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 Series Title: Employed: Wage and salary workers, Health service, except hospitals: 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 16630.
 2000 02 416599·
 2000 03 446489·
 2000 04 86520·
 2000 05 526609.
 2000 06 996707.
 2000 07 746685.
 2000 08 326607·
 2000 09 86567·
 2000 10 946696·
 2000 11 436816.
 2000 12 926938.
 2001 01  176847.
 2001 02  66701·
 2001 03  636705·
 2001 04  336853·
 2001 05  566801.
 2001 06  427011·
 2001 07  727166.
 2001 08  236910.
 2001 09  266903·
 2001 10  357042·
 2001 11  337102.
 2001 12  577284.
 2002 01 507302·
 2002 02 397300.
 2002 03 347473.
 2002 04 537316·
 2002 05 817152·
 2002 06 387231·
 2002 07 877314·
 2002 08 567263·
 2002 09 937553·
 2002 10 387574·
 2002 11 327356.
 2002 12 367493·
 2003 01  867499·
 2003 02  707417.
 2003 03  307625·
 2003 04  857521.
 2003 05  867574.
 2003 06  927629.
 2003 07  707502.
 2003 08  247339.
 2003 09  447363.
 2003 10  847605·
 2003 11  647559·
 2003 12  967554.
 2004 01 347502.
 2004 02 537426.
 2004 03 517638·
 2004 04 717726.
 2004 05 577713.
 2004 06 327882.
 2004 07 927934·
 2004 08 427770.
 2004 09 397643.
 2004 10 767713.
 2004 11 777738·
 2004 12 297915·
 2005 01  307797·
 2005 02  677790·
 2005 03  187873.
 2005 04  767669.
 2005 05  57684.
 2005 06  137970·
 2005 07  538112·
 2005 08  538267.
 2005 09  658217·
 2005 10  448090·
 2005 11  447943.
 2005 12  528075·
 2006 01 358038·
 2006 02 178226.
 2006 03 808176·
 2006 04 948072·
 2006 05 668154.
 2006 06 148199.
 2006 07 748190·
 2006 08 238394.
 2006 09 328317·
 2006 10 418190·
 2006 11 638273·
 2006 12 78293.
 2007 01  358220.
 2007 02  318377·
 2007 03  108393.
 2007 04  428128.
 2007 05  998010.
 2007 06  398052·
 2007 07  48293.
 2007 08  458419·
 2007 09  758624·
 2007 10  488548·
 2007 11  578325.
 2007 12  618440·
 2008 01 398423.
 2008 02 648437·
 2008 03 78493.
 2008 04 598440.
 2008 05 908285.
 2008 06 198356.
 2008 07 168319·
 2008 08 348247·
 2008 09 558566·
 2008 10 698693·
 2008 11 748842.
 2008 12 58941.
 2009 01  838773·
 2009 02  968762.
 2009 03  928688·
 2009 04  158738.
 2009 05  518771·
 2009 06  68658.
 2009 07  88809·
 2009 08  348871.
 2009 09  588821·
 2009 10  328992·
 2009 11  879005·
 2009 12  569091.
 2010 01 299083.
 2010 02 308869.
 2010 03 148792.
 2010 04 08758.
 2010 05 169023.
 2010 06 819192·
 2010 07 49242·
 2010 08 109332.
 2010 09 939089·
 2010 10 928985·
 2010 11 948832.
 2010 12 558810.
 2011 01  618679.
 2011 02  968707.
 2011 03  478854.
 2011 04  318843·
 2011 05  468867.
 2011 06  478946·
 2011 07  509093·
 2011 08  549306·
 2011 09  979053·
 2011 10  299087.
 2011 11  189162.
 2011 12  718925.
 2012 01 909239.
 2012 02 489536.
 2012 03 879831·
 2012 04 499626·
 2012 05 269508·
 2012 06 359482.
 2012 07 219498.
 2012 08 849590·
 2012 09 309556.
 2012 10 479671.
 2012 11 79764.
 2012 12 949942·
 2013 01  529787.
 2013 02  669893.
 2013 03  599899·
 2013 04  239906.
 2013 05  6810063.
 2013 06  989900.
 2013 07  1410096.
 2013 08  419709.
 2013 09  789663·
 2013 10  759653·
 2013 11  359606·
 2013 12  419694·
 2014 01 79427.
 2014 02 539371.
 2014 03 109448·
 2014 04 439417.
 2014 05 69412·
 2014 06 159495·
 2014 07 529374.
 2014 08 929526·
 2014 09 519642.
 2014 10 679738·
 2014 11 999829.
 2014 12 559631·
 2015 01  419517.
 2015 02  409474·
 2015 03  149536·
 2015 04  279563·
 2015 05  29741.
 2015 06  919875·
 2015 07  849840·
 2015 08  289890.
 2015 09  849852.
 2015 10  29831·
 2015 11  229916·
 2015 12  19792·
 2016 01 639932·
 2016 02 809686·
 2016 03 679654.
 2016 04 169739.
 2016 05 409815·
 2016 06 569994.
 2016 07 8210243.
 2016 08 679983·
 2016 09 399794.
 2016 10 869724.
 2016 11 539689.
 2016 12 729699·
 2017 01  119718.
 2017 02  539865.
 2017 03  959921.
 2017 04  7710077.
 2017 05  329822.
 2017 06  629965.
 2017 07  4410238·
 2017 08  4910023.
 2017 09  19858.


 2017 10  479992.
 2017 11  6410075·
 2017 12  8510064.
 2018 01 4410455·
 2018 02 6210369·
 2018 03 4310145·
 2018 04 110193·
 2018 05 129995·
 2018 06 9110230.
 2018 07 9410345·
 2018 08 4310198.
 2018 09 8010066.
 2018 10 3910079.
 2018 11 5410110·
 2018 12 8010240.
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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: Employed: Wage and salary workers, Health service, except hospitals: 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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