This statistic shows the U.S. unemployment rate from 1971 to 2015, by income tier. In 2015, about 4 percent of U.S. adult residents that were part of the middle class, were unemployed.

This study defined middle class income households as those with an income between 67 and 200 percent of the U.S. median household income, after adjustment for household size. Middle class income ranges from about 42,000 U.S. dollars to about 126,000 U.S. dollars per year for a three-person household.

In February 2025, the agriculture and related private wage and salary workers industry had the highest unemployment rate in the United States, at eight percent. In comparison, self-employed workers, unincorporated, and unpaid family workers had the lowest unemployment rate, at 4.3 percent. The average for all industries was 4.5 percent. U.S. unemployment There are several factors that impact unemployment, as it fluctuates with the state of the economy. Unfortunately, the forecasted unemployment rate in the United States is expected to increase as we head into the latter half of the decade. Those with a bachelor’s degree or higher saw the lowest unemployment rate from 1992 to 2022 in the United States, which is attributed to the fact that higher levels of education are seen as more desirable in the workforce. Nevada unemployment Nevada is one of the states with the highest unemployment rates in the country and Vermont typically has one of the lowest unemployment rates. These are seasonally adjusted rates, which means that seasonal factors such as holiday periods and weather events that influence employment periods are removed. Nevada's economy consists of industries that are currently suffering high unemployment rates such as tourism. As of May 2023, about 5.4 percent of Nevada's population was unemployed, possibly due to the lingering impact of the coronavirus pandemic.

Graph and download economic data for Youth Unemployment Rate: All Income Levels for East Asia and Pacific (SLUEM1524ZSEAS) from 1991 to 2023 about East Asia, Pacific, income, unemployment, and rate.

Graph and download economic data for Youth Unemployment Rate: All Income Levels for Europe and Central Asia (SLUEM1524ZSECS) from 1991 to 2023 about Central Asia, Europe, income, unemployment, and rate.

In the United States, approximately 6.63 million people were unemployed and looking for work in October 2024. The data has not been seasonally adjusted. For comparison, a look at the unemployment rate in EU states shows that the EU average is higher than the U.S. average.

Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.

United States CES: $70 to 79.999 Th: IBT: Unemployment & Workers, Veteran Benefit data was reported at 585.000 USD in 2012. This records a decrease from the previous number of 714.000 USD for 2011. United States CES: $70 to 79.999 Th: IBT: Unemployment & Workers, Veteran Benefit data is updated yearly, averaging 310.000 USD from Dec 2003 (Median) to 2012, with 10 observations. The data reached an all-time high of 824.000 USD in 2010 and a record low of 210.000 USD in 2005. United States CES: $70 to 79.999 Th: IBT: Unemployment & Workers, Veteran Benefit data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

Graph and download economic data for Unemployment Level - Agricultural and Related Private Wage and Salary Workers (LNU03035109) from Jan 2000 to Feb 2025 about agriculture, salaries, workers, 16 years +, wages, household survey, private, unemployment, and USA.

Unemployment Rate in Spain decreased to 10.61 percent in the fourth quarter of 2024 from 11.21 percent in the third quarter of 2024. This dataset provides the latest reported value for - Spain Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2024, around 6.2 percent of people aged 25 and older who had less than a high school diploma, were unemployed. After relatively high levels of unemployment across all education groups in 2020 due to the COVID-19 pandemic, unemployment levels have decreased in the subsequent years. The monthly unemployment rate in the U.S. can be accessed here and the unemployment rate for each U.S. state can be accessed here.

United States CES: $100 to 119.999 Th: IBT: Unemployment & Workers, Vet Benefits data was reported at 267.000 USD in 2012. This records a decrease from the previous number of 484.000 USD for 2011. United States CES: $100 to 119.999 Th: IBT: Unemployment & Workers, Vet Benefits data is updated yearly, averaging 263.500 USD from Dec 2003 (Median) to 2012, with 10 observations. The data reached an all-time high of 529.000 USD in 2010 and a record low of 152.000 USD in 2007. United States CES: $100 to 119.999 Th: IBT: Unemployment & Workers, Vet Benefits data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H044: Consumer Expenditure Survey: By Income Level.

Data about the general economic characteristics of the population of San Mateo County, by City. This dataset includes information on employment, unemployment, median household income, health insurance coverage, and families and people whose income in the past 12 months is below the poverty level. Note that household income data for Atherton and Hillsborough is noted as $250,000. The US Census Bureau estimates the household income for these locations as "$250,000+." The value was changed to maintain data functionality in the Open Data Portal. This data was extracted from the United States Cenus Bureau's American Community Survey 2014 5 year estimates.

This table contains monthly, quarterly and yearly figures on the labour participation and unemployment in the Netherlands. The population of 15 to 75 years old (excluding the institutionalized population) is divided into the employed, the unemployed and the people who are not in in the labour force. The different groups are further broken down by sex and age. Next to the original monthly figures on the labour force you can also find monthly figures that are seasonally adjusted.

Data available from: January 2003

Status of the figures: The figures in this table are final.

Changes as of 20 February 2025: The figures for January have been added

When will new figures be published? New figures on the most recent month are published monthly, in the third week of the month.

Unemployment Rate in China increased to 5.40 percent in February from 5.20 percent in January of 2025. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The survey charted the spiritual, physical and material welfare of people living in Finland. Respondents were asked to state their occupational title, type of work and employer and status in the labour market during the past three years. People who were married or cohabiting were asked about their spouse's employment status. The unemployed or laid off respondents were asked about unemployment benefits and duration of unemployment or layoff. The unemployed answered to questions about experiences of unemployment, job seeking,, the suitability of different options (e.g. retraining and odd jobs) in their present situation and the importance of different things (e.g. fear of coping in the job and improvement of income level) in accepting a job. Respondents evaluated their general health, for example, psychosomatic symptoms, loneliness and the existence of a confidential friend. They were asked whether they have access to different leisure time activities. Households' monthly net income and monthly expenses were charted. Respondents' satisfaction with their living standard and monthly spending money of their household and its sufficiency were probed. They also rated the difficulty/easiness of obtaining income and the level of income in the next five years. Respondents were also asked whether they feel they are living in poverty or are over-indebted. Respondents were asked to evaluate the frequency of financial difficulties and use of strategies to solve them. They were presented with a set of attitudinal statements about social security and public services. Perceptions of the sufficiency of the level of income support and different social security benefits were charted. Respondents assessed the amount of money that one adult needs monthly and the reasonable amount of social security benefits their household would require. Background variables included year of birth, gender, marital status, household composition, type of place of residence, highest level of education and political party preference.

Unemployment Rate in France decreased to 7.30 percent in the fourth quarter of 2024 from 7.40 percent in the third quarter of 2024. This dataset provides the latest reported value for - France Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Context

This is a paid research survey to explore the linkage between mental illness and unemployment. NAMI has conducted multiple surveys verifying the high unemployment rate among those with mental illness, but this is the only survey to date which targets causation (why they are unemployed). Statistical significance of the variance has long since been proven by previous, larger samples.

You are free to visualize and publish results, please just credit me by name.

Collection methodology

I received several messages about methodology of collection because various people would like to use this data for papers.

• I paid respondents on Survey Monkey in a general population sampling. I did not target any specific demographic as not to get skewed results. Survey Monkey stratifies the sample according to certain characteristics like income and location.

• I know that the general population sampling went well because the number of people self identifying as having a mental illness is consistent with larger samples.

• Although we disqualified people without a mental illness, they were still given the complete survey. That means that the data contains sampling of people with and without mental illness and a yes/no indicator.

Potential area's to investigate

• Linkage between unemployment and education level
• The effect of a gap on your resume on income level
• Symptom/side effects impact on employment
• The effectiveness of social welfare programs
• The linkage between gaps in your resume and hospitalizations due to mental illness

Content

***Sample size:** n = 334; 80 w/ mental illness - this proportion is approximately equal to estimates of the general population diagnosed with mental illness (typically estimated at 20-25% according to various studies).*

Questions:

I identify as having a mental illness Response
Education  Response
I have my own computer separate from a smart phone Response
I have been hospitalized before for my mental illness  Response
How many days were you hospitalized for your mental illness Open-Ended Response
I am currently employed at least part-time Response
I am legally disabled  Response
I have my regular access to the internet  Response
I live with my parents Response
I have a gap in my resume  Response
Total length of any gaps in my resume in months.  Open-Ended Response
Annual income (including any social welfare programs) in USD  Open-Ended Response
I am unemployed Response
I read outside of work and school  Response
Annual income from social welfare programs Open-Ended Response
I receive food stamps  Response
I am on section 8 housing  Response
How many times were you hospitalized for your mental illness  Open-Ended Response

I have one of the following issues in addition to my illness:
  Lack of concentration
  Anxiety
  Depression
  Obsessive thinking
  Mood swings
  Panic attacks
  Compulsive behavior
  Tiredness

Age Response
Gender Response
Household Income  Response
Region Response
Device Type Response

Important data transformation note

When comparing the actual rate to government statistics, it is important to take into account the labor force participation rate (the % of people who are legally considered to be in the workforce). People not included in the unemployment statistic, like discouraged workers (for example the mentally ill) will be "not participating" in the workforce.

Other studies

1. Nami: https://www.nami.org/Press-Media/Press-Releases/2014/Mental-Illness-NAMI-Report-Deplores-80-Percent-Une

2. NIH: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182106/

Unemployment Rate in Venezuela increased to 5.90 percent in 2023 from 5.30 percent in 2022. This dataset provides - Venezuela Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.