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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 5910224.
 2000 02 4210417·
 2000 03 8410452.
 2000 04 210266.
 2000 05 349842.
 2000 06 229208·
 2000 07 108647·
 2000 08 708824.
 2000 09 579747·
 2000 10 839975·
 2000 11 1810245·
 2000 12 1810320.
 2001 01  7810185·
 2001 02  510295.
 2001 03  2110235·
 2001 04  9010015.
 2001 05  729896.
 2001 06  949367.
 2001 07  569367·
 2001 08  569087.
 2001 09  409882.
 2001 10  849967.
 2001 11  8810094·
 2001 12  810266.
 2002 01 810200·
 2002 02 3010490·
 2002 03 310284.
 2002 04 6810231.
 2002 05 2410207.
 2002 06 139598·
 2002 07 159165·
 2002 08 779404.
 2002 09 6610195·
 2002 10 4110348·
 2002 11 6210349.
 2002 12 710300·
 2003 01  3310421·
 2003 02  4610410.
 2003 03  510284.
 2003 04  5010330.
 2003 05  5110239·
 2003 06  839748.
 2003 07  359134.
 2003 08  279301·
 2003 09  6910104·
 2003 10  3510373·
 2003 11  6210258·
 2003 12  8110317·
 2004 01 6510153·
 2004 02 810216·
 2004 03 2510537·
 2004 04 8110755.
 2004 05 3710634·
 2004 06 3310076·
 2004 07 889267.
 2004 08 219332.
 2004 09 1110191.
 2004 10 6810447.
 2004 11 3710599·
 2004 12 2110607·
 2005 01  3810533.
 2005 02  9410358.
 2005 03  8610542·
 2005 04  2510720.
 2005 05  9310805·
 2005 06  189901·
 2005 07  729477·
 2005 08  19539.
 2005 09  7710396·
 2005 10  7110653.
 2005 11  5910577·
 2005 12  4510580·
 2006 01 1510344.
 2006 02 1010284·
 2006 03 3510465.
 2006 04 7510570.
 2006 05 5610567·
 2006 06 179778.
 2006 07 119575·
 2006 08 359779.
 2006 09 7810545·
 2006 10 9810857·
 2006 11 2711026.
 2006 12 9510869.
 2007 01  7911025.
 2007 02  8510975.
 2007 03  4511014.
 2007 04  4811032·
 2007 05  8611026·
 2007 06  3410296·
 2007 07  539817.
 2007 08  1410306.
 2007 09  4811030.
 2007 10  2810937·
 2007 11  6410995·
 2007 12  3710656·
 2008 01 4210726.
 2008 02 7211001.
 2008 03 1611164·
 2008 04 8511429·
 2008 05 6711236.
 2008 06 9910543.
 2008 07 7110013.
 2008 08 5410593.
 2008 09 4911152.
 2008 10 6511553·
 2008 11 1811444.
 2008 12 6311160.
 2009 01  3910990.
 2009 02  5110971.
 2009 03  6911032.
 2009 04  5411313·
 2009 05  1111261.
 2009 06  6510582.
 2009 07  6310002.
 2009 08  989999·
 2009 09  6710736.
 2009 10  3811199·
 2009 11  6111309.
 2009 12  8911135.
 2010 01 3111074.
 2010 02 2711012.
 2010 03 5310994·
 2010 04 4611315·
 2010 05 5410936.
 2010 06 1310513.
 2010 07 519823·
 2010 08 139732.
 2010 09 1110713.
 2010 10 310675.
 2010 11 9310702.
 2010 12 5910667.
 2011 01  310478·
 2011 02  2810652·
 2011 03  4110809.
 2011 04  7810870.
 2011 05  5510636·
 2011 06  4610080.
 2011 07  849382·
 2011 08  909524·
 2011 09  1710364.
 2011 10  3710505.
 2011 11  3510575.
 2011 12  3810593·
 2012 01 6610443·
 2012 02 910666.
 2012 03 3110547.
 2012 04 9210468·
 2012 05 010444·
 2012 06 949510·
 2012 07 369184.
 2012 08 459705.
 2012 09 4610558.
 2012 10 4710651·
 2012 11 3610507.
 2012 12 1810563·
 2013 01  5510552·
 2013 02  5010677.
 2013 03  4610737·
 2013 04  5410623·
 2013 05  110547.
 2013 06  109649·
 2013 07  39177·
 2013 08  229708.
 2013 09  8410216.
 2013 10  5910214·
 2013 11  7010361·
 2013 12  1610319.
 2014 01 3110603.
 2014 02 5410657.
 2014 03 3410726.
 2014 04 5610636·
 2014 05 9110341·
 2014 06 759595.
 2014 07 99273·
 2014 08 869391·
 2014 09 419961.
 2014 10 3110261·
 2014 11 3310403·
 2014 12 7410351·
 2015 01  7910816·
 2015 02  5111031·
 2015 03  6810861·
 2015 04  1610908.
 2015 05  3310864·
 2015 06  9310031·
 2015 07  39229·
 2015 08  299463.
 2015 09  5210162.
 2015 10  3910569.
 2015 11  4910932·
 2015 12  5910833·
 2016 01 1110948·
 2016 02 9511077·
 2016 03 4611017.
 2016 04 7411009·
 2016 05 1110898.
 2016 06 939723·
 2016 07 569390·
 2016 08 699947·
 2016 09 7810631·
 2016 10 8910844.
 2016 11 6711008.
 2016 12 6210852.
 2017 01  6110813.
 2017 02  6511167·
 2017 03  9211090·
 2017 04  9810991.
 2017 05  3611133·
 2017 06  2910101·
 2017 07  689699·
 2017 08  469802·
 2017 09  410514.


 2017 10  1010552.
 2017 11  5910693·
 2017 12  010664·
 2018 01 9010847·
 2018 02 6711214.
 2018 03 5211102·
 2018 04 8010956.
 2018 05 4410691·
 2018 06 809807.
 2018 07 619283·
 2018 08 289726.
 2018 09 4210161.
 2018 10 5610517·
 2018 11 2310488.
 2018 12 1610489·
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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

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