49 datasets found
  1. DHS - India

    • iatiregistry.org
    iati-xml
    Updated Jun 16, 2025
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    United States Department of Homeland Security (2025). DHS - India [Dataset]. https://iatiregistry.org/dataset/dhs-india
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    iati-xml(36742)Available download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    India
    Description

    DHS - India

  2. National Family Health Survey (NFHS)

    • redivis.com
    application/jsonl +7
    Updated Feb 21, 2020
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    Stanford Center for Population Health Sciences (2020). National Family Health Survey (NFHS) [Dataset]. http://doi.org/10.57761/jvsd-x060
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    parquet, application/jsonl, avro, sas, arrow, stata, spss, csvAvailable download formats
    Dataset updated
    Feb 21, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Description

    Abstract

    The National Family Health Survey (NFHS) is a large-scale, multi-round survey conducted in a representative sample of households throughout India. Four rounds of the survey have been conducted in 1992-93, 1998-99, 2005-06, and 2015-16. The fifth round of the survey (2019-2020) is currently in the field. All of the surveys are part of the Demographic and Health Surveys (DHS) Program. The surveys provide information on population, health, and nutrition at the national and state level. Since 2015-16, the surveys have also provided information at the district level. Some of the major topics included in NFHS-4 (2015-16) are fertility, infant and child mortality, family planning, maternal and reproductive health, child vaccinations, prevalence and treatment of childhood diseases, nutrition, women’s empowerment, domestic violence, marriage, sexual activity, employment, anemia, anthropometry, HIV/AIDS knowledge and testing, tobacco and alcohol use, biomarker tests (anthropometry, anemia, HIV, blood pressure, and blood glucose), and water, sanitation, and hygiene. The primary objective of the NFHS surveys is to provide essential data on health and family welfare, as well as emerging issues in these areas. The information collected through the NFHS surveys is intended to assist policymakers and program managers in setting benchmarks and examining progress over time in India’s health sector. The Ministry of Health and Family Welfare (MOHFW), Government of India, designated the International Institute for Population Sciences (IIPS), Mumbai, as the agency responsible for providing coordination and technical guidance for all of the surveys. IIPS has collaborated with a large number of field agencies for survey implementation. The Demographic and Health Surveys Program has provided technical assistance for all of the surveys.

    Documentation

    You can access the data through the DHS website. Data files are available in the following five formats:

    • Hierarchical CSPro file
    • Flat files: ASCII data with syntax, Stata, SPSS, SAS

    %3C!-- --%3E

    All datasets are distributed in archived ZIP files that include the data file and its associated documentation. The DHS Program is authorized to distribute, at no cost, unrestricted survey data files for legitimate academic research. Registration is required to access the data.

    Additional information about the surveys is available on the India page on the DHS Program website. This page provides a list of surveys and reports, plus Country Quickstats for India, and it is the gateway to accessing more information about the India surveys and datasets.

    Methodology

    2015-16 National Family Health Survey (NFHS-4): Fieldwork for NFHS-4 was conducted in two phases, from January 2015 to December 2016. The fieldwork was conducted by 14 field agencies, including three Population Research Centers. Laboratory testing for HIV was done by seven laboratories throughout India. NFHS-4 collected information from a nationally representative sample of 601,509 households, 699,686 women age 15-49, and 112,122 men age 15-54. The survey covered all 29 states, 7 Union Territories, and 640 districts in India.

    Funding for the survey was provided by the Ministry of Health and Family Welfare, Government of India; the United States Agency for International Development (USAID); UKAID/DFID; the Bill & Melinda Gates Foundation; UNICEF; the United Nations Population Fund (UNFPA); and the MacArthur Foundation. Technical Assistance for NFHS-4 was provided by Macro International, Maryland, USA.

    2005-06 National Family Health Survey (NFHS-3): Fieldwork for NFHS-3 was conducted in two phases, from November 2005 to August 2006. The fieldwork was conducted by 18 field agencies, including six Population Research Centers. Laboratory testing for HIV was done by the SRL Ranbaxy laboratory in Mumbai. NFHS-3 collected information from a nationally representative sample of 109,041 households, 124,385 women age 15-49, and 74,369 men age 15-54. The survey covered all 29 states. Only the Union Territories were not included.

    Funding for the survey was provided by the United States Agency for International Development (USAID); United Kingdom Department for International Development (DFID); the Bill & Melinda Gates Foundation; UNICEF; the United Nations Population Fund (UNFPA); and the Government of India. Technical assistance for NFHS-3 was provided by Macro International, Maryland, USA.

    1998-99 National Family Health Survey (NFHS-2): Fieldwork for NFHS-2 was conducted in two phases, from November 1998 to December 1999. The fieldwork was conducted by 13 field agencies, including five Population Research Centers. NFHS-2 collected information from a nationally representative sample of 91,196 households and 89,188 ever-married women age 15-49. Male interviews were not included in the survey. The survey cover

  3. w

    National Family Survey 2019-2021 - India

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated May 12, 2022
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    International Institute for Population Sciences (IIPS) (2022). National Family Survey 2019-2021 - India [Dataset]. https://microdata.worldbank.org/index.php/catalog/4482
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    Dataset updated
    May 12, 2022
    Dataset provided by
    Ministry of Health and Family Welfare (MoHFW)
    International Institute for Population Sciences (IIPS)
    Time period covered
    2019 - 2021
    Area covered
    India
    Description

    Abstract

    The National Family Health Survey 2019-21 (NFHS-5), the fifth in the NFHS series, provides information on population, health, and nutrition for India, each state/union territory (UT), and for 707 districts.

    The primary objective of the 2019-21 round of National Family Health Surveys is to provide essential data on health and family welfare, as well as data on emerging issues in these areas, such as levels of fertility, infant and child mortality, maternal and child health, and other health and family welfare indicators by background characteristics at the national and state levels. Similar to NFHS-4, NFHS-5 also provides information on several emerging issues including perinatal mortality, high-risk sexual behaviour, safe injections, tuberculosis, noncommunicable diseases, and the use of emergency contraception.

    The information collected through NFHS-5 is intended to assist policymakers and programme managers in setting benchmarks and examining progress over time in India’s health sector. Besides providing evidence on the effectiveness of ongoing programmes, NFHS-5 data will help to identify the need for new programmes in specific health areas.

    The clinical, anthropometric, and biochemical (CAB) component of NFHS-5 is designed to provide vital estimates of the prevalence of malnutrition, anaemia, hypertension, high blood glucose levels, and waist and hip circumference, Vitamin D3, HbA1c, and malaria parasites through a series of biomarker tests and measurements.

    Geographic coverage

    National coverage

    Analysis unit

    • Household
    • Individual
    • Children age 0-5
    • Woman age 15-49
    • Man age 15 to 54

    Universe

    The survey covered all de jure household members (usual residents), all women aged 15-49, all men age 15-54, and all children aged 0-5 resident in the household.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A uniform sample design, which is representative at the national, state/union territory, and district level, was adopted in each round of the survey. Each district is stratified into urban and rural areas. Each rural stratum is sub-stratified into smaller substrata which are created considering the village population and the percentage of the population belonging to scheduled castes and scheduled tribes (SC/ST). Within each explicit rural sampling stratum, a sample of villages was selected as Primary Sampling Units (PSUs); before the PSU selection, PSUs were sorted according to the literacy rate of women age 6+ years. Within each urban sampling stratum, a sample of Census Enumeration Blocks (CEBs) was selected as PSUs. Before the PSU selection, PSUs were sorted according to the percentage of SC/ST population. In the second stage of selection, a fixed number of 22 households per cluster was selected with an equal probability systematic selection from a newly created list of households in the selected PSUs. The list of households was created as a result of the mapping and household listing operation conducted in each selected PSU before the household selection in the second stage. In all, 30,456 Primary Sampling Units (PSUs) were selected across the country in NFHS-5 drawn from 707 districts as on March 31st 2017, of which fieldwork was completed in 30,198 PSUs.

    For further details on sample design, see Section 1.2 of the final report.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    Four survey schedules/questionnaires: Household, Woman, Man, and Biomarker were canvassed in 18 local languages using Computer Assisted Personal Interviewing (CAPI).

    Cleaning operations

    Electronic data collected in the 2019-21 National Family Health Survey were received on a daily basis via the SyncCloud system at the International Institute for Population Sciences, where the data were stored on a password-protected computer. Secondary editing of the data, which required resolution of computer-identified inconsistencies and coding of open-ended questions, was conducted in the field by the Field Agencies and at the Field Agencies central office, and IIPS checked the secondary edits before the dataset was finalized.

    Field-check tables were produced by IIPS and the Field Agencies on a regular basis to identify certain types of errors that might have occurred in eliciting information and recording question responses. Information from the field-check tables on the performance of each fieldwork team and individual investigator was promptly shared with the Field Agencies during the fieldwork so that the performance of the teams could be improved, if required.

    Response rate

    A total of 664,972 households were selected for the sample, of which 653,144 were occupied. Among the occupied households, 636,699 were successfully interviewed, for a response rate of 98 percent.

    In the interviewed households, 747,176 eligible women age 15-49 were identified for individual women’s interviews. Interviews were completed with 724,115 women, for a response rate of 97 percent. In all, there were 111,179 eligible men age 15-54 in households selected for the state module. Interviews were completed with 101,839 men, for a response rate of 92 percent.

  4. w

    National Family Health Survey 2005-2006 - India

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +2more
    Updated Jun 16, 2017
    + more versions
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    International Institute for Population Sciences (IIPS) (2017). National Family Health Survey 2005-2006 - India [Dataset]. https://microdata.worldbank.org/index.php/catalog/1406
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    Dataset updated
    Jun 16, 2017
    Dataset authored and provided by
    International Institute for Population Sciences (IIPS)
    Time period covered
    2005 - 2006
    Area covered
    India
    Description

    Abstract

    The National Family Health Surveys (NFHS) programme, initiated in the early 1990s, has emerged as a nationally important source of data on population, health, and nutrition for India and its states. The 2005-06 National Family Health Survey (NFHS-3), the third in the series of these national surveys, was preceded by NFHS-1 in 1992-93 and NFHS-2 in 1998-99. Like NFHS-1 and NFHS-2, NFHS-3 was designed to provide estimates of important indicators on family welfare, maternal and child health, and nutrition. In addition, NFHS-3 provides information on several new and emerging issues, including family life education, safe injections, perinatal mortality, adolescent reproductive health, high-risk sexual behaviour, tuberculosis, and malaria. Further, unlike the earlier surveys in which only ever-married women age 15-49 were eligible for individual interviews, NFHS-3 interviewed all women age 15-49 and all men age 15-54. Information on nutritional status, including the prevalence of anaemia, is provided in NFHS3 for women age 15-49, men age 15-54, and young children.

    A special feature of NFHS-3 is the inclusion of testing of the adult population for HIV. NFHS-3 is the first nationwide community-based survey in India to provide an estimate of HIV prevalence in the general population. Specifically, NFHS-3 provides estimates of HIV prevalence among women age 15-49 and men age 15-54 for all of India, and separately for Uttar Pradesh and for Andhra Pradesh, Karnataka, Maharashtra, Manipur, and Tamil Nadu, five out of the six states classified by the National AIDS Control Organization (NACO) as high HIV prevalence states. No estimate of HIV prevalence is being provided for Nagaland, the sixth high HIV prevalence state, due to strong local opposition to the collection of blood samples.

    NFHS-3 covered all 29 states in India, which comprise more than 99 percent of India's population. NFHS-3 is designed to provide estimates of key indicators for India as a whole and, with the exception of HIV prevalence, for all 29 states by urban-rural residence. Additionally, NFHS-3 provides estimates for the slum and non-slum populations of eight cities, namely Chennai, Delhi, Hyderabad, Indore, Kolkata, Meerut, Mumbai, and Nagpur. NFHS-3 was conducted under the stewardship of the Ministry of Health and Family Welfare (MOHFW), Government of India, and is the result of the collaborative efforts of a large number of organizations. The International Institute for Population Sciences (IIPS), Mumbai, was designated by MOHFW as the nodal agency for the project. Funding for NFHS-3 was provided by the United States Agency for International Development (USAID), DFID, the Bill and Melinda Gates Foundation, UNICEF, UNFPA, and MOHFW. Macro International, USA, provided technical assistance at all stages of the NFHS-3 project. NACO and the National AIDS Research Institute (NARI) provided technical assistance for the HIV component of NFHS-3. Eighteen Research Organizations, including six Population Research Centres, shouldered the responsibility of conducting the survey in the different states of India and producing electronic data files.

    The survey used a uniform sample design, questionnaires (translated into 18 Indian languages), field procedures, and procedures for biomarker measurements throughout the country to facilitate comparability across the states and to ensure the highest possible data quality. The contents of the questionnaires were decided through an extensive collaborative process in early 2005. Based on provisional data, two national-level fact sheets and 29 state fact sheets that provide estimates of more than 50 key indicators of population, health, family welfare, and nutrition have already been released. The basic objective of releasing fact sheets within a very short period after the completion of data collection was to provide immediate feedback to planners and programme managers on key process indicators.

    Geographic coverage

    • National (29 states )
    • Regional (for HIV Prevalence : Andhra Pradesh, Karnataka, Maharashtra, Manipur, and Tamil Nadu)
    • Local (population and health indicators for slum and non-slum populations for eight cities, namely Chennai, Delhi, Hyderabad, Indore, Kolkata, Meerut, Mumbai, and Nagpur)

    Analysis unit

    • Household
    • Women age 15-49
    • Men age 15-59

    Universe

    The population covered by the 2005 DHS is defined as the universe of all ever-married women age 15-49, NFHS-3 included never married women age 15-49 and both ever-married and never married men age 15-54 as eligible respondents.

    Kind of data

    Sample survey data

    Sampling procedure

    SAMPLE SIZE

    Since a large number of the key indicators to be estimated from NFHS-3 refer to ever-married women in the reproductive ages of 15-49, the target sample size for each state in NFHS-3 was estimated in terms of the number of ever-married women in the reproductive ages to be interviewed.

    The initial target sample size was 4,000 completed interviews with ever-married women in states with a 2001 population of more than 30 million, 3,000 completed interviews with ever-married women in states with a 2001 population between 5 and 30 million, and 1,500 completed interviews with ever-married women in states with a population of less than 5 million. In addition, because of sample-size adjustments required to meet the need for HIV prevalence estimates for the high HIV prevalence states and Uttar Pradesh and for slum and non-slum estimates in eight selected cities, the sample size in some states was higher than that fixed by the above criteria. The target sample was increased for Andhra Pradesh, Karnataka, Maharashtra, Manipur, Nagaland, Tamil Nadu, and Uttar Pradesh to permit the calculation of reliable HIV prevalence estimates for each of these states. The sample size in Andhra Pradesh, Delhi, Maharashtra, Tamil Nadu, Madhya Pradesh, and West Bengal was increased to allow separate estimates for slum and non-slum populations in the cities of Chennai, Delhi, Hyderabad, Indore, Kolkata, Mumbai, Meerut, and Nagpur.

    The target sample size for HIV tests was estimated on the basis of the assumed HIV prevalence rate, the design effect of the sample, and the acceptable level of precision. With an assumed level of HIV prevalence of 1.25 percent and a 15 percent relative standard error, the estimated sample size was 6,400 HIV tests each for men and women in each of the high HIV prevalence states. At the national level, the assumed level of HIV prevalence of less than 1 percent (0.92 percent) and less than a 5 percent relative standard error yielded a target of 125,000 HIV tests at the national level.

    Blood was collected for HIV testing from all consenting ever-married and never married women age 15-49 and men age 15-54 in all sample households in Andhra Pradesh, Karnataka, Maharashtra, Manipur, Tamil Nadu, and Uttar Pradesh. All women age 15-49 and men age 15-54 in the sample households were eligible for interviewing in all of these states plus Nagaland. In the remaining 22 states, all ever-married and never married women age 15-49 in sample households were eligible to be interviewed. In those 22 states, men age 15-54 were eligible to be interviewed in only a subsample of households. HIV tests for women and men were carried out in only a subsample of the households that were selected for men's interviews in those 22 states. The reason for this sample design is that the required number of HIV tests is determined by the need to calculate HIV prevalence at the national level and for some states, whereas the number of individual interviews is determined by the need to provide state level estimates for attitudinal and behavioural indicators in every state. For statistical reasons, it is not possible to estimate HIV prevalence in every state from NFHS-3 as the number of tests required for estimating HIV prevalence reliably in low HIV prevalence states would have been very large.

    SAMPLE DESIGN

    The urban and rural samples within each state were drawn separately and, to the extent possible, unless oversampling was required to permit separate estimates for urban slum and non-slum areas, the sample within each state was allocated proportionally to the size of the state's urban and rural populations. A uniform sample design was adopted in all states. In each state, the rural sample was selected in two stages, with the selection of Primary Sampling Units (PSUs), which are villages, with probability proportional to population size (PPS) at the first stage, followed by the random selection of households within each PSU in the second stage. In urban areas, a three-stage procedure was followed. In the first stage, wards were selected with PPS sampling. In the next stage, one census enumeration block (CEB) was randomly selected from each sample ward. In the final stage, households were randomly selected within each selected CEB.

    SAMPLE SELECTION IN RURAL AREAS

    In rural areas, the 2001 Census list of villages served as the sampling frame. The list was stratified by a number of variables. The first level of stratification was geographic, with districts being subdivided into contiguous regions. Within each of these regions, villages were further stratified using selected variables from the following list: village size, percentage of males working in the nonagricultural sector, percentage of the population belonging to scheduled castes or scheduled tribes, and female literacy. In addition to these variables, an external estimate of HIV prevalence, i.e., 'High', 'Medium' or 'Low', as estimated for all the districts in high HIV prevalence states, was used for stratification in high HIV prevalence states. Female literacy was used for implicit stratification (i.e., villages were

  5. H

    India - Subnational Demographic and Health Data

    • data.humdata.org
    csv
    Updated Mar 20, 2020
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    The DHS Program (2020). India - Subnational Demographic and Health Data [Dataset]. https://data.humdata.org/dataset/dhs-subnational-data-for-india
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    csv(641995), csv(402047), csv(1015982), csv(292803), csv(905452), csv(374938), csv(376306), csv(53435), csv(133218), csv(198011), csv(730983), csv(148150), csv(233934), csv(142822), csv(380698), csv(79433), csv(315038), csv(211740), csv(900563), csv(424510), csv(374485), csv(302843), csv(939613), csv(105383), csv(79513), csv(438775), csv(241665), csv(464662), csv(95965), csv(215746), csv(346190), csv(152380), csv(126549), csv(189366), csv(1046679), csv(108415), csv(139202), csv(486627), csv(569447), csv(472707), csv(925476)Available download formats
    Dataset updated
    Mar 20, 2020
    Dataset provided by
    The DHS Program
    Description

    Contains data from the DHS data portal. There is also a dataset containing India - National Demographic and Health Data on HDX.

    The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.

  6. National Family Health Survey India, 1992-1993 : India Demographic and...

    • archive.ciser.cornell.edu
    Updated Jan 1, 2020
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    Ministry of Health and Family Welfare (2020). National Family Health Survey India, 1992-1993 : India Demographic and Health Survey (DHS) [Dataset]. https://archive.ciser.cornell.edu/studies/1311
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    Dataset updated
    Jan 1, 2020
    Dataset provided by
    Ministry of Health and Family Welfare, Government of Indiahttps://www.mohfw.gov.in/
    Authors
    Ministry of Health and Family Welfare
    Area covered
    India
    Description

    This survey was conducted in India by the International Institute for Population Sciences (IIPS). 89,777 ever married women between the ages of 19 - 49 were interviewed from April 1992 - September 1993. Major topics covered:Abortion; Anthropometry; Causes of Death; HIV Knowledge; Maternal Mortality; Micronutrients; Service Availability; Tuberculosis Questions; Vitamin A Questions

    Data access requires registration with USAID. USAID now makes this data available directly on their website, which can be accessed here: https://dhsprogram.com/methodology/survey/survey-display-50.cfm - along with additional years of data here: https://dhsprogram.com/data/available-datasets.cfm

    We advise you use this location to access the data as they have updated formats, etc. This material remains in the archive for preservation and historical purposes.

  7. i

    National Family Health Survey 1992-1993 - India

    • catalog.ihsn.org
    • dev.ihsn.org
    • +1more
    Updated Jul 6, 2017
    + more versions
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    International Institute for Population Sciences (IIPS) (2017). National Family Health Survey 1992-1993 - India [Dataset]. https://catalog.ihsn.org/catalog/2547
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    Dataset updated
    Jul 6, 2017
    Dataset authored and provided by
    International Institute for Population Sciences (IIPS)
    Time period covered
    1992 - 1993
    Area covered
    India
    Description

    Abstract

    The National Family Health Survey (NFHS) was carried out as the principal activity of a collaborative project to strengthen the research capabilities of the Population Reasearch Centres (PRCs) in India, initiated by the Ministry of Health and Family Welfare (MOHFW), Government of India, and coordinated by the International Institute for Population Sciences (IIPS), Bombay. Interviews were conducted with a nationally representative sample of 89,777 ever-married women in the age group 13-49, from 24 states and the National Capital Territoty of Delhi. The main objective of the survey was to collect reliable and up-to-date information on fertility, family planning, mortality, and maternal and child health. Data collection was carried out in three phases from April 1992 to September 1993. THe NFHS is one of the most complete surveys of its kind ever conducted in India.

    The households covered in the survey included 500,492 residents. The young age structure of the population highlights the momentum of the future population growth of the country; 38 percent of household residents are under age 15, with their reproductive years still in the future. Persons age 60 or older constitute 8 percent of the population. The population sex ratio of the de jure residents is 944 females per 1,000 males, which is slightly higher than sex ratio of 927 observed in the 1991 Census.

    The primary objective of the NFHS is to provide national-level and state-level data on fertility, nuptiality, family size preferences, knowledge and practice of family planning, the potentiel demand for contraception, the level of unwanted fertility, utilization of antenatal services, breastfeeding and food supplemation practises, child nutrition and health, immunizations, and infant and child mortality. The NFHS is also designed to explore the demographic and socioeconomic determinants of fertility, family planning, and maternal and child health. This information is intended to assist policymakers, adminitrators and researchers in assessing and evaluating population and family welfare programmes and strategies. The NFHS used uniform questionnaires and uniform methods of sampling, data collection and analysis with the primary objective of providing a source of demographic and health data for interstate comparisons. The data collected in the NFHS are also comparable with those of the Demographic and Health Surveys (DHS) conducted in many other countries.

    Geographic coverage

    National

    Analysis unit

    • Household
    • Data collected for women 13-49, indicators calculated for women 15-49

    Universe

    The population covered by the 1992-93 DHS is defined as the universe of all women age 13-49 who were either permanent residents of the households in the NDHS sample or visitors present in the households on the night before the survey were eligible to be interviewed.

    Kind of data

    Sample survey data

    Sampling procedure

    SAMPLE DESIGN

    The sample design for the NFHS was discussed during a Sample Design Workshop held in Madurai in Octber, 1991. The workshop was attended by representative from the PRCs; the COs; the Office of the Registrar General, India; IIPS and the East-West Center/Macro International. A uniform sample design was adopted in all the NFHS states. The Sample design adopted in each state is a systematic, stratified sample of households, with two stages in rural areas and three stages in urban areas.

    SAMPLE SIZE AND ALLOCATION

    The sample size for each state was specified in terms of a target number of completed interviews with eligible women. The target sample size was set considering the size of the state, the time and ressources available for the survey and the need for separate estimates for urban and rural areas of the stat. The initial target sample size was 3,000 completed interviews with eligible women for states having a population of 25 million or less in 1991; 4,000 completed interviews for large states with more than 25 million population; 8,000 for Uttar Pradesh, the largest state; and 1,000 each for the six small northeastern states. In States with a substantial number of backward districts, the initial target samples were increased so as to allow separate estimates to be made for groups of backward districts.

    The urban and rural samples within states were drawn separetly and , to the extent possible, sample allocation was proportional to the size of the urban-rural populations (to facilitate the selection of a self-weighting sample for each state). In states where the urban population was not sufficiently large to provide a sample of at least 1,000 completed interviews with eligible women, the urban areas were appropriately oversampled (except in the six small northeastern states).

    THE RURAL SAMPLE: THE FRAME, STRATIFICATION AND SELECTION

    A two-stage stratified sampling was adopted for the rural areas: selection of villages followed by selection of households. Because the 1991 Census data were not available at the time of sample selection in most states, the 1981 Census list of villages served as the sampling frame in all the states with the exception of Assam, Delhi and Punjab. In these three states the 1991 Census data were used as the sampling frame.

    Villages were stratified prior to selection on the basis of a number of variables. The firts level of stratification in all the states was geographic, with districts subdivided into regions according to their geophysical characteristics. Within each of these regions, villages were further stratified using some of the following variables : village size, distance from the nearest town, proportion of nonagricultural workers, proportion of the population belonging to scheduled castes/scheduled tribes, and female literacy. However, not all variables were used in every state. Each state was examined individually and two or three variables were selected for stratification, with the aim of creating not more than 12 strata for small states and not more than 15 strata for large states. Females literacy was often used for implicit stratification (i.e., the villages were ordered prior to selection according to the proportion of females who were literate). Primary sampling Units (PSUs) were selected systematically, with probaility proportional to size (PPS). In some cases, adjacent villages with small population sizes were combined into a single PSU for the purpose of sample selection. On average, 30 households were selected for interviewing in each selected PSU.

    In every state, all the households in the selected PSUs were listed about two weeks prior to the survey. This listing provided the necessary frame for selecting households at the second sampling stage. The household listing operation consisted of preparing up-to-date notional and layout sketch maps of each selected PSU, assigning numbers to structures, recording addresses (or locations) of these structures, identifying the residential structures, and listing the names of the heads of all the households in the residentiak structures in the selected PSU. Each household listing team consisted of a lister and a mapper. The listing operation was supervised by the senior field staff of the concerned CO and the PRC in each state. Special efforts were made not to miss any household in the selected PSU during the listing operation. In PSUs with fewer than 500 households, a complete household listing was done. In PSUs with 500 or more households, segmentation of the PSU was done on the basis of existing wards in the PSU, and two segments were selected using either systematic sampling or PPS sampling. The household listing in such PSUs was carried out in the selected segments. The households to be interviewed were selected from provided with the original household listing, layout sketch map and the household sample selected for each PSU. All the selected households were approached during the data collection, and no substitution of a household was allowed under any circumstances.

    THE RURAL URBAN SAMPLE: THE FRAME, STRATIFICATION AND SELECTION

    A three-stage sample design was adopted for the urban areas in each state: selection of cities/towns, followed by urban blocks, and finally households. Cities and towns were selected using the 1991 population figures while urban blocks were selected using the 1991 list of census enumeration blocks in all the states with the exception of the firts phase states. For the first phase states, the list of urban blocks provided by the National Sample Survey Organization (NSSSO) served as the sampling frame.

    All cities and towns were subdivided into three strata: (1) self-selecting cities (i.e., cities with a population large enough to be selected with certainty), (2) towns that are district headquaters, and (3) other towns. Within each stratum, the cities/towns were arranged according to the same kind of geographic stratification used in the rural areas. In self-selecting cities, the sample was selected according to a two-stage sample design: selection of the required number of urban blocks, followed by selection of households in each of selected blocks. For district headquarters and other towns, a three stage sample design was used: selection of towns with PPS, followed by selection of two census blocks per selected town, followed by selection of households from each selected block. As in rural areas, a household listing was carried out in the selected blocks, and an average of 20 households per block was selected systematically.

    Mode of data collection

    Face-to-face

    Research instrument

    Three types of questionnaires were used in the NFHS: the Household Questionnaire, the Women's Questionnaire, and the Village Questionnaire. The overall content

  8. v

    Republic Of Korea import data of Dhs from India

    • volza.com
    csv
    Updated Jul 29, 2023
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    Volza.LLC (2023). Republic Of Korea import data of Dhs from India [Dataset]. https://www.volza.com/p/dhs/import/coo-india/cod-republic-of-korea/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 29, 2023
    Dataset provided by
    Volza.LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2014 - Sep 30, 2021
    Area covered
    South Korea, India
    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value
    Description

    0 Republic Of Korea import shipment records of Dhs from India with prices, volume & current Buyer’s suppliers relationships based on actual Republic Of Korea import trade database.

  9. i

    Demographic and Health Survey 2005-06 - IPUMS Subset - India

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Sep 19, 2018
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    International Institute for Population Sciences and Macro International. (2018). Demographic and Health Survey 2005-06 - IPUMS Subset - India [Dataset]. https://datacatalog.ihsn.org/catalog/7617
    Explore at:
    Dataset updated
    Sep 19, 2018
    Dataset provided by
    International Institute for Population Sciences and Macro International.
    Minnesota Population Center
    Time period covered
    2005 - 2006
    Area covered
    India
    Description

    Analysis unit

    Woman, Birth, Child, Birth, Man, Household Member

    Universe

    Women age 15-49, Births, Children age 0-4, Men age 15-54, All persons

    Kind of data

    Demographic and Household Survey [hh/dhs]

    Sampling procedure

    MICRODATA SOURCE: International Institute for Population Sciences and Macro International.

    SAMPLE UNIT: Woman SAMPLE SIZE: 124385

    SAMPLE UNIT: Birth SAMPLE SIZE: 256782

    SAMPLE UNIT: Child SAMPLE SIZE: 48595

    SAMPLE UNIT: Man SAMPLE SIZE: 74369

    SAMPLE UNIT: Member SAMPLE SIZE: 534161

    Mode of data collection

    Face-to-face [f2f]

  10. Global export data of Dhs

    • volza.com
    csv
    Updated Jun 27, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Dhs [Dataset]. https://www.volza.com/exports-india/india-export-data-of-dhs-to-morocco
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    442 Global export shipment records of Dhs with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  11. Dhs Plates Import Data India – Buyers & Importers List

    • seair.co.in
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    Seair Exim, Dhs Plates Import Data India – Buyers & Importers List [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States, India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  12. Dataset for "Public health insurance coverage in India before and after...

    • figshare.com
    bin
    Updated Aug 10, 2023
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    Sanjay K Mohanty; Ashish Kumar Upadhyay; Suraj Maiti; Radhe Shyam Mishra; Fabrice Kämpfen; Jürgen Maurer; Owen O'Donell (2023). Dataset for "Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey data" [Dataset]. http://doi.org/10.6084/m9.figshare.23919078.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    Aug 10, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Sanjay K Mohanty; Ashish Kumar Upadhyay; Suraj Maiti; Radhe Shyam Mishra; Fabrice Kämpfen; Jürgen Maurer; Owen O'Donell
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    India
    Description

    Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey dataThe National Family Health Survey (NFHS), India data is publicly available data set and can be accessed on request. It can be downloaded upon registration from the Demographic and Health Survey (DHS) website upon registration at The DHS Program - Request Access To Datasets. We have used data from the fourth and fifth round of NFHS, which can be accessed after registration from the link given here for NFHS 4 and NFHS 5 https://dhsprogram.com/data/dataset/India_Standard-DHS_2015.cfm?flag=0 and here https://dhsprogram.com/data/dataset/India_Standard-DHS_2020.cfm?flag=0 respectively. These datasets (HR file) have been used to obtain this combined dataset of a paper entitled "Public health insurance coverage in India before and after PM-JAY: repeated cross-sectional analysis of nationally representative survey data" submitted to BMJ Global Health August 2023.

  13. w

    [India] National Family Health Survey (NFHS-4) 2015-16 - IPUMS Subset -...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated May 14, 2020
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    International Institute for Population Sciences (IIPS) and ICF. (2020). [India] National Family Health Survey (NFHS-4) 2015-16 - IPUMS Subset - India [Dataset]. https://microdata.worldbank.org/index.php/catalog/3110
    Explore at:
    Dataset updated
    May 14, 2020
    Dataset provided by
    International Institute for Population Sciences (IIPS) and ICF.
    Minnesota Population Center
    Time period covered
    2015 - 2016
    Area covered
    India
    Description

    Analysis unit

    Woman, Birth, Child, Man, Member

    Universe

    Women age 15-49, Births, Children age 0-4, Men age 15-54, All persons

    Kind of data

    Demographic and Household Survey [hh/dhs]

    Sampling procedure

    MICRODATA SOURCE: International Institute for Population Sciences (IIPS) and ICF.

    SAMPLE UNIT: Woman SAMPLE SIZE: 699686

    SAMPLE UNIT: Birth SAMPLE SIZE: 1315617

    SAMPLE UNIT: Child SAMPLE SIZE: 259627

    SAMPLE UNIT: Man SAMPLE SIZE: 112122

    SAMPLE UNIT: Member SAMPLE SIZE: 2869043

    Mode of data collection

    Face-to-face [f2f]

  14. w

    Demographic and Health Survey 1992 - IPUMS Subset - India

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated May 14, 2020
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    Minnesota Population Center (2020). Demographic and Health Survey 1992 - IPUMS Subset - India [Dataset]. https://microdata.worldbank.org/index.php/catalog/3107
    Explore at:
    Dataset updated
    May 14, 2020
    Dataset provided by
    International Institute for Population Sciences.
    Minnesota Population Center
    Time period covered
    1992 - 1993
    Area covered
    India
    Description

    Analysis unit

    Woman, Birth, Child, Member

    Universe

    Ever-married women age 13-49, Births, Children age 0-3, All persons

    Kind of data

    Demographic and Household Survey [hh/dhs]

    Sampling procedure

    MICRODATA SOURCE: International Institute for Population Sciences.

    SAMPLE UNIT: Woman SAMPLE SIZE: 89777

    SAMPLE UNIT: Birth SAMPLE SIZE: 275172

    SAMPLE UNIT: Child SAMPLE SIZE: 48959

    SAMPLE UNIT: Member SAMPLE SIZE: 514827

    Mode of data collection

    Face-to-face [f2f]

  15. v

    India import data of Dhs and HSN Code 3910

    • volza.com
    csv
    Updated Oct 17, 2021
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    Volza.LLC (2021). India import data of Dhs and HSN Code 3910 [Dataset]. https://www.volza.com/imports-india/india-import-data-of-dhs-and-hscode-3910
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 17, 2021
    Dataset provided by
    Volza.LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2014 - Sep 30, 2021
    Area covered
    India
    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value
    Description

    41 India import shipment records of Dhs and HSN Code 3910 with prices, volume & current Buyer’s suppliers relationships based on actual India import trade database.

  16. Dhs Import Data India – Buyers & Importers List

    • seair.co.in
    Updated Dec 20, 2015
    + more versions
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    Seair Exim (2015). Dhs Import Data India – Buyers & Importers List [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 20, 2015
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  17. Global Dhs suppliers, manufacturers list and Global exporters directory of...

    • volza.com
    csv
    Updated Jun 30, 2025
    + more versions
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    Volza FZ LLC (2025). Global Dhs suppliers, manufacturers list and Global exporters directory of Dhs [Dataset]. https://www.volza.com/suppliers-india/india-exporters-suppliers-of-dhs
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of export value, 2014-01-01/2021-09-30
    Description

    72 Active Global Dhs suppliers, manufacturers list and Global Dhs exporters directory compiled from actual Global export shipments of Dhs.

  18. f

    Study participant details having only DM as per NFHS 4 and NFHS 5 survey.

    • figshare.com
    • plos.figshare.com
    Updated Jul 18, 2024
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    Rishabh Kumar Rana; Ravi Ranjan Jha; Ratnesh Sinha; Dewesh Kumar; Richa Jaiswal; Urvish Patel; Jang Bahadur Prasad; Sitanshu Sekhar Kar; Sonu Goel (2024). Study participant details having only DM as per NFHS 4 and NFHS 5 survey. [Dataset]. http://doi.org/10.1371/journal.pone.0305223.t001
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Rishabh Kumar Rana; Ravi Ranjan Jha; Ratnesh Sinha; Dewesh Kumar; Richa Jaiswal; Urvish Patel; Jang Bahadur Prasad; Sitanshu Sekhar Kar; Sonu Goel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Study participant details having only DM as per NFHS 4 and NFHS 5 survey.

  19. f

    Study participant details having only HTN as per NFHS 4 and NFHS 5 survey.

    • plos.figshare.com
    xls
    Updated Jul 18, 2024
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    Rishabh Kumar Rana; Ravi Ranjan Jha; Ratnesh Sinha; Dewesh Kumar; Richa Jaiswal; Urvish Patel; Jang Bahadur Prasad; Sitanshu Sekhar Kar; Sonu Goel (2024). Study participant details having only HTN as per NFHS 4 and NFHS 5 survey. [Dataset]. http://doi.org/10.1371/journal.pone.0305223.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Rishabh Kumar Rana; Ravi Ranjan Jha; Ratnesh Sinha; Dewesh Kumar; Richa Jaiswal; Urvish Patel; Jang Bahadur Prasad; Sitanshu Sekhar Kar; Sonu Goel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Study participant details having only HTN as per NFHS 4 and NFHS 5 survey.

  20. Dehydroacetic Acid Dhs Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 5, 2024
    + more versions
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    Dataintelo (2024). Dehydroacetic Acid Dhs Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/dehydroacetic-acid-dhs-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 5, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Dehydroacetic Acid (DHS) Market Outlook



    The global Dehydroacetic Acid (DHS) market size was valued at approximately USD 220 million in 2023 and is projected to reach around USD 350 million by 2032, growing at a Compound Annual Growth Rate (CAGR) of 5.1% during the forecast period. This growth can be attributed to the increasing demand for DHS in various applications such as cosmetics, pharmaceuticals, and food preservatives. The market is anticipated to witness significant expansion driven by the rising awareness regarding the benefits of DHS and its multifaceted uses in multiple industries.



    One of the primary growth factors for the DHS market is the escalating demand in the cosmetics industry. DHS is extensively used as a preservative in a wide range of cosmetic products including creams, lotions, and makeup items due to its antibacterial and antifungal properties. With the rising consumer expenditure on personal grooming and the increasing awareness of personal care products, the demand for DHS is expected to witness a substantial upsurge. Furthermore, the growing trend towards organic and natural beauty products where DHS plays a vital role as a safe preservative is also propelling market growth.



    The pharmaceutical industry's expansion is another significant driver for the DHS market. DHS is utilized in pharmaceutical formulations to enhance the shelf life of products by preventing microbial growth. As the healthcare sector continues to grow with increased investments in R&D and the rising prevalence of chronic diseases, the demand for DHS in pharmaceutical applications is expected to rise. Moreover, the stringent regulatory frameworks and the need for safe and effective preservatives in medical formulations are further fueling the demand for DHS in this sector.



    Additionally, the food and beverage industry is witnessing a substantial demand for DHS as a food preservative. With the increasing global population and the growing need for long shelf-life food products, DHS is becoming an essential component in the food preservation process. The rising awareness about food safety and the increasing preference for packaged and convenience foods among consumers are significant contributors to the market's growth. Moreover, the shift towards natural and organic food products, where DHS is used as a non-toxic preservative, is also augmenting the market demand.



    Regionally, the DHS market is expected to witness varied growth patterns. North America and Europe are anticipated to be the leading markets due to the well-established cosmetics and pharmaceutical industries and the high consumer awareness regarding product safety and quality. The Asia Pacific region is expected to witness the highest growth rate during the forecast period owing to the rapidly expanding personal care and healthcare sectors, increasing disposable incomes, and the growing urban population. Additionally, the rising agricultural activities in countries like India and China are boosting the demand for DHS in pesticides and other agricultural applications.



    Product Type Analysis



    The Dehydroacetic Acid market can be segmented based on product type into powder and liquid forms. The powder form of DHS is widely used across various industries due to its ease of handling, storage, and application. In the cosmetics industry, DHS powder is preferred for formulating dry products such as facial powders and eyeshadows. Its stability and effectiveness as a preservative in powder form make it a favored choice among manufacturers. Moreover, the pharmaceutical industry utilizes DHS powder in tablets and capsules to ensure prolonged shelf life and product stability. The ease of incorporation into solid dosage forms without affecting the efficacy of the active ingredients contributes to its popularity.



    On the other hand, the liquid form of DHS holds a significant share in the market, especially in applications requiring solubility and ease of mixing. The liquid form is extensively used in liquid-based cosmetic products such as lotions, creams, and serums, where uniform dispersion and consistent preservative action are critical. The food and beverage industry also utilizes liquid DHS in liquid food products, beverages, and syrups to prevent microbial growth and extend shelf life. The versatility and ease of application of liquid DHS in various formulations are driving its demand across multiple industries.



    The choice between powder and liquid forms of DHS often depends on the specific requirements of the end-use application. Manufacturers opt for the form that offer

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United States Department of Homeland Security (2025). DHS - India [Dataset]. https://iatiregistry.org/dataset/dhs-india
Organization logo

DHS - India

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144 scholarly articles cite this dataset (View in Google Scholar)
iati-xml(36742)Available download formats
Dataset updated
Jun 16, 2025
Dataset provided by
U.S. Department of Homeland Securityhttp://www.dhs.gov/
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Area covered
India
Description

DHS - India

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