Production and related employees include working supervisors and all nonsupervisory employees (including group leaders and trainees) engaged in fabricating, processing, assembling, inspecting, receiving, storing, handling, packing, warehousing, shipping, trucking, hauling, maintenance, repair, janitorial, guard services, product development, auxiliary production for plant's own use (for example, power plant), recordkeeping, and other services closely associated with the above production operations. #Nonsupervisory employees include those individuals in private, service-providing industries who are not above the working-supervisor level. This group includes individuals such as office and clerical workers, repairers, salespersons, operators, drivers, physicians, lawyers, accountants, nurses, social workers, research aides, teachers, drafters, photographers, beauticians, musicians, restaurant workers, custodial workers, attendants, line installers and repairers, laborers, janitors, guards, and other employees at similar occupational levels whose services are closely associated with those of the employees listed. The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES2000000008
Starting with the 2005-02-16 release, the series reflects an increase in the universe of permit-issuing places from 19,000 to 20,000 places.
OECD Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: EA19 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: JPN 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)).
Gross output is a measure of an industry's sales or receipts, which can include sales to final users in the economy (GDP) or sales to other industries (intermediate inputs).
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
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 Data Filters: REF_AREA: JPN 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)).
For further information, please refer to the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices release, online at http://www.federalreserve.gov/boarddocs/SnLoanSurvey/.
Starting with the 2005-02-16 release, the series reflects an increase in the universe of permit-issuing places from 19,000 to 20,000 places.
Copyright, 2016, Automatic Data Processing, Inc. ("ADP").
OECD Descriptor ID: ODCNPI03 OECD unit ID: PC OECD country ID: EA19 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: WSCNDW01 OECD unit ID: NBR OECD country ID: USA 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: WSCNDW01 OECD unit ID: NBR OECD country ID: JPN 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/SMU06000002023610001). 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: GBR 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 Descriptor ID: PRINTO01 OECD unit ID: PC OECD country ID: DEU 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 January 2023 report presents the scheduled annual revision of the ADP National Employment Report (NER), which updates the data series to be consistent with the annual Quarterly Census of Employment and Wages (QCEW) benchmark data through March 2022. This is a recurring process that happens every year, and is a common practice for reports of this nature. In addition to this regular, annual update, the NER weighting methodology was revised to facilitate an easier comparison of total employment estimates between the NER and QCEW; monthly aggregates now leverage weekly seasonal adjustments rather than a separate monthly seasonal adjustment; and the national aggregate is now constructed from industry aggregates. There was also a refinement in the labeling methodology which is used to determine how various employment sources fall into a particular industry and geography definitions. These changes were applied retroactively to the 13-year history of the NER.
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: WSCNDW01 OECD unit ID: NBR 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
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
Includes wages, salaries, and employer costs for employee benefits.
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
Employment is the total number of wage and salary workers, unincorporated self-employed workers, and unpaid family workers working within business establishments. An individual who works multiple jobs at separate establishments would have each job included in the number of employees.
The core business applications series that correspond to a subset of all applications for an Employer Identification Number (EIN). Includes all applications for an EIN, except for applications for tax liens, estates, trusts, certain financial filings, applications outside of the 50 states and DC or with no state-county geocodes, applications with certain NAICS codes in sector 11 (agriculture, forestry, fishing and hunting) or 92 (public administration) that have low transition rates, and applications in certain industries (e.g. private households, civic and social organizations). See the U.S. Census's FAQs (https://www.census.gov/econ/bfs/faqs.html) for more details.
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 Data Filters: REF_AREA: IND 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)).
Industry based on North American Industry Classification System (NAICS). Please consult the U.S. Census Bureau (http://www.census.gov/eos/www/naics/) for additional information about NAICS.
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: CES2023700001
OECD Data Filters: REF_AREA: CAN 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: FRA 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)).
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
Census discontinued SAAR 2-4 unit-structures because tests for identifiable and stable seasonality do not meet reliability standards for publication. It is calculated by Haver Analytics by subtracting 1-unit structures and 5-unit structures from total housing starts. Copyright, 2016, Haver Analytics. Reprinted with permission.
OECD Descriptor ID: ODCNPI03 OECD unit ID: NBR OECD country ID: DEU 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: ITA 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: KOR 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)).