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 Series Title: Employed: Wage and salary workers, Health service, except hospitals: NSA
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 2000 01 376630.
 2000 02 266599·
 2000 03 356489.
 2000 04 646520·
 2000 05 426609·
 2000 06 966707·
 2000 07 586685.
 2000 08 906607·
 2000 09 316567.
 2000 10 836696·
 2000 11 26816.
 2000 12 336938.
 2001 01  576847.
 2001 02  686701·
 2001 03  786705.
 2001 04  386853·
 2001 05  936801·
 2001 06  607011.
 2001 07  257166·
 2001 08  736910.
 2001 09  416903·
 2001 10  887042.
 2001 11  47102.
 2001 12  347284·
 2002 01 257302·
 2002 02 107300·
 2002 03 57473.
 2002 04 387316·
 2002 05 967152·
 2002 06 87231.
 2002 07 417314·
 2002 08 307263·
 2002 09 307553·
 2002 10 877574.
 2002 11 487356.
 2002 12 807493.
 2003 01  267499·
 2003 02  807417·
 2003 03  907625·
 2003 04  817521.
 2003 05  117574.
 2003 06  447629.
 2003 07  557502.
 2003 08  537339·
 2003 09  347363.
 2003 10  607605.
 2003 11  557559·
 2003 12  397554·
 2004 01 717502.
 2004 02 347426·
 2004 03 297638.
 2004 04 97726.
 2004 05 237713·
 2004 06 987882.
 2004 07 407934.
 2004 08 577770.
 2004 09 147643.
 2004 10 107713.
 2004 11 757738·
 2004 12 27915.
 2005 01  967797·
 2005 02  507790·
 2005 03  477873.
 2005 04  897669·
 2005 05  437684·
 2005 06  257970.
 2005 07  948112·
 2005 08  858267.
 2005 09  568217·
 2005 10  678090·
 2005 11  807943.
 2005 12  878075.
 2006 01 618038·
 2006 02 328226.
 2006 03 918176.
 2006 04 128072.
 2006 05 78154.
 2006 06 38199·
 2006 07 418190·
 2006 08 48394.
 2006 09 708317·
 2006 10 858190·
 2006 11 688273.
 2006 12 348293.
 2007 01  518220.
 2007 02  118377·
 2007 03  348393·
 2007 04  958128·
 2007 05  758010·
 2007 06  368052·
 2007 07  288293.
 2007 08  68419·
 2007 09  928624.
 2007 10  448548·
 2007 11  628325·
 2007 12  118440·
 2008 01 778423·
 2008 02 408437·
 2008 03 748493.
 2008 04 808440.
 2008 05 328285.
 2008 06 558356·
 2008 07 288319.
 2008 08 78247·
 2008 09 818566·
 2008 10 478693.
 2008 11 108842·
 2008 12 108941.
 2009 01  758773.
 2009 02  988762.
 2009 03  358688.
 2009 04  348738·
 2009 05  908771.
 2009 06  138658.
 2009 07  398809.
 2009 08  498871.
 2009 09  258821.
 2009 10  258992.
 2009 11  869005.
 2009 12  479091·
 2010 01 69083.
 2010 02 908869.
 2010 03 638792.
 2010 04 498758.
 2010 05 839023·
 2010 06 909192.
 2010 07 849242.
 2010 08 989332.
 2010 09 329089·
 2010 10 318985·
 2010 11 878832·
 2010 12 658810.
 2011 01  548679·
 2011 02  458707·
 2011 03  348854.
 2011 04  418843.
 2011 05  738867.
 2011 06  908946.
 2011 07  129093·
 2011 08  489306.
 2011 09  409053.
 2011 10  459087.
 2011 11  369162·
 2011 12  298925.
 2012 01 309239.
 2012 02 189536.
 2012 03 439831.
 2012 04 539626·
 2012 05 449508·
 2012 06 419482.
 2012 07 969498·
 2012 08 149590·
 2012 09 79556.
 2012 10 719671.
 2012 11 829764.
 2012 12 329942.
 2013 01  709787·
 2013 02  889893·
 2013 03  159899.
 2013 04  509906·
 2013 05  810063·
 2013 06  09900·
 2013 07  3310096·
 2013 08  389709.
 2013 09  219663.
 2013 10  389653·
 2013 11  989606.
 2013 12  909694·
 2014 01 359427·
 2014 02 599371.
 2014 03 989448·
 2014 04 259417.
 2014 05 09412·
 2014 06 449495.
 2014 07 479374·
 2014 08 889526·
 2014 09 919642.
 2014 10 09738.
 2014 11 819829·
 2014 12 469631·
 2015 01  99517·
 2015 02  609474·
 2015 03  649536·
 2015 04  959563.
 2015 05  809741·
 2015 06  789875.
 2015 07  859840·
 2015 08  549890.
 2015 09  539852·
 2015 10  389831·
 2015 11  559916·
 2015 12  669792.
 2016 01 49932.
 2016 02 459686.
 2016 03 129654.
 2016 04 29739.
 2016 05 349815.
 2016 06 329994.
 2016 07 2010243·
 2016 08 549983·
 2016 09 689794.
 2016 10 559724·
 2016 11 679689.
 2016 12 429699.
 2017 01  559718.
 2017 02  959865.
 2017 03  659921.
 2017 04  1110077.


 2017 05  739822·
 2017 06  599965·
 2017 07  5210238.
 2017 08  2910023.
 2017 09  209858.
 2017 10  809992·
 2017 11  9110075.
 2017 12  9110064.
 2018 01 2310455·
 2018 02 1310369.
 2018 03 7010145·
 2018 04 1510193·
 2018 05 329995·
 2018 06 4010230·
 2018 07 210345.
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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
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