Home > Releases > State Employment and Unemployment > All Employees: Manufacturing in Alabama
Observation:
Nov 2024: 288.6 (+ more) Updated: Dec 21, 2024 4:54 AM CSTNov 2024: | 288.6 | |
Oct 2024: | 288.7 | |
Sep 2024: | 289.2 | |
Aug 2024: | 290.1 | |
Jul 2024: | 290.7 |
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 | |
|
||
All Employees: Manufacturing in Alabama | 2015-08-21 | 2024-12-20 |
Source | ||
|
||
U.S. Bureau of Labor Statistics | 2015-08-21 | 2024-12-20 |
Release | ||
|
||
Regional and State Employment and Unemployment | 2015-08-21 | 2017-03-12 |
State Employment and Unemployment | 2017-03-13 | 2024-12-20 |
Units | ||
|
||
Thousands of Persons | 2015-08-21 | 2024-12-20 |
Frequency | ||
|
||
Monthly | 2015-08-21 | 2024-12-20 |
Seasonal Adjustment | ||
|
||
Seasonally Adjusted | 2015-08-21 | 2024-12-20 |
Notes | ||
|
||
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/.
|
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 | 2024-12-20 |