In 2022, around 20.3 percent of teenagers between ages 16 and 19 were employees while enrolled at school in the United States. This is an increase from the previous year, when 19.4 percent of teenagers were working while in school.

In the United States, more teenage girls tend to be employed while in school than teenage boys. In 2021, about 21.7 percent of young women ages 16 to 19 were enrolled in school and employed. In comparison, about 17.2 percent of young men ages 16 to 19 were enrolled in school and employed in the same year.

Graph and download economic data for Labor Force Participation Rate - 16-19 Yrs. (LNS11300012) from Jan 1948 to Aug 2025 about 16 to 19 years, participation, labor force, labor, household survey, rate, and USA.

This is the monthly data for U.S. employment and unemployment by state including some numbers for Puerto Rico. This dataset was accessed on April 7th 2008. The data for February 2008 are preliminary. The data presented are seasonally adjusted although the unadjusted numbers are also available. Unavailable data are represented as -1. The dataset is taken from Tables 3 and 5 from the United States Department of Labor, Bureau of Labor Statistics. It includes the civilian labor force, the unemployed in numbers and percentages, and employment by industry. Data from table 3 "refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area definitions are based on Office of Management and Budget Bulletin No. 08-01, dated November 20, 2007, and are available at http://www.bls.gov/lau/lausmsa.htm. Estimates for the latest month are subject to revision the following month". Data from table 5 "are counts of jobs by place of work. Estimates are currently projected from 2007 benchmark levels. Estimates subsequent to the current benchmarks are provisional and will be revised when new information becomes available. Data reflect the conversion to the 2007 version of the North American Industry Classification System (NAICS) as the basis for the assignment and tabulation of economic data by industry, replacing NAICS 2002. For more details, see http://www.bls.gov/sae/saenaics07.htm.

Percent of Children Living in Families Where No Parent Has Full-Time, Year-Round Employment is the share of all children under age 18 living in families where no parent has regular, full-time employment. For children living in single-parent families, this means that the resident parent did not work at least 35 hours per week, at least 50 weeks in the 12 months prior to the survey. For children living in married-couple families, this means that neither parent worked at least 35 hours per week, at least 50 weeks in the 12 months prior to the survey. Children living with neither parent also were listed as not having secure parental employment because those chil- dren are likely to be economically vulnerable. SOURCE: * U.S. Census Bureau, American Community Survey.

Graph and download economic data for Employment-Population Ratio - 16-19 Yrs. (LNS12300012) from Jan 1948 to Aug 2025 about 16 to 19 years, employment-population ratio, household survey, population, employment, and USA.

United States US: Unemployment: National Estimate: Youth: % of Total Labour Force Aged 15-24 data was reported at 9.230 % in 2017. This records a decrease from the previous number of 10.420 % for 2016. United States US: Unemployment: National Estimate: Youth: % of Total Labour Force Aged 15-24 data is updated yearly, averaging 12.040 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 18.420 % in 2010 and a record low of 8.390 % in 1969. United States US: Unemployment: National Estimate: Youth: % of Total Labour Force Aged 15-24 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. Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

This dataset contains information about Summer Youth Employment Program (SYEP), a service offered by the Department of Youth and Community Development (DYCD) aimed at getting young New Yorkers paid work experience and career exploration opportunities. Each row in the dataset represents the number of public housing residents on a Borough-level who receive or utilize this service. For datasets related to other services provided to NYCHA residents, view the data collection “Services available to NYCHA Residents - Local Law 163”.

Percent of Teens Not Attending School and Not Working (ages 1619) is the percentage of teenagers between ages 16 and 19 who are not enrolled in school (full- or part-time) and not employed (full- or part-time). This measure is sometimes referred to as Idle Teens or Disconnected Youth. SOURCE: * U.S. Census Bureau, American Community Survey.

The unemployment rate for people ages 16 to 24 in the United States in 202024 23 was 10 percent. However, this rate was much lower for people aged 45 and over, at 2.9 percent. U.S. unemployment The unemployment rate in the United States varies based on several factors, such as race, gender, and level of education. Black and African-American individuals had the highest unemployment rate in 2021 out of any ethnicity, and people who had less than a high school diploma had the highest unemployment rate by education level. Alaska is consistently the state with the highest unemployment rate, although the El Centro, California metropolitan area was the area with the highest unemployment rate in the country in 2019. Additionally, in August 2022, farming, fishing, and forestry occupations had the highest unemployment rate in the United States Unemployment rate The U.S. Bureau of Labor Statistics is the agency that researches and calculates the unemployment rate in the United States. Unemployment rises during recessions, which causes the cost of social welfare programs to increase. The Bureau of Labor Statistics says unemployed people are those who are jobless, have looked for employment within the last four weeks, and are free to work.

United States US: Unemployment: Modeled ILO Estimate: Youth Female: % of Female Labour Force Aged 15-24 data was reported at 8.581 % in 2017. This records a decrease from the previous number of 9.253 % for 2016. United States US: Unemployment: Modeled ILO Estimate: Youth Female: % of Female Labour Force Aged 15-24 data is updated yearly, averaging 11.032 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 15.691 % in 2010 and a record low of 8.581 % in 2017. United States US: Unemployment: Modeled ILO Estimate: Youth Female: % of Female Labour Force Aged 15-24 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. Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Workforce Individual Performance Record Data: The Workforce Individual Performance Record Data is data ETA collects from grantees on a quarterly basis via form ETA-9172 (DOL Participant Individual Record Layout (PIRL)). This dataset includes information on the WIOA Title I Adult, Dislocated Worker, Youth, WIOA Title III Wagner-Peyser Employment Service, Trade Adjustment Assistance, National Dislocated Worker Grants, National Farmworker Jobs Program (Career Services and Training), National Farmworker Jobs Program (Housing), Indian and Native American Program (Adult), Indian and Native American Program (Youth), Reentry Employment Opportunities (REO) (Adult), Reentry Employment Opportunities (REO) (Youth), YouthBuild, H-1B, Job Corps, Senior Community Service Employment Program (SCSEP), Registered Apprenticeship Grants Program, and the Veteran’s Employment Service’s Jobs for Veterans State Grant programs for performance accountability purposes. The participant individual record data include data on the individual's characteristics, types of services received, and outcomes attained as a result of participating in the program for each of these programs. The individual records from programs with state grantees include Wage Data provided by state UI Offices and through the SWIS Agreement. For some of these programs, data is available in aggregate and modified public use files on ETA’s website (https://www.dol.gov/agencies/eta/performance/results/national).

This layer shows youth (age 16-19) school enrollment and employment status. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Estimates here for 'disconnected youth' differ from estimates of 'idle youth' on Census Bureau's website because idle youth includes those unemployed (actively looking for work). This layer is symbolized by the count of total youth and the percentage of youth who were disconnected. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2012-2016ACS Table(s): B14005 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: October 16, 2018National Figures: American Fact FinderThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This dataset is updated automatically when the most current vintage of ACS data is released each year. The service contains the ACS data as of the current vintage listed. Tabular data is updated annually with the Census Bureau's release schedule. This may alter data values, fields, and boundaries. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

The NLSY97 standalone data files are intended to be used by crime researchers for analyses without requiring supplementation from the main NLSY97 data set. The data contain age-based calendar year variables on arrests and incarcerations, self-reported criminal activity, substance use, demographic variables and relevant variables from other domains which are created using the NLSY97 data. The main NLSY97 data are available for public use and can be accessed online at the NLS Investigator Web site and at the NACJD Web site (as ICPSR 3959). Questionnaires, user guides and other documentation are available at the same links. The National Longitudinal Survey of Youth 1997 (NLSY97) was designed by the United States Department of Labor, comprising the National Longitudinal Survey (NLS) Series. Created to be representative of United States residents in 1997 who were born between the years of 1980 and 1984, the NLSY97 documents the transition from school to work experienced by today's youths through data collection from 1997. The majority of the oldest cohort members (age 16 as of December 31, 1996) were still in school during the first survey round and the youngest respondents (age 12) had not yet entered the labor market.

About this dataset

Context

The dataset tabulates the data for the Frankenmuth, MI population pyramid, which represents the Frankenmuth 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 Frankenmuth, MI, is 28.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Frankenmuth, MI, is 51.3.
• Total dependency ratio for Frankenmuth, MI is 79.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Frankenmuth, MI is 1.9.

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 Frankenmuth population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Frankenmuth for the selected age group is shown in the following column.
• Population (Female): The female population in the Frankenmuth for the selected age group is shown in the following column.
• Total Population: The total population of the Frankenmuth 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 Frankenmuth Population by Age. You can refer the same here

The National Longitudinal Surveys provide information from nationally representative samples regarding labor market participation and activities, such as: educational history and employment status, number of hours worked per week and other job characteristics. Information is also provided on significant aspects of life, such as: marriage, fertility, income, and health. Background The National Longitudinal Surveys are done by the Bureau of Labor Statistics at the US Department of Labor. The 5 surveys are done to gather information regarding significant events and labor market activities among youth and young adults in the United States. Specific data regarding labor market activities includes, and is not limited to: measures of labor market experience, tenure, employer mobility, educational history, transition from school to work and retirement pl anning and expectations. Data about life events includes: marital and fertility histories, health conditions, insurance coverage, participation in government assistance programs, criminal histories, and drug and alcohol use. User Functionality Users can view and download existing news releases and data tables. Most of the data sets are also available to download for free. Some specific portions may require a fee or an application. The site also provides users with extensive user guides to assist in data analysis. Data Notes The five National Longitudinal Surveys are: The National Longitudinal Survey of Youth, 1997; National Longitudinal Survey of Youth, 1979; National Longitudinal Surve y of Young Women and Mature Women; National Longitudinal Survey of Young Men and Older Men; NLS79 Children and Young Adults (survey of the biological children of the women from the 1979 NLS Youth Survey). Participants are considered to be a nationally representative sample. The website explains the survey methodology in detail.

This dataset shows the number of workers in 25 categories of occupation. The information is mapped according to place of work. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.

This dataset is about book series. It has 1 row and is filtered where the books is Beatlemania : technology, business, and teen culture in cold war America. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset is about books. It has 1 row and is filtered where the book is Youth and suicide in American cinema : context, causes, and consequences. It features 7 columns including author, publication date, language, and book publisher.

The data collection included 87 qualitative interviews / focus groups (semi-structured and/or flexible / conversational / creative) with 143 people: 58 young people who engage in youth work, 59 youth workers and managers, and 26 policy makers, influencers and informants. The data focuses primarily on the value of youth work and its evaluation. The young people, youth workers and managers were from eight open youth work settings around England, selected to represent the diversity of open youth work (youth clubs in purpose built centres and shared spaces; detached / street based youth work; and open youth work with specific groups: trans young people, girls, and boys). The policy makers, influencers and informants were mostly from England. One was from Scotland and five from the USA; these perspectives were sought for comparative and international learning purposes. In addition, the researchers engaged in 73 sessions of participant observation. 63 of these were in the eight youth work settings mentioned above. The remaining ten were policy-related events. The fieldnotes and a small number of interview / focus group transcripts are not included in the shared dataset, either for ethical reasons (e.g. if it was not feasible to anonymise them or to redact sensitive data), or because participants opted out of data sharing.This research investigated the policy and practice of evaluation and accountability in youth work. It collaborated with young people, youth workers, managers, funders and policy makers/influencers, to understand the effects of impact measurement, and develop approaches to evaluation that are congruent with youth work practice. This three-year research project involved 143 participants in 87 qualitative interviews and focus groups, including flexible and creative approaches to interviewing (e.g. photovoice, peer interviewing, music elicitation). The researchers also engaged in extensive participant observation in eight open youth work settings around England (youth clubs, detached / street-based youth work, and youth work aimed at specific groups e.g. trans young people, girls, boys). The study aims to find out how the youth impact agenda is implemented in practice, and how impact processes are experienced and perceived by young people and youth workers. Interviews include the perspectives of policy makers and influencers in the UK and USA, to explore how and why 'youth impact' has become so important at this time. The study took a qualitative approach based on 87 interviews and focus groups with 143 young people, youth workers and policy influencers in England (16 of whom took part in two or more interviews or focus groups), alongside 73 sessions of participant observation. The research took place in four phases. Phase 1 involved interviews with 13 policy makers and influencers and participant observation in 10 policy-related events in 2018. Phase 2 took place in eight open youth work settings, purposively selected to encompass a diversity of youth work approaches, locations, and organisation types. This involved an average of four visits to each of eight youth work settings in the first half of 2019, and included participating in youth work sessions, debriefs and team meetings, alongside interviews with managers and administrators, and focus groups with youth workers and young people. This phase included 14 interviews and 14 focus groups with 87 participants. Phase three took place from December 2019 to October 2020, focusing in depth on two of the Phase 2 organisations. This enabled us to build a deeper contextualised understanding of evaluation and monitoring in these contrasting settings over time. Our longer engagement in these settings enabled greater trust, fluidity, collaboration and creativity. Data collection included a recorded tour of a youth club; sharing and discussion of photographs and songs; and a ‘paper chatterbox’ with questions selected by young people. This research phase was impacted by the Covid 19 pandemic and some participant observation, interviews and focus groups took place online. This phase included 28 interviews / focus groups with 40 participants. Phase 4 involved 15 online semi-structured interviews with ten policy makers and influencers from the England context, and five expert informants from the USA context.