected variables were harmonized to facilitate cross national comparisons.

In this first public release of the RELATE data, a subset of the data (n=88,273) is being released. The subset includes harmonized data of older adults from the following regions of the world: Africa (Ghana and South Africa), Asia (China, India), Latin America (Costa Rica, major cities in Latin America), and the United States (Puerto Rico, Wisconsin). This first release of the data collection is composed of 19 downloadable parts: Part 1 includes the harmonized cross-national RELATE dataset, which harmonizes data from parts 2 through 19. Specifically, parts 2 through 19 include data from Costa Rica (Part 2), Puerto Rico (Part 3), the United States (Wisconsin) (Part 4), Argentina (Part 5), Barbados (Part 6), Brazil (Part 7), Chile (Part 8), Cuba (Part 9), Mexico (Parts 10 and 15), Uruguay (Part 11), China (Parts 12, 18, and 19), Ghana (Part 13), India (Part 14), Russia (Part 16), and South Africa (Part 17).

The Health and Retirement Study (HRS) was also used in the compilation of the larger RELATE data set (HRS) (N=12,527), and these data are now available for public release on the HRS data products page. To access the HRS data that are part of the RELATE data set, please see the collection notes below.