Skip to main content

Home > Releases > State and Metro Area Employment, Hours, and Earnings > All Employees: Retail Trade: Food and Beverage Retailers in Houston-Pasadena-The Woodlands, TX (MSA)

All Employees: Retail Trade: Food and Beverage Retailers in Houston-Pasadena-The Woodlands, TX (MSA) (SMU48264204244500001SA)

Observations

Jan 2026: 77.79711
Updated: Apr 10, 2026 11:20 AM CDT
Jan 2026:  77.79711  
Dec 2025:  77.74313  
Nov 2025:  77.19701  
Oct 2025:  77.23747  
Sep 2025:  77.27277  

Units:

Thousands of Persons,
Seasonally Adjusted

Frequency:

Monthly

Fullscreen

Notes

Title Release Dates
All Employees: Retail Trade: Food and Beverage Stores in Houston-Sugar Land-Baytown, TX (MSA) 2014-01-28 2015-03-26
All Employees: Retail Trade: Food and Beverage Stores in Houston-The Woodlands-Sugar Land, TX (MSA) 2015-03-27 2023-03-12
All Employees: Retail Trade: Food and Beverage Retailers in Houston-The Woodlands-Sugar Land, TX (MSA) 2023-03-13 2025-03-16
All Employees: Retail Trade: Food and Beverage Retailers in Houston-Pasadena-The Woodlands, TX (MSA) 2025-03-17 2026-04-08
 
Source    
U.S. Bureau of Labor Statistics 2014-01-28 2015-03-26
Federal Reserve Bank of St. Louis 2014-01-28 2015-03-26
U.S. Bureau of Labor Statistics 2015-03-27 2018-11-15
Federal Reserve Bank of St. Louis 2015-03-27 2018-11-15
U.S. Bureau of Labor Statistics 2018-11-16 2019-04-18
Federal Reserve Bank of St. Louis 2018-11-16 2019-04-18
U.S. Bureau of Labor Statistics 2019-04-19 2019-08-26
Federal Reserve Bank of St. Louis 2019-04-19 2019-08-26
U.S. Bureau of Labor Statistics 2019-08-27 2019-12-19
Federal Reserve Bank of St. Louis 2019-08-27 2019-12-19
U.S. Bureau of Labor Statistics 2019-12-20 2023-03-12
Federal Reserve Bank of St. Louis 2019-12-20 2023-03-12
U.S. Bureau of Labor Statistics 2023-03-13 2025-03-16
Federal Reserve Bank of St. Louis 2023-03-13 2025-03-16
U.S. Bureau of Labor Statistics 2025-03-17 2026-04-08
Federal Reserve Bank of St. Louis 2025-03-17 2026-04-08
 
Release    
State and Metro Area Employment, Hours, and Earnings 2014-01-28 2026-04-08
 
Units    
Thousands of Persons 2014-01-28 2026-04-08
 
Frequency    
Monthly 2014-01-28 2026-04-08
 
Seasonal Adjustment    
Seasonally Adjusted 2014-01-28 2026-04-08
 
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 http://www.census.gov/srd/www/x12a/.

2014-01-28 2018-11-15
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 X13-ARIMA-SEATS Seasonal Adjustment Program. More information on the 'x12' package can be found at https://cran.r-project.org/web/packages/x12/index.html. More information on X13-ARIMA-SEATS can be found at https://www.census.gov/srd/www/x13as/.

2018-11-16 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 2019-08-26
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 here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/srd/www/x13as/).

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. In some cases, the NSA data will be updated but the SA data will not be updated. The reason is usually that the data series has not accumulated enough new seasonal factors to trigger an adjustment.The NSA series can be located here (https://fred.stlouisfed.org/series/SMU48264204244500001) The FRED team is currently working on a new procedure to replace SA data that has not yet be updated with NSA data that has been updated.

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.

2019-08-27 2019-12-19
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' 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 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html).

Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU48264204244500001).

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.

2019-12-20 2026-04-08

Release Tables

Related Data and Content

Data Suggestions Based On Your Search

Content Suggestions

Other Formats

Monthly, Not Seasonally Adjusted

Related Categories

Houston-The Woodlands-Sugar Land, TX MSAs Texas States U.S. Regional Data Categories

Releases

More Series from State and Metro Area Employment, Hours, and Earnings

Tags

Houston Beverages Retail Trade Food Sales Retail State and Metro Area Employment, Hours, and Earnings Texas St. Louis Fed Metropolitan Statistical Area Employment Seasonally Adjusted Bureau of Labor Statistics Monthly Public Domain: Citation Requested United States of America