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 Series Title: Employed: Wage and salary workers, Health service, except hospitals, Men: 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 601274·
 2000 02 911327.
 2000 03 811296·
 2000 04 191251·
 2000 05 211275.
 2000 06 11288·
 2000 07 801235.
 2000 08 41327·
 2000 09 41306.
 2000 10 661389·
 2000 11 361423.
 2000 12 441454.
 2001 01  611431.
 2001 02  671372·
 2001 03  611359·
 2001 04  831416·
 2001 05  651343·
 2001 06  111297·
 2001 07  951384.
 2001 08  901373·
 2001 09  191434·
 2001 10  301471.
 2001 11  01498·
 2001 12  601466·
 2002 01 471427·
 2002 02 801422·
 2002 03 631408·
 2002 04 111487·
 2002 05 991461·
 2002 06 431390.
 2002 07 981424.
 2002 08 871405·
 2002 09 511515·
 2002 10 251562.
 2002 11 431499.
 2002 12 591539·
 2003 01  41539·
 2003 02  591494·
 2003 03  601479·
 2003 04  191584.
 2003 05  821551.
 2003 06  11529·
 2003 07  371504.
 2003 08  871416.
 2003 09  361488.
 2003 10  321548.
 2003 11  871514.
 2003 12  81437·
 2004 01 421430.
 2004 02 591402·
 2004 03 491495·
 2004 04 501533·
 2004 05 01561·
 2004 06 141620.
 2004 07 841631.
 2004 08 71677.
 2004 09 351602·
 2004 10 531574·
 2004 11 811549.
 2004 12 991518.
 2005 01  971492.
 2005 02  591491·
 2005 03  531523.
 2005 04  691436·
 2005 05  631443.
 2005 06  371558·
 2005 07  381621·
 2005 08  881693.
 2005 09  321612.
 2005 10  191656.
 2005 11  981637.
 2005 12  481701·
 2006 01 301675.
 2006 02 621827.
 2006 03 211773.
 2006 04 701685·
 2006 05 81653.
 2006 06 481571.
 2006 07 211612·
 2006 08 971640.
 2006 09 391669·
 2006 10 841604.
 2006 11 351602·
 2006 12 981576·
 2007 01  261582.
 2007 02  01679.
 2007 03  261701.
 2007 04  681698·
 2007 05  941664.
 2007 06  531673.
 2007 07  821713·
 2007 08  261657·
 2007 09  921663.
 2007 10  261678·
 2007 11  161592·
 2007 12  151725·
 2008 01 961753·
 2008 02 251774·
 2008 03 661742.
 2008 04 61735.
 2008 05 71654·
 2008 06 811660.
 2008 07 941690·
 2008 08 921675·
 2008 09 491700.
 2008 10 511770·
 2008 11 891822·
 2008 12 921828·
 2009 01  751845.
 2009 02  171764.
 2009 03  631709.
 2009 04  501715·
 2009 05  571699.
 2009 06  851714·
 2009 07  551802·
 2009 08  361850·
 2009 09  981862.
 2009 10  871864.
 2009 11  271790·
 2009 12  441778.
 2010 01 231804.
 2010 02 801733.
 2010 03 671755.
 2010 04 921736.
 2010 05 811839.
 2010 06 461854·
 2010 07 871850·
 2010 08 261945.
 2010 09 491823·
 2010 10 901910·
 2010 11 271828.
 2010 12 141830.
 2011 01  271779·
 2011 02  451774·
 2011 03  491857·
 2011 04  501787·
 2011 05  391870.
 2011 06  671853.
 2011 07  401865.
 2011 08  532057·
 2011 09  371945.
 2011 10  371986·
 2011 11  141988·
 2011 12  681911.
 2012 01 961972.
 2012 02 642046·
 2012 03 82107.
 2012 04 642065·
 2012 05 162086·
 2012 06 772097.
 2012 07 852071.
 2012 08 342130·
 2012 09 232074·
 2012 10 342134·
 2012 11 342262.
 2012 12 992234.
 2013 01  672218·
 2013 02  172237·
 2013 03  672106.
 2013 04  12166·
 2013 05  232155.
 2013 06  322068.
 2013 07  222147·
 2013 08  112116·
 2013 09  922070·
 2013 10  102009.
 2013 11  612040·
 2013 12  222009.
 2014 01 01962·
 2014 02 91902.
 2014 03 741927.
 2014 04 541904·
 2014 05 961969.
 2014 06 101965·
 2014 07 721954.
 2014 08 501962.
 2014 09 562052·
 2014 10 192140·
 2014 11 942105·
 2014 12 812039.
 2015 01  801962·
 2015 02  691950.
 2015 03  21886·
 2015 04  391928·
 2015 05  941893.
 2015 06  152033.
 2015 07  852097·
 2015 08  442061.
 2015 09  482136·
 2015 10  412192·
 2015 11  542130.
 2015 12  412198.
 2016 01 182201.
 2016 02 512090·
 2016 03 492018·
 2016 04 981900·
 2016 05 41968·
 2016 06 782093.
 2016 07 322162·
 2016 08 92112.
 2016 09 312036·
 2016 10 792019·
 2016 11 912076·
 2016 12 942168.
 2017 01  502156·
 2017 02  342200.
 2017 03  392163·
 2017 04  972189.
 2017 05  362039·
 2017 06  521993·


 2017 07  132043.
 2017 08  872014.
 2017 09  892044.
 2017 10  631997·
 2017 11  772079.
 2017 12  582081·
 2018 01 362156·
 2018 02 232226·
 2018 03 192134.
 2018 04 292122.
 2018 05 252029.
 2018 06 162022.
 2018 07 502081·
 2018 08 451964.
 2018 09 342012·
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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, Men: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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