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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 844915·
 2000 02 824865·
 2000 03 964793.
 2000 04 104858.
 2000 05 324964.
 2000 06 725045·
 2000 07 425095.
 2000 08 844937·
 2000 09 224882·
 2000 10 354894.
 2000 11 634904·
 2000 12 325015.
 2001 01  34979.
 2001 02  534901.
 2001 03  734972·
 2001 04  975038·
 2001 05  525062·
 2001 06  335298.
 2001 07  105325.
 2001 08  505176.
 2001 09  685086.
 2001 10  65226·
 2001 11  375244.
 2001 12  835380.
 2002 01 765433.
 2002 02 305416·
 2002 03 415665.
 2002 04 175425.
 2002 05 295305·
 2002 06 855454.
 2002 07 355470.
 2002 08 955474.
 2002 09 995637.
 2002 10 785646.
 2002 11 575503.
 2002 12 865590.
 2003 01  895608·
 2003 02  425565.
 2003 03  715828·
 2003 04  865627·
 2003 05  245693·
 2003 06  315760.
 2003 07  645646.
 2003 08  125611.
 2003 09  535553.
 2003 10  305744·
 2003 11  485742.
 2003 12  95790·
 2004 01 525785·
 2004 02 435757·
 2004 03 635838.
 2004 04 465864.
 2004 05 235793·
 2004 06 25880.
 2004 07 705949·
 2004 08 175744.
 2004 09 895700·
 2004 10 655808·
 2004 11 585885.
 2004 12 416087.
 2005 01  16001.
 2005 02  125934·
 2005 03  395974·
 2005 04  635880.
 2005 05  365889·
 2005 06  516072.
 2005 07  526120·
 2005 08  526194.
 2005 09  926236·
 2005 10  136099·
 2005 11  585950.
 2005 12  15987·
 2006 01 966021.
 2006 02 556028.
 2006 03 476034.
 2006 04 316033.
 2006 05 986138.
 2006 06 586273·
 2006 07 326252·
 2006 08 846409.
 2006 09 746301·
 2006 10 296260·
 2006 11 496314·
 2006 12 316366·
 2007 01  236269·
 2007 02  06305.
 2007 03  616349.
 2007 04  656073·
 2007 05  725997·
 2007 06  276032.
 2007 07  586195.
 2007 08  56368.
 2007 09  706554.
 2007 10  916507.
 2007 11  516353.
 2007 12  966379·
 2008 01 936348·
 2008 02 16346.
 2008 03 796425·
 2008 04 76362.
 2008 05 416274·
 2008 06 876370·
 2008 07 46277.
 2008 08 326199·
 2008 09 406495.
 2008 10 56565.
 2008 11 146672.
 2008 12 896791.
 2009 01  406614·
 2009 02  386634·
 2009 03  236615·
 2009 04  246670.
 2009 05  166695·
 2009 06  926576·
 2009 07  686667.
 2009 08  66693·
 2009 09  706592·
 2009 10  996756·
 2009 11  116853·
 2009 12  276914.
 2010 01 256907·
 2010 02 156752.
 2010 03 416617·
 2010 04 96607.
 2010 05 346815·
 2010 06 236930.
 2010 07 727019.
 2010 08 947044.
 2010 09 706930.
 2010 10 286770.
 2010 11 396684.
 2010 12 526649.
 2011 01  356568.
 2011 02  626575·
 2011 03  86638.
 2011 04  766689.
 2011 05  546607·
 2011 06  826696.
 2011 07  646889.
 2011 08  886945.
 2011 09  776831.
 2011 10  706780·
 2011 11  226862.
 2011 12  296665.
 2012 01 796899.
 2012 02 327117.
 2012 03 207330·
 2012 04 707203.
 2012 05 627085·
 2012 06 17068·
 2012 07 197115.
 2012 08 47137·
 2012 09 507141·
 2012 10 317194.
 2012 11 87159.
 2012 12 517364·
 2013 01  947269.
 2013 02  67302.
 2013 03  07427·
 2013 04  557377.
 2013 05  687530.
 2013 06  317463.
 2013 07  337566·
 2013 08  857241.
 2013 09  757248.
 2013 10  397292·
 2013 11  707209.
 2013 12  367339·
 2014 01 387082.
 2014 02 877105·
 2014 03 987179.
 2014 04 257172·
 2014 05 97130·
 2014 06 547196.
 2014 07 307105.
 2014 08 987267.
 2014 09 637291.
 2014 10 507256·
 2014 11 57355·
 2014 12 247216.
 2015 01  07136·
 2015 02  47148·
 2015 03  857257.
 2015 04  967266·
 2015 05  457443·
 2015 06  747452.
 2015 07  587374.
 2015 08  347547·
 2015 09  497394.
 2015 10  417349.
 2015 11  377440.
 2015 12  827241.
 2016 01 877346·
 2016 02 127273·
 2016 03 607290·
 2016 04 97523.
 2016 05 617541.
 2016 06 197550·
 2016 07 907733·
 2016 08 97520.
 2016 09 947416.
 2016 10 187308.
 2016 11 147201·
 2016 12 27084·
 2017 01  387197.
 2017 02  917360·
 2017 03  467407·
 2017 04  327555·
 2017 05  677431.
 2017 06  447565·


 2017 07  247768·
 2017 08  677619·
 2017 09  837408.
 2017 10  97627.
 2017 11  97608·
 2017 12  27578.
 2018 01 117914·
 2018 02 437828.
 2018 03 917691·
 2018 04 557759.
 2018 05 07622·
 2018 06 287866·
 2018 07 827897·
 2018 08 727867·
 2018 09 277774.
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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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