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US Employment and Unemployment Data
Data Science and Analytics
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About
This dataset meticulously tracks unemployment statistics across US states and selected key metropolitan areas from January 1976 to December 2022. Compiled from official figures provided by the Bureau of Labor Statistics, it offers a valuable resource for analysing historical and ongoing employment trends in America. The dataset aims to provide an objective quantitative view of unemployment, shedding light on its various statistical patterns and its contribution to broader societal issues such as the homelessness crisis. It includes data for all 50 US states, the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, and New York City.
Columns
- FIPS Code: The numeric Federal Information Processing Standards (FIPS) identifier for each state or area.
- State/Area: The name of the respective state or area.
- Year: The year when the statistics were tracked for the state or area, ranging from 1976 to 2022.
- Month: The month when the statistics were tracked for the state or area, from 1 to 12.
- Total Civilian Non-Institutional Population in State/Area: The total number of non-institutionalised civilians residing in the state or area, with values ranging from approximately 232,000 to 31.2 million.
- Total Civilian Labor Force in State/Area: The total number of civilians eligible for employment residing in the state or area, with values from around 160,000 to 19.6 million.
- Percent (%) of State/Area's Population: The percentage of civilians eligible for employment out of the total non-institutionalised civilian population, ranging from 51% to 75.7%.
- Total Employment in State/Area: The total number of civilians currently employed in the state or area, with values from approximately 149,000 to 18.8 million.
- Percent (%) of Labor Force Employed in State/Area: The percentage of currently employed civilians out of the total non-institutionalised civilian population, ranging from 41.6% to 73.1%.
- Total Unemployment in State/Area: The total number of civilians currently unemployed in the state or area, with values from around 4,980 to 3.02 million.
- Percent (%) of Labor Force Unemployed in State/Area: The percentage of currently unemployed civilians out of the total non-institutionalised civilian population, ranging from 1.9% to 30.6%.
Distribution
The dataset is provided in a tabular CSV format, specifically named 'Unemployment in America Per US State.csv', and has a file size of 3.02 MB. It consists of 11 columns and approximately 29,900 records, covering daily data over roughly 17,000 days from January 1976 to December 2022.
Usage
This dataset is ideal for:
- Conducting time series analysis to identify long-term unemployment trends.
- Understanding the dynamics of employment rates across different US states and major urban areas.
- Supporting research into economic and social issues, such as the relationship between unemployment and the homelessness crisis.
- Informing policy decisions by providing a robust historical perspective on labour market conditions.
Coverage
The dataset covers unemployment and population statistics for all 50 US states, the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, and New York City. The data spans a time range from January 1976 to December 2022, offering over four decades of monthly updates. All data are official figures compiled from the Bureau of Labor Statistics.
License
CC BY-NC-SA 4.0
Who Can Use It
This dataset is intended for a broad community interested in analysing and understanding American unemployment trends. This includes researchers, academics, data scientists, economists, public policy analysts, and journalists seeking to gain insights into labour market dynamics and their societal impacts.
Dataset Name Suggestions
- US State Unemployment Trends: 1976-2022
- American Unemployment by State
- Historical US Labour Statistics
- US Employment and Unemployment Data
- Bureau of Labor Statistics: State Unemployment
Attributes
Original Data Source: US Employment and Unemployment Data
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