The District Level Household and Facility Survey (DLHS-3) is a nationwide survey covering 601 districts from 34 states and union territories of India. This is the third round of the district level household survey which was conducted during December 2007 to December 2008. Data was collected from 7,20,320 households from 28 States and 6 Union Territories of India during 2007-08. From these households, 6,43,944 ever-married women aged 15-49 years and 1,66,620 unmarried women aged 15-24 years were interviewed. The DLHS-3 is designed to provide information on family planning, maternal and child health, reproductive health of ever married women and adolescent girls, utilization of maternal and child healthcare services at the district level for India. In addition, DLHS-3 also provides information on new-born care, post-natal care within 48 hours, role of ASHA in enhancing the reproductive and child health care and coverage of Janani Suraksha Yojana (JSY). An important component of DLHS-3 is the integration of Facility Survey of health institution (Sub centre, Primary Health Centre, Community Health Centre and District Hospital) accessible to the sampled villages. The focus of DLHS-3 is to provide health care and utilization indicators at the district level for the enhancement of the activities under National Rural Health Mission (NRHM). It contains data on Child feeding practices, Child Immunization and Vitamin A suplimentation, Family Planning (currently marriedmage 15 to 49), Knowledge of HIV-AIDs and RTI-STI among ever married women (15 to 49 age), Knowledge of HIV-AIDs unmarried women (15 to 24age), Marriage and fertility (Jan2004 to 2007-08, Maternal Health, Population and household characteristics, Standard of Living Index, Treatment of childhood disease (children under 3 years based on last surviving children), Village Indicator, Women facilitated or motivated by ASHA and Facility Indicators.

The District Level Household and Facility Survey (DLHS-4) is a nationwide survey which was conducted during 2012-13. The ever-married womens questionnaire contained information on womens characteristics, maternal care, immunization and childcare, contraception and fertility preferences, reproductive health including knowledge about HIV/AIDS. The village questionnaire contained information on availability of health, education and other facilities in the village, and whether the facilities are accessible throughout the year. The health facility questionnaire contained information on human resources, infrastructure, and services. For the first time, a population-linked facility survey has been conducted in DLHS-4. All Community Health Centres (CHCs), District Hospitals and Sub Divisional Hospitals were covered. Further, all Sub-Health Centres and Primary Health Centres (PHCs) which serve the population of the selected PSUs were also covered.It contains district wise data on population and household profile, percentage of households having electricity, improved source of drinking water, having access to improved toilet facility, use clean fuel for cooking, mean age of marriage for girls and boys and percentage of currently married women married below age 18 years and 21 years, characteristics of women, fertility, current use of family planning methods, Unmet need for family planning, quality of family planning services, antenatal care, delivery care, percentage of women who received JSY benefits, percentage of women who had any pregnancy complication, any delivery complication, any post-delivery complication, problem of vaginal discharge and menstrual related problems, percentage of pregnancy resulted in live birth, still birth, induced abortion and spontaneous abortion, child immunization, child feeding practices, birth weight, awareness about Diarrhoea, awareness about ARI, treatment of childhood diseases, awareness of RTI/STI and HIV/AIDS, utilization of government health services, birth registration, personal habits, reported prevalence of morbidity, reported prevalence of chronic illness during last one year, Anaemia status by Haemoglobin level, blood sugar level and hypertension.

Multilevel logistic regression analysis of factors associated with ‘low’ quality of care in sterilization services in India.

Trend of socioeconomic inequalities across various maternal and child health indicators in Haryana from pre to post NRHM.

Descriptive statistics, percentage distribution, and results of Pearson’s chi-square test for the quality of care in sterilization services in India.

Description of the study variables.

🇮🇳 인도

ObjectiveThe implemented multiple-strategy community intervention National Rural Health Mission (NRHM) between 2005 and 2012 aimed to reduce maternal and child health (MCH) inequalities across geographical, socioeconomic and gender categories in India. The objective of this study is to quantify the extent of reduction in these inequalities pre- and post-NRHM in Haryana, North India.MethodsData of district-level household surveys (DLHS) held before (2002–04), during (2007–08), and after (2012–13) the implementation of NRHM has been used. Geographical, socioeconomic and gender inequalities in maternal and child health were assessed by estimating the absolute differences in MCH indicators between urban and rural areas, between the most advantaged and least advantaged socioeconomic groups and between male and female children. Logistic regression analyses were done to observe significant differences in these inequalities between 2005 and 2012.ResultsThere were significant improvements in all MCH indicators (p

Percentage of skips observed during the DLHS-3 survey for the major states of India.

Get data of Health and Family Welfare Statistics - 2017, it provides health and family welfare performance statistics on the various facets of the health and family welfare programmes in India . It includes data on Population and Vital Statistics indicators, Performances of Family Welfare Programmes, Targets/Need Assessed and Achievements of Maternal Health Activities, Child Health, findings of Surveys on Health and Family Welfare Key Indicators [These surveys inter-alia include, National Family Health Survey (NFHS), District Level Household and Facility Survey (DLHS), Annual Health Survey (AHS), Coverage Evaluation Survey (CES) etc.], information on selected indicators from Annual Health Survey (AHS) and Concurrent Evaluation of National Health Mission, information on Infrastructure etc.

Percent distribution of unmarried women (15–24 years) according to knowledge/awareness about HIV/AIDS by their FLE status in India, DLHS-3, 2007–2008.

Get data of Health and Family Welfare Statistics - 2019-20, it provides health and family welfare performance statistics on the various facets of the health and family welfare programmes in India . It includes data on Population and Vital Statistics indicators, Performances of Family Welfare Programmes, Targets/Need Assessed and Achievements of Maternal Health Activities, Child Health, findings of Surveys on Health and Family Welfare Key Indicators [These surveys inter-alia include, National Family Health Survey (NFHS), District Level Household and Facility Survey (DLHS), Annual Health Survey (AHS), Coverage Evaluation Survey (CES) etc.], information on selected indicators from Annual Health Survey (AHS) and Concurrent Evaluation of National Health Mission, information on Infrastructure etc.

Percent distribution of unmarried young women (15–24 years) who received family life education (FLE) by selected demographic and socioeconomic characteristics in India, DLHS-3, 2007–2008.

Data sources used in the assessment of disability prevalence in India.

Percent distribution of unmarried women (15–24 years) according to knowledge/awareness of contraceptive methods by their FLE status in India, DLHS-3, 2007–2008.

There have been few formal assessments of India's Janani Suraksha Yojana (JSY), a national-level conditional cash transfer program to incentivize women to deliver in health facilities in order to reduce maternal and neonatal mortality. Using data from India's 2007-2008 District-Level Household Survey (DLHS-3), we undertake a reassessment of JSY based on a recent impact evaluation (Lim 2010). The impact of JSY and the characteristics of women reporting receipt of nancial assistance from JSY were previo usly reported at the national level (Lim 2010). We demonstrate that there was great heterogeneity in JSY uptake across the Indian states. Further, our results show that the impact of JSY on increasing antenatal care, in-facility birth, and skilled birth attendance also varies widely across states. Assessments of the uptake and impact of JSY should be carefully contextualized to the appropriate setting to allow for more informed policy insight in order to improve program implementation at the state and national level.

This map provides district level Health Data for West Bengal, India which includes details like no of PHCs,CHCs,Distirct Hospitals in each districts, Percentage of women (aged 15-49)## who received any antenatal check-up (ANC) during pregnancy by source and place of antenatal check-ups by districts, West Bengal, 2012-13Source links for the Health MIS data are given below:1.District-Wise Availability of Health Centers In India:https://data.gov.in/catalog/district-wise-availability-health-centres-india-0https://data.gov.in/catalog/rural-health-statistics-20162.Maternal Health Care of West Bengal:https://nrhm-mis.nic.in/SitePages/DLHS-4.aspx?RootFolder=%2FDLHS4%2FState%20Reports&FolderCTID=0x012000742F17DFC64D5E42B681AB0972048759&View={F8D23EC0-C74A-41C3-B676-5B68BDE5007D}This web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

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.

Classification of the states based on degree of age displacement for women in the DLHS-3 survey.

The age groups used to estimate downward and upward shift of women from eligible age group (15–49) for DLHS-3 survey.