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 Series Title: Employed: Wage and salary workers, Health service, except hospitals, Women: NSA
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 2012 04 17561.
 2012 03 597724·
 2012 02 807490·
 2012 01 937267·
 2011 12  507015.
 2011 11  47173·
 2011 10  117101·
 2011 09  577108.
 2011 08  97250.
 2011 07  917228.
 2011 06  867093·
 2011 05  636997.
 2011 04  297056.
 2011 03  26997·
 2011 02  196934·
 2011 01  566900·
 2010 12 846980·
 2010 11 447004.
 2010 10 477076·
 2010 09 47266.
 2010 08 767387.
 2010 07 477392.
 2010 06 337338.
 2010 05 27184·
 2010 04 297022·
 2010 03 707037.
 2010 02 667135·
 2010 01 707278·
 2009 12  947313·
 2009 11  937215.
 2009 10  587128.
 2009 09  506959.
 2009 08  477020.
 2009 07  237007.
 2009 06  476944.
 2009 05  127072.
 2009 04  887022.
 2009 03  916978·
 2009 02  956998.
 2009 01  516928.
 2008 12 417113·
 2008 11 557019.
 2008 10 926923·
 2008 09 866866·
 2008 08 596571·
 2008 07 966629·
 2008 06 496696.
 2008 05 606631·
 2008 04 156705.
 2008 03 216752·
 2008 02 56663.
 2008 01 436669.
 2007 12  116715·
 2007 11  616733·
 2007 10  226870·
 2007 09  296962·
 2007 08  726762.
 2007 07  736580.
 2007 06  896378.
 2007 05  376346.
 2007 04  476431·
 2007 03  386692.
 2007 02  176698·
 2007 01  116638.
 2006 12 146717.
 2006 11 636671·
 2006 10 466586·
 2006 09 216648·
 2006 08 716754.
 2006 07 816578.
 2006 06 386628·
 2006 05 606501·
 2006 04 446387.
 2006 03 476403.
 2006 02 816399·
 2006 01 486363.
 2005 12  856374.
 2005 11  436306.
 2005 10  886434·
 2005 09  296605.
 2005 08  676573.
 2005 07  756491.
 2005 06  966412.
 2005 05  716240·
 2005 04  926233.
 2005 03  766350.
 2005 02  696299·
 2005 01  706305·
 2004 12 856397·
 2004 11 26189.
 2004 10 946139·
 2004 09 446040·
 2004 08 966093.
 2004 07 356303.
 2004 06 856262·
 2004 05 376152·
 2004 04 16194·
 2004 03 816143·
 2004 02 796024.
 2004 01 196073.
 2003 12  06117.
 2003 11  726045·
 2003 10  396057.
 2003 09  835876.
 2003 08  185923·
 2003 07  655998·
 2003 06  536100.
 2003 05  506023.
 2003 04  75937·
 2003 03  416146.
 2003 02  355923.
 2003 01  625960.
 2002 12 405954.
 2002 11 75857.
 2002 10 206012.
 2002 09 896038·
 2002 08 195858·
 2002 07 945889.
 2002 06 745841·
 2002 05 255691.
 2002 04 695830·
 2002 03 596065.
 2002 02 835879.
 2002 01 905875.
 2001 12  415818.
 2001 11  845605.
 2001 10  615571.
 2001 09  285469.
 2001 08  95538.
 2001 07  765783.
 2001 06  455713.
 2001 05  65457·
 2001 04  755437·
 2001 03  665346·
 2001 02  985330.
 2001 01  215416.
 2000 12 635484.
 2000 11 105393.
 2000 10 95307·
 2000 09 915261·
 2000 08 245280.
 2000 07 915450·
 2000 06 905419·
 2000 05 595334.
 2000 04 335269·
 2000 03 155193·
 2000 02 785272·
 2000 01 965356·
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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, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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