FRED Graph
1Y |
5Y |
10Y |
Max
NOTES
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Utah [UTBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UTBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Utah [UTNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UTNA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for California [CABPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CABPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in California [CANA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CANA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Vermont [VTBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/VTBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Vermont [VTNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/VTNA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Texas [TXBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/TXBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Texas [TXNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/TXNA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Mississippi [MSNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MSNA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Mississippi [MSBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MSBPPRIVSA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Colorado [COBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/COBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Colorado [CONA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CONA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Massachusetts [MABPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MABPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Massachusetts [MANA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MANA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Nevada [NVBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/NVBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Nevada [NVNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/NVNA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Florida [FLBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/FLBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Florida [FLNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/FLNA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Arizona [AZBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/AZBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Arizona [AZNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/AZNA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Indiana [INBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/INBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Indiana [INNA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/INNA, September 25, 2022.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more.
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. More information on X-13ARIMA-SEATS can be found here.
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.
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.
Suggested Citation:
U.S. Census Bureau, New Private Housing Units Authorized by Building Permits for Delaware [DEBPPRIVSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DEBPPRIVSA, September 25, 2022.
Source: U.S. Bureau of Labor Statistics
Release: State Employment and Unemployment
Units:
Frequency:
Suggested Citation:
U.S. Bureau of Labor Statistics, All Employees: Total Nonfarm in Delaware [DENA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/DENA, September 25, 2022.
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3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedRelated Categories
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