In 2024, the employment rate of the workforce of 55 years and older decreased to 37.3 percent. Employment rate among young adults (age 16-24) was at 50.9 percent in 2024. For monthly updates on employment in the United States visit the annual national employment rate here.

Graph and download economic data for Employment-Population Ratio - 25-54 Yrs. (LNS12300060) from Jan 1948 to Jun 2025 about 25 to 64 years, employment-population ratio, employment, population, and USA.

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.

Graph and download economic data for Unemployment Rate - 16-24 Yrs. (LNS14024887) from Jan 1948 to Jun 2025 about 16 to 24 years, unemployment, rate, and USA.

Youth unemployment stood at 9.7 percent in February 2025. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate by state can be found here, and the annual national unemployment rate can be found here. Youth unemployment in the United States The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment. During the period in question, youth unemployment ranged from a high of 9.9 percent in April 2021, to a low of 6.5 percent in April 2023. The national youth unemployment rate can be compared to the monthly national unemployment rate in the United States, although youth unemployment tends to be much higher due to higher rates of participation in education. In May 2023, U.S. unemployment was at 3.7 percent, compared with 7.4 percent amongst those 16 to 24 years old. Additionally, as of May 2023, Nevada had the highest state unemployment rate of all U.S. states, at 5.4 percent.

The 2018 edition of Woods and Poole Complete U.S. Database provides annual historical data from 1970 (some variables begin in 1990) and annual projections to 2050 of population by race, sex, and age, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. The Complete U.S. Database contains annual data for all economic and demographic variables for all geographic areas in the Woods & Poole database (the U.S. total, and all regions, states, counties, and CBSAs). The Complete U.S. Database has following components: Demographic & Economic Desktop Data Files: There are 122 files covering demographic and economic data. The first 31 files (WP001.csv – WP031.csv) cover demographic data. The remaining files (WP032.csv – WP122.csv) cover economic data. Demographic DDFs: Provide population data for the U.S., regions, states, Combined Statistical Areas (CSAs), Metropolitan Statistical Areas (MSAs), Micropolitan Statistical Areas (MICROs), Metropolitan Divisions (MDIVs), and counties. Each variable is in a separate .csv file. Variables: Total Population Population Age (breakdown: 0-4, 5-9, 10-15 etc. all the way to 85 & over) Median Age of Population White Population Population Native American Population Asian & Pacific Islander Population Hispanic Population, any Race Total Population Age (breakdown: 0-17, 15-17, 18-24, 65 & over) Male Population Female Population Economic DDFs: The other files (WP032.csv – WP122.csv) provide employment and income data on: Total Employment (by industry) Total Earnings of Employees (by industry) Total Personal Income (by source) Household income (by brackets) Total Retail & Food Services Sales ( by industry) Net Earnings Gross Regional Product Retail Sales per Household Economic & Demographic Flat File: A single file for total number of people by single year of age (from 0 to 85 and over), race, and gender. It covers all U.S., regions, states, CSAs, MSAs and counties. Years of coverage: 1990 - 2050 Single Year of Age by Race and Gender: Separate files for number of people by single year of age (from 0 years to 85 years and over), race (White, Black, Native American, Asian American & Pacific Islander and Hispanic) and gender. Years of coverage: 1990 through 2050. DATA AVAILABLE FOR 1970-2019; FORECASTS THROUGH 2050

Graph and download economic data for Unemployment Rate - 20-24 Yrs. (LNS14000036) from Jan 1948 to Jun 2025 about 20 to 24 years, household survey, unemployment, rate, and USA.

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.

Graph and download economic data for Labor Force Participation Rate - 20-24 Yrs. (LNS11300036) from Jan 1948 to Jun 2025 about 20 to 24 years, participation, civilian, labor force, labor, household survey, rate, and USA.

Key Table Information.Table Title.Island Areas: Employment by Primary Function for Wholesale Trade for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2022.Table ID.ISLANDAREAS2022.IA2200SUBJ02.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, the U.S. Virgin Islands, Guam, the Commonwealth of the Northern Mariana Islands, or America Samoa, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of establishmentsSales, value of shipments, or revenue ($1,000)Number of employeesResponse coverage ratio (%)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total employeesEach record includes an EMPFUNCT code, which represents a specific employment by primary function category.The data are shown for employment by primary function.Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:At the Territory level for American SamoaAt the Territory level for GuamAt the Territory level for the Commonwealth of the Northern Mariana IslandsAt the Territory level for Puerto RicoAt the Territory level for US Virgin IslandsFor information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2-digit 2022 NAICS code level for Wholesale Trade.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error...

This poll, fielded February 23-27, 2007, is a part of a continuing series of monthly surveys that solicits public opinion on the presidency and on a range of other political and social issues. Respondents were asked whether they approved of the way George W. Bush was handling his job as president and other issues such as foreign policy. They also were asked to rate the condition of the national economy, what was the most important domestic policy for the president and Congress to focus on, and whether they approved of the way Congress was handling its job. Opinions were solicited on the topic of health care, including how well the United States health care system works, the cost of health care, the federal government's responsibility to guarantee health care for all Americans, whether taxes should be increased in order to expand health care to all Americans, and whether employers should be required to provide insurance for all their workers. A series of questions asked for respondents' opinions on advertisements by drug companies, including whether they are helpful to consumers, whether prescription drug advertisements on television should be limited by the government, whether it was acceptable for doctors to be paid by drug companies to promote prescription drugs, and whether Congress should change the law to allow Americans to buy lower cost prescription drugs from Canada. Respondents were asked whether the government would do a better job than private insurance companies in providing medical coverage and holding down health care costs, which issues they would like most to hear the 2008 presidential candidates talk about over the next two years regarding health care, and whether they had confidence in each presidential candidate's ability to make decisions about health care. Information was also collected about the status of respondents and their household members' health care coverage and health care costs, their health status and treatment for common conditions, life expectancy, whether they had an employer-sponsored pension plan, and whether they were concerned about not having enough money for retirement. Additional information was collected on respondents' opinions of the Republican and Democratic parties, international trade, globalization, and the United States military situation with Iraq and Iran. Demographic information includes sex, age, race, education level, household income, marital status, religious preference, type of residential area (e.g., urban or rural), political party affiliation, political philosophy, voter registration status and participation history, the presence of children under 18 and household members between the ages of 18 and 24, and whether respondents had children attending a four-year college.

Graph and download economic data for Employed full time: Wage and salary workers: 16 to 24 years: Men (LEU0252882000A) from 2000 to 2024 about 16 to 24 years, full-time, males, salaries, workers, wages, employment, and USA.

This table contains 28215 series, with data for years 1987 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Newfoundland and Labrador; Prince Edward Island; Nova Scotia; Canada ...), Days lost (5 items: Total; days lost (including maternity leave);Own illness or disability; Other personal (including maternity leave);Total; days lost (excluding maternity leave) ...), North American Industry Classification System (NAICS) (19 items: Total; all industries; Forestry; fishing; mining; quarrying; oil and gas; Agriculture; Goods-producing sector ...), Sex (3 items: Both sexes; Females; Males ...), Age group (9 items: 15 years and over;25 to 44 years;15 to 24 years;25 years and over ...).

Abstract (en): The American Time Use Survey (ATUS) collects information on how people living in the United States spend their time. Data collected in this study measured the amount of time that people spent doing various activities in 2005, such as paid work, child care, religious activities, volunteering, and socializing. Respondents were randomly selected from households that had completed their final month of the Current Population Survey (CPS), and were interviewed two to five months after their household's last CPS interview. Respondents were interviewed only once and reported their activities for the 24-hour period from 4 a.m. on the day before the interview until 4 a.m. on the day of the interview. Respondents indicated the total number of minutes spent on each activity, including where they were and whom they were with. Except for secondary child care, data on activities done simultaneously with primary activities were not collected. Part 1, Respondent and Activity Summary File, contains demographic information about respondents and a summary of the total amount of time they spent doing each activity that day. Part 2, Roster File, contains information about household members and nonhousehold children under the age of 18. Part 3, Activity File, includes additional information on activities in which respondents participated, including the location of each activity and the total time spent on secondary child care. Part 4, Who File, includes data on who was present during each activity. Part 5, ATUS-CPS 2005 File, contains data on respondents and members of their household collected two to five months prior to the ATUS interviews during their participation in the Current Population Survey (CPS). Parts 6-10 contain supplemental data files that can be used for further analysis of the data. Part 6, Case History File, contains information about the interview process, such as identifiers and interview outcome codes. Part 7, Call History File, gives information about each call attempt, including the call date and outcome. Part 8, Trips File, provides information about the number, duration, and purpose of overnight trips away from home for two or more nights in a row. Part 9, Replicate Weights File I, contains base weights, replicated base weights, and replicate final weights for each case that was selected to be interviewed for ATUS, while Part 10, Replicate Weights File II, contains replicate weights that were generated using the 2006 weighting method. Demographic variables include sex, age, race, ethnicity, education level, income, employment status, occupation, citizenship status, country of origin, relationship to household members, and the ages and number of children in the household. The data contain weight variables which should be used in analyzing the data. Unweighted data are not representative of the population due to differences between population groups in both sampling and nonresponse. ATUS weight variables include the ATUS final weight (TUFINLWGT), which indicates the number of person-days the respondent represents, the ATUS base weight (TUBWGT), and a ATUS final weight based on 2006 weighting methodology (TU06FWGT). ATUS weights were selected from the Current Population Survey (CPS), and CPS weights (after the first-stage adjustment) are the basis for the ATUS weights. These base weights were adjusted to account for the fact that less populous states were not oversampled in ATUS, as they were in the CPS. Further adjustments were made to account for the probability of selecting each household within the ATUS sampling strata and the probability of selecting each person from each sample household. Part 9 contains replicate weights for the variable TUFINLWGT, as well as base weights, while Part 10 contains replicate weights for the variable TU06FWGT. ATUS replicate weights were based on the replicate weights developed for the CPS. ATUS began with the CPS replicate weight after the first-stage ratio adjustment, and each replicate was processed through all of the stages of the ATUS weighting procedure. The CPS replicate weights were based on a modified balanced half-sample method of replication, developed in the 1980s by Robert Fay. For more information about the replicate weights, see the publication, Technical Paper 63RV: Current Population Survey -- Design and Methodology, available via the Bureau of Labor Statistics Web site. More information on the weighting variables used in this study can be found in t...

Graph and download economic data for Employment-Population Ratio (EMRATIO) from Jan 1948 to May 2025 about employment-population ratio, civilian, 16 years +, household survey, employment, population, and USA.

The Pathways for Advancing Careers and Education (PACE) study was designed to produce rigorous evidence for policymakers, practitioners, and researchers about the effectiveness of nine career pathways approaches that sought to increase credentials, employment, and self-sufficiency among low-income, low-skilled Americans. Funded by the U.S. Department of Health and Human Services' Administration for Children and Families, Office of Planning, Research, and Evaluation, PACE included nine program-specific evaluation reports. The study was led by Abt Associates, in partnership with MEF Associates, The Urban Institute, and the University of Michigan. Each program-specific evaluation included an implementation study that examined the design and operation of the program and enrolled students' participation patterns, and an impact study that used an experimental design to measure differences in educational and employment outcomes between individuals randomly assigned to a group that could receive services from the PACE program (treatment group) and a group that could not but could participate in other services in the community (control group). Program impacts were measured 18 to 24 months following random assignment, depending on the program. Follow-up impact reports will cover three and six years after random assignment. The collection includes the following 15 data files: Analysis Data File (9,242 cases; 152 variables) Basic Information Form Data File (9,242 cases; 79 variables) Case Manager/Advisor Data File (108 cases; 223 variables) Instructional Staff Data File (135 cases; 510 variables) Manager/Supervisor Data File (41 cases; 202 variables) First Follow-up Data File (7,139 cases; 1,432 variables) Self-Administered Questionnaire Data File (9,242 cases; 96 variables) 3 Year Updated Analysis Data File (9,242 cases; 1,676 variables) Augmented Credentials Data File (5,862 cases; 29 variables) Augmented Job Spells Data File (13,540 cases; 31 variables) Augmented School Spells Data File (7,013 cases; 29 variables) Job Conditions Data File (5,702 cases; 28 variables) Person Level Data File (6,772 cases; 290 variables) 6 Year Follow-up Survey Data File (3,279 cases; 322 variables) 6 Year Updated Analysis Data File (3,279 cases; 177 variables)

This poll, fielded July 24-28, 2009, is a part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked whether they approved of the way Barack Obama was handling the presidency and issues such as foreign policy and health care. Opinions were solicited about the most important problem facing the country, whether the country was moving in the right direction, the condition of the national economy, and the Republican and Democratic parties. Respondents were asked about the federal government's stimulus package, including its effect on the creation of new jobs, the federal budget deficit, and the national and local economy. A series of questions addressed the health care system in the United States, whether respondents thought they would benefit from the health care legislation under consideration in Congress, the effects of this legislation on the federal budget deficit and the economy, and the likelihood that a health care reform bill would be signed into law by the end of the year. Views were sought on specific health care reform proposals, such as taxing employer-paid health insurance benefits, raising taxes on Americans with high incomes, and requiring health insurance companies to provide coverage regardless of pre-existing medical conditions. Respondents were also polled on whether they believed it was the federal government's responsibility to guarantee health insurance for all Americans and the possible effects of a government-created universal health care system on the quality of health care, health care costs, taxes, jobs, and the number of uninsured Americans. Information was collected on the financial situation of the respondent's household, whether they had health insurance coverage, the source of their insurance coverage, and the affordability of basic medical care under their health insurance plan. Additional topics addressed police treatment of minorities, the wars in Iraq and Afghanistan, and whether women should be allowed to participate in military combat and serve in combat zones. Demographic variables include sex, age, race, education level, marital status, household income, employment status, political party affiliation, political philosophy, voter registration status and participation history, religious preference, the presence of adults between the ages of 18 and 29 in the household, whether respondents had a child under the age of 18 years, and whether they considered themselves to be a born-again Christian.

Regional Market Outlook: North America Employee Recognition Software Market

Country	CAGR (2025 to 2035)
Mexico	10.5%

Country	CAGR (2025 to 2035)
Dominican Republic	8.1%

Country	CAGR (2025 to 2035)
Puerto Rico	8.8%

Country	CAGR (2025 to 2035)
Panama	9.2%

Segmentation Outlook - North America Employee Recognition Software Market

System Type	Market Share (2025)
App-Based Employee Recognition Systems	61.3%

Application Type	Market Share (2025)
E-Gift Cards	48.7%

Competitive Outlook

Company Name	Estimated Market Share (%)
Workhuman ( Globoforce )	20-24%
Achievers Solutions Inc.	15-19%
Bonusly , Inc.	12-16%
O.C. Tanner Company	9-13%
Kazoo (Now WorkTango )	7-11%
Motivosity Inc.	6-10%
Other Companies (combined)	18-26%

Regional Market Outlook: North America Employee Recognition Software Market

Country	CAGR (2025 to 2035)
Mexico	10.5%

Country	CAGR (2025 to 2035)
Dominican Republic	8.1%

Country	CAGR (2025 to 2035)
Puerto Rico	8.8%

Country	CAGR (2025 to 2035)
Panama	9.2%

Segmentation Outlook - North America Employee Recognition Software Market

System Type	Market Share (2025)
App-Based Employee Recognition Systems	61.3%

Application Type	Market Share (2025)
E-Gift Cards	48.7%

Competitive Outlook

Company Name	Estimated Market Share (%)
Workhuman ( Globoforce )	20-24%
Achievers Solutions Inc.	15-19%
Bonusly , Inc.	12-16%
O.C. Tanner Company	9-13%
Kazoo (Now WorkTango )	7-11%
Motivosity Inc.	6-10%
Other Companies (combined)	18-26%

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

Graph and download economic data for Labor Force Participation Rate - 25-54 Yrs. (LNS11300060) from Jan 1948 to May 2025 about 25 to 54 years, participation, civilian, labor force, labor, household survey, rate, and USA.