The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6500000001

The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6562000101

The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6500000003

BEA Account Code: DHLCRC For more information about this series, please see http://www.bea.gov/national/.

The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6562440001

For further information, please refer to the US Census Bureau's Annual Services release, online at http://www.census.gov/services/.

BEA Account Code: DHLCRG For more information about this series, please see http://www.bea.gov/national/.

The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6561000001

As stated by the source, the Health Care Satellite Account presents two versions of the accounts. One version uses data from the Medical Expenditure Panel Survey (MEPS) - referred to as the "MEPS Account" - which is the only nationally representative survey that contains detailed expenditure information by disease. Due to the relatively small sample size the MEPS Account produces more volatile estimates across years. To address this issue, BEA presents a second version of the satellite account - referred to as the "Blended Account" - which blends together data from multiple sources, including large claims databases that cover millions of enrollees and billions of claims. The key difference is that the MEPS Account and Blended Account use different methodologies and data sources to allocate expenditures across different diseases within the medical services by disease category. For more information see http://www.bea.gov/national/health_care_satellite_account.htm

The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6562000001

The series comes from the 'Current Population Survey (Household Survey)' The source code is: LNU04032240

A measure of spending on goods and services purchased by, and on behalf of, households based on households' state of residence in the fifty states and the District of Columbia. Spending on outpatient services and hospital and nursing home services. Outpatient services consist of physician services, dental services, and paramedical services.For more information about this release go to http://www.bea.gov/newsreleases/regional/pce/pce_newsrelease.htm.

For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_state/qgsp_newsrelease.htm.

This series is seasonally adjusted by the U.S. Bureau of Labor Statistics.

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: CES6500000008

The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6562300001

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 (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/srd/www/x13as/). 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/SAVA313EDUHN). 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.

BEA Account Code: DHLCRX For more information about this series, please see http://www.bea.gov/national/.

As stated by the source, the Health Care Satellite Account presents two versions of the accounts. One version uses data from the Medical Expenditure Panel Survey (MEPS) - referred to as the "MEPS Account" - which is the only nationally representative survey that contains detailed expenditure information by disease. Due to the relatively small sample size the MEPS Account produces more volatile estimates across years. To address this issue, BEA presents a second version of the satellite account - referred to as the "Blended Account" - which blends together data from multiple sources, including large claims databases that cover millions of enrollees and billions of claims. The key difference is that the MEPS Account and Blended Account use different methodologies and data sources to allocate expenditures across different diseases within the medical services by disease category. For more information see http://www.bea.gov/national/health_care_satellite_account.htm

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 (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/srd/www/x13as/). 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/MIDL248EDUHN). 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 '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 (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/srd/www/x13as/). 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/ODES248EDUHN). 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 series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6562200001

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 (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/srd/www/x13as/). 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/SMU22000006500000002). 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 '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 (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/srd/www/x13as/). 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/SMU36000006562120001). 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 '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 (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/srd/www/x13as/). 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/SACR906EDUHN). 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.

As stated by the source, the Health Care Satellite Account presents two versions of the accounts. One version uses data from the Medical Expenditure Panel Survey (MEPS) - referred to as the "MEPS Account" - which is the only nationally representative survey that contains detailed expenditure information by disease. Due to the relatively small sample size the MEPS Account produces more volatile estimates across years. To address this issue, BEA presents a second version of the satellite account - referred to as the "Blended Account" - which blends together data from multiple sources, including large claims databases that cover millions of enrollees and billions of claims. The key difference is that the MEPS Account and Blended Account use different methodologies and data sources to allocate expenditures across different diseases within the medical services by disease category. For more information see http://www.bea.gov/national/health_care_satellite_account.htm

The term "Educational Services" is used in both the SIC system and in NAICS, but it does not have the same definition in both systems. SIC definition: This SIC major group (82) includes establishments providing academic or technical instruction. Also included are establishments providing educational services such as libraries, student exchange programs, and curriculum development. Schools for the instruction of beauticians and cosmetologists are classified in Industry 7231, and barber colleges are classified in Industry 7241. Establishments primarily engaged in providing job training for the unemployed, the underemployed, the handicapped, and to persons who have a job market disadvantage because of lack of education, job skill or experience are classified in Industry 8331. NAICS definition: The Educational Services (NAICS) sector comprises establishments that provide instruction and training in a wide variety of subjects. This instruction and training is provided by specialized establishments, such as schools, colleges, universities, and training centers. These establishments may be privately owned and operated for profit or not for profit, or they may be publicly owned and operated. They may also offer food and accommodation services to their students. For the public sector, the income and employment are classified by level of government- federal, state, and local. The estimates for the federal government are sub classified into civilian and military. The different treatment of the private and public sectors means that BEA's state and local government industry includes public education, public hospitals, and other types of government services while BEA reports only private schools in its educational services industry corresponding to NAICS code 61 and only private hospitals in its hospitals industry corresponding to NAICS code 622. Educational services (NAICS) are usually delivered by teachers or instructors that explain, tell, demonstrate, supervise, and direct learning. Instruction is imparted in diverse settings, such as educational institutions, the workplace, or the home through correspondence, television, or other means. It can be adapted to the particular needs of the students, for example sign language can replace verbal language for teaching students with hearing impairments. All industries in the sector share this commonality of process, namely, labor inputs of instructors with the requisite subject matter expertise and teaching ability. Consists of all counties in a state that are parts of metropolitan statistical areas. For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES6562310001

As stated by the source, the Health Care Satellite Account presents two versions of the accounts. One version uses data from the Medical Expenditure Panel Survey (MEPS) - referred to as the "MEPS Account" - which is the only nationally representative survey that contains detailed expenditure information by disease. Due to the relatively small sample size the MEPS Account produces more volatile estimates across years. To address this issue, BEA presents a second version of the satellite account - referred to as the "Blended Account" - which blends together data from multiple sources, including large claims databases that cover millions of enrollees and billions of claims. The key difference is that the MEPS Account and Blended Account use different methodologies and data sources to allocate expenditures across different diseases within the medical services by disease category. For more information see http://www.bea.gov/national/health_care_satellite_account.htm