This statistic depicts the age distribution of India from 2013 to 2023. In 2023, about 25.06 percent of the Indian population fell into the 0-14 year category, 68.02 percent into the 15-64 age group and 6.92 percent were over 65 years of age. Age distribution in India India is one of the largest countries in the world and its population is constantly increasing. India’s society is categorized into a hierarchically organized caste system, encompassing certain rights and values for each caste. Indians are born into a caste, and those belonging to a lower echelon often face discrimination and hardship. The median age (which means that one half of the population is younger and the other one is older) of India’s population has been increasing constantly after a slump in the 1970s, and is expected to increase further over the next few years. However, in international comparison, it is fairly low; in other countries the average inhabitant is about 20 years older. But India seems to be on the rise, not only is it a member of the BRIC states – an association of emerging economies, the other members being Brazil, Russia and China –, life expectancy of Indians has also increased significantly over the past decade, which is an indicator of access to better health care and nutrition. Gender equality is still non-existant in India, even though most Indians believe that the quality of life is about equal for men and women in their country. India is patriarchal and women still often face forced marriages, domestic violence, dowry killings or rape. As of late, India has come to be considered one of the least safe places for women worldwide. Additionally, infanticide and selective abortion of female fetuses attribute to the inequality of women in India. It is believed that this has led to the fact that the vast majority of Indian children aged 0 to 6 years are male.
The growth in India's overall population is driven by its young population. Nearly 70 percent of the country's population was between the ages of 15 and 64 years old in 2020. With over 600 million people between 18 and 35 years old, India had the largest number of millennials and Gen Zs globally.
The median age in India was 27 years old in 2020, meaning half the population was older than that, half younger. This figure was lowest in 1970, at 18.1 years, and was projected to increase to 47.8 years old by 2100. Aging in India India has the second largest population in the world, after China. Because of the significant population growth of the past years, the age distribution remains skewed in favor of the younger age bracket. This tells a story of rapid population growth, but also of a lower life expectancy. Economic effects of a young population Many young people means that the Indian economy must support a large number of students, who demand education from the economy but cannot yet work. Educating the future workforce will be important, because the economy is growing as well and is one of the largest in the world. Failing to do this could lead to high youth unemployment and political consequences. However, a productive and young workforce could provide huge economic returns for India.
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This dataset contains the All-India, gender and age-group wise distribution of population for each census year.
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Context
The dataset tabulates the data for the Indian Wells, CA population pyramid, which represents the Indian Wells population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Indian Wells Population by Age. You can refer the same here
The percentage distribution for population projections for the age groups 0 to 4 reflected a decrease in the year 2036 in comparison to 2011. This could be attributed to the projected declining fertility rates in the country. By contrast, the age groups from 40-44 to 80+ reflected an increase in the population projections in 2036 when compared with 2011. This projected increase in geriatric population within the country could be attributed to advancements made in the field of medical sciences, biotechnology and improved health care.
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India Projection: Population: 10 Years: Age: Less than 10 data was reported at 253,425,446.000 Person in 2031. This records an increase from the previous number of 243,281,823.000 Person for 2021. India Projection: Population: 10 Years: Age: Less than 10 data is updated yearly, averaging 248,353,634.500 Person from Mar 2021 (Median) to 2031, with 2 observations. The data reached an all-time high of 253,425,446.000 Person in 2031 and a record low of 243,281,823.000 Person in 2021. India Projection: Population: 10 Years: Age: Less than 10 data remains active status in CEIC and is reported by CEIC Data. The data is categorized under India Premium Database’s Demographic – Table IN.GAI002: Population Projection: 10 Years: by Age Group.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Indian Lake, New York population pyramid, which represents the Indian Lake town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Indian Lake town Population by Age. You can refer the same here
This feature layers contain demographics about age, gender, education, employment, assets & amenities as reported by Office of the Registrar General & Census Commissioner, India in the Census 2011. These attributes cover topics such as male and female population counts by age, literacy, occupation, and household characteristics.Census of India counts every resident in India at village level. It is mandated by The Census Act 1948 of the Constitution and takes place every 10 years.Other demographics layers are also available:State DemographicsDistrict DemographicsSub-district DemographicsVillage DemographicsCombined DemographicsEach layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas.Data source: Explore Census DataAdmin boundary source (country, states, and districts): Survey of India, 2020For more information: 2011 Census Demographic ProfileFor feedback please contact: content@esri.inData Processing notes:Country, State and District boundaries are simplified representations offered from the Survey of India database.Sub-districts and village boundaries are developed based on the census provided maps.Field names and aliases are processed by Esri India as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document.Disclaimer:The boundaries may not be perfectly align with AGOL imagery. The Census PDF maps are georeferenced using Survey of India boundaries and notice alignment issues with AGOL Imagery/ Maps. 33k villages are marked as point location on Census PDFs either because of low scale maps where small villages could not have been drawn or digitization has not been completed. These villages are marked as 100m circular polygons in the data.This web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.
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License information was derived automatically
India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data was reported at 91.700 NA in 2016. This records an increase from the previous number of 77.600 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data is updated yearly, averaging 69.800 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 91.700 NA in 2016 and a record low of 63.900 NA in 2013. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 30-34 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.
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License information was derived automatically
Context
The dataset tabulates the Indian Creek population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Indian Creek. The dataset can be utilized to understand the population distribution of Indian Creek by age. For example, using this dataset, we can identify the largest age group in Indian Creek.
Key observations
The largest age group in Indian Creek, FL was for the group of age 50 to 54 years years with a population of 16 (29.09%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Indian Creek, FL was the 10 to 14 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Indian Creek Population by Age. You can refer the same here
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This dataset contains the all-India and decade-wise population distribution by broad age groups. Three broad age groups are categorized here: 0-14; 15-59 and Above 60.
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License information was derived automatically
Chart and table of India population from 1950 to 2025. United Nations projections are also included through the year 2100.
While Indians between 12 and 34 years dominated internet use from 2013 to 2019 with about 65 percent of the total market, this was projected to change by 2025. Between 2019 and 2025, it was estimated that age group 35 years and older would make up 66 percent of internet usage in India.
Gender and internet
Among the total internet users in the country, it was found that around 70 percent users were male and only about 30 percent were female users. While this was expected to change to 60 percent male users and 40 percent female users by 2020, it still showed a gender gap of internet accessibility in the south-Asian country. While several factors lead to this digital gender gap, economic and socio-cultural barriers stand out as the most compelling reasons.
Older Indians part of digitalization
The median age of India’s population was around 27 years in 2015, echoing the range of the country’s majority internet user base. The estimated shift, however, in the years to come would be the successful efforts towards digitalizing India. If done right, this would propel older adults to adopt and master new media technologies in their daily activities beyond social media and communication, including the use of financial services.
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India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data was reported at 152.300 NA in 2016. This records a decrease from the previous number of 192.700 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data is updated yearly, averaging 210.600 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 218.500 NA in 2010 and a record low of 152.300 NA in 2016. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Rural: 20-24 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.
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License information was derived automatically
India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data was reported at 2.500 NA in 2016. This records a decrease from the previous number of 2.800 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data is updated yearly, averaging 1.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 2.800 NA in 2015 and a record low of 0.800 NA in 2012. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 45-49 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data was reported at 76.500 NA in 2016. This records an increase from the previous number of 63.600 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data is updated yearly, averaging 58.800 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 76.500 NA in 2016 and a record low of 55.600 NA in 2012. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: Urban: 30-34 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 15-19 data was reported at 10.700 NA in 2016. This records a decrease from the previous number of 11.100 NA for 2015. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 15-19 data is updated yearly, averaging 28.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 37.200 NA in 2010 and a record low of 10.700 NA in 2016. India Vital Statistics: Age Specific Fertility Rates: per 1000 Female Population: Age: 15-19 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH007: Vital Statistics: Age Specific Fertility Rate: by Age Group.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Indian Lake town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Indian Lake town. The dataset can be utilized to understand the population distribution of Indian Lake town by age. For example, using this dataset, we can identify the largest age group in Indian Lake town.
Key observations
The largest age group in Indian Lake, New York was for the group of age 65 to 69 years years with a population of 223 (18.19%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Indian Lake, New York was the 25 to 29 years years with a population of 14 (1.14%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Indian Lake town Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Indian Lake population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Indian Lake. The dataset can be utilized to understand the population distribution of Indian Lake by age. For example, using this dataset, we can identify the largest age group in Indian Lake.
Key observations
The largest age group in Indian Lake, PA was for the group of age 60 to 64 years years with a population of 61 (17.84%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Indian Lake, PA was the 40 to 44 years years with a population of 1 (0.29%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Indian Lake Population by Age. You can refer the same here
This statistic depicts the age distribution of India from 2013 to 2023. In 2023, about 25.06 percent of the Indian population fell into the 0-14 year category, 68.02 percent into the 15-64 age group and 6.92 percent were over 65 years of age. Age distribution in India India is one of the largest countries in the world and its population is constantly increasing. India’s society is categorized into a hierarchically organized caste system, encompassing certain rights and values for each caste. Indians are born into a caste, and those belonging to a lower echelon often face discrimination and hardship. The median age (which means that one half of the population is younger and the other one is older) of India’s population has been increasing constantly after a slump in the 1970s, and is expected to increase further over the next few years. However, in international comparison, it is fairly low; in other countries the average inhabitant is about 20 years older. But India seems to be on the rise, not only is it a member of the BRIC states – an association of emerging economies, the other members being Brazil, Russia and China –, life expectancy of Indians has also increased significantly over the past decade, which is an indicator of access to better health care and nutrition. Gender equality is still non-existant in India, even though most Indians believe that the quality of life is about equal for men and women in their country. India is patriarchal and women still often face forced marriages, domestic violence, dowry killings or rape. As of late, India has come to be considered one of the least safe places for women worldwide. Additionally, infanticide and selective abortion of female fetuses attribute to the inequality of women in India. It is believed that this has led to the fact that the vast majority of Indian children aged 0 to 6 years are male.