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 Series Title: Employment: Nonagriculture Private wage and salary workers in Health services, except hospitals industry, Women: 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 244915.
 2000 02 494865.
 2000 03 254793.
 2000 04 164858.
 2000 05 124964.
 2000 06 55045.
 2000 07 885095.
 2000 08 854937·
 2000 09 994882·
 2000 10 924894.
 2000 11 854904.
 2000 12 845015·
 2001 01  334979·
 2001 02  894901.
 2001 03  264972·
 2001 04  575038·
 2001 05  905062.
 2001 06  55298.
 2001 07  505325.
 2001 08  735176.
 2001 09  725086.
 2001 10  705226·
 2001 11  205244.
 2001 12  265380·
 2002 01 25433·
 2002 02 425416·
 2002 03 235665.
 2002 04 365425·
 2002 05 325305·
 2002 06 15454.
 2002 07 735470·
 2002 08 475474·
 2002 09 375637·
 2002 10 555646.
 2002 11 85503.
 2002 12 275590.
 2003 01  175608.
 2003 02  355565.
 2003 03  905828.
 2003 04  715627.
 2003 05  985693.
 2003 06  985760.
 2003 07  85646.
 2003 08  995611.
 2003 09  305553.
 2003 10  265744.
 2003 11  735742.
 2003 12  535790·
 2004 01 895785·
 2004 02 245757.
 2004 03 255838.
 2004 04 45864.
 2004 05 745793.
 2004 06 265880.
 2004 07 255949.
 2004 08 455744.
 2004 09 125700·
 2004 10 875808·
 2004 11 635885.
 2004 12 966087.
 2005 01  526001·
 2005 02  885934.
 2005 03  505974.
 2005 04  05880·
 2005 05  715889.
 2005 06  386072·
 2005 07  256120.
 2005 08  286194·
 2005 09  686236.
 2005 10  676099·
 2005 11  505950·
 2005 12  725987·
 2006 01 696021·
 2006 02 326028·
 2006 03 146034·
 2006 04 536033·
 2006 05 236138·
 2006 06 146273.
 2006 07 296252.
 2006 08 146409.
 2006 09 86301.
 2006 10 216260·
 2006 11 336314·
 2006 12 246366.
 2007 01  236269.
 2007 02  836305.
 2007 03  906349·
 2007 04  786073·
 2007 05  935997.
 2007 06  596032·
 2007 07  866195·
 2007 08  956368·
 2007 09  686554.
 2007 10  286507·
 2007 11  356353·
 2007 12  196379·
 2008 01 256348·
 2008 02 986346·
 2008 03 756425·
 2008 04 186362·
 2008 05 646274.
 2008 06 16370·
 2008 07 686277·
 2008 08 886199·
 2008 09 106495.
 2008 10 926565·
 2008 11 46672·
 2008 12 476791.
 2009 01  126614·
 2009 02  556634.
 2009 03  936615.
 2009 04  396670·
 2009 05  486695.
 2009 06  946576.
 2009 07  756667.
 2009 08  346693.
 2009 09  176592·
 2009 10  436756.
 2009 11  126853·
 2009 12  266914·
 2010 01 446907.
 2010 02 586752·
 2010 03 926617.
 2010 04 336607.
 2010 05 806815.
 2010 06 196930·
 2010 07 287019·
 2010 08 17044.
 2010 09 16930.
 2010 10 356770·
 2010 11 586684.
 2010 12 986649·
 2011 01  66568.
 2011 02  366575·
 2011 03  456638·
 2011 04  186689.
 2011 05  216607.
 2011 06  806696·
 2011 07  766889·
 2011 08  806945·
 2011 09  976831·
 2011 10  476780.
 2011 11  656862.
 2011 12  296665.
 2012 01 96899·
 2012 02 457117·
 2012 03 507330.
 2012 04 347203·
 2012 05 577085.
 2012 06 57068·
 2012 07 927115·
 2012 08 887137·
 2012 09 667141.
 2012 10 837194.
 2012 11 817159·
 2012 12 117364·
 2013 01  887269·
 2013 02  637302.
 2013 03  297427.
 2013 04  487377.
 2013 05  977530·
 2013 06  497463·
 2013 07  757566.
 2013 08  677241·
 2013 09  947248·
 2013 10  747292.
 2013 11  807209·
 2013 12  627339·
 2014 01 47082·
 2014 02 947105.
 2014 03 327179.
 2014 04 537172.
 2014 05 777130.
 2014 06 917196·
 2014 07 467105.
 2014 08 837267·
 2014 09 907291·
 2014 10 727256.
 2014 11 587355.
 2014 12 227216·
 2015 01  427136.
 2015 02  687148·
 2015 03  317257·
 2015 04  657266.
 2015 05  597443.
 2015 06  367452·
 2015 07  547374.
 2015 08  297547.
 2015 09  917394.
 2015 10  587349.
 2015 11  397440.
 2015 12  597241.
 2016 01 137346.
 2016 02 407273·
 2016 03 247290.
 2016 04 257523·
 2016 05 277541.
 2016 06 137550.
 2016 07 727733.
 2016 08 217520.
 2016 09 577416·
 2016 10 357308·
 2016 11 717201·
 2016 12 657084·
 2017 01  537197.
 2017 02  887360·
 2017 03  347407·
 2017 04  27555·


 2017 05  927431·
 2017 06  777565.
 2017 07  997768·
 2017 08  17619.
 2017 09  737408·
 2017 10  347627.
 2017 11  287608.
 2017 12  567578·
 2018 01 227914·
 2018 02 167828.
 2018 03 107691.
 2018 04 867759·
 2018 05 907622·
 2018 06 57866·
 2018 07 577897·
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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: Employment: Nonagriculture Private wage and salary workers in Health services, except hospitals industry, Women: 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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