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 July of 2025.

In the year 2022, the sex ratio in Delhi, India increased to *** in 2022 from *** in 2001. Sex ratio refers to the number of females per **** males. The increase in sex ratio presents a positive trend towards balancing the male-to-female ratio in the national capital of Delhi.

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.

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 # 60-64 years (9) | Female # 10-14 years (15). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

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.

Sex Ratio at Birth: Female per 1000 Male: Punjab data was reported at 897.000 NA in 2020. This records an increase from the previous number of 891.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Punjab data is updated yearly, averaging 867.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 897.000 NA in 2020 and a record low of 808.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Punjab 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.

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 July of 2025.

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 July of 2025.

Sex Ratio at Birth: Female per 1000 Male: Punjab: Rural data was reported at 874.000 NA in 2020. This stayed constant from the previous number of 874.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Punjab: Rural data is updated yearly, averaging 861.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 878.000 NA in 2018 and a record low of 813.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Punjab: 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.

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.

Sex Ratio at Birth: Female per 1000 Male: Andhra Pradesh data was reported at 926.000 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: Andhra Pradesh data is updated yearly, averaging 917.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 931.000 NA in 2019 and a record low of 913.000 NA in 2016. Sex Ratio at Birth: Female per 1000 Male: Andhra 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.

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 July of 2025.

The total gross enrollment ratio of students from sixth grade to eighth grade across the coastal state of Kerala in India during financial year 2024 was almost 100 percent. Kerala is known to have the highest literacy rates in the country and the high levels of enrollment ratio is an indicator of the same.

In 2024, the sex ratio of the total population in China ranged at approximately ***** males to 100 females. Like most other sexual species, the sex ratio in humans tends to be one to one. But due to factors like sex selective abortions and different life expectancy between men and women, the sex ratio varies in different age groups. Gender imbalance in China China belongs to the countries with a very imbalanced sex ratio at birth. In 2023, the sex ratio in the population aging from 0 to 4 years old ranged at around *** males to 100 females. The high gender inequality can be attributed to the traditional preference for male children in the Chinese society. Although gender identification before birth is not legally allowed in China, selective abortions due to gender preference still exist in many regions of China. The importance of gender equality Gender imbalance can lead to many social problems, like the difficulty of finding a partner. Additionally, a country might also get economic benefits from its gender equality. According to the Global Gender Gap Report which was conducted by the World Economic Forum in 2017, there could be a *** trillion U.S. dollar increase in China’s GDP if the gender gap could be closed. As China’s one-child-policy was officially ended in 2015, the problem of selective abortion due to gender preference is also expected to be alleviated.

The total gross enrollment ratio of students from the pre-primary to second grade across the state of Punjab in India during financial year 2024 was around 80 percent. The enrollment ratio of students from sixth grade to eighth grade was higher among female students compared to male students that year.

About this dataset

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 (41) | Female # 65-69 years (43). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Point population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Point is shown in the following column.
• Population (Female): The female population in the Indian Point 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 Point 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 Point Population by Gender. You can refer the same here

About this dataset

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 (21) | Female # 60-64 years (27). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Beach population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Beach is shown in the following column.
• Population (Female): The female population in the Indian Beach 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 Beach 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 Beach Population by Gender. You can refer the same here

Population, female (% of total population) in India was reported at 48.41 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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.

Sex Ratio at Birth: Female per 1000 Male: West Bengal data was reported at 936.000 NA in 2020. This records a decrease from the previous number of 944.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: West Bengal data is updated yearly, averaging 941.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 952.000 NA in 2014 and a record low of 931.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: West Bengal 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.