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Sex ratio at birth (male births per female births) in India was reported at 1.073 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Sex ratio at birth (male births per female births) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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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.
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
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.
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/.
This dataset is a part of the main dataset for Indian Village Population by Race & Ethnicity. You can refer the same here
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School enrollment, primary (gross), gender parity index (GPI) in India was reported at 1.0156 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Ratio of female to male primary enrollment - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Sex Ratio at Birth: Female per 1000 Male: Gujarat data was reported at 877.000 NA in 2020. This records an increase from the previous number of 870.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Gujarat data is updated yearly, averaging 891.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 911.000 NA in 2013 and a record low of 848.000 NA in 2016. Sex Ratio at Birth: Female per 1000 Male: Gujarat 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.
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Literacy rate, youth (ages 15-24), gender parity index (GPI) in India was reported at 1 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Ratio of young literate females to males (% ages 15-24) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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School enrollment, primary and secondary (gross), gender parity index (GPI) in India was reported at 0.99164 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Ratio of girls to boys in primary and secondary education - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Sex Ratio at Birth: Female per 1000 Male: Assam: Rural data was reported at 923.000 NA in 2020. This records a decrease from the previous number of 929.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Assam: Rural data is updated yearly, averaging 924.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 942.000 NA in 2007 and a record low of 898.000 NA in 2016. Sex Ratio at Birth: Female per 1000 Male: Assam: 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.
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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.
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Context
The dataset tabulates the population of Indian Harbour Beach by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Indian Harbour Beach. The dataset can be utilized to understand the population distribution of Indian Harbour Beach by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Harbour Beach. 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 Harbour Beach.
Key observations
Largest age group (population): Male # 65-69 years (432) | Female # 60-64 years (578). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Indian Harbour Beach Population by Gender. You can refer the same here
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.
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Sex Ratio at Birth: Female per 1000 Male: Telangana data was reported at 892.000 NA in 2020. This records a decrease from the previous number of 899.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Telangana data is updated yearly, averaging 899.000 NA from Dec 2016 (Median) to 2020, with 5 observations. The data reached an all-time high of 901.000 NA in 2018 and a record low of 892.000 NA in 2020. Sex Ratio at Birth: Female per 1000 Male: Telangana 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of Indian Beach by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Indian Beach. The dataset can be utilized to understand the population distribution of Indian Beach by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Beach. 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 Beach.
Key observations
Largest age group (population): Male # 70-74 years (22) | Female # 60-64 years (24). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Indian Beach Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of Indian Wells by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Indian Wells. The dataset can be utilized to understand the population distribution of Indian Wells by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Wells. 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 Wells.
Key observations
Largest age group (population): Male # 75-79 years (377) | Female # 70-74 years (384). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Indian Wells Population by Gender. You can refer the same here
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Ratio of female to male labor force participation rate (%) (national estimate) in India was reported at 45.92 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Ratio of female to male labor force participation rate (national estimate) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Context
The dataset tabulates the population of Indian Lake by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Indian Lake. The dataset can be utilized to understand the population distribution of Indian Lake by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Lake. 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 Lake.
Key observations
Largest age group (population): Male # 35-39 years (109) | Female # 15-19 years (111). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Indian Lake Population by Gender. You can refer the same here
Instagram was one of the leading social networks in India, with a far higher male user share compared to female users in January 2024. Out of the total users, the social networking site reported an advertising reach of around 67.2 percent among male users and 32.8 percent among female users. Instagram’s market position Instagram's market share in India's social media landscape has been on the rise, reaching nearly 35 percent in 2024. This growth has solidified Instagram's position as the second-most popular social media platform in the country, trailing only Facebook. This growth is accompanied by robust influencer activity on the platform. Fashion and accessories emerged as the most popular product category among Indian Instagram influencers, with approximately two million posts, highlighting Instagram's role as a hub for lifestyle and consumer-oriented content in India. User demographics The platform's popularity among younger demographics is evident, with millennials and Gen Z forming the majority of influencer audiences. As of 2023, nearly 38 percent of this audience was aged 26 to 32. Moreover, 51 percent of Instagram's user base falls within the 18 to 24 age group. The number of users on the platform is expected to grow further, potentially reaching nearly 400 million by 2028. Despite the changing user demographics, this trend highlights Instagram's significance in India's digital marketing and influencer collaboration landscape.
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.
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Sex Ratio at Birth: Female per 1000 Male: Kerala: Urban data was reported at 975.000 NA in 2020. This records an increase from the previous number of 955.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Kerala: Urban data is updated yearly, averaging 970.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 985.000 NA in 2014 and a record low of 931.000 NA in 2017. Sex Ratio at Birth: Female per 1000 Male: Kerala: 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Indian Point by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Indian Point. The dataset can be utilized to understand the population distribution of Indian Point by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Point. 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 Point.
Key observations
Largest age group (population): Male # 60-64 years (59) | Female # 55-59 years (43). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Indian Point Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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School enrollment, secondary (gross), gender parity index (GPI) in India was reported at 0.96956 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Ratio of female to male secondary enrollment - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sex ratio at birth (male births per female births) in India was reported at 1.073 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Sex ratio at birth (male births per female births) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.