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 Series Title: Employed: Wage and salary workers, Health service, except hospitals: NSA
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 2000 01 766630·
 2000 02 06599.
 2000 03 326489·
 2000 04 06520·
 2000 05 546609·
 2000 06 506707·
 2000 07 426685·
 2000 08 186607·
 2000 09 436567.
 2000 10 426696.
 2000 11 976816.
 2000 12 796938.
 2001 01  926847.
 2001 02  576701.
 2001 03  106705·
 2001 04  266853·
 2001 05  776801·
 2001 06  47011.
 2001 07  187166·
 2001 08  296910·
 2001 09  996903·
 2001 10  127042.
 2001 11  847102.
 2001 12  827284.
 2002 01 827302.
 2002 02 397300.
 2002 03 967473.
 2002 04 47316·
 2002 05 777152·
 2002 06 677231.
 2002 07 687314.
 2002 08 397263·
 2002 09 597553.
 2002 10 17574.
 2002 11 367356.
 2002 12 567493.
 2003 01  297499·
 2003 02  757417·
 2003 03  657625·
 2003 04  507521·
 2003 05  137574.
 2003 06  447629.
 2003 07  417502.
 2003 08  397339.
 2003 09  607363.
 2003 10  897605·
 2003 11  787559.
 2003 12  687554.
 2004 01 467502.
 2004 02 197426.
 2004 03 137638.
 2004 04 57726.
 2004 05 727713.
 2004 06 637882·
 2004 07 107934.
 2004 08 467770.
 2004 09 627643·
 2004 10 807713.
 2004 11 567738·
 2004 12 97915.
 2005 01  677797·
 2005 02  507790·
 2005 03  657873·
 2005 04  387669·
 2005 05  637684.
 2005 06  807970·
 2005 07  738112.
 2005 08  28267·
 2005 09  508217·
 2005 10  28090.
 2005 11  457943·
 2005 12  968075.
 2006 01 538038·
 2006 02 728226·
 2006 03 678176·
 2006 04 398072.
 2006 05 238154·
 2006 06 738199·
 2006 07 548190·
 2006 08 748394·
 2006 09 368317.
 2006 10 108190·
 2006 11 428273·
 2006 12 718293·
 2007 01  908220·
 2007 02  168377·
 2007 03  948393.
 2007 04  258128.
 2007 05  138010.
 2007 06  478052.
 2007 07  998293.
 2007 08  538419·
 2007 09  548624.
 2007 10  848548·
 2007 11  708325·
 2007 12  18440.
 2008 01 888423·
 2008 02 358437·
 2008 03 448493.
 2008 04 388440.
 2008 05 178285.
 2008 06 318356.
 2008 07 838319·
 2008 08 578247·
 2008 09 658566.
 2008 10 288693.
 2008 11 778842.
 2008 12 788941·
 2009 01  838773·
 2009 02  98762.
 2009 03  388688.
 2009 04  458738·
 2009 05  468771.
 2009 06  798658·
 2009 07  48809·
 2009 08  278871·
 2009 09  558821.
 2009 10  718992·
 2009 11  379005.
 2009 12  189091·
 2010 01 349083·
 2010 02 418869·
 2010 03 268792.
 2010 04 378758.
 2010 05 369023·
 2010 06 719192·
 2010 07 839242.
 2010 08 299332.
 2010 09 349089.
 2010 10 678985·
 2010 11 478832·
 2010 12 638810·
 2011 01  298679·
 2011 02  628707.
 2011 03  808854.
 2011 04  328843.
 2011 05  478867.
 2011 06  118946·
 2011 07  709093·
 2011 08  569306.
 2011 09  389053·
 2011 10  969087.
 2011 11  319162.
 2011 12  808925·
 2012 01 779239.
 2012 02 259536.
 2012 03 999831.
 2012 04 719626.
 2012 05 659508.
 2012 06 289482.
 2012 07 389498.
 2012 08 259590.
 2012 09 279556·
 2012 10 629671·
 2012 11 369764·
 2012 12 609942·
 2013 01  139787·
 2013 02  109893·
 2013 03  59899·
 2013 04  219906.
 2013 05  010063.
 2013 06  779900·
 2013 07  8410096·
 2013 08  779709.
 2013 09  879663.
 2013 10  959653·
 2013 11  359606·
 2013 12  229694.
 2014 01 999427.
 2014 02 219371.
 2014 03 479448.
 2014 04 749417.
 2014 05 889412.
 2014 06 369495·
 2014 07 319374·
 2014 08 799526.
 2014 09 289642.
 2014 10 489738·
 2014 11 279829.
 2014 12 59631.
 2015 01  209517.
 2015 02  879474.
 2015 03  979536.
 2015 04  479563.
 2015 05  909741·
 2015 06  119875.
 2015 07  289840.
 2015 08  239890.
 2015 09  879852·
 2015 10  09831.
 2015 11  359916.
 2015 12  789792.
 2016 01 879932·
 2016 02 639686·
 2016 03 549654.
 2016 04 819739·
 2016 05 909815·
 2016 06 309994·
 2016 07 4810243.
 2016 08 269983·
 2016 09 239794·
 2016 10 579724·
 2016 11 69689.
 2016 12 329699.
 2017 01  349718·


 2017 02  289865.
 2017 03  409921.
 2017 04  4310077·
 2017 05  19822·
 2017 06  479965·
 2017 07  8910238.
 2017 08  2910023·
 2017 09  229858.
 2017 10  489992.
 2017 11  1410075·
 2017 12  8310064.
 2018 01 2410455·
 2018 02 8610369·
 2018 03 410145·
 2018 04 2510193.
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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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