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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 941274·
 2000 02 541327.
 2000 03 651296·
 2000 04 551251.
 2000 05 771275.
 2000 06 831288·
 2000 07 301235·
 2000 08 31327·
 2000 09 701306.
 2000 10 551389.
 2000 11 391423·
 2000 12 941454.
 2001 01  241431·
 2001 02  501372·
 2001 03  71359.
 2001 04  711416·
 2001 05  141343·
 2001 06  761297·
 2001 07  691384.
 2001 08  41373·
 2001 09  401434·
 2001 10  641471·
 2001 11  901498.
 2001 12  861466·
 2002 01 281427.
 2002 02 711422.
 2002 03 571408·
 2002 04 381487·
 2002 05 271461·
 2002 06 781390·
 2002 07 831424·
 2002 08 31405.
 2002 09 151515.
 2002 10 921562.
 2002 11 61499·
 2002 12 491539·
 2003 01  891539·
 2003 02  461494·
 2003 03  901479·
 2003 04  731584.
 2003 05  781551.
 2003 06  941529·
 2003 07  201504·
 2003 08  921416·
 2003 09  291488.
 2003 10  191548.
 2003 11  121514.
 2003 12  501437.
 2004 01 201430.
 2004 02 281402·
 2004 03 21495·
 2004 04 181533.
 2004 05 501561.
 2004 06 531620·
 2004 07 541631·
 2004 08 881677·
 2004 09 451602·
 2004 10 491574·
 2004 11 551549.
 2004 12 801518·
 2005 01  551492·
 2005 02  981491.
 2005 03  181523.
 2005 04  391436·
 2005 05  561443.
 2005 06  81558·
 2005 07  811621·
 2005 08  331693·
 2005 09  481612·
 2005 10  101656.
 2005 11  71637·
 2005 12  571701.
 2006 01 561675·
 2006 02 601827.
 2006 03 851773.
 2006 04 291685·
 2006 05 301653·
 2006 06 411571.
 2006 07 261612·
 2006 08 941640.
 2006 09 471669.
 2006 10 581604.
 2006 11 681602.
 2006 12 211576·
 2007 01  71582·
 2007 02  431679·
 2007 03  761701.
 2007 04  41698·
 2007 05  341664.
 2007 06  541673·
 2007 07  351713·
 2007 08  621657.
 2007 09  791663·
 2007 10  711678.
 2007 11  601592·
 2007 12  401725·
 2008 01 191753·
 2008 02 11774·
 2008 03 891742.
 2008 04 61735.
 2008 05 521654.
 2008 06 771660.
 2008 07 831690·
 2008 08 551675·
 2008 09 51700·
 2008 10 541770·
 2008 11 321822·
 2008 12 51828.
 2009 01  271845.
 2009 02  141764.
 2009 03  471709·
 2009 04  21715.
 2009 05  951699·
 2009 06  641714·
 2009 07  681802.
 2009 08  141850·
 2009 09  81862·
 2009 10  361864.
 2009 11  561790.
 2009 12  341778·
 2010 01 931804·
 2010 02 851733.
 2010 03 991755.
 2010 04 841736.
 2010 05 991839.
 2010 06 951854·
 2010 07 111850.
 2010 08 51945.
 2010 09 21823·
 2010 10 711910·
 2010 11 301828.
 2010 12 681830.
 2011 01  21779·
 2011 02  451774·
 2011 03  181857.
 2011 04  681787·
 2011 05  241870.
 2011 06  741853.
 2011 07  621865·
 2011 08  222057·
 2011 09  201945.
 2011 10  391986.
 2011 11  771988.
 2011 12  751911.
 2012 01 631972.
 2012 02 472046·
 2012 03 02107.
 2012 04 962065.
 2012 05 562086·
 2012 06 302097·
 2012 07 942071·
 2012 08 792130.
 2012 09 232074.
 2012 10 442134·
 2012 11 462262.
 2012 12 442234.
 2013 01  142218.
 2013 02  712237·
 2013 03  712106·
 2013 04  352166.
 2013 05  52155·
 2013 06  182068.
 2013 07  42147.
 2013 08  202116·
 2013 09  972070·
 2013 10  152009.
 2013 11  102040.
 2013 12  952009.
 2014 01 141962·
 2014 02 211902·
 2014 03 761927·
 2014 04 771904.
 2014 05 81969·
 2014 06 161965·
 2014 07 161954.
 2014 08 121962·
 2014 09 532052·
 2014 10 72140·
 2014 11 662105·
 2014 12 672039·
 2015 01  491962·
 2015 02  261950·
 2015 03  911886·
 2015 04  391928.
 2015 05  231893.
 2015 06  302033.
 2015 07  772097·
 2015 08  452061.
 2015 09  252136.
 2015 10  992192.
 2015 11  382130·
 2015 12  292198·
 2016 01 302201·
 2016 02 412090·
 2016 03 112018.
 2016 04 621900.
 2016 05 381968·
 2016 06 882093.
 2016 07 612162·
 2016 08 362112·
 2016 09 752036.
 2016 10 952019·
 2016 11 732076.
 2016 12 722168·
 2017 01  912156.
 2017 02  452200.
 2017 03  622163·
 2017 04  132189.
 2017 05  622039.
 2017 06  441993·
 2017 07  652043.
 2017 08  282014.
 2017 09  882044·


 2017 10  251997.
 2017 11  452079.
 2017 12  132081.
 2018 01 952156·
 2018 02 422226·
 2018 03 902134·
 2018 04 842122.
 2018 05 322029·
 2018 06 792022·
 2018 07 132081.
 2018 08 881964.
 2018 09 752012·
 2018 10 422143·
 2018 11 522252·
 2018 12 932140·
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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

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