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: 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.

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: Delhi: Urban data was reported at 857.000 NA in 2020. This records a decrease from the previous number of 862.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Delhi: Urban data is updated yearly, averaging 871.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 886.000 NA in 2013 and a record low of 841.000 NA in 2018. Sex Ratio at Birth: Female per 1000 Male: Delhi: 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.

About this dataset

Context

The dataset tabulates the population of Indian Lake town 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 town. The dataset can be utilized to understand the population distribution of Indian Lake town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Lake town. 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 town.

Key observations

Largest age group (population): Male # 65-69 years (195) | Female # 80-84 years (94). 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 town 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 town is shown in the following column.
• Population (Female): The female population in the Indian Lake town 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 town 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 town Population by Gender. You can refer the same here

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.

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 # 60-64 years (34) | Female # 55-59 years (26). 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: 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: Delhi data was reported at 860.000 NA in 2020. This records a decrease from the previous number of 865.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Delhi data is updated yearly, averaging 871.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 887.000 NA in 2013 and a record low of 844.000 NA in 2018. Sex Ratio at Birth: Female per 1000 Male: Delhi 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: 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.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (311) | Female # 55-59 years (372). 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 The Village Of Indian Hill population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the The Village Of Indian Hill is shown in the following column.
• Population (Female): The female population in the The Village Of Indian Hill 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 The Village Of Indian Hill 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 The Village Of Indian Hill Population by Gender. You can refer the same here

The graph shows the sex ratio in the age group of 0 to 4 years in China from 2013 to 2023. In 2023, the ratio in that group was more than *** boys to 100 girls. The sex ratio of the total population in China was ****** males to 100 females in 2023.

Sex Ratio at Birth: Female per 1000 Male: Uttarakhand data was reported at 844.000 NA in 2020. This records a decrease from the previous number of 848.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Uttarakhand data is updated yearly, averaging 844.000 NA from Dec 2014 (Median) to 2020, with 7 observations. The data reached an all-time high of 871.000 NA in 2014 and a record low of 840.000 NA in 2018. Sex Ratio at Birth: Female per 1000 Male: Uttarakhand 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 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: Uttarakhand: Urban data was reported at 821.000 NA in 2020. This records an increase from the previous number of 812.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Uttarakhand: Urban data is updated yearly, averaging 821.000 NA from Dec 2014 (Median) to 2020, with 7 observations. The data reached an all-time high of 848.000 NA in 2014 and a record low of 810.000 NA in 2018. Sex Ratio at Birth: Female per 1000 Male: Uttarakhand: 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.

"Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.This dataset includes demographic data of 22 countries from 1960 to 2018, including Sri Lanka, Bangladesh, Pakistan, India, Maldives, etc. Data fields include: country, year, population ratio, male ratio, female ratio, population density (km). Source: ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Reprot ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme. Periodicity: Annual Statistical Concept and Methodology: Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries. In developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. The United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems. International migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect. Population projections, starting from a base year are projected forward using assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant."

In 2024, the gender ratio of the total population in China ranged at approximately ***** males to 100 females. Like most other sexual species, the gender ratio in humans tends to be one to one. But due to factors like gender selective abortions and different life expectancy between men and women, the gender ratio varies in different age groups. Gender imbalance in China China belongs to the countries with a very imbalanced gender ratio at birth. In 2023, the gender 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.

About this dataset

Context

The dataset tabulates the population of Indian Springs 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 Springs Village. The dataset can be utilized to understand the population distribution of Indian Springs Village by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Indian Springs 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 Springs Village.

Key observations

Largest age group (population): Male # 15-19 years (146) | Female # 15-19 years (160). 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 Springs 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 Springs Village is shown in the following column.
• Population (Female): The female population in the Indian Springs 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 Springs 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 Springs Village Population by Gender. You can refer the same here

Sex Ratio at Birth: Female per 1000 Male: Maharashtra: Urban data was reported at 870.000 NA in 2020. This records a decrease from the previous number of 877.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Maharashtra: Urban data is updated yearly, averaging 890.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 917.000 NA in 2012 and a record low of 870.000 NA in 2020. Sex Ratio at Birth: Female per 1000 Male: Maharashtra: 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: Jammu and Kashmir data was reported at 921.000 NA in 2020. This records an increase from the previous number of 918.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Jammu and Kashmir data is updated yearly, averaging 899.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 927.000 NA in 2018 and a record low of 838.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Jammu and Kashmir 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.