In 2011, the sex ratio of the general population in India was *** women to every one thousand men. On the other hand, the sex ratio of the elderly population in India stood at ***** women for every one thousand men, indicating an increase from the previous year. The sex ratio for both population types was forecasted to increase by 2031. After 2011, the sex ratio for the elderly population was estimated to be over ************, which indicates a higher number of elderly women than men.

About this dataset

Context

The dataset tabulates the population of Indian Village by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Indian Village across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 56.64% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Indian Village is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Indian Village total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Village Population by Race & Ethnicity. You can refer the same here

In India, the projected sex ratio for the population in 2036 is expected to see more females than males in comparison to the population as of 2011. Apart from Kerala, Karnataka, Maharashtra and Gujarat, the sex ratio is expected to increase in ******** states of India. Of these, the lowest sex ratio is expected to be seen in the national capital region of Delhi with *** in 2036.

Sex Ratio at Birth: Female per 1000 Male: Jharkhand data was reported at 914.000 NA in 2020. This records a decrease from the previous number of 916.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Jharkhand data is updated yearly, averaging 916.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 927.000 NA in 2007 and a record low of 888.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Jharkhand 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.

India recorded a gender ratio of approximately *** in 2011. The ratio was expected to improve to *** in 2026. Rural areas are expected to have a lower gender ratio in comparison to urban areas, with around *** women for every 1,000 men.

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.

This dataset provides comprehensive demographic information for various districts in India. It includes data on population, growth rates, sex ratios, and literacy rates. The dataset offers insights into the socio-economic landscape of Indian districts, making it valuable for demographic analyses, regional studies, and decision-making processes.

The gender ratio in India was 900 between 2013 and 2015. This meant, for every 1,000 males, 900 females were present. Among its states, Chhattisgarh had the highest gender ratio at 961 in 2015 and 2016, while Haryana recorded the least at 833.

This layer shows state-wise population under different age groups and Child Sex Ratio in 2001 and 2011 as per Economic Survey Report 2024-2025Source of data: https://www.indiabudget.gov.in/economicsurvey/doc/stat/tab8.8.pdfThis 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.

The data shows the year-wise gender ratio of population for states and union territories of India over the time period of 110 years starting from 1901 to 2011 according to the census reports.

Note: 1. For working out the gender ratio of India and Assam for 1981, interpolated figures for Assam have been used. 2. For working out the gender ratio of India and Jammu & Kashmir for 1991, interpolated figures for Jammu & Kashmir have been used. 3. The gender ratio for Arunachal Pradesh is not available for the years 1901-1951 and for Pondicherry it is not available for the years 1901, 1931 and 1941.

This dataset provides a comprehensive overview of the demographic trends and population statistics of India. It includes various aspects of the population, such as total population figures, gender distribution, religious composition, linguistic diversity, and age group breakdowns. The dataset aims to facilitate research and analysis in the fields of sociology, economics, and public policy by offering valuable insights into the demographic dynamics of India.

Key Features: - Census Data: Detailed population statistics based on census years, including total population, male and female counts, and differences between genders. - Religious Demographics: Information on the population distribution among different religions, along with percentages. - Language Distribution: Data on the number of speakers for various languages in India and their corresponding percentages. - Vital Statistics: Key indicators such as live births, deaths, natural changes, crude birth rates, and total fertility rates. - Age Distribution: Breakdown of the population by age group, including gender-specific counts and percentages.

Purpose: This dataset serves as a valuable resource for researchers, policymakers, and educators interested in understanding the demographic landscape of India. It can be used for various analyses, including population growth trends, gender ratios, and the impact of cultural diversity on the social fabric of the nation.

his dataset contains demographic information for Indian states from the Census years 1951 to 2011. It includes total population, rural and urban population, literacy rate, and sex ratio for each state/UT across multiple decades.

The dataset can be used for:

Analyzing population trends over time

Studying urbanization and rural migration

Examining literacy growth across states

Understanding sex ratio imbalances historically

Building machine learning models for future population prediction

Columns Included:

State – Name of the State or Union Territory

Year – Census year (1951, 1961, ..., 2011)

Total_Population – Total population in that year

Rural_Population – Population in rural areas

Urban_Population – Population in urban areas

Literacy_Rate – Literacy percentage of the population

Sex_Ratio – Number of females per 1000 males

Sex Ratio at Birth: Female per 1000 Male: West Bengal: Rural data was reported at 941.000 NA in 2020. This records a decrease from the previous number of 948.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: West Bengal: Rural data is updated yearly, averaging 940.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 953.000 NA in 2015 and a record low of 932.000 NA in 2007. Sex Ratio at Birth: Female per 1000 Male: West Bengal: 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.

This dataset contains the number of females per 100 males, i.e. gender ratio, for the elderly population and general population.

Sex Ratio at Birth: Female per 1000 Male: Odisha data was reported at 925.000 NA in 2020. This records a decrease from the previous number of 931.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Odisha data is updated yearly, averaging 938.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 956.000 NA in 2013 and a record low of 925.000 NA in 2020. Sex Ratio at Birth: Female per 1000 Male: Odisha 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.

Actual value and historical data chart for India Sex Ratio At Birth Male Births Per Female Births

Sex Ratio at Birth: Female per 1000 Male: Tamil Nadu data was reported at 917.000 NA in 2020. This records an increase from the previous number of 915.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Tamil Nadu data is updated yearly, averaging 926.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 955.000 NA in 2006 and a record low of 907.000 NA in 2017. Sex Ratio at Birth: Female per 1000 Male: Tamil Nadu 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.

Dataset Description:

This dataset contains two distinct tables that offer valuable insights into the population trends and characteristics of Indian districts. Dataset 1 includes demographic data, such as population growth rate, sex ratio, and literacy rate, while Dataset 2 provides information about the geographical aspects, including district area and population count. Together, these datasets empower researchers and data enthusiasts to explore and analyze India's demographic and geographical dynamics, contributing to a deeper understanding of the nation's diverse regions and populations.

Dataset 1: Demographic Insights - District: The name of the district within India. - State: The state to which the district belongs. - Growth: The population growth rate of the district. - Sex_Ratio: The ratio of males to females in the population. - Literacy: The literacy rate of the district's population.

Dataset 2: Geographical Information - District: The name of the district within India. - State: The state to which the district belongs. - Area_km2: The geographical area of the district in square kilometers. - Population: The population count of the district.

These datasets provide a comprehensive view of both the demographic and geographical aspects of Indian districts, enabling in-depth analysis of population trends and regional characteristics.

This dataset provides detailed information on the child population of Sikkim (0–6 years) based on the 2011 Census of India. It presents a breakdown of child population by residence type—Rural and Urban—and by sex (Male and Female). In addition, the dataset includes the Child Sex Ratio (CSR), defined as the number of girls per 1,000 boys in the 0–6 age group.

The dataset covers:

Rural and urban child population of Sikkim Male and female child population in both residence categories Child Sex Ratio (CSR) for the state, enabling demographic and gender-based comparison

The growth in India's overall population is driven by its young population. Nearly ** percent of the country's population was between the ages of 15 and 64 years old in 2020. With over *** million people between 18 and 35 years old, India had the largest number of millennials and Gen Zs globally.