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 Series Title: Total employed government wage and salary workers in Education and health services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 8910224·
 2000 02 4110417.
 2000 03 6810452·
 2000 04 3610266.
 2000 05 349842·
 2000 06 549208.
 2000 07 888647.
 2000 08 618824·
 2000 09 779747.
 2000 10 969975.
 2000 11 4010245.
 2000 12 1610320·
 2001 01  6710185·
 2001 02  5010295·
 2001 03  3810235·
 2001 04  4510015.
 2001 05  819896.
 2001 06  229367·
 2001 07  189367.
 2001 08  189087·
 2001 09  189882.
 2001 10  439967.
 2001 11  4410094.
 2001 12  2810266.
 2002 01 510200·
 2002 02 7110490.
 2002 03 410284.
 2002 04 9410231·
 2002 05 9110207.
 2002 06 879598·
 2002 07 119165·
 2002 08 619404·
 2002 09 5210195.
 2002 10 9710348.
 2002 11 210349·
 2002 12 9710300·
 2003 01  8910421.
 2003 02  3310410·
 2003 03  4010284·
 2003 04  9810330·
 2003 05  2610239.
 2003 06  539748·
 2003 07  149134.
 2003 08  819301·
 2003 09  1410104·
 2003 10  3610373.
 2003 11  3510258.
 2003 12  9210317·
 2004 01 2910153.
 2004 02 9110216.
 2004 03 4310537.
 2004 04 9910755.
 2004 05 7110634·
 2004 06 4910076.
 2004 07 09267·
 2004 08 969332·
 2004 09 6510191·
 2004 10 6610447·
 2004 11 9410599.
 2004 12 310607.
 2005 01  6210533·
 2005 02  2410358·
 2005 03  3710542·
 2005 04  6410720.
 2005 05  3610805·
 2005 06  309901.
 2005 07  689477·
 2005 08  489539.
 2005 09  8910396.
 2005 10  1510653·
 2005 11  5010577·
 2005 12  4910580·
 2006 01 4610344.
 2006 02 3610284·
 2006 03 7010465.
 2006 04 8510570·
 2006 05 5810567·
 2006 06 759778·
 2006 07 419575·
 2006 08 39779.
 2006 09 9810545.
 2006 10 3810857.
 2006 11 211026.
 2006 12 6910869·
 2007 01  6911025·
 2007 02  5710975·
 2007 03  1411014·
 2007 04  8011032·
 2007 05  9611026.
 2007 06  8810296·
 2007 07  679817·
 2007 08  5210306·
 2007 09  2811030·
 2007 10  1410937·
 2007 11  7210995.
 2007 12  3210656·
 2008 01 4110726.
 2008 02 4011001·
 2008 03 6811164.
 2008 04 8811429·
 2008 05 3611236.
 2008 06 9910543.
 2008 07 1810013.
 2008 08 1410593.
 2008 09 3711152.
 2008 10 4711553·
 2008 11 1011444.
 2008 12 2911160.
 2009 01  9610990.
 2009 02  6510971.
 2009 03  5511032.
 2009 04  7811313.
 2009 05  8811261·
 2009 06  6110582·
 2009 07  9310002.
 2009 08  299999·
 2009 09  1310736·
 2009 10  6611199.
 2009 11  8711309.
 2009 12  7711135.
 2010 01 9711074·
 2010 02 3711012.
 2010 03 2310994·
 2010 04 4111315·
 2010 05 8910936.
 2010 06 5510513.
 2010 07 159823.
 2010 08 659732·
 2010 09 6610713.
 2010 10 2710675.
 2010 11 210702.
 2010 12 1810667·
 2011 01  2710478·
 2011 02  8410652·
 2011 03  4510809·
 2011 04  9410870.
 2011 05  9910636.
 2011 06  8410080·
 2011 07  329382.
 2011 08  139524·
 2011 09  3110364.
 2011 10  810505.
 2011 11  7710575.
 2011 12  1810593.
 2012 01 9910443·
 2012 02 6210666.
 2012 03 1810547·
 2012 04 7910468.
 2012 05 310444·
 2012 06 789510·
 2012 07 179184.
 2012 08 899705·
 2012 09 6910558.
 2012 10 1310651.
 2012 11 6210507·
 2012 12 6910563·
 2013 01  4710552·
 2013 02  4810677.
 2013 03  6710737.
 2013 04  6210623·
 2013 05  1210547·
 2013 06  919649·
 2013 07  689177·
 2013 08  379708.
 2013 09  6510216·
 2013 10  7210214·
 2013 11  2910361.
 2013 12  8810319.
 2014 01 3110603·
 2014 02 4810657·
 2014 03 3810726·
 2014 04 3510636.
 2014 05 6110341.
 2014 06 29595.
 2014 07 89273·
 2014 08 229391·
 2014 09 309961.
 2014 10 3910261.
 2014 11 7610403.
 2014 12 1710351·
 2015 01  3910816·
 2015 02  9111031·
 2015 03  610861·
 2015 04  1610908·
 2015 05  1210864·
 2015 06  1610031·
 2015 07  859229·
 2015 08  369463.
 2015 09  010162.
 2015 10  9410569·
 2015 11  2610932·
 2015 12  2310833·
 2016 01 7910948·
 2016 02 3211077.
 2016 03 6811017.
 2016 04 4511009·
 2016 05 4810898·
 2016 06 619723.
 2016 07 729390.
 2016 08 979947·
 2016 09 3510631.
 2016 10 4010844·
 2016 11 2711008.
 2016 12 9710852·
 2017 01  8710813·
 2017 02  4811167.
 2017 03  4711090.
 2017 04  9110991.


 2017 05  8211133·
 2017 06  9310101.
 2017 07  679699.
 2017 08  469802·
 2017 09  2010514.
 2017 10  710552·
 2017 11  5310693.
 2017 12  5710664.
 2018 01 2510847.
 2018 02 4611214·
 2018 03 9111102.
 2018 04 4310956·
 2018 05 4910691.
 2018 06 919807·
 2018 07 949283·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Total employed government wage and salary workers in Education and health services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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