Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.
Africa has the youngest population in the world. Among the 35 countries with the lowest median age worldwide, only three fall outside the continent. In 2023, the median age in Niger was 15.1 years, the youngest country. This means that at this age point, half of the population was younger and half older. A young population reflects several demographic characteristics of a country. For instance, together with a high population growth, life expectancy in Western Africa is low: this reached 57 years for men and 59 for women. Overall, Africa has the lowest life expectancy in the world.
Africa’s population is still growing Africa’s population growth can be linked to a high fertility rate along with a drop in death rates. Despite the fertility rate on the continent, following a constant declining trend, it remains far higher compared to all other regions worldwide. It was forecast to reach 4.12 children per woman, compared to a worldwide average of 2.31 children per woman in 2024. Furthermore, the crude death rate in Africa overall dropped, only increasing slightly during the coronavirus (COVID-19) pandemic. The largest populations on the continent Nigeria, Ethiopia, Egypt, and the Democratic Republic of Congo are the most populous African countries. In 2023, people living in Nigeria amounted to around 224 million, while the number for the three other countries exceeded 100 million each. Of those, the Democratic Republic of Congo sustained the fourth-highest fertility rate in Africa. Nigeria and Ethiopia also had high rates, with 5.24 and 4.16 births per woman, respectively. Although such a high fertility rate is expected to slow down, it will still impact the population structure, growing younger nations.
In 2022, approximately ***** million young people between the ages of 15 to 19 years old lived in the United States. This was a slight increase from the previous year, when ***** million young people aged 15 to 19 lived in the U.S.
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Age dependency ratio, young (% of working-age population) in United States was reported at 26.76 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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France FR: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 29.074 % in 2017. This records a decrease from the previous number of 29.088 % for 2016. France FR: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 30.470 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 42.591 % in 1961 and a record low of 28.258 % in 2006. France FR: Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;
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Context
The dataset tabulates the population of Norwood Young America by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Norwood Young America. The dataset can be utilized to understand the population distribution of Norwood Young America by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Norwood Young America. 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 Norwood Young America.
Key observations
Largest age group (population): Male # 45-49 years (157) | Female # 35-39 years (190). 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:
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
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 Norwood Young America Population by Gender. You can refer the same here
In 2022, the state with the highest median age of its population was Maine at 45.1 years. Utah had the lowest median age at 32.1 years. View the distribution of the U.S. population by ethnicity here.
Additional information on the aging population in the United States
High birth rates during the so-called baby boom years that followed World War II followed by lower fertility and morality rates have left the United States with a serious challenge in the 21st Century. However, the issue of an aging population is certainly not an issue unique to the United States. The age distribution of the global population shows that other parts of the world face a similar issue.
Within the United States, the uneven distribution of populations aged 65 years and over among states offers both major challenges and potential solutions. On the one hand, federal action over the issue may be contentious as other states are set to harbor the costs of elderly care in states such as California and Florida. That said, domestic migration from comparably younger states may help to fill gaps in the workforce left by retirees in others.
Nonetheless, aging population issues are set to gain further prominence in the political and economic decisions made by policymakers regardless of the eventual distribution of America’s elderly. Analysis of the financial concerns of Americans by age shows many young people still decades from retirement hold strong concern over their eventual financial position.
States report information from two reporting populations: (1) The Served Population which is information on all youth receiving at least one independent living services paid or provided by the Chafee Program agency, and (2) Youth completing the NYTD Survey. States survey youth regarding six outcomes: financial self-sufficiency, experience with homelessness, educational attainment, positive connections with adults, high-risk behaviors, and access to health insurance. States collect outcomes information by conducting a survey of youth in foster care on or around their 17th birthday, also referred to as the baseline population. States will track these youth as they age and conduct a new outcome survey on or around the youth's 19th birthday; and again on or around the youth's 21st birthday, also referred to as the follow-up population. States will collect outcomes information on these older youth at ages 19 or 21 regardless of their foster care status or whether they are still receiving independent living services from the State. Depending on the size of the State's foster care youth population, some States may conduct a random sample of the baseline population of the 17-year-olds that participate in the outcomes survey so that they can follow a smaller group of youth as they age. All States will collect and report outcome information on a new baseline population cohort every three years. Units of Response: Current and former youth in foster care Type of Data: Administrative Tribal Data: No Periodicity: Annual Demographic Indicators: Ethnicity;Race;Sex SORN: Not Applicable Data Use Agreement: https://www.ndacan.acf.hhs.gov/datasets/request-dataset.cfm Data Use Agreement Location: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf Granularity: Individual Spatial: United States Geocoding: FIPS Code
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Age dependency ratio, young (% of working-age population) in Argentina was reported at 32.74 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Age dependency ratio, young (% of working-age population) in Niger was reported at 93.07 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Niger - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Context
The dataset tabulates the data for the Round Lake, NY population pyramid, which represents the Round Lake 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 Round Lake Population by Age. You can refer the same here
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Age dependency ratio, young (% of working-age population) in Ivory Coast was reported at 73.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ivory Coast - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Age dependency ratio, young (% of working-age population) in Mozambique was reported at 84.29 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mozambique - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Age dependency ratio, young (% of working-age population) in China was reported at 24.01 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Age dependency ratio, young (% of working-age population) in Brazil was reported at 28.71 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Age dependency ratio, young (% of working-age population) in India was reported at 36.09 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Age dependency ratio, young (% of working-age population) in Cameroon was reported at 74.32 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Cameroon - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Age dependency ratio, young (% of working-age population) in Montenegro was reported at 28.56 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Montenegro - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
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Greenland Age Dependency Ratio: % of Working-Age Population: Young data was reported at 30.116 % in 2023. This records an increase from the previous number of 29.881 % for 2022. Greenland Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 38.402 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 88.043 % in 1966 and a record low of 29.280 % in 2017. Greenland Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;
Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.