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 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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 2000 01 636630.
 2000 02 36599.
 2000 03 96489.
 2000 04 336520.
 2000 05 516609·
 2000 06 446707·
 2000 07 916685.
 2000 08 46607·
 2000 09 756567·
 2000 10 526696·
 2000 11 436816.
 2000 12 446938·
 2001 01  846847·
 2001 02  96701.
 2001 03  786705·
 2001 04  956853.
 2001 05  546801.
 2001 06  217011·
 2001 07  337166.
 2001 08  266910.
 2001 09  856903.
 2001 10  207042.
 2001 11  727102·
 2001 12  337284.
 2002 01 37302·
 2002 02 637300·
 2002 03 817473·
 2002 04 337316·
 2002 05 577152·
 2002 06 327231.
 2002 07 757314·
 2002 08 727263·
 2002 09 257553.
 2002 10 337574.
 2002 11 917356·
 2002 12 177493.
 2003 01  57499.
 2003 02  977417.
 2003 03  927625·
 2003 04  647521·
 2003 05  237574.
 2003 06  827629.
 2003 07  657502·
 2003 08  327339.
 2003 09  307363.
 2003 10  697605·
 2003 11  247559·
 2003 12  647554·
 2004 01 17502.
 2004 02 647426·
 2004 03 77638·
 2004 04 317726·
 2004 05 367713.
 2004 06 997882.
 2004 07 767934·
 2004 08 257770.
 2004 09 617643.
 2004 10 327713.
 2004 11 207738·
 2004 12 667915·
 2005 01  267797.
 2005 02  437790.
 2005 03  507873·
 2005 04  997669.
 2005 05  77684·
 2005 06  397970·
 2005 07  68112.
 2005 08  918267·
 2005 09  48217·
 2005 10  528090·
 2005 11  507943·
 2005 12  398075·
 2006 01 428038.
 2006 02 398226·
 2006 03 708176·
 2006 04 608072·
 2006 05 718154.
 2006 06 808199·
 2006 07 788190·
 2006 08 998394·
 2006 09 688317·
 2006 10 848190.
 2006 11 148273.
 2006 12 258293.
 2007 01  338220.
 2007 02  818377.
 2007 03  398393·
 2007 04  318128.
 2007 05  908010.
 2007 06  278052.
 2007 07  418293.
 2007 08  398419·
 2007 09  918624·
 2007 10  68548·
 2007 11  348325·
 2007 12  908440·
 2008 01 108423·
 2008 02 238437·
 2008 03 558493.
 2008 04 558440.
 2008 05 488285·
 2008 06 98356·
 2008 07 678319.
 2008 08 288247.
 2008 09 318566·
 2008 10 238693.
 2008 11 588842·
 2008 12 278941.
 2009 01  98773.
 2009 02  448762·
 2009 03  418688.
 2009 04  978738·
 2009 05  578771·
 2009 06  818658·
 2009 07  548809.
 2009 08  88871·
 2009 09  758821.
 2009 10  648992.
 2009 11  599005.
 2009 12  539091.
 2010 01 909083.
 2010 02 508869·
 2010 03 458792·
 2010 04 518758·
 2010 05 519023·
 2010 06 219192·
 2010 07 259242·
 2010 08 469332.
 2010 09 349089·
 2010 10 838985·
 2010 11 368832·
 2010 12 88810.
 2011 01  398679·
 2011 02  688707·
 2011 03  428854·
 2011 04  318843·
 2011 05  918867·
 2011 06  348946·
 2011 07  299093.
 2011 08  349306.
 2011 09  429053·
 2011 10  609087.
 2011 11  129162.
 2011 12  618925·
 2012 01 669239.
 2012 02 559536.


 2012 03 279831·
 2012 04 819626·
 2012 05 639508·
 2012 06 499482.
 2012 07 389498.
 2012 08 889590.
 2012 09 609556·
 2012 10 999671·
 2012 11 339764·
 2012 12 29942.
 2013 01  79787.
 2013 02  879893·
 2013 03  259899·
 2013 04  669906.
 2013 05  7810063·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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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