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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 841274·
 2000 02 821327.
 2000 03 01296.
 2000 04 351251·
 2000 05 61275·
 2000 06 361288.
 2000 07 511235·
 2000 08 41327·
 2000 09 311306.
 2000 10 261389·
 2000 11 391423.
 2000 12 101454·
 2001 01  111431.
 2001 02  331372.
 2001 03  791359.
 2001 04  961416·
 2001 05  211343.
 2001 06  651297.
 2001 07  91384·
 2001 08  311373·
 2001 09  611434.
 2001 10  531471.
 2001 11  901498·
 2001 12  101466·
 2002 01 561427·
 2002 02 531422·
 2002 03 111408.
 2002 04 521487·
 2002 05 561461.
 2002 06 471390.
 2002 07 851424.
 2002 08 01405.
 2002 09 381515·
 2002 10 421562.
 2002 11 501499·
 2002 12 251539.
 2003 01  21539·
 2003 02  701494·
 2003 03  691479·
 2003 04  191584·
 2003 05  721551·
 2003 06  861529·
 2003 07  291504.
 2003 08  31416.
 2003 09  01488.
 2003 10  741548.
 2003 11  431514.
 2003 12  211437.
 2004 01 611430.
 2004 02 391402·
 2004 03 501495·
 2004 04 411533.
 2004 05 551561·
 2004 06 121620·
 2004 07 121631·
 2004 08 581677.
 2004 09 71602·
 2004 10 521574·
 2004 11 171549·
 2004 12 901518.
 2005 01  681492·
 2005 02  381491.
 2005 03  791523·
 2005 04  831436·
 2005 05  141443.
 2005 06  791558·
 2005 07  341621.
 2005 08  41693.
 2005 09  441612.
 2005 10  51656.
 2005 11  451637.
 2005 12  491701·
 2006 01 841675.
 2006 02 741827.
 2006 03 21773.
 2006 04 371685·
 2006 05 851653·
 2006 06 661571·
 2006 07 161612.
 2006 08 111640·
 2006 09 221669·
 2006 10 891604.
 2006 11 251602.
 2006 12 401576.
 2007 01  941582.
 2007 02  741679.
 2007 03  931701.
 2007 04  201698·
 2007 05  291664·
 2007 06  781673.
 2007 07  71713.
 2007 08  681657·
 2007 09  761663.
 2007 10  821678.
 2007 11  801592.
 2007 12  301725.
 2008 01 101753.
 2008 02 931774.
 2008 03 501742.
 2008 04 731735.
 2008 05 311654·
 2008 06 431660·
 2008 07 801690.
 2008 08 941675.
 2008 09 661700.
 2008 10 881770.
 2008 11 581822·
 2008 12 91828.
 2009 01  651845.
 2009 02  101764.
 2009 03  961709.
 2009 04  651715·
 2009 05  31699·
 2009 06  161714·
 2009 07  331802·
 2009 08  291850·
 2009 09  801862·
 2009 10  371864.
 2009 11  321790.
 2009 12  961778.
 2010 01 221804·
 2010 02 301733·
 2010 03 791755·
 2010 04 861736·
 2010 05 791839·
 2010 06 771854·
 2010 07 891850.
 2010 08 411945·
 2010 09 261823.
 2010 10 841910.
 2010 11 01828.
 2010 12 321830.
 2011 01  651779.
 2011 02  821774.
 2011 03  731857·
 2011 04  521787.
 2011 05  201870.
 2011 06  301853·
 2011 07  971865.
 2011 08  222057.
 2011 09  411945.
 2011 10  71986·
 2011 11  851988.
 2011 12  831911·
 2012 01 51972·
 2012 02 212046·
 2012 03 742107·
 2012 04 72065·
 2012 05 112086·
 2012 06 32097.
 2012 07 282071.
 2012 08 872130·
 2012 09 852074.
 2012 10 102134.
 2012 11 352262·
 2012 12 422234·
 2013 01  782218·
 2013 02  242237.
 2013 03  72106·
 2013 04  172166·
 2013 05  642155.
 2013 06  522068·
 2013 07  822147.
 2013 08  802116.
 2013 09  442070·
 2013 10  242009·
 2013 11  242040.
 2013 12  262009.
 2014 01 431962.
 2014 02 981902·
 2014 03 191927.
 2014 04 731904.
 2014 05 131969·
 2014 06 551965·
 2014 07 821954.
 2014 08 671962·
 2014 09 282052·
 2014 10 22140·
 2014 11 492105.
 2014 12 752039.
 2015 01  881962·
 2015 02  701950·
 2015 03  841886.
 2015 04  931928·
 2015 05  191893.
 2015 06  172033·
 2015 07  742097.
 2015 08  392061·
 2015 09  722136·
 2015 10  242192·
 2015 11  332130·
 2015 12  572198·
 2016 01 222201.
 2016 02 962090·
 2016 03 982018·
 2016 04 171900.
 2016 05 681968·
 2016 06 672093.
 2016 07 332162·
 2016 08 132112·
 2016 09 382036.
 2016 10 932019.
 2016 11 252076.
 2016 12 642168.
 2017 01  802156.


 2017 02  552200·
 2017 03  872163.
 2017 04  142189.
 2017 05  712039·
 2017 06  601993.
 2017 07  562043.
 2017 08  322014.
 2017 09  102044·
 2017 10  401997·
 2017 11  972079·
 2017 12  132081.
 2018 01 242156·
 2018 02 512226.
 2018 03 962134·
 2018 04 752122.
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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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