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.

The statistic shows the development in the percentage of the United States population made up of 14 to 24 year olds between 2000 and 2010. In 2010, approximately 15.2 percent of American citizens were ages between 14 and 24.

United States US: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data was reported at 16.490 % in 2012. This records a decrease from the previous number of 17.130 % for 2011. United States US: Share of Youth Not in Education, Employment or Training: Total: % of Youth Population data is updated yearly, averaging 17.290 % from Dec 2009 (Median) to 2012, with 4 observations. The data reached an all-time high of 17.640 % in 2010 and a record low of 16.490 % in 2012. United States US: 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 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;

Share of youth not in education, employment or training, total (% of youth population) in United States was reported at 11.19 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Share of youth not in education, employment or training, total - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

In 2021, children between the ages of zero and 17 years old made up 22.2 percent of the total population in the United States. This is down from a peak in 1960, where children made up 36 percent of the total population in the country.

In the United States in 2023, **** percent of the unaccompanied homeless youth in the Watsonville/Santa Cruz City and County, California were unsheltered.

This statistic shows the leading metropolitan areas with the highest percentage of population aged under 18 years in the United States in 2019. In 2019, Provo-Orem, Utah was ranked first with **** percent of its population being under 18 years old.

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.

This map shows population under 18 in the United States as a percent of total population and by total youth population. The color shows the percentage value of youth, and the size of the symbols represents the total amount of youth population. The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

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.

In 2021, there were about **** million children under the age of 18 years old in California -- the most out of any state. In that same year, Texas, Florida, New York, and Illinois rounded out the top five states with the most children under 18.

About this dataset

Context

The dataset tabulates the data for the Maryland population pyramid, which represents the Maryland 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Maryland, is 28.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Maryland, is 24.9.
• Total dependency ratio for Maryland is 53.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Maryland is 4.0.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Variables / Data Columns

• Age Group: This column displays the age group for the Maryland population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Maryland for the selected age group is shown in the following column.
• Population (Female): The female population in the Maryland for the selected age group is shown in the following column.
• Total Population: The total population of the Maryland for the selected age group is shown in the following column.

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 Maryland Population by Age. You can refer the same here

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

About this dataset

Context

The dataset tabulates the data for the Roseville, MN population pyramid, which represents the Roseville 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Roseville, MN, is 25.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Roseville, MN, is 35.7.
• Total dependency ratio for Roseville, MN is 61.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Roseville, MN is 2.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Variables / Data Columns

• Age Group: This column displays the age group for the Roseville population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Roseville for the selected age group is shown in the following column.
• Population (Female): The female population in the Roseville for the selected age group is shown in the following column.
• Total Population: The total population of the Roseville for the selected age group is shown in the following column.

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 Roseville Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the Burlington, IA population pyramid, which represents the Burlington 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Burlington, IA, is 27.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Burlington, IA, is 36.4.
• Total dependency ratio for Burlington, IA is 64.2.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Burlington, IA is 2.7.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Variables / Data Columns

• Age Group: This column displays the age group for the Burlington population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Burlington for the selected age group is shown in the following column.
• Population (Female): The female population in the Burlington for the selected age group is shown in the following column.
• Total Population: The total population of the Burlington for the selected age group is shown in the following column.

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 Burlington Population by Age. You can refer the same here

Title VI of the Civil Rights Act and the Executive Order on Environmental Justice (#12898) do not provide specific guidance to evaluate EJ issues within a region's transportation planning process. Therefore, MPOs must devise their own methods for ensuring that EJ issues are investigated and evaluated in transportation decision-making. In 2001, DVRPC developed an EJ technical assessment to identify direct and disparate impacts of its plans, programs, and planning process on defined population groups in the Delaware Valley region. This assessment, called the Indicators of Potential Disadvantage Methodology, is utilized in a variety of DVRPC plans and programs. DVRPC currently assesses the following population groups, defined by the U.S. Census Bureau:

Youth

Older Adults

Female

Racial Minority

Ethnic Minority

Foreign-Born

Disabled

Limited English Proficiency

Low-Income Census tables used to gather data from the 2017-2021 American Community Survey 5-Year Estimates Using U.S. Census American Community Survey data, the population groups listed above are identified and located at the census tract level. Data is gathered at the regional level, combining populations from each of the nine counties, for either individuals or households, depending on the indicator. From there, the total number of persons in each demographic group is divided by the appropriate universe (either population or households) for the nine-county region, providing a regional average for that population group. Any census tract that meets or exceeds the regional average level, or threshold, is considered an EJ-sensitive tract for that group. Census tables used to gather data from the 2017-2021 American Community Survey 5-Year Estimates. For more information and for methodology, visit DVRPC's website: https://www.dvrpc.org/GetInvolved/TitleVI/ For technical documentation visit DVRPC's GitHub IPD repo: https://github.com/dvrpc/ipd Source of tract boundaries: US Census Bureau. The TIGER/Line Files Note: Tracts with null values should be symbolized as "Insufficient or No Data". Data Dictionary for Attributes: (Source = DVRPC indicates a calculated field) Field Alias Description Source geoid20 GEOID20 Census tract identifier (text) Census statefp20 State FIPS FIPS Code for State Census countyfp20 County FIPS FIPS Code for County Census name20 Tract Number Tract Number Census d_class Disabled Classification Classification of tract's disabled percentage as: well below average, below average, average, above average, or well above average DVRPC d_cntest Disabled Count Estimate Estimated count of disabled population Census d_cntmoe Disabled Count MOE Margin of error for estimated count of disabled population Census d_pctest Disabled Percentage Estimate Estimated percentage of disabled population DVRPC d_pctile Disabled Percentile Tract's regional percentile for percentage disabled DVRPC d_pctmoe Disabled Percentage MOE Margin of error for percentage of disabled population DVRPC d_score Disabled Score Corresponding numeric score for tract's disabled classification: 0, 1, 2, 3, 4 DVRPC em_class Ethnic Minority Classification Classification of tract's Hispanic/Latino percentage as: well below average, below average, average, above average, or well above average DVRPC em_cntest Ethnic Minority Count Estimate Estimated count of Hispanic/Latino population Census em_cntmoe Ethnic Minority Count MOE Margin of error for estimated count of Hispanic/Latino population Census em_pctest Ethnic Minority Percentage Estimate Estimated percentage of Hispanic/Latino population DVRPC em_pctile Ethnic Minority Percentile Tract's regional percentile for percentage Hispanic/Latino DVRPC em_pctmoe Ethnic Minority Percentage MOE Margin of error for percentage of Hispanic/Latino population DVRPC em_score Ethnic Minority Score Corresponding numeric score for tract's Hispanic/Latino classification: 0, 1, 2, 3, 4 DVRPC f_class Female Classification Classification of tract's female percentage as: well below average, below average, average, above average, or well above average DVRPC f_cntest Female Count Estimate Estimated count of female population Census f_cntmoe Female Count MOE Margin of error for estimated count of female population Census f_pctest Female Percentage Estimate Estimated percentage of female population DVRPC f_pctile Female Percentile Tract's regional percentile for percentage female DVRPC f_pctmoe Female Percentage MOE Margin of error for percentage of female population DVRPC f_score Female Score Corresponding numeric score for tract's female classification: 0, 1, 2, 3, 4 DVRPC fb_class Foreign Born Classification Classification of tract's foreign born percentage as: well below average, below average, average, above average, or well above average DVRPC fb_cntest Foreign Born Count Estimate Estimated count of foreign born population Census fb_cntmoe Foreign Born Count MOE Margin of error for estimated count of foreign born population Census fb_pctest Foreign Born Percentage Estimate Estimated percentage of foreign born population DVRPC fb_pctile Foreign Born Percentile Tract's regional percentile for percentage foreign born DVRPC fb_pctmoe Foreign Born Percentage MOE Margin of error for percentage of foreign born population DVRPC fb_score Foreign Born Score Corresponding numeric score for tract's foreign born classification: 0, 1, 2, 3, 4 DVRPC lep_class Limited English Proficiency Count Estimate Estimated count of limited english proficiency population Census lep_cntest Limited English Proficiency Count MOE Margin of error for estimated count of limited english proficiency population Census lep_cntmoe Limited English Proficiency Percentage Estimate Estimated percentage of limited english proficiency population DVRPC lep_pctest Limited English Proficiency Percentage MOE Margin of error for percentage of limited english proficiency population DVRPC lep_pctile Limited English Proficiency Percentile Tract's regional percentile for percentage limited english proficiency DVRPC lep_pctmoe Limited English Proficiency Classification Classification of tract's limited english proficiency percentage as: well below average, below average, average, above average, or well above average DVRPC lep_score Limited English Proficiency Score Corresponding numeric score for tract's limited english proficiency classification: 0, 1, 2, 3, 4 DVRPC li_class Low Income Classification Classification of tract's low income percentage as: well below average, below average, average, above average, or well above average DVRPC li_cntest Low Income Count Estimate Estimated count of low income (below 200% of poverty level) population Census li_cntmoe Low Income Count MOE Margin of error for estimated count of low income population Census li_pctest Low Income Percentage Estimate Estimated percentage of low income (below 200% of poverty level) population DVRPC li_pctile Low Income Percentile Tract's regional percentile for percentage low income DVRPC li_pctmoe Low Income Percentage MOE Margin of error for percentage of low income population DVRPC li_score Low Income Score Corresponding numeric score for tract's low income classification: 0, 1, 2, 3, 4 DVRPC oa_class Older Adult Classification Classification of tract's older adult percentage as: well below average, below average, average, above average, or well above average DVRPC oa_cntest Older Adult Count Estimate Estimated count of older adult population (65 years or older) Census oa_cntmoe Older Adult Count MOE Margin of error for estimated count of older adult population Census oa_pctest Older Adult Percentage Estimate Estimated percentage of older adult population (65 years or older) DVRPC oa_pctile Older Adult Percentile Tract's regional percentile for percentage older adult DVRPC oa_pctmoe Older Adult Percentage MOE Margin of error for percentage of older adult population DVRPC oa_score Older Adult Score Corresponding numeric score for tract's older adult classification: 0, 1, 2, 3, 4 DVRPC rm_class Racial Minority Classification Classification of tract's non-white percentage as: well below average, below average, average, above average, or well above average DVRPC rm_cntest Racial Minority Count Estimate Estimated count of non-white population DVRPC rm_cntmoe Racial Minority Count MOE Margin of error for estimated count of non-white population DVRPC rm_pctest Racial Minority Percentage Estimate Estimated percentage of non-white population DVRPC rm_pctile Racial Minority Percentile Tract's regional percentile for percentage non-white DVRPC rm_pctmoe Racial Minority Percentage MOE Margin of error for percentage of non-white population DVRPC rm_score Racial Minority Score Corresponding numeric score for tract's non-white classification: 0, 1, 2, 3, 4 DVRPC y_class Youth Classification Classification of tract's youth percentage as: well below average, below average, average, above average, or well above average DVRPC y_cntest Youth Count Estimate Estimated count of youth population (under 18 years) Census y_cntmoe Youth Count MOE Margin of error for estimated count of youth population Census y_pctest Youth Percentage Estimate Estimated percentage of youth population (under 18 years) DVRPC y_pctile Youth Percentile Tract's regional percentile for percentage youth DVRPC y_pctmoe Youth Percentage MOE Margin of error for percentage of youth population DVRPC y_score Youth Score Corresponding numeric score for tract's youth classification: 0, 1, 2, 3, 4 DVRPC ipd_score Composite Score Overall score adding the classification scores across all nine variables DVRPC u_tpopest Total Population Estimate Estimated total population of tract (universe [or denominator] for youth, older adult, female, racial minoriry, ethnic minority, & foreign born) Census u_tpopmoe Total Population MOE Margin of error for estimated total population of tract Census u_pop6est Population 6+ Estimated population over five years of age (universe [or

In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

About this dataset

Context

The dataset tabulates the data for the Fountain City, WI population pyramid, which represents the Fountain City 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Fountain City, WI, is 16.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Fountain City, WI, is 50.0.
• Total dependency ratio for Fountain City, WI is 66.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Fountain City, WI is 2.0.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Variables / Data Columns

• Age Group: This column displays the age group for the Fountain City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fountain City for the selected age group is shown in the following column.
• Population (Female): The female population in the Fountain City for the selected age group is shown in the following column.
• Total Population: The total population of the Fountain City for the selected age group is shown in the following column.

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 Fountain City Population by Age. You can refer the same here

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the number and percentages of opportunity to youth by US Congress in the Atlanta region.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

Suffixes:

None

Change over two periods

_e

Estimate from most recent ACS

_m

Margin of Error from most recent ACS

_00

Decennial 2000

Attributes:

SumLevel

Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

GEOID

Census tract Federal Information Processing Series (FIPS) code

NAME

Name of geographic unit

Planning_Region

Planning region designation for ARC purposes

Acres

Total area within the tract (in acres)

SqMi

Total area within the tract (in square miles)

County

County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

CountyName

County Name

PopAges1619_e

# Population, ages 16-19, 2017

PopAges1619_m

# Population, ages 16-19, 2017 (MOE)

DisconYouth_e

# Disconnected youth: ages 16-19 not in school or in labor force, 2017

DisconYouth_m

# Disconnected youth: ages 16-19 not in school or in labor force, 2017 (MOE)

pDisconYouth_e

% Disconnected youth: ages 16-19 not in school or in labor force, 2017

pDisconYouth_m

% Disconnected youth: ages 16-19 not in school or in labor force, 2017 (MOE)

OwnChildInFam_e

# Own children in families, 2017

OwnChildInFam_m

# Own children in families, 2017 (MOE)

NoParentLabForce_e

# Own children in families with no parent in the labor force, 2017

NoParentLabForce_m

# Own children in families with no parent in the labor force, 2017 (MOE)

pNoParentLabForce_e

% Own children in families with no parent in the labor force, 2017

pNoParentLabForce_m

% Own children in families with no parent in the labor force, 2017 (MOE)

last_edited_date

Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.

About this dataset

Context

The dataset tabulates the data for the Downers Grove, IL population pyramid, which represents the Downers Grove 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Downers Grove, IL, is 29.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Downers Grove, IL, is 31.6.
• Total dependency ratio for Downers Grove, IL is 60.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Downers Grove, IL is 3.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Variables / Data Columns

• Age Group: This column displays the age group for the Downers Grove population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Downers Grove for the selected age group is shown in the following column.
• Population (Female): The female population in the Downers Grove for the selected age group is shown in the following column.
• Total Population: The total population of the Downers Grove for the selected age group is shown in the following column.

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 Downers Grove Population by Age. You can refer the same here