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 Series Title: Employed: Health service, except hospitals, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 29540·
 2012 03 0584.
 2012 02 52527·
 2012 01 19524.
 2011 12  60506·
 2011 11  34540.
 2011 10  4544.
 2011 09  62536·
 2011 08  81534.
 2011 07  91472·
 2011 06  82465.
 2011 05  29432·
 2011 04  45388·
 2011 03  54442·
 2011 02  0418.
 2011 01  64423·
 2010 12 25443·
 2010 11 29428.
 2010 10 93469·
 2010 09 36481.
 2010 08 23500·
 2010 07 46436·
 2010 06 27442·
 2010 05 39438·
 2010 04 64466·
 2010 03 64460·
 2010 02 88507·
 2010 01 92484.
 2009 12  98468.
 2009 11  64521.
 2009 10  89443·
 2009 09  40490·
 2009 08  1530.
 2009 07  52447·
 2009 06  69435.
 2009 05  51430·
 2009 04  73464.
 2009 03  60463·
 2009 02  89482.
 2009 01  20456·
 2008 12 39434·
 2008 11 44372·
 2008 10 39358·
 2008 09 65391·
 2008 08 51404.
 2008 07 87411.
 2008 06 31460·
 2008 05 32487.
 2008 04 82537.
 2008 03 94520·
 2008 02 2529.
 2008 01 88467·
 2007 12  34446·
 2007 11  98397·
 2007 10  16435·
 2007 09  29473·
 2007 08  32427.
 2007 07  56427.
 2007 06  61468·
 2007 05  73469.
 2007 04  27486.
 2007 03  47544·
 2007 02  49520.
 2007 01  65423.
 2006 12 93483.
 2006 11 81479.
 2006 10 19462·
 2006 09 73532·
 2006 08 32486·
 2006 07 87500·
 2006 06 33463.
 2006 05 92427·
 2006 04 68443·
 2006 03 24456·
 2006 02 79430·
 2006 01 41381.
 2005 12  52424.
 2005 11  71370·
 2005 10  70392·
 2005 09  64433.
 2005 08  60424.
 2005 07  37425.
 2005 06  44407.
 2005 05  30407·
 2005 04  91400.
 2005 03  52364·
 2005 02  64383.
 2005 01  33318·
 2004 12 72343.
 2004 11 74375.
 2004 10 18362.
 2004 09 93433.
 2004 08 52397.
 2004 07 83387.
 2004 06 18393·
 2004 05 54393·
 2004 04 7403·
 2004 03 87382.
 2004 02 3340·
 2004 01 84363.
 2003 12  37396·
 2003 11  17438·
 2003 10  35436·
 2003 09  78383.
 2003 08  68340.
 2003 07  30360.
 2003 06  2362.
 2003 05  56375·
 2003 04  50392·
 2003 03  8374·
 2003 02  18344·
 2003 01  60354·
 2002 12 58363.
 2002 11 56358.
 2002 10 19392·
 2002 09 61409·
 2002 08 94371·
 2002 07 8349.
 2002 06 70312.
 2002 05 52285.
 2002 04 82338·
 2002 03 19351.
 2002 02 57339·
 2002 01 53349·
 2001 12  72306.
 2001 11  71270·
 2001 10  95322.
 2001 09  7329·
 2001 08  40385.
 2001 07  70398·
 2001 06  19342·
 2001 05  85300.
 2001 04  87314.
 2001 03  49292.
 2001 02  95294.
 2001 01  79300·
 2000 12 38237·
 2000 11 64249.
 2000 10 9285·
 2000 09 10290.
 2000 08 43292.
 2000 07 96310·
 2000 06 74329.
 2000 05 21302.
 2000 04 78307.
 2000 03 53320·
 2000 02 28289.
 2000 01 81280·
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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: Health service, except hospitals, Asian: 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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