FRED Graph
Federal Reserve Economic Data: Your trusted data source since 1991
Your trusted data source
since 1991.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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, May 16, 2024.
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New Private Housing Units Authorized by Building Permits for Utah
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Utah
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for California
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in California
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Vermont
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Vermont
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Texas
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Texas
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Mississippi
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Mississippi
Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Colorado
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Colorado
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Massachusetts
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Massachusetts
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Nevada
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Nevada
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Florida
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Florida
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Arizona
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Arizona
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Indiana
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Indiana
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedNew Private Housing Units Authorized by Building Permits for Delaware
Monthly, Not Seasonally AdjustedAll Employees: Total Nonfarm in Delaware
3-Month Average Change, Thousands of Persons, Monthly, Seasonally Adjusted Annual, Not Seasonally Adjusted Monthly, Not Seasonally AdjustedRelated Categories
Utah
States
U.S. Regional Data
California
Vermont
Texas
Mississippi
Colorado
Massachusetts
Nevada
Florida
Arizona
Indiana
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Series from Housing Units Authorized By Building Permits
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Series from State Employment and Unemployment
