The Dallas Fed has improved the quality of the payroll employment estimates for Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
The Dallas Fed has improved the quality of the payroll employment estimates for Metropolitan Areas of Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm. Please note that this annual series created by the Federal Reserve bank of Dallas was calculated based on a seasonally adjusted monthly series.
The Dallas Fed has improved the quality of the payroll employment estimates for Texas using early benchmarking and two-step seasonal adjustment. More information regarding the early benchmarking technique can be found at http://www.dallasfed.org/research/basics/benchmark.cfm. More information pertaining to two-step seasonal adjustment can be found at http://www.dallasfed.org/research/basics/twostep.cfm.
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.
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 Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
Output per worker is ratio of the amount of goods and services produced relative to the number of workers who produced that output for a given period of time.
Sectoral output is the current dollar value of output that has been adjusted for changes in inventory (gross output) and the removal goods and services shipped among related establishments, which are referred to as intra-industry and intra-sectoral shipments.
Sectoral output is the current dollar value of output that has been adjusted for changes in inventory (gross output) and the removal goods and services shipped among related establishments, which are referred to as intra-industry and intra-sectoral shipments.
Real sectoral output is the output produced that has been adjusted for changes in inventory (gross output) and the removal of goods and services shipped among related establishments, which are referred to as intra-industry and intra-sectoral shipments.
Real sectoral output is the output produced that has been adjusted for changes in inventory (gross output) and the removal of goods and services shipped among related establishments, which are referred to as intra-industry and intra-sectoral shipments.
Labor productivity describes the efficiency at which labor hours are utilized in producing output of goods and services, measured as output per hour of labor.
Labor productivity describes the efficiency at which labor hours are utilized in producing output of goods and services, measured as output per hour of labor.
An output deflator is an index of the change over time in the price of sectoral output relative to a base period.
An output deflator is an index of the change over time in the price of sectoral output relative to a base period.
Unit labor costs represent the cost of labor required to produce one unit of output. The unit labor cost indexes are computed by dividing an index of nominal industry labor compensation by an index of real industry output.
Unit labor costs represent the cost of labor required to produce one unit of output. The unit labor cost indexes are computed by dividing an index of nominal industry labor compensation by an index of real industry output.
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU17000004142500008). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU17000004142500008) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust 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/SMU17000004142500008). 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.
This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU17000004142500007). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU17000004142500007) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust 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/SMU17000004142500007). 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.
This series is discontinued and will no longer be updated. The Federal Reserve Bank of St. Louis previously calculated this seasonally adjusted (SA) series based on the not seasonally adjusted (NSA) version available here (https://fred.stlouisfed.org/series/SMU17000004142500030). However, most of the earnings-related series do not have a significant seasonal component, so the values for both the SA and the NSA series are very similar. See the NSA series (https://fred.stlouisfed.org/series/SMU17000004142500030) for updated values. The Federal Reserve Bank of St. Louis previously used to seasonally adjust 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/SMU17000004142500030). 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.
The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'x12' package from R with default parameter settings. The package uses the U.S. Bureau of the Census X-12-ARIMA Seasonal Adjustment Program. More information on the 'x12' package can be found at http://cran.r-project.org/web/packages/x12/x12.pdf. More information on X-12-ARIMA can be found at https://www.census.gov/srd/www/x13as/.
Labor compensation, defined as payroll plus supplemental payments, is a measure of the cost to the employer of securing the services of labor. Payroll includes salaries, wages, commissions, dismissal pay, bonuses, vacation and sick leave pay, and compensation in kind. Supplemental payments include both legally required expenditures and payments for voluntary programs. The legally required portion consists primarily of federal old age and survivors’ insurance, unemployment compensation, and workers’ compensation. Payments for voluntary programs include all programs not specifically required by legislation, such as the employer portion of private health insurance and pension plans.
Labor compensation, defined as payroll plus supplemental payments, is a measure of the cost to the employer of securing the services of labor. Payroll includes salaries, wages, commissions, dismissal pay, bonuses, vacation and sick leave pay, and compensation in kind. Supplemental payments include both legally required expenditures and payments for voluntary programs. The legally required portion consists primarily of federal old age and survivors’ insurance, unemployment compensation, and workers’ compensation. Payments for voluntary programs include all programs not specifically required by legislation, such as the employer portion of private health insurance and pension plans.
Output per worker is ratio of the amount of goods and services produced relative to the number of workers who produced that output for a given period of time.
Labor hours are measured as annual hours worked by all workers, including wage and salary workers, unincorporated self-employed workers, and unpaid family workers, in the production of goods and services.
Labor hours are measured as annual hours worked by all workers, including wage and salary workers, unincorporated self-employed workers, and unpaid family workers, in the production of goods and services.
Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans.
Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans.