In the year 2022, the sex ratio in Delhi, India increased to 929 in 2022 from 809 in 2001. Sex ratio refers to the number of females per 1000 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: 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.

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: 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.

Between 2018 to 2020, India recorded a gender ratio of approximately 907 women to every one thousand men. Rural areas saw a lower gender ratio in comparison, with 907 women for every 1,000 men during the same time period.

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.

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: Rajasthan data was reported at 911.000 NA in 2020. This records an increase from the previous number of 879.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Rajasthan data is updated yearly, averaging 875.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 911.000 NA in 2020 and a record low of 855.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Rajasthan 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.

In the year 2022, over 300,000 births were registered in Delhi. The sex ratio in the city stood at 929 in the year. The number of registered births declined significantly from 2019 to 2021 and was the lowest in 2021 during the recorded period.

Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh data was reported at 958.000 NA in 2020. This records an increase from the previous number of 956.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh data is updated yearly, averaging 969.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 991.000 NA in 2011 and a record low of 956.000 NA in 2019. Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh 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: Maharashtra data was reported at 876.000 NA in 2020. This records a decrease from the previous number of 881.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Maharashtra data is updated yearly, averaging 881.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 902.000 NA in 2013 and a record low of 871.000 NA in 2007. Sex Ratio at Birth: Female per 1000 Male: Maharashtra 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: 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.

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.

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

Sex Ratio at Birth: Female per 1000 Male: West Bengal: Urban data was reported at 920.000 NA in 2020. This records a decrease from the previous number of 928.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: West Bengal: Urban data is updated yearly, averaging 949.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 964.000 NA in 2014 and a record low of 903.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: West Bengal: 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.

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.

The statistic shows the adult mortality rate in India from 2012 to 2022, by gender. According to the source, the adult mortality rate is the probability of dying between the ages of 15 and 60 - that is, the probability of a 15-year-old dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. In 2022, the mortality rate for women was at 176.79 per 1,000 female adults, while the mortality rate for men was at 242.88 per 1,000 male adults in India.

About this dataset

Context

The dataset tabulates the population of Indian Creek by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Indian Creek. The dataset can be utilized to understand the population distribution of Indian Creek by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Creek. 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 Creek.

Key observations

Largest age group (population): Male # 50-54 years (12) | Female # 15-19 years (7). 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 Creek population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Creek is shown in the following column.
• Population (Female): The female population in the Indian Creek 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 Creek 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 Creek Population by Gender. You can refer the same here

About this dataset

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 # 0-4 years (145) | Female # 15-19 years (76). 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 Lake population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Lake is shown in the following column.
• Population (Female): The female population in the Indian Lake 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 Lake 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 Lake Population by Gender. You can refer the same here

Sex Ratio at Birth: Female per 1000 Male: Bihar: Urban data was reported at 897.000 NA in 2020. This records a decrease from the previous number of 902.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Bihar: Urban data is updated yearly, averaging 884.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 902.000 NA in 2019 and a record low of 847.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Bihar: 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.