About this dataset

Context

The dataset tabulates the population of Indian Village by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Indian Village. The dataset can be utilized to understand the population distribution of Indian Village by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Village. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Indian Village.

Key observations

Largest age group (population): Male # 75-79 years (10) | Female # 10-14 years (11). 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.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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.

Variables / Data Columns

• Age Group: This column displays the age group for the Indian Village population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Village is shown in the following column.
• Population (Female): The female population in the Indian Village is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Indian Village for each age group.

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 Gender. You can refer the same here

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.

Actual value and historical data chart for India Population Female Percent Of Total

India is the most populous country in the world with one-sixth of the world's population. According to official estimates in 2022, India's population stood at over 1.42 billion.

This dataset contains the population distribution by state, gender, sex & region.

The file is in .csv format thus it is accessible everywhere.

From 2011 to 2036, the projected population among both, males and females in India is expected to see an increase. The percentage increase in the projected population for males was approximately ** percent from 2011 to 2036 while the percentage increase for the female population was roughly ** percent during the same time period.

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.

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.

This statistic depicts the age distribution of India from 2013 to 2023. In 2023, about 25.06 percent of the Indian population fell into the 0-14 year category, 68.02 percent into the 15-64 age group and 6.92 percent were over 65 years of age. Age distribution in India India is one of the largest countries in the world and its population is constantly increasing. India’s society is categorized into a hierarchically organized caste system, encompassing certain rights and values for each caste. Indians are born into a caste, and those belonging to a lower echelon often face discrimination and hardship. The median age (which means that one half of the population is younger and the other one is older) of India’s population has been increasing constantly after a slump in the 1970s, and is expected to increase further over the next few years. However, in international comparison, it is fairly low; in other countries the average inhabitant is about 20 years older. But India seems to be on the rise, not only is it a member of the BRIC states – an association of emerging economies, the other members being Brazil, Russia and China –, life expectancy of Indians has also increased significantly over the past decade, which is an indicator of access to better health care and nutrition. Gender equality is still non-existant in India, even though most Indians believe that the quality of life is about equal for men and women in their country. India is patriarchal and women still often face forced marriages, domestic violence, dowry killings or rape. As of late, India has come to be considered one of the least safe places for women worldwide. Additionally, infanticide and selective abortion of female fetuses attribute to the inequality of women in India. It is believed that this has led to the fact that the vast majority of Indian children aged 0 to 6 years are male.

Population ages 20-24, male (% of male population) in India was reported at 9.1077 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Population ages 20-24, male (% of male population) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

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.

India Population: Census: Female: Age: 20 to 24 Year data was reported at 53,839.529 Person th in 2011. This records an increase from the previous number of 43,443.000 Person th for 2001. India Population: Census: Female: Age: 20 to 24 Year data is updated yearly, averaging 43,443.000 Person th from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 53,839.529 Person th in 2011 and a record low of 36,959.000 Person th in 1991. India Population: Census: Female: Age: 20 to 24 Year data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD001: Census: Population: by Age Group.

India Census: Population: Urban: Female data was reported at 181,616,925.000 Person in 2011. This records an increase from the previous number of 135,565,591.000 Person for 2001. India Census: Population: Urban: Female data is updated yearly, averaging 158,591,258.000 Person from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 181,616,925.000 Person in 2011 and a record low of 135,565,591.000 Person in 2001. India Census: Population: Urban: Female data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB001: Census: Population.

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.

India Census Dataset

This dataset provides comprehensive census data at the district level for India. It includes detailed demographic, religious, educational, and workforce-related attributes, making it a rich resource for socio-economic analysis.

1. Columns and Descriptions

A. Basic Information

District_code: A unique numeric code for each district. State_name: Name of the state to which the district belongs. District_name: Name of the district.

B. Population Data

Population: Total population of the district. Male: Total male population in the district. Female: Total female population in the district.

C. Literacy Data

Literate: Total number of literate individuals in the district.

D. Workforce Data

Workers: Total number of workers in the district. Male_Workers: Total number of male workers in the district. Female_Workers: Total number of female workers in the district. Cultivator_Workers: Number of workers engaged as cultivators. Agricultural_Workers: Number of workers engaged in agricultural labor. Household_Workers: Number of workers engaged in household industries.

E. Religion Data

Hindus: Total number of Hindus in the district. Muslims: Total number of Muslims in the district. Christians: Total number of Christians in the district. Sikhs: Total number of Sikhs in the district. Buddhists: Total number of Buddhists in the district. Jains: Total number of Jains in the district.

F. Education Data

Secondary_Education: Number of individuals with secondary education. Higher_Education: Number of individuals with higher education qualifications. Graduate_Education: Number of individuals with graduate-level education.

G. Age Group Data

Age_Group_0_29: Population in the age group 0–29 years. Age_Group_30_49: Population in the age group 30–49 years. Age_Group_50: Population aged 50 years and above.

2. Key Highlights

Number of Districts: 640 Number of Columns: 25 Non-null Values: All columns are complete with no missing data. Detailed breakdown of population by gender, age group, literacy levels, and workforce distribution. Religious composition and education statistics are also included for each district.

3. Potential Use Cases

Data Analysis and Visualization:

Explore patterns in population distribution, literacy rates, workforce composition, and religious demographics. Machine Learning Applications:

Build predictive models to classify districts or forecast demographic trends. Social Research:

Investigate correlations between education levels, workforce participation, and religion. Policy Planning:

Help policymakers target specific demographics or regions for intervention. Educational Insights:

Analyze the impact of education levels on workforce participation or literacy.

4. Dataset Overview

Total Rows: 640 Total Columns: 25 This dataset provides a unique opportunity to understand India's socio-economic and demographic composition at a granular district level.

India Population: Census: Female: Age: 25 to 29 year data was reported at 50,069.757 Person th in 2011. This records an increase from the previous number of 41,865.000 Person th for 2001. India Population: Census: Female: Age: 25 to 29 year data is updated yearly, averaging 41,865.000 Person th from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 50,069.757 Person th in 2011 and a record low of 34,693.000 Person th in 1991. India Population: Census: Female: Age: 25 to 29 year data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD001: Census: Population: by Age Group.

Dataset include statics of Indian population of male and female state wise.

what are the other fundamentals indicators would be looked at or added to this data set in the future version ?

Let me know it in comments section.

Actual value and historical data chart for India Population Female

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: 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 Population: Census: Female: Age: 30 to 34 Year data was reported at 43,934.277 Person th in 2011. This records an increase from the previous number of 36,912.000 Person th for 2001. India Population: Census: Female: Age: 30 to 34 Year data is updated yearly, averaging 36,912.000 Person th from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 43,934.277 Person th in 2011 and a record low of 28,486.000 Person th in 1991. India Population: Census: Female: Age: 30 to 34 Year data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD001: Census: Population: by Age Group.