In 1990, the unemployment rate of the United States stood at 5.6 percent. Since then there have been many significant fluctuations to this number - the 2008 financial crisis left millions of people without work, as did the COVID-19 pandemic. By the end of 2022 and throughout 2023, the unemployment rate came to 3.6 percent, the lowest rate seen for decades. However, 2024 saw an increase up to four percent. For monthly updates on unemployment in the United States visit either the monthly national unemployment rate here, or the monthly state unemployment rate here. Both are seasonally adjusted. UnemploymentUnemployment is defined as a situation when an employed person is laid off, fired or quits his work and is still actively looking for a job. Unemployment can be found even in the healthiest economies, and many economists consider an unemployment rate at or below five percent to mean there is 'full employment' within an economy. If former employed persons go back to school or leave the job to take care of children they are no longer part of the active labor force and therefore not counted among the unemployed. Unemployment can also be the effect of events that are not part of the normal dynamics of an economy. Layoffs can be the result of technological progress, for example when robots replace workers in automobile production. Sometimes unemployment is caused by job outsourcing, due to the fact that employers often search for cheap labor around the globe and not only domestically. In 2022, the tech sector in the U.S. experienced significant lay-offs amid growing economic uncertainty. In the fourth quarter of 2022, more than 70,000 workers were laid off, despite low unemployment nationwide. The unemployment rate in the United States varies from state to state. In 2021, California had the highest number of unemployed persons with 1.38 million out of work.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in India remained unchanged at 5.20 percent in October. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States Unemployment Rate: Female data was reported at 3.400 % in Dec 2018. This records a decrease from the previous number of 3.500 % for Nov 2018. United States Unemployment Rate: Female data is updated monthly, averaging 5.850 % from Jan 1948 (Median) to Dec 2018, with 852 observations. The data reached an all-time high of 10.400 % in Jun 1983 and a record low of 2.600 % in May 1953. United States Unemployment Rate: Female 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.G018: Current Population Survey: Unemployment Rate.

VITAL SIGNS INDICATOR Unemployment (EC3)

FULL MEASURE NAME Unemployment rate by residential location

LAST UPDATED July 2019

DESCRIPTION Unemployment refers to the share of the labor force – by place of residence – that is not currently employed full-time or part-time. The unemployment rate reflects the strength of the overall employment market.

DATA SOURCE California Employment Development Department: Historical Unemployment Rates 1990-2018 https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-Statistics-LAUS-Annual-Ave/7jbb-3rb8

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Unemployment rates produced by EDD for the region and county levels are not adjusted for seasonality (as they reflect annual data) and are final data (i.e., not preliminary). Unemployment rates produced by BLS for the metro regions are adjusted for seasonality; they reflect the primary MSA for the named region, except for the San Francisco Bay Area which uses the nine-county region. The unemployment rate is calculated based on the number of unemployed persons divided by the total labor force. Note that the unemployment rate can decline or increase as a result of changes in either variable.

Unemployment Rates by State

Unemployment rates in US states from 1976 to 2018

By Throwback Thursday [source]

About this dataset

This dataset, titled Unemployment by State 1976 - 2018, provides comprehensive information on unemployment rates in each state within the United States from 1976 to 2018. The data was sourced from the Bureau of Labor Statistics, ensuring reliability and relevance.

The dataset includes a variety of columns that provide valuable insights into the unemployment situation in each state during this time period. These columns include:

1. Month and Year: This column represents the specific month and year for which the data was recorded. It enables researchers to analyze trends and changes in unemployment rates over time.

2. State: This categorical column indicates the name of the individual state for which the unemployment data is recorded. It allows users to compare and contrast unemployment rates between different states throughout this time frame.

3. Civilian Population: This numeric column represents the total number of individuals who were not part of the military or institutionalized, and were at least 16 years old during a particular month and year. It serves as a reference point for understanding workforce size when analyzing employment trends.

4. Total Labor Force: This numeric column represents the total number of individuals who were either employed or actively seeking employment during a specific period in a particular state. It provides an accurate measure of workforce participation that can be used alongside other variables for further analysis.

5. Percent of Population: This numeric column reflects what percentage of a state's civilian population made up its total labor force during a given month and year, providing insights into labor market dynamics on a proportional scale.

6. Employed - Total: This numeric column gives an aggregate count representing how many individuals were employed within each state during a certain period, enabling analysis of employment opportunities across states over time.

7. Employed - Percent of Population: Expressed as a percentage, this variable indicates what proportion of each state's civilian population was employed during specific months/years under consideration. It helps measure the efficiency of state economies in utilizing available workforce resources.

8. Unemployed - Total: This numeric column represents the total number of individuals who were unemployed during specific months and years within each state. It serves as a quantifiable indicator of labor market fluctuations and economic challenges faced by different states at various times.

9. Unemployed - Percent of Labor Force: This numeric column reveals the percentage of total labor force members who were unemployed during specific periods, providing an insight into the severity of unemployment rates relative to overall workforce size.

With this comprehensive dataset, researchers can conduct in-depth analyses on unemployment rates across different states

How to use the dataset

This dataset provides comprehensive information on unemployment rates in each state from 1976 to 2018. The data is obtained from the Bureau of Labor Statistics and covers various aspects related to unemployment.

Here is a step-by-step guide on how to effectively utilize this dataset:

• Understand the columns: Familiarize yourself with the different columns present in the dataset. Each column represents a specific attribute related to unemployment rates, such as the month and year of the data recorded, state name, civilian population, total labor force, percentage of population employed or unemployed, and more.

• Filter by state: If you are interested in analyzing specific states, use the State column to filter and extract data for those particular states. This will help you focus your analysis on regions that are most relevant to your research or area of interest.

• Analyze trends over time: Utilize the Month and Year column (excluding dates) for understanding long-term trends in unemployment rates across different states. This can be done by creating line plots or bar charts comparing unemployment rates for multiple states over time.

• Compare employment percentages: The columns Employed - Percent of Population and Unemployed - Percent of Labor Force provide valuable insights into employment trends at both individual state as well as national levels. Use these percentages to compare different states' employment performances against each other or within a specific timeframe.

• Calculate raw numbers: The columns E...

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

Between 2018 and 2025, the employment rate in Italy was higher for women than for men. In the first quarter of 2025, the figure stood at *** percent for males and ***** percent for females. Italy registers one of the highest unemployment rates in Europe. Nevertheless, both figures decreased in recent years.

United States Unemployment Rate: U4 Unemployed & Discouraged Workers data was reported at 3.800 % in Oct 2018. This stayed constant from the previous number of 3.800 % for Sep 2018. United States Unemployment Rate: U4 Unemployed & Discouraged Workers data is updated monthly, averaging 5.600 % from Jan 1994 (Median) to Oct 2018, with 298 observations. The data reached an all-time high of 11.200 % in Jan 2010 and a record low of 3.800 % in Oct 2018. United States Unemployment Rate: U4 Unemployed & Discouraged Workers 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.G018: Current Population Survey: Unemployment Rate.

United States Unemployment Rate: U2 Job Losers Who Completed Temporary Jobs data was reported at 1.900 % in Jun 2018. This records an increase from the previous number of 1.500 % for May 2018. United States Unemployment Rate: U2 Job Losers Who Completed Temporary Jobs data is updated monthly, averaging 2.800 % from Jan 1967 (Median) to Jun 2018, with 618 observations. The data reached an all-time high of 7.300 % in Jan 1983 and a record low of 1.000 % in Sep 1969. United States Unemployment Rate: U2 Job Losers Who Completed Temporary Jobs 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.G018: Current Population Survey: Unemployment Rate.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

The Department of Statistics (DoS) implements the Labor Force Survey through four rounds every year. The survey covers about 16,500 households distributed over all governorates. The households are selected on the basis of scientific criteria in designing the multistage cluster stratified samples. It should be noted that the survey sample represents the Kingdom, governorates, three regions, urban / rural and Jordanians and non-Jordanians.

It is worth mentioning that the Department of Statistics uses the tablet sets in data collection and processing and an electronic questionnaire instead of the paper format.

The survey main objectives are: - To identify the demographic, social and economic characteristics of the population and manpower. - To identify the occupational structure and economic activity of the employed persons, as well as their employment status. - To identify the reasons behind the desire of the employed persons to search for a new or additional job. - To measure the economic activity participation rates (the number of economically active population divided by the population of 15+ years old). - To identify the different characteristics of the unemployed persons. - To measure unemployment rates (the number of unemployed persons divided by the number of economically active population of 15+ years old) according to the various characteristics of the unemployed, and the changes that might take place in this regard. - To identify the most important ways and means used by the unemployed persons to get a job, in addition to measuring durations of unemployment for such persons. - To identify the changes overtime that might take place regarding the above-mentioned variables.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a sample representative on the national level (Kingdom), governorates, three regions (Central, North and South), urban / rural and Jordanians and non-Jordanians.

Analysis unit

1- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

Mode of data collection

Computer Assisted Personal Interview [capi]

Cleaning operations

----> Raw Data

A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.

----> Harmonized Data

• The STATA software is used to clean and harmonize the datasets.
• The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
• All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
• A post-harmonization cleaning process is then conducted on the data.
• Harmonized data is saved on the individual level, in STATA and then converted to SPSS, to be disseminated.

In 2025, it was estimated that over 163 million Americans were in some form of employment, while 4.16 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

Graph and download economic data for Unemployment Rate in Miami-Dade County, FL (FLMIAM6URN) from Jan 1990 to Aug 2025 about Miami-Dade County, FL; Miami; FL; unemployment; rate; and USA.

United States Unemployment Rate: sa: U5 Unemp, Discouraged & Marginally Employed data was reported at 4.900 % in Jun 2018. This records an increase from the previous number of 4.600 % for May 2018. United States Unemployment Rate: sa: U5 Unemp, Discouraged & Marginally Employed data is updated monthly, averaging 6.450 % from Jan 1994 (Median) to Jun 2018, with 294 observations. The data reached an all-time high of 11.400 % in Oct 2009 and a record low of 4.600 % in May 2018. United States Unemployment Rate: sa: U5 Unemp, Discouraged & Marginally Employed 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.G021: Current Population Survey: Unemployment Rate: Seasonally Adjusted.

In 2021, the unemployment rate among the United States workforce was approximately 5.35 percent - this was roughly 3.8 percent lower than the unemployment rate in 2020, during the first year of the Covid-19 pandemic, but was still around one percent higher than pre-pandemic levels.

Based on the preliminary estimates for 2024, the unemployment rate in Metro Manila or the National Capital Region (NCR) in the Philippines was at 4.8 percent, significantly lower than the previous year’s estimates. The region’s unemployment rate peaked in 2020 during the onset of the COVID-19 pandemic. Which Metro Manila city has the highest unemployment rate? Valenzuela City had the highest unemployment rate among other cities in Metro Manila in 2022, which was estimated at 9.3 percent. This was followed by the cities of Caloocan and Malabon. Meanwhile, the capital city of Manila had an unemployment rate of about 8.6 percent. The region’s labor force participation rate has been steadily increasing since 2018, although it remains to have one of the lowest employment rates nationwide. Daily minimum wages in Metro Manila As of January 2025, workers in the non-agricultural industries in the National Capital Region (NCR) had a minimum wage of 608 Philippine pesos—the highest nationwide. Despite agriculture not being the leading industry in the region, workers in the agricultural plantation industries also had the same daily minimum wage. As of January 2024, the Philippines had one of the lowest minimum monthly wages in the Asia-Pacific region.

This statistic presents the results of a survey on perceived unemployment rate among working age population in South Korea as of ************. According to data published by Ipsos, South Korean respondents overestimated the level of unemployment in their country by ** percent. On average, the respondents thought that around ** out of every 100 South Korean people of working age were unemployed and looking for work, when the actual unemployment rate was **** percent in South Korea.

Youth Unemployment Rate in Italy decreased to 19.80 percent in October from 21.60 percent in September of 2025. This dataset provides the latest reported value for - Italy Youth Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in Finland increased to 9.60 percent in October from 9.10 percent in September of 2025. This dataset provides the latest reported value for - Finland Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The table Labor force data by county, 2018 annual averages is part of the dataset Local Area Unemployment Statistics **, available at https://redivis.com/datasets/gqcs-0rrxw8r6h. It contains 3221 rows across 9 variables.