FRED Graph
1Y |
5Y |
10Y |
Max
NOTES
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
Source: U.S. Census Bureau
Release: Housing Units Authorized By Building Permits
Units:
Frequency:
Notes:
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. More information on X-13ARIMA-SEATS can be found here.
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 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.
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, December 6, 2019.
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, December 6, 2019.
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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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