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Home > Releases > State Employment and Unemployment > All Employees: Total Nonfarm in Texarkana, TX-AR (MSA)
Observation:
Dec 2022: 61.2 (+ more)Dec 2022: | 61.2 | |
Nov 2022: | 60.9 | |
Oct 2022: | 60.9 | |
Sep 2022: | 60.8 | |
Aug 2022: | 61.2 |
Units:
Thousands of Persons,Frequency:
MonthlyData in this graph are copyrighted. Please review the copyright information in the series notes before sharing.
Title | Release Dates | |
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All Employees: Total Nonfarm in Texarkana, TX-Texarkana, AR (MSA) | 2015-08-21 | 2020-08-11 |
All Employees: Total Nonfarm in Texarkana, TX-AR (MSA) | 2020-08-12 | 2023-01-24 |
Source | ||
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U.S. Bureau of Labor Statistics | 2015-08-21 | 2023-01-24 |
Release | ||
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Regional and State Employment and Unemployment | 2015-08-21 | 2017-03-12 |
State Employment and Unemployment | 2017-03-13 | 2023-01-24 |
Units | ||
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Thousands of Persons | 2015-08-21 | 2023-01-24 |
Frequency | ||
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Monthly | 2015-08-21 | 2023-01-24 |
Seasonal Adjustment | ||
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Seasonally Adjusted | 2015-08-21 | 2023-01-24 |
Notes | ||
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The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
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2015-08-21 | 2019-04-18 |
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodel' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodel' X-13ARIMA-SEATS package can be found at https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html. More information on X-13ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/. Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator. |
2019-04-19 | 2023-01-24 |
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