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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 494915·
 2000 02 134865·
 2000 03 704793·
 2000 04 924858.
 2000 05 754964·
 2000 06 155045·
 2000 07 135095.
 2000 08 974937·
 2000 09 804882·
 2000 10 284894·
 2000 11 684904.
 2000 12 145015·
 2001 01  144979.
 2001 02  334901.
 2001 03  504972·
 2001 04  855038·
 2001 05  535062·
 2001 06  385298.
 2001 07  965325·
 2001 08  815176.
 2001 09  975086·
 2001 10  745226.
 2001 11  695244.
 2001 12  965380·
 2002 01 715433·
 2002 02 975416.
 2002 03 575665.
 2002 04 485425.
 2002 05 265305·
 2002 06 895454.
 2002 07 735470·
 2002 08 825474.
 2002 09 385637·
 2002 10 575646.
 2002 11 555503.
 2002 12 675590.
 2003 01  55608·
 2003 02  335565.
 2003 03  655828·
 2003 04  975627.
 2003 05  555693·
 2003 06  735760·
 2003 07  925646·
 2003 08  925611·
 2003 09  375553.
 2003 10  585744.
 2003 11  485742.
 2003 12  955790·
 2004 01 275785.
 2004 02 965757·
 2004 03 725838·
 2004 04 755864.
 2004 05 255793.
 2004 06 185880·
 2004 07 265949.
 2004 08 285744·
 2004 09 575700·
 2004 10 805808·
 2004 11 985885.
 2004 12 716087·
 2005 01  726001.
 2005 02  655934·
 2005 03  15974.
 2005 04  495880·
 2005 05  475889.
 2005 06  796072.
 2005 07  726120.
 2005 08  316194·
 2005 09  826236·
 2005 10  536099·
 2005 11  765950.
 2005 12  125987.
 2006 01 16021.
 2006 02 446028.
 2006 03 996034.
 2006 04 96033.
 2006 05 566138·
 2006 06 356273.
 2006 07 556252·
 2006 08 696409·
 2006 09 226301·
 2006 10 316260·
 2006 11 816314·
 2006 12 596366·
 2007 01  06269.
 2007 02  646305·
 2007 03  416349·
 2007 04  746073.
 2007 05  135997·
 2007 06  906032.
 2007 07  216195·
 2007 08  336368·
 2007 09  146554.
 2007 10  936507·
 2007 11  366353·
 2007 12  806379·
 2008 01 786348·
 2008 02 776346·
 2008 03 236425.
 2008 04 856362.
 2008 05 46274·
 2008 06 756370.
 2008 07 456277.
 2008 08 406199·
 2008 09 186495.
 2008 10 436565.
 2008 11 906672·
 2008 12 676791.
 2009 01  716614·
 2009 02  646634.
 2009 03  706615·
 2009 04  86670·
 2009 05  386695.
 2009 06  426576.
 2009 07  246667.
 2009 08  326693·
 2009 09  196592·
 2009 10  126756·
 2009 11  146853·
 2009 12  356914·
 2010 01 406907.
 2010 02 286752·
 2010 03 286617.
 2010 04 356607.
 2010 05 526815.
 2010 06 726930·
 2010 07 807019.
 2010 08 767044.
 2010 09 296930·
 2010 10 526770·
 2010 11 76684.
 2010 12 276649.
 2011 01  716568.
 2011 02  996575.
 2011 03  726638·
 2011 04  836689.
 2011 05  66607·
 2011 06  696696.
 2011 07  636889.
 2011 08  636945·
 2011 09  816831·
 2011 10  446780·
 2011 11  936862.
 2011 12  116665·
 2012 01 746899.
 2012 02 317117.
 2012 03 997330·
 2012 04 957203·
 2012 05 857085·
 2012 06 617068·
 2012 07 457115.
 2012 08 107137.
 2012 09 387141·
 2012 10 927194·
 2012 11 197159.
 2012 12 767364.
 2013 01  857269.
 2013 02  47302·
 2013 03  327427·
 2013 04  367377·
 2013 05  07530.
 2013 06  47463·
 2013 07  247566·
 2013 08  607241·
 2013 09  857248·
 2013 10  257292·
 2013 11  587209·
 2013 12  417339.
 2014 01 647082·
 2014 02 227105.
 2014 03 207179·
 2014 04 997172.
 2014 05 887130.
 2014 06 777196.
 2014 07 247105.
 2014 08 787267.
 2014 09 327291·
 2014 10 977256.
 2014 11 87355·
 2014 12 477216·
 2015 01  967136.
 2015 02  137148.
 2015 03  357257·
 2015 04  07266·
 2015 05  77443.
 2015 06  837452·
 2015 07  927374.
 2015 08  577547·
 2015 09  147394·
 2015 10  887349.
 2015 11  937440.
 2015 12  617241.
 2016 01 937346.
 2016 02 337273·
 2016 03 757290·
 2016 04 827523·
 2016 05 447541.
 2016 06 527550·
 2016 07 17733.
 2016 08 137520.
 2016 09 937416.
 2016 10 17308.
 2016 11 607201·
 2016 12 757084·
 2017 01  897197.


 2017 02  617360·
 2017 03  637407.
 2017 04  107555.
 2017 05  97431·
 2017 06  397565·
 2017 07  507768·
 2017 08  897619.
 2017 09  537408.
 2017 10  677627·
 2017 11  827608.
 2017 12  57578·
 2018 01 467914·
 2018 02 17828.
 2018 03 487691.
 2018 04 777759·
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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