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.

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.

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.

Actual value and historical data chart for India Sex Ratio At Birth Male Births Per Female Births

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 # 40-44 years (13) | Female # 10-14 years (23). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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: 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.

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.

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.

This data contains all the essential data in the form of % with respect to rural and urban Indian states . This dataset is highly accurate as this is taken from the Indian govt. it is updated till 2021 for all states and union territories. source of data is data.gov.in titled - ******All India and State/UT-wise Factsheets of National Family Health Survey******

it is advised to you pls search the data keywords you need by using (Ctrl+f) , as it will help to avoid time wastage. States/UTs

Different columns it contains are Area

Number of Households surveyed Number of Women age 15-49 years interviewed Number of Men age 15-54 years interviewed

Female population age 6 years and above who ever attended school (%)

Population below age 15 years (%)

Sex ratio of the total population (females per 1,000 males)

Sex ratio at birth for children born in the last five years (females per 1,000 males)

Children under age 5 years whose birth was registered with the civil authority (%)

Deaths in the last 3 years registered with the civil authority (%)

Population living in households with electricity (%)

Population living in households with an improved drinking-water source1 (%)

Population living in households that use an improved sanitation facility2 (%)

Households using clean fuel for cooking3 (%) Households using iodized salt (%)

Households with any usual member covered under a health insurance/financing scheme (%)

Children age 5 years who attended pre-primary school during the school year 2019-20 (%)

Women (age 15-49) who are literate4 (%)

Men (age 15-49) who are literate4 (%)

Women (age 15-49) with 10 or more years of schooling (%)

Men (age 15-49) with 10 or more years of schooling (%)

Women (age 15-49) who have ever used the internet (%)

Men (age 15-49) who have ever used the internet (%)

Women age 20-24 years married before age 18 years (%)

Men age 25-29 years married before age 21 years (%)

Total Fertility Rate (number of children per woman) Women age 15-19 years who were already mothers or pregnant at the time of the survey (%)

Adolescent fertility rate for women age 15-19 years5 Neonatal mortality rate (per 1000 live births)

Infant mortality rate (per 1000 live births) Under-five mortality rate (per 1000 live births)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Any method6 (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Any modern method6 (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Female sterilization (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Male sterilization (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - IUD/PPIUD (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Pill (%)  

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Condom (%)

Current Use of Family Planning Methods (Currently Married Women Age 15-49 years) - Injectables (%)

Total Unmet need for Family Planning (Currently Married Women Age 15-49 years)7 (%)

Unmet need for spacing (Currently Married Women Age 15-49 years)7 (%)

Health worker ever talked to female non-users about family planning (%)

Current users ever told about side effects of current method of family planning8 (%)

Mothers who had an antenatal check-up in the first trimester (for last birth in the 5 years before the survey) (%)

Mothers who had at least 4 antenatal care visits (for last birth in the 5 years before the survey) (%)

Mothers whose last birth was protected against neonatal tetanus (for last birth in the 5 years before the survey)9 (%)

Mothers who consumed iron folic acid for 100 days or more when they were pregnant (for last birth in the 5 years before the survey) (%)

Mothers who consumed iron folic acid for 180 days or more when they were pregnant (for last birth in the 5 years before the survey} (%)

Registered pregnancies for which the mother received a Mother and Child Protection (MCP) card (for last birth in the 5 years before the survey) (%)

Mothers who received postnatal care from a doctor/nurse/LHV/ANM/midwife/other health personnel within 2 days of delivery (for last birth in the 5 years before the survey) (%)

Average out-of-pocket expenditure per delivery in a public health facility (for last birth in the 5 years before the survey) (Rs.)

Children born at home who were taken to a health facility for a check-up within 24 hours of birth (for last birth in the 5 years before the survey} (%)

Children who received postnatal care from a doctor/nurse/LHV/ANM/midwife/ other health personnel within 2 days of delivery (for last birth in the 5 years before the survey) (%)

Institutional births (in the 5...

Sex Ratio at Birth: Female per 1000 Male: Tamil Nadu data was reported at 917.000 NA in 2020. This records an increase from the previous number of 915.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Tamil Nadu data is updated yearly, averaging 926.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 955.000 NA in 2006 and a record low of 907.000 NA in 2017. Sex Ratio at Birth: Female per 1000 Male: Tamil Nadu 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 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 (141) | Female # 15-19 years (152). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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

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 (234) | Female # 65-69 years (60). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (306) | Female # 45-49 years (250). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Head population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Head is shown in the following column.
• Population (Female): The female population in the Indian Head 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 Head 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 Head Population by Gender. You can refer the same here

Sex Ratio at Birth: Female per 1000 Male: Karnataka: Rural data was reported at 942.000 NA in 2020. This records an increase from the previous number of 941.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Karnataka: Rural data is updated yearly, averaging 948.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 967.000 NA in 2015 and a record low of 908.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Karnataka: 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.

In 2021, the projected old age dependency rate was around 15.7 percent. And it was expected to reach 20.1 percent in 2031. The old age dependency ratio in India is seeing a gradual rise since the past few years. Projections reflect a steep rise in old age dependency from 2021 to 2031.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 50-54 years (196) | Female # 70-74 years (246). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Head Park population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Indian Head Park is shown in the following column.
• Population (Female): The female population in the Indian Head Park 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 Head Park 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 Head Park Population by Gender. You can refer the same here

Sex Ratio at Birth: Female per 1000 Male: Kerala data was reported at 974.000 NA in 2020. This records an increase from the previous number of 968.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Kerala data is updated yearly, averaging 966.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 974.000 NA in 2020 and a record low of 922.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Kerala 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.

This dataset contains the number of females per 100 males, i.e. gender ratio, for the elderly population and general population.

NFHS-5 (2019-21)

The National Family & Health Survey (NFHS) is a survey in India that attempts to collect information on health conditions, nutrition, family planning, domestic violence, and a host of other factors through conducting surveys on a random ("representative") sample of Indian households in all states. The fifth NFHS was conducted through 2019-21, and the reports were released to the public in 2021 and can be found at this link. The original data was released as PDFs; this Kaggle dataset was created by extracting the tabular data from PDFs into JSONs.

What kind of information is collected in this survey?

Here's a non-comprehensive list of some indicators collected by this survey:

1. Female population age 6 years and above who ever attended school (%)
2. Women age 20-24 years married before age 18 years (%)
3. Institutional births in public facility (%)
4. Children with diarrhoea in the 2 weeks preceding the survey who received oral rehydration salts (ORS) (%)
5. Blood sugar level - high or very high (>140 mg/dl) or taking medicine to control blood sugar level (%)
6. Women age 15 years and above who use any kind of tobacco (%)

Major news outlets in India analysed the results of the study too - here are some interesting articles that show what sorts of "stories" or insights you van look for in this data:

• 50% women, kids in 14 states and UTs are anaemic: National Family Health Survey
• Latest Family Health Survey Proves Prohibition Has Not Worked In Bihar, Alcohol Consumption Is Rife
• Sex Ratio In India Was Estimated As 1,020 By National Family Health Survey During 2019 to 2021, Says MoS Health Dr Bharati Pravin Pawar
• A close reading of the NFHS-5, the health of India
• What the latest NFHS data says about the New Welfarism
• More hospital births, but limited gains in childhood nutrition: National Family Health Survey-5

Note: I used a Python script to parse the data automatically. I tried my best to make sure the data was parsed correctly, but there is a possibility that some data in JSON might not be 100% accurate - there is no way I could have manually verified all 704 PDF files and their outputs, so I randomly sampled and verified a couple of files, all of which looked okay. If you want to see the scripts used to parse this PDFs, please visit my GitHub repo.

Dataset cover photo by Naveed Ahmed on Unsplash.com

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.