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The claims data contained on the ETA 539 report are used in current economic analysis of unemployment trends in the Nation, and in each state. Included with this resouce are both the ETA 539's historical raw data and a copy of the U.S. Department of Labor ETA´s weekly release "Unemployment Insurance Claims" report. Comments within the report serve to offer further context to recent data reflected in the raw data files.
Overview
The claims data contained on the ETA 539 report are used in current economic analysis of unemployment trends in the Nation, and in each state. Included with this resouce are both the ETA 539's historical raw data and a copy of the U.S. Department of Labor ETA´s weekly release "Unemployment Insurance Claims" report. Comments within the report serve to offer further context to recent data reflected in the raw data files.
Data Sources
- US Department of Labor ETA 539 raw data, Weekly Claims and Extended Benefits Trigger Data
- US Department of Labor ETA´s weekly release "Unemployment Insurance Claims" report
The dataset follows a format of 1 row per state for a given week. The columns are:
st, rptdate, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16, c17, c18, c19, c20, c21, c22, c23, curdate, priorwk_pub, priorwk
More Information:
- Source: ETA Unemployment Insurance Data
- Home Page: US Department of Labor
- Terms of Use
- Frequency: Weekly
Contact/Support Information
- If you find any issues with or have enhancement ideas for this product, open up a GitHub issue and we will gladly take a look at it. Any contributions you make are greatly appreciated :heart:.
- If you are interested in any other open datasets, please create a request on our project board here .
- If you have questions about the source data, please contact the US Department of Labor.
- If you have any other questions or feedback, send us an email at data@rearc.io .
About Rearc
Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Unemployment Insurance Weekly Claims Data | US Department of Labor (DOL) | All historical revisions | All future revisions | Not included | Not included |
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