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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 346630.
 2000 02 326599.
 2000 03 466489·
 2000 04 606520·
 2000 05 826609·
 2000 06 226707.
 2000 07 926685·
 2000 08 346607.
 2000 09 726567.
 2000 10 856696·
 2000 11 136816.
 2000 12 826938·
 2001 01  536847·
 2001 02  36701·
 2001 03  236705.
 2001 04  476853.
 2001 05  26801.
 2001 06  837011·
 2001 07  607166·
 2001 08  06910·
 2001 09  186903·
 2001 10  567042.
 2001 11  877102·
 2001 12  337284·
 2002 01 267302·
 2002 02 807300.
 2002 03 917473·
 2002 04 677316·
 2002 05 797152.
 2002 06 357231·
 2002 07 857314·
 2002 08 457263·
 2002 09 497553·
 2002 10 287574·
 2002 11 77356·
 2002 12 367493·
 2003 01  397499.
 2003 02  927417·
 2003 03  217625.
 2003 04  367521.
 2003 05  747574.
 2003 06  817629·
 2003 07  147502·
 2003 08  627339·
 2003 09  37363·
 2003 10  807605.
 2003 11  987559·
 2003 12  597554.
 2004 01 27502.
 2004 02 937426.
 2004 03 137638·
 2004 04 967726·
 2004 05 737713.
 2004 06 527882·
 2004 07 207934.
 2004 08 677770·
 2004 09 397643.
 2004 10 157713.
 2004 11 87738·
 2004 12 917915·
 2005 01  517797·
 2005 02  627790.
 2005 03  897873.
 2005 04  137669·
 2005 05  867684.
 2005 06  17970·
 2005 07  28112.
 2005 08  28267·
 2005 09  428217.
 2005 10  638090.
 2005 11  87943·
 2005 12  518075.
 2006 01 468038·
 2006 02 58226·
 2006 03 978176·
 2006 04 818072·
 2006 05 488154·
 2006 06 88199.
 2006 07 828190.
 2006 08 348394·
 2006 09 248317.
 2006 10 798190.
 2006 11 998273.
 2006 12 818293.
 2007 01  738220.
 2007 02  508377·
 2007 03  118393·
 2007 04  158128.
 2007 05  228010.
 2007 06  778052·
 2007 07  88293·
 2007 08  558419·
 2007 09  208624·
 2007 10  418548·
 2007 11  18325·
 2007 12  468440.
 2008 01 438423.
 2008 02 518437·
 2008 03 298493.
 2008 04 578440·
 2008 05 918285.
 2008 06 378356.
 2008 07 548319·
 2008 08 828247.
 2008 09 908566·
 2008 10 558693·
 2008 11 648842·
 2008 12 398941·
 2009 01  908773.
 2009 02  888762.
 2009 03  738688.
 2009 04  748738·
 2009 05  668771.
 2009 06  428658.
 2009 07  188809·
 2009 08  568871.
 2009 09  208821.
 2009 10  498992.
 2009 11  619005.
 2009 12  779091·
 2010 01 759083.
 2010 02 658869·
 2010 03 918792.
 2010 04 598758·
 2010 05 849023.
 2010 06 739192·
 2010 07 229242·
 2010 08 449332·
 2010 09 209089·
 2010 10 788985·
 2010 11 898832·
 2010 12 28810·
 2011 01  858679·
 2011 02  128707.
 2011 03  588854·
 2011 04  268843·
 2011 05  48867.
 2011 06  328946·
 2011 07  149093·
 2011 08  389306·
 2011 09  279053·
 2011 10  209087.
 2011 11  729162·
 2011 12  798925·
 2012 01 299239·
 2012 02 829536·
 2012 03 709831.
 2012 04 209626·
 2012 05 129508.
 2012 06 519482.
 2012 07 699498·
 2012 08 549590.
 2012 09 09556.
 2012 10 819671·
 2012 11 589764·
 2012 12 19942.
 2013 01  449787·
 2013 02  569893·
 2013 03  509899.
 2013 04  59906·
 2013 05  1810063·
 2013 06  819900·
 2013 07  8310096.
 2013 08  359709·
 2013 09  259663·
 2013 10  899653.
 2013 11  209606·
 2013 12  869694.
 2014 01 889427·
 2014 02 379371.
 2014 03 489448·
 2014 04 759417.
 2014 05 599412.
 2014 06 49495·
 2014 07 809374·
 2014 08 489526·
 2014 09 139642·
 2014 10 09738.
 2014 11 559829.
 2014 12 749631·
 2015 01  509517.
 2015 02  549474.
 2015 03  359536·
 2015 04  469563.
 2015 05  959741.
 2015 06  249875·
 2015 07  89840·
 2015 08  849890.
 2015 09  999852·
 2015 10  919831·
 2015 11  879916·
 2015 12  329792·
 2016 01 379932.
 2016 02 629686.
 2016 03 109654.
 2016 04 599739·
 2016 05 119815·
 2016 06 699994.
 2016 07 4010243.
 2016 08 599983·
 2016 09 449794·
 2016 10 689724·
 2016 11 649689.
 2016 12 529699.
 2017 01  889718·
 2017 02  419865.
 2017 03  969921.
 2017 04  8210077.
 2017 05  179822·
 2017 06  949965.


 2017 07  7410238.
 2017 08  1710023.
 2017 09  339858·
 2017 10  599992·
 2017 11  5910075.
 2017 12  5210064·
 2018 01 6110455.
 2018 02 9310369·
 2018 03 4110145.
 2018 04 510193·
 2018 05 509995.
 2018 06 7810230.
 2018 07 3210345.
 2018 08 2210198.
 2018 09 7710066·
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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