The second wave of pandemic has entered the rural parts of India, this has brought attention to health infrastructure in rural areas. This data set is a obtained from latest report from Ministry of Health and Family Welfare, Government of India, 2019-2020.

Columns Description:

State/UT - Name of State/ Union Territory Sub Center - Most peripheral contact point between Primary Health Care System & Community Primary Health Center - A Referral Unit for 6 Sub Centres 4-6 bedded manned with a Medical Officer Incharge and 14 subordinate paramedical staff. Community Health Center - A 30 bedded Hospital/Referral Unit for 4 PHCs with Specialized services Auxiliary Midwife - Auxiliary nurse midwife, commonly known as ANM, is a village-level female health worker in India who is known as the first contact person between the community and the health services. Doctors - Number of Doctors in position Specialists - Surgeons, OB&GY, Physicians & Paediatricians Radiographers - Health professional who uses x-rays to produce radiographs of patients in order to help diagnose the patient's medical condition. Pharmacists - prepare and dispense prescriptions, ensure medicines and doses are correct, prevent harmful drug interactions, and counsel patients on the safe and appropriate use of their medications. Lab Technician - Medical Lab Technologist deals with performing complex tests for the detection, diagnosis and treatment of diseases. Nursing Staff - person trained to provide medical care for the sick or disabled, especially one who is licensed and works in a hospital or physician's office

Other Info: 1. Telangana came to existence in 2014 after bifurcation of Andhra Pradesh 2. Jammu & Kashmir and Ladakh bifurcated and became UTs during Aug 2019. 3. Dadra & Nagar Haveli and Daman Diu merged as single UT during Jan 2020. 4. NA: Not Available, N App: Not Applicable, *: Surplus. 5. For rhs_2020_vacancies_shortfalls.csv - All India figures for Vacancy and Shortfall are the totals of State-wise Vacancy and Shortfall ignoring surplus in some States / UTs

By 2030, it was expected that the healthcare start-up companies in India will benefit most from the implementation of open digital health ecosystems with a market share of ***** percent in 2030. However, in-patient hospitals had a market share of ** percent in 2019, and estimated to reduce to approximately ** percent in 2030.

WHO: COVID-2019: Number of Patients: Confirmed: To-Date: India data was reported at 45,008,620.000 Person in 24 Dec 2023. This stayed constant from the previous number of 45,008,620.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Confirmed: To-Date: India data is updated daily, averaging 35,875,790.000 Person from Jan 2020 (Median) to 24 Dec 2023, with 1425 observations. The data reached an all-time high of 45,008,620.000 Person in 24 Dec 2023 and a record low of 1.000 Person in 30 Jan 2020. WHO: COVID-2019: Number of Patients: Confirmed: To-Date: India data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued).

In the financial year 2024,****************** accounted for the highest share, about **********, of the healthcare delivery market in India. Meanwhile, the government hospitals' share was just over ** percent. The private hospitals' growth is connected to the high-quality service and market expansion, resulting in higher preference among patients.

This data contains all the essential data in the form of % with respect to rural and urban Indian states . This dataset is highly accurate as this is taken from the Indian govt. it is updated till 2021 for all states and union territories. source of data is data.gov.in titled - ******All India and State/UT-wise Factsheets of National Family Health Survey******

it is advised to you pls search the data keywords you need by using (Ctrl+f) , as it will help to avoid time wastage. States/UTs

Different columns it contains are Area

Number of Households surveyed Number of Women age 15-49 years interviewed Number of Men age 15-54 years interviewed

Female population age 6 years and above who ever attended school (%)

Population below age 15 years (%)

Sex ratio of the total population (females per 1,000 males)

Sex ratio at birth for children born in the last five years (females per 1,000 males)

Children under age 5 years whose birth was registered with the civil authority (%)

Deaths in the last 3 years registered with the civil authority (%)

Population living in households with electricity (%)

Population living in households with an improved drinking-water source1 (%)

Population living in households that use an improved sanitation facility2 (%)

Households using clean fuel for cooking3 (%) Households using iodized salt (%)

Households with any usual member covered under a health insurance/financing scheme (%)

Children age 5 years who attended pre-primary school during the school year 2019-20 (%)

Women (age 15-49) who are literate4 (%)

Men (age 15-49) who are literate4 (%)

Women (age 15-49) with 10 or more years of schooling (%)

Men (age 15-49) with 10 or more years of schooling (%)

Women (age 15-49) who have ever used the internet (%)

Men (age 15-49) who have ever used the internet (%)

Women age 20-24 years married before age 18 years (%)

Men age 25-29 years married before age 21 years (%)

Total Fertility Rate (number of children per woman) Women age 15-19 years who were already mothers or pregnant at the time of the survey (%)

Adolescent fertility rate for women age 15-19 years5 Neonatal mortality rate (per 1000 live births)

Infant mortality rate (per 1000 live births) Under-five mortality rate (per 1000 live births)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Any method6 (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Any modern method6 (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Female sterilization (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Male sterilization (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - IUD/PPIUD (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Pill (%)  

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Condom (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Injectables (%)

Total Unmet need for Family Planning (Currently Married Women Age 15-49 years)7 (%)

Unmet need for spacing (Currently Married Women Age 15-49 years)7 (%)

Health worker ever talked to female non-users about family planning (%)

Current users ever told about side effects of current method of family planning8 (%)

Mothers who had an antenatal check-up in the first trimester (for last birth in the 5 years before the survey) (%)

Mothers who had at least 4 antenatal care visits (for last birth in the 5 years before the survey) (%)

Mothers whose last birth was protected against neonatal tetanus (for last birth in the 5 years before the survey)9 (%)

Mothers who consumed iron folic acid for 100 days or more when they were pregnant (for last birth in the 5 years before the survey) (%)

Mothers who consumed iron folic acid for 180 days or more when they were pregnant (for last birth in the 5 years before the survey} (%)

Registered pregnancies for which the mother received a Mother and Child Protection (MCP) card (for last birth in the 5 years before the survey) (%)

Mothers who received postnatal care from a doctor/nurse/LHV/ANM/midwife/other health personnel within 2 days of delivery (for last birth in the 5 years before the survey) (%)

Average out-of-pocket expenditure per delivery in a public health facility (for last birth in the 5 years before the survey) (Rs.)

Children born at home who were taken to a health facility for a check-up within 24 hours of birth (for last birth in the 5 years before the survey} (%)

Children who received postnatal care from a doctor/nurse/LHV/ANM/midwife/ other health personnel within 2 days of delivery (for last birth in the 5 years before the survey) (%)

Institutional births (in the 5...

India IN: Number of Deaths Ages 20-24 Years data was reported at 146,669.000 Person in 2019. This records a decrease from the previous number of 148,431.000 Person for 2018. India IN: Number of Deaths Ages 20-24 Years data is updated yearly, averaging 219,654.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 223,796.000 Person in 2003 and a record low of 146,669.000 Person in 2019. India IN: Number of Deaths Ages 20-24 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Health Statistics. Number of deaths of youths ages 20-24 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

WHO: COVID-2019: No of Patients: Confirmed: New: India data was reported at 0.000 Person in 24 Dec 2023. This stayed constant from the previous number of 0.000 Person for 23 Dec 2023. WHO: COVID-2019: No of Patients: Confirmed: New: India data is updated daily, averaging 7,830.000 Person from Jan 2020 (Median) to 24 Dec 2023, with 1425 observations. The data reached an all-time high of 414,188.000 Person in 07 May 2021 and a record low of -749.000 Person in 15 Nov 2022. WHO: COVID-2019: No of Patients: Confirmed: New: India data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued). Prior to 03 Feb 2020, data were generated.

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.

A 2019 survey conducted in India revealed that back pain was the most common health problems among all respondents of various disability levels, at respectively ** percent of severely disabled respondents and ***** percent of the non-disabled. Other common health conditions included anxiety and depression, hypertension and arthritis (including arthrosis).In general, a larger share of respondents with severe disabilities unexpectedly suffered from more health complications than those with no disabilities.

The data shows the performance key HMIS indicator up to the district level year wise of the year 2019-2020; the different key indicators are family planning, child health, and maternal health, it also includes other things like dental health, Inpatient records etc. Note: HMIS-Health Management Information System is a Government Of India Health portal started in 2008; a centralised web-based application capturing the data facility-wise is a number-based data upload. The objective of HMIS is to better Monitor and Evaluate Health Programmes. To provide Key inputs to health policy formulations and interventions.

For the ********* budget year in India, more than *********** Indian rupees were allocated by the government for health and wellbeing purposes. This figure represents a *** percent increase from the previous year. The Indian government allocated a considerable amount of funds in response to the outbreak of COVID-19 in the country.

India's performance on the Global Health Security Index - score, rank, expert analysis, and comparison with global peers.

This Project Tycho dataset includes a CSV file with COVID-19 data reported in INDIA: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

COVID-19: As on Date: Number of Confirmed Cases: Bihar data was reported at 855,691.000 Case in 05 May 2025. This stayed constant from the previous number of 855,691.000 Case for 28 Apr 2025. COVID-19: As on Date: Number of Confirmed Cases: Bihar data is updated daily, averaging 830,695.000 Case from Mar 2020 (Median) to 05 May 2025, with 1580 observations. The data reached an all-time high of 855,691.000 Case in 05 May 2025 and a record low of 2.000 Case in 23 Mar 2020. COVID-19: As on Date: Number of Confirmed Cases: Bihar data remains active status in CEIC and is reported by Ministry of Health and Family Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table IN.HLF006: Disease Outbreaks: Coronavirus 2019: MOHFW.

Between 2019 and 2030, it was expected that healthcare start-up companies in India will benefit most from the implementation of an open digital health ecosystem with an estimated compound annual growth rate of over ** percent. Pharmacies ranked second n this estimation.

WHO: COVID-2019: Number of Patients: Death: New: India data was reported at 0.000 Person in 24 Dec 2023. This stayed constant from the previous number of 0.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Death: New: India data is updated daily, averaging 60.000 Person from Jan 2020 (Median) to 24 Dec 2023, with 1425 observations. The data reached an all-time high of 6,148.000 Person in 10 Jun 2021 and a record low of 0.000 Person in 24 Dec 2023. WHO: COVID-2019: Number of Patients: Death: New: India data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued).

Out of pocket payments on healthcare in India had the largest share of ** percent in 2019 and estimated to decline to ** percent by 2030. Government spending on healthcare was expected to go up in the same time period. This was a result of the open digital health implementation.

Effects of Digital India

The digital India campaign was launched by the government n 2015. It aimed to transform India into an information and knowledge-based economy in conjunction with the country’s telecommunications sector empowered with its growing wireless broadband coverage and increasing number of smart phone users. With this novel strategy of on-the-go access to information, governance and services, the Indian economy is said to have created immense potential by adding tremendous value to the GDP in the next few years.

Healthcare scenario

Nonetheless, India’s healthcare scenario remains far from utopic. As per the guidelines and recommendations set by the WHO, India falls severely short of the number of doctors and medical experts required to serve the population. In addition, there is also a major shortage of medical infrastructure. The number of hospitals and healthcare facilities are insufficient to absorb the sick population of the country. In response to this situation, the government of India launched the Ayushman Bharat scheme in 2018. The program includes access to primary health care from a family doctor, among other facilities.

India IN: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 4.000 Ratio in 2019. This records a decrease from the previous number of 4.100 Ratio for 2018. India IN: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 7.800 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 10.500 Ratio in 1990 and a record low of 4.000 Ratio in 2019. India IN: Probability of Dying at Age 15-19 Years: per 1000 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Health Statistics. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

Over the last two observations, the number of users is forecast to significantly increase in all segments. This reflects the overall trend throughout the entire forecast period from 2019 to 2029. It is estimated that the number of users is continuously rising in all segments. In this regard, the Digital care management segment achieves the highest value of ***** million users in 2029. Find further statistics on other topics such as a comparison of the number of users in the United States and a comparison of the number of users in Indonesia. The Statista Market Insights cover a broad range of additional markets.

India IN: Number of Deaths Ages 10-14 Years data was reported at 68,681.000 Person in 2019. This records a decrease from the previous number of 71,179.000 Person for 2018. India IN: Number of Deaths Ages 10-14 Years data is updated yearly, averaging 119,467.500 Person from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 140,520.000 Person in 1995 and a record low of 68,681.000 Person in 2019. India IN: Number of Deaths Ages 10-14 Years data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Health Statistics. Number of deaths of adolescents ages 10-14 years; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.