Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Rural data was reported at 890.000 NA in 2020. This records an increase from the previous number of 881.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Rural data is updated yearly, averaging 874.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 890.000 NA in 2020 and a record low of 862.000 NA in 2017. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data was reported at 905.000 NA in 2020. This records an increase from the previous number of 894.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data is updated yearly, averaging 878.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 905.000 NA in 2020 and a record low of 869.000 NA in 2014. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

The statistic displays the literacy rate in the state of Uttar Pradesh in India between 1991 and 2011, broken down by gender. In 2001, close to 70 percent of the male population living in Uttar Pradesh knew how to read or write. India's literacy rate from 1981 through 2011 can be found here.

Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Urban data was reported at 960.000 NA in 2020. This records an increase from the previous number of 943.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Urban data is updated yearly, averaging 883.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 960.000 NA in 2020 and a record low of 866.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Urban data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

The total gross enrollment ratio of students from the pre-primary to second grade across Uttar Pradesh, one of the largest states in India during financial year 2024 was almost 32 percent. The enrollment ratio of students from sixth grade to eighth grade was higher among female students compared to male students that year.

Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh在2020达905.000NA，相较于2019的894.000NA有所增长。Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh数据按每年更新，2006至2020期间平均值为878.000NA，共15份观测结果。该数据的历史最高值出现于2020，达905.000NA，而历史最低值则出现于2014，为869.000NA。CEIC提供的Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh数据处于定期更新的状态，数据来源于Office of the Registrar General & Census Commissioner, India，数据归类于India Premium Database的Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth。

912 (Females per 1,000 males) in 2011.

Abstract

The second National Family Health Survey (NFHS-2), conducted in 1998-99, provides information on fertility, mortality, family planning, and important aspects of nutrition, health, and health care. The International Institute for Population Sciences (IIPS) coordinated the survey, which collected information from a nationally representative sample of more than 90,000 ever-married women age 15-49. The NFHS-2 sample covers 99 percent of India's population living in all 26 states. This report is based on the survey data for 25 of the 26 states, however, since data collection in Tripura was delayed due to local problems in the state.

IIPS also coordinated the first National Family Health Survey (NFHS-1) in 1992-93. Most of the types of information collected in NFHS-2 were also collected in the earlier survey, making it possible to identify trends over the intervening period of six and one-half years. In addition, the NFHS-2 questionnaire covered a number of new or expanded topics with important policy implications, such as reproductive health, women's autonomy, domestic violence, women's nutrition, anaemia, and salt iodization.

The NFHS-2 survey was carried out in two phases. Ten states were surveyed in the first phase which began in November 1998 and the remaining states (except Tripura) were surveyed in the second phase which began in March 1999. The field staff collected information from 91,196 households in these 25 states and interviewed 89,199 eligible women in these households. In addition, the survey collected information on 32,393 children born in the three years preceding the survey. One health investigator on each survey team measured the height and weight of eligible women and children and took blood samples to assess the prevalence of anaemia.

SUMMARY OF FINDINGS

POPULATION CHARACTERISTICS

Three-quarters (73 percent) of the population lives in rural areas. The age distribution is typical of populations that have recently experienced a fertility decline, with relatively low proportions in the younger and older age groups. Thirty-six percent of the population is below age 15, and 5 percent is age 65 and above. The sex ratio is 957 females for every 1,000 males in rural areas but only 928 females for every 1,000 males in urban areas, suggesting that more men than women have migrated to urban areas.

The survey provides a variety of demographic and socioeconomic background information. In the country as a whole, 82 percent of household heads are Hindu, 12 percent are Muslim, 3 percent are Christian, and 2 percent are Sikh. Muslims live disproportionately in urban areas, where they comprise 15 percent of household heads. Nineteen percent of household heads belong to scheduled castes, 9 percent belong to scheduled tribes, and 32 percent belong to other backward classes (OBCs). Two-fifths of household heads do not belong to any of these groups.

Questions about housing conditions and the standard of living of households indicate some improvements since the time of NFHS-1. Sixty percent of households in India now have electricity and 39 percent have piped drinking water compared with 51 percent and 33 percent, respectively, at the time of NFHS-1. Sixty-four percent of households have no toilet facility compared with 70 percent at the time of NFHS-1.

About three-fourths (75 percent) of males and half (51 percent) of females age six and above are literate, an increase of 6-8 percentage points from literacy rates at the time of NFHS-1. The percentage of illiterate males varies from 6-7 percent in Mizoram and Kerala to 37 percent in Bihar and the percentage of illiterate females varies from 11 percent in Mizoram and 15 percent in Kerala to 65 percent in Bihar. Seventy-nine percent of children age 6-14 are attending school, up from 68 percent in NFHS-1. The proportion of children attending school has increased for all ages, particularly for girls, but girls continue to lag behind boys in school attendance. Moreover, the disparity in school attendance by sex grows with increasing age of children. At age 6-10, 85 percent of boys attend school compared with 78 percent of girls. By age 15-17, 58 percent of boys attend school compared with 40 percent of girls. The percentage of girls 6-17 attending school varies from 51 percent in Bihar and 56 percent in Rajasthan to over 90 percent in Himachal Pradesh and Kerala.

Women in India tend to marry at an early age. Thirty-four percent of women age 15-19 are already married including 4 percent who are married but gauna has yet to be performed. These proportions are even higher in the rural areas. Older women are more likely than younger women to have married at an early age: 39 percent of women currently age 45-49 married before age 15 compared with 14 percent of women currently age 15-19. Although this indicates that the proportion of women who marry young is declining rapidly, half the women even in the age group 20-24 have married before reaching the legal minimum age of 18 years. On average, women are five years younger than the men they marry. The median age at marriage varies from about 15 years in Madhya Pradesh, Bihar, Uttar Pradesh, Rajasthan, and Andhra Pradesh to 23 years in Goa.

As part of an increasing emphasis on gender issues, NFHS-2 asked women about their participation in household decisionmaking. In India, 91 percent of women are involved in decision-making on at least one of four selected topics. A much lower proportion (52 percent), however, are involved in making decisions about their own health care. There are large variations among states in India with regard to women's involvement in household decisionmaking. More than three out of four women are involved in decisions about their own health care in Himachal Pradesh, Meghalaya, and Punjab compared with about two out of five or less in Madhya Pradesh, Orissa, and Rajasthan. Thirty-nine percent of women do work other than housework, and more than two-thirds of these women work for cash. Only 41 percent of women who earn cash can decide independently how to spend the money that they earn. Forty-three percent of working women report that their earnings constitute at least half of total family earnings, including 18 percent who report that the family is entirely dependent on their earnings. Women's work-participation rates vary from 9 percent in Punjab and 13 percent in Haryana to 60-70 percent in Manipur, Nagaland, and Arunachal Pradesh.

FERTILITY AND FAMILY PLANNING

Fertility continues to decline in India. At current fertility levels, women will have an average of 2.9 children each throughout their childbearing years. The total fertility rate (TFR) is down from 3.4 children per woman at the time of NFHS-1, but is still well above the replacement level of just over two children per woman. There are large variations in fertility among the states in India. Goa and Kerala have attained below replacement level fertility and Karnataka, Himachal Pradesh, Tamil Nadu, and Punjab are at or close to replacement level fertility. By contrast, fertility is 3.3 or more children per woman in Meghalaya, Uttar Pradesh, Rajasthan, Nagaland, Bihar, and Madhya Pradesh. More than one-third to less than half of all births in these latter states are fourth or higher-order births compared with 7-9 percent of births in Kerala, Goa, and Tamil Nadu.

Efforts to encourage the trend towards lower fertility might usefully focus on groups within the population that have higher fertility than average. In India, rural women and women from scheduled tribes and scheduled castes have somewhat higher fertility than other women, but fertility is particularly high for illiterate women, poor women, and Muslim women. Another striking feature is the high level of childbearing among young women. More than half of women age 20-49 had their first birth before reaching age 20, and women age 15-19 account for almost one-fifth of total fertility. Studies in India and elsewhere have shown that health and mortality risks increase when women give birth at such young ages?both for the women themselves and for their children. Family planning programmes focusing on women in this age group could make a significant impact on maternal and child health and help to reduce fertility.

INFANT AND CHILD MORTALITY

NFHS-2 provides estimates of infant and child mortality and examines factors associated with the survival of young children. During the five years preceding the survey, the infant mortality rate was 68 deaths at age 0-11 months per 1,000 live births, substantially lower than 79 per 1,000 in the five years preceding the NFHS-1 survey. The child mortality rate, 29 deaths at age 1-4 years per 1,000 children reaching age one, also declined from the corresponding rate of 33 per 1,000 in NFHS-1. Ninety-five children out of 1,000 born do not live to age five years. Expressed differently, 1 in 15 children die in the first year of life, and 1 in 11 die before reaching age five. Child-survival programmes might usefully focus on specific groups of children with particularly high infant and child mortality rates, such as children who live in rural areas, children whose mothers are illiterate, children belonging to scheduled castes or scheduled tribes, and children from poor households. Infant mortality rates are more than two and one-half times as high for women who did not receive any of the recommended types of maternity related medical care than for mothers who did receive all recommended types of care.

HEALTH, HEALTH CARE, AND NUTRITION

Promotion of maternal and child health has been one of the most important components of the Family Welfare Programme of the Government of India. One goal is for each pregnant woman to receive at least three antenatal check-ups plus two tetanus toxoid injections and a full course of iron and folic acid supplementation. In India, mothers of 65 percent of the children

As of the year 2024, the population of the capital city of India, Delhi was over 33 million people. This was a 2.63 percent growth from last year. The historical trends show that the population doubled between 1990 and 2010. However, the population growth rate in the last three years has been the lowest since the recorded period starting in 1960. The UN estimated that the population was expected to reach around 35 million by 2030. Reasons for population growth   As per the Delhi Economic Survey, migration added over 200 thousand people to Delhi’s population in 2022. The estimates showed relative stability in natural population growth for a long time before the pandemic. The numbers suggest a sharp decrease in birth rates from 2020 onwards and a corresponding increase in death rates in 2021 due to the Covid-19 pandemic. The net natural addition or the remaining growth is attributed to migration. These estimates are based on trends published by the Civil Registration System. National Capital Region (NCR) Usually, population estimates for Delhi represent the urban agglomeration of Delhi, which includes Delhi and some of its adjacent suburban areas. The National Capital Region or NCR is one of the largest urban agglomerations in the world. It is an example of inter-state regional planning and development, centred around the National Capital Territory of Delhi, and covering certain districts of neighbouring states Haryana, Uttar Pradesh, and Rajasthan. Noida, Gurugram, and Ghaziabad are some of the key cities of NCR. Over the past decade, NCR has emerged as a key economic centre in India.

Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Urban在2020达960.000NA，相较于2019的943.000NA有所增长。Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Urban数据按每年更新，2006至2020期间平均值为883.000NA，共15份观测结果。该数据的历史最高值出现于2020，达960.000NA，而历史最低值则出现于2006，为866.000NA。CEIC提供的Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh: Urban数据处于定期更新的状态，数据来源于Office of the Registrar General & Census Commissioner, India，数据归类于India Premium Database的Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth。

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

India General Election: Uttar Pradesh: Number of Voters: Male to Female Ratio data was reported at 1.246 % in 2014. This records a decrease from the previous number of 1.381 % for 2009. India General Election: Uttar Pradesh: Number of Voters: Male to Female Ratio data is updated yearly, averaging 1.459 % from Mar 1962 (Median) to 2014, with 14 observations. The data reached an all-time high of 1.809 % in 1962 and a record low of 1.246 % in 2014. India General Election: Uttar Pradesh: Number of Voters: Male to Female Ratio data remains active status in CEIC and is reported by CEIC Data. The data is categorized under India Premium Database’s General Election – Table IN.GEF034: General Election: Loksabha: Number of Voters: Uttar Pradesh.

Transgender people, often referred to as the Hijras in the Indian subcontinent, are an officially recognized third gender in the country and consider themselves neither male nor female. As per the latest census in 2011, India recorded over 487 thousand people who identified as the third gender, most of whom came from the northern state of Uttar Pradesh.

Socioeconomics of Hijras 

Hijras are associated by several terms, depending on culture and linguistics. In various Indian languages, Hijras are called Napunsakudu (Telugu), Thiru Nangai (Tamil), Khwaja Sara (Urdu), Khusra (Punjabi) and Mangalamukhi (Kannada) among others. The third gender is inherent to Indian mythology.

Socio-economically, Hijras live in well-defined communities, led by a Guru or teacher. They consist of generations of the third gender who were rejected by or fled from their birth-families. Apart from sex-work, performing at auspicious social gatherings or plain extortion was how most survived. This was due to the lack of education and employment due to their low status in their society’s hierarchy. This also meant that they underwent brutal violence with little or no opportunity for justice.

 Indian law and the third gender  

When the country’s Supreme Court re-criminalized homosexuality in 2013, there was a sharp increase in violence against the third gender by the Indian Police Service, far from investigating reports of sexual assault. Later in 2014, with the support of activists and NGOs lobbying for human rights, the same highest court ruled the recognition of the third gender community, equal to the socially and economically backward class. This meant that they now had access to proportional representation in education and jobs.

India General Election: Uttar Pradesh: Number of Electors: Male to Female Ratio data was reported at 1.209 % in 2014. This records an increase from the previous number of 1.205 % for 2009. India General Election: Uttar Pradesh: Number of Electors: Male to Female Ratio data is updated yearly, averaging 1.207 % from Mar 1971 (Median) to 2014, with 12 observations. The data reached an all-time high of 1.229 % in 1989 and a record low of 1.177 % in 1977. India General Election: Uttar Pradesh: Number of Electors: Male to Female Ratio data remains active status in CEIC and is reported by CEIC Data. The data is categorized under India Premium Database’s General Election – Table IN.GEE034: General Election: Loksabha: Election Polling Stations, Constituencies and Electors: Uttar Pradesh.

The share of employable women in India in 2025 saw a decrease from the previous year. Men accounted for about ** percent of employability that year. In fact, a larger share of women than men have constituted India’s employable talent since 2020 until a drop in 2025. Employability refers to a person's ability to gain and maintain employment. India’s professional talent pool Indian corporations and employers found a rich supply of highly employable graduates in states such as Maharashtra and Delhi. The demand for professionals with a year or more of working experience outweighed that of graduates without experience, thus, driving up the preference for internships. Some of the most employable candidates in 2024 were graduates with degrees in engineering, business administration and computer applications. Employability does not translate to employment However, higher employability did not translate to employment as was indicated by the country’s youth unemployment rate. Gender gap in participation at work has also persisted over the years. In addition to skill training, more jobs need to be created to absorb the growing unemployed and underemployed youth.

General Election: Uttar Pradesh: Number of Electors: Male to Female Ratio在2014达1.209 %，相较于2009的1.205 %有所增长。General Election: Uttar Pradesh: Number of Electors: Male to Female Ratio数据按每年更新，1971至2014期间平均值为1.207 %，共12份观测结果。该数据的历史最高值出现于1989，达1.229 %，而历史最低值则出现于1977，为1.177 %。CEIC提供的General Election: Uttar Pradesh: Number of Electors: Male to Female Ratio数据处于定期更新的状态，数据来源于CEIC Data，数据归类于India Premium Database的General Election – Table IN.GEE034: General Election: Loksabha: Election Polling Stations, Constituencies and Electors: Uttar Pradesh。