Definitions related to the construction data can be found at https://www.census.gov/construction/c30/definitions.html Methodology details can be found at https://www.census.gov/construction/c30/methodology.html
This data series is part of the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS). The purpose of the survey is to provide qualitative and limited quantitative information on bank credit availability and loan demand, as well as on evolving developments and lending practices in the U.S. loan markets. A portion of each survey typically covers special topics of timely interest. For more detail, refer to the Board's supporting statement (https://www.federalreserve.gov/data/sloos/about.htm).
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/SMU48191242023600001). 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.
OECD descriptor ID: ODCNPI03 OECD unit ID: GPSA OECD country ID: CHE All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.
OECD Data Filters: REF_AREA: JPN MEASURE: WSDW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: SWE MEASURE: WSDW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: AUT All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Data Filters: REF_AREA: LUX MEASURE: PRVM UNIT_MEASURE: GR ACTIVITY: BTE ADJUSTMENT: Y TRANSFORMATION: G1 FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: SWE All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Data Filters: REF_AREA: DEU MEASURE: NODW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
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/SMU37167402023600001). 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.
OECD Data Filters: REF_AREA: LUX MEASURE: PRVM UNIT_MEASURE: GR ACTIVITY: F ADJUSTMENT: Y TRANSFORMATION: GY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
Wage Rates Are The Average Of Rates Per Hour In 20 Cities For Bricklayers, Carpenters, And Ironworkers On The First Day Of The Month. Source: Engineering News Record, For 1922-1923 Data: Construction Costs, 1937; For 1924-1925: June 30, 1938 Issue; For 1926-1950: Issues Of May 27, 1948 And March 23, 1950 Of Engineering News Record; And Survey Of Current Business. This NBER data series m08258 appears on the NBER website in Chapter 8 at http://www.nber.org/databases/macrohistory/contents/chapter08.html. NBER Indicator: m08258
OECD Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: CHE All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Data Filters: REF_AREA: ESP MEASURE: PRVM UNIT_MEASURE: IX ACTIVITY: BTE ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: AUS MEASURE: WSDW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
Definitions related to the construction data can be found at https://www.census.gov/construction/c30/definitions.html Methodology details can be found at https://www.census.gov/construction/c30/methodology.html
OECD Descriptor ID: PRINTO01 OECD unit ID: CAD OECD country ID: CAN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Data Filters: REF_AREA: GBR MEASURE: WSDW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: PRT All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: NOR All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
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/SMU53426602000000001). 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.
OECD Data Filters: REF_AREA: TUR MEASURE: PRVM UNIT_MEASURE: GR ACTIVITY: BTE ADJUSTMENT: Y TRANSFORMATION: GY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: USA MEASURE: WSDW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Descriptor ID: ODCNPI03 OECD unit ID: NBR OECD country ID: FRA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Data Filters: REF_AREA: CAN MEASURE: WSDW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: USA MEASURE: PRVM UNIT_MEASURE: IX ACTIVITY: BTE ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: LUX MEASURE: PRVM UNIT_MEASURE: IX ACTIVITY: BTE ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: ESP MEASURE: WSDW UNIT_MEASURE: IX ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Descriptor ID: OPCNTT01 OECD unit ID: IDX OECD country ID: BRA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
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/SMU40000002023620001). 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.
Construction employees in the construction sector include: Working supervisors, qualified craft workers, mechanics, apprentices, helpers, laborers, and so forth, engaged in new work, alterations, demolition, repair, maintenance, and the like, whether working at the site of construction or in shops or yards at jobs (such as precutting and preassembling) ordinarily performed by members of the construction trades. The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES2023600001
OECD Data Filters: REF_AREA: FRA MEASURE: PRVM UNIT_MEASURE: IX ACTIVITY: F ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: Q All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: FRA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Data Filters: REF_AREA: OECDE MEASURE: PRVM UNIT_MEASURE: GR ACTIVITY: F ADJUSTMENT: Y TRANSFORMATION: G1 FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
OECD Data Filters: REF_AREA: POL MEASURE: PRVM UNIT_MEASURE: IX ACTIVITY: BTE ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
BEA Account Code: C269RC For more information about this series, please see http://www.bea.gov/national/.
OECD Data Filters: REF_AREA: LUX MEASURE: PRVM UNIT_MEASURE: IX ACTIVITY: F ADJUSTMENT: Y TRANSFORMATION: _Z TIME_HORIZ: _Z METHODOLOGY: N FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).
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/SMU48264202000000001). 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.
For further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/.
Construction employees in the construction sector include: Working supervisors, qualified craft workers, mechanics, apprentices, helpers, laborers, and so forth, engaged in new work, alterations, demolition, repair, maintenance, and the like, whether working at the site of construction or in shops or yards at jobs (such as precutting and preassembling) ordinarily performed by members of the construction trades. To obtain estimates of women worker employment, the ratio of weighted women employees to the weighted all employees in the sample is assumed to equal the same ratio in the universe. The current month's women worker ratio, thus, is estimated and then multiplied by the all-employee estimate. The weighted-difference-link-and-taper formula (described in the source) is used to estimate the current month's women worker ratio. This formula adds the change in the matched sample's women worker ratio (the weighted-difference link) to the prior month's estimate, which has been slightly modified to reflect changes in the sample composition (the taper). The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES2000000010
Definitions related to the construction data can be found at https://www.census.gov/construction/c30/definitions.html Methodology details can be found at https://www.census.gov/construction/c30/methodology.html
OECD Descriptor ID: PRINTO01 OECD unit ID: NZD OECD country ID: NZL All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission
OECD Data Filters: REF_AREA: FIN MEASURE: NODW UNIT_MEASURE: GR ACTIVITY: F41 ADJUSTMENT: Y TRANSFORMATION: G1 FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).