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TwitterIn 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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TwitterGlobally, 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.
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Canada CA: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data was reported at 11.735 % in 2023. This records an increase from the previous number of 11.599 % for 2022. Canada CA: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data is updated yearly, averaging 14.127 % from Dec 1976 (Median) to 2023, with 48 observations. The data reached an all-time high of 21.956 % in 1982 and a record low of 11.599 % in 2022. Canada CA: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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Belgium BE: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data was reported at 7.626 % in 2023. This records a decrease from the previous number of 7.869 % for 2022. Belgium BE: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data is updated yearly, averaging 9.590 % from Dec 1983 (Median) to 2023, with 41 observations. The data reached an all-time high of 13.243 % in 2013 and a record low of 5.083 % in 1990. Belgium BE: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belgium – Table BE.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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TwitterThis map symbolizes the relative counts of the youth population (total individuals age 0 - 17) for the City's 12 Data Divisions, aggregating the tract-level estimates from the the Census Bureau's American Community Survey 2018 five-year samples. Please refer to the map's legend for context to the color shading -- darker hues indicate more youth population.If you click on each Data Division, you can view other Census demographic information about that Data Division in addition to the population count.About the Census Data:The data comes from the U.S. Census Bureau's American Community Survey's 2014-2018 five-year samples. The American Community Survey (ACS) is an ongoing survey conducted by the federal government that provides vital information annually about America and its population. Information from the survey generates data that help determine how more than $675 billion in federal and state funds are distributed each year.For more information about the Census Bureau's ACS data and process of constructing the survey, visit the ACS's About page.About the City's Data Divisions:As a planning analytic tool, an interdepartmental working group divided Rochester into 12 “data divisions.” These divisions are well-defined and static so they are positioned to be used by the City of Rochester for statistical and planning purposes. Census data is tied to these divisions and serves as the basis for analyses over time. As such, the data divisions are designed to follow census boundaries, while also recognizing natural and human-made boundaries, such as the River, rail lines, and highways. Historical neighborhood boundaries, while informative in the division process, did not drive the boundaries. Data divisions are distinct from the numerous neighborhoods in Rochester. Neighborhood boundaries, like quadrant boundaries, police precincts, and legislative districts often change, which makes statistical analysis challenging when looking at data over time. The data division boundaries, however, are intended to remain unchanged. It is hoped that over time, all City data analysts will adopt the data divisions for the purpose of measuring change over time throughout the city.
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Germany DE: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data was reported at 7.456 % in 2023. This records an increase from the previous number of 6.798 % for 2022. Germany DE: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data is updated yearly, averaging 8.178 % from Dec 1983 (Median) to 2023, with 41 observations. The data reached an all-time high of 51.978 % in 1995 and a record low of 5.607 % in 2019. Germany DE: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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Burundi BI: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 10.942 % in 2020. This records an increase from the previous number of 5.980 % for 2017. Burundi BI: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 8.461 % from Dec 2006 (Median) to 2020, with 4 observations. The data reached an all-time high of 11.866 % in 2006 and a record low of 4.978 % in 2014. Burundi BI: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Burundi – Table BI.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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TwitterThis statistic shows the development of the number of young people between the ages of 14 to 24 in the United States from 2000 to 2010. In 2010, approximately 47 million young people from that age group lived in the U.S.
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TwitterStates 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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TwitterThis graph shows the resident population projection of young people in the United Kingdom from 2020 to 2050, by age group. There is expected to be an overall growth in the numbers of young people, however certain age groups are expected to fall in number, such as those aged from 25 to 29 and 30 to 34 years.
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This dataset shows the Youth Unemployment as A Proportion of the Youth Population by Sex, 2001 - 2021, Malaysia. Footnote The 2011-2014 statistics was updated based on the years population estimates. Youth refers to population aged 15-24 years old. Source : Department of Statistics, Malaysia No. of Views : 51
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Chile CL: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data was reported at 15.321 % in 2023. This records an increase from the previous number of 14.420 % for 2022. Chile CL: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data is updated yearly, averaging 19.222 % from Dec 1990 (Median) to 2023, with 21 observations. The data reached an all-time high of 28.135 % in 1990 and a record low of 14.420 % in 2022. Chile CL: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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Bangladesh BD: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 19.131 % in 2022. This records a decrease from the previous number of 44.550 % for 2017. Bangladesh BD: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 44.911 % from Dec 2005 (Median) to 2022, with 7 observations. The data reached an all-time high of 58.930 % in 2006 and a record low of 19.131 % in 2022. Bangladesh BD: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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Context
The dataset tabulates the data for the Alexander County, IL population pyramid, which represents the Alexander County 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 Alexander County Population by Age. You can refer the same here
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United States US: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data was reported at 15.630 % in 2012. This records a decrease from the previous number of 16.200 % for 2011. United States US: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data is updated yearly, averaging 16.590 % from Dec 2009 (Median) to 2012, with 4 observations. The data reached an all-time high of 17.330 % in 2010 and a record low of 15.630 % in 2012. United States US: Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;
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Context
The dataset tabulates the data for the Trumbull County, OH population pyramid, which represents the Trumbull County 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 Trumbull County Population by Age. You can refer the same here
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TwitterEmployment-to-population among youth worldwide decreased from 2000 to 2022, with the ratio being at its lowest during the COVID-19 pandemic in 2020. In 2023, 35 percent of the world's youth between 15 and 24 years were employed.
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The dataset tabulates the data for the Grantville, GA population pyramid, which represents the Grantville 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 Grantville Population by Age. You can refer the same here
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Armenia AM: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 25.142 % in 2021. This records a decrease from the previous number of 30.601 % for 2020. Armenia AM: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 38.494 % from Dec 2007 (Median) to 2021, with 15 observations. The data reached an all-time high of 45.271 % in 2010 and a record low of 25.142 % in 2021. Armenia AM: Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Armenia – Table AM.World Bank.WDI: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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TwitterAccording to the source, the youth population is defined as those people aged less than 14 years. In 2021, the share of young individuals among the Italian society was 12.8 percent. Between 2019 and 2021, the percentage of individuals aged up to 14 years decreased constantly in Italy. In the past years, the share of people aged 65 years and older grew steadily.
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TwitterIn 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.