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 Series Title: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Education and Health Services, Men: NSA
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 2000 01 782.0
 2000 02 101.9
 2000 03 82·7
 2000 04 872·4
 2000 05 862·0
 2000 06 482.8
 2000 07 162.6
 2000 08 632.5
 2000 09 422·3
 2000 10 671·6
 2000 11 72·7
 2000 12 181·6
 2001 01  962.1
 2001 02  461.8
 2001 03  922.4
 2001 04  981.9
 2001 05  231·6
 2001 06  943.3
 2001 07  113·3
 2001 08  723.8
 2001 09  242·6
 2001 10  412·6
 2001 11  253·8
 2001 12  323.1
 2002 01 243.8
 2002 02 453·1
 2002 03 232.4
 2002 04 992·0
 2002 05 732·7
 2002 06 864.1
 2002 07 183·5
 2002 08 174.1
 2002 09 483·1
 2002 10 722.8
 2002 11 472·8
 2002 12 543.1
 2003 01  482·4
 2003 02  343·0
 2003 03  742.6
 2003 04  53.6
 2003 05  984·1
 2003 06  295.0
 2003 07  864·3
 2003 08  904·9
 2003 09  504.2
 2003 10  393·7
 2003 11  963.7
 2003 12  514.1
 2004 01 784.0
 2004 02 702·6
 2004 03 423·2
 2004 04 592.7
 2004 05 833.2
 2004 06 534·1
 2004 07 873·3
 2004 08 73.5
 2004 09 903·1
 2004 10 462·3
 2004 11 192.9
 2004 12 152.7
 2005 01  503·4
 2005 02  303·6
 2005 03  512·7
 2005 04  272.6
 2005 05  383·0
 2005 06  112·8
 2005 07  202.4
 2005 08  112·9
 2005 09  543·5
 2005 10  223.4
 2005 11  902·9
 2005 12  631·7
 2006 01 252.8
 2006 02 192·5
 2006 03 493·3
 2006 04 02.5
 2006 05 992·8
 2006 06 843.0
 2006 07 83.6
 2006 08 683·5
 2006 09 532·4
 2006 10 222.1
 2006 11 72.2
 2006 12 362.7
 2007 01  872·9
 2007 02  672·5
 2007 03  82·6
 2007 04  973·2
 2007 05  274.0
 2007 06  743.3
 2007 07  993.6
 2007 08  702.7
 2007 09  223·2
 2007 10  263.0
 2007 11  922.6
 2007 12  12.6
 2008 01 492·8
 2008 02 283.1
 2008 03 272·4
 2008 04 572·4
 2008 05 73·3
 2008 06 122.9
 2008 07 654.0
 2008 08 343·6
 2008 09 223·8
 2008 10 363.9
 2008 11 944·2
 2008 12 504.7
 2009 01  443.9
 2009 02  803.7
 2009 03  284.7
 2009 04  504.8
 2009 05  495.2
 2009 06  527·0
 2009 07  56·7
 2009 08  26.4
 2009 09  386.2
 2009 10  835.9
 2009 11  865·6
 2009 12  05.9
 2010 01 345.9
 2010 02 295·5
 2010 03 615·2
 2010 04 654·1
 2010 05 904·9
 2010 06 736.2
 2010 07 427.6
 2010 08 406·9
 2010 09 806·7
 2010 10 215.8
 2010 11 666·4
 2010 12 935.4
 2011 01  56.6
 2011 02  46·2
 2011 03  975.3
 2011 04  204·3
 2011 05  905.4
 2011 06  805.3
 2011 07  235·0
 2011 08  405·8
 2011 09  854·9
 2011 10  295·2
 2011 11  574.4
 2011 12  965·5
 2012 01 665·5


 2012 02 595.3
 2012 03 365.7
 2012 04 574.6
 2012 05 345·1
 2012 06 15·6
 2012 07 236·2
 2012 08 195.6
 2012 09 135·1
 2012 10 125.3
 2012 11 75.4
 2012 12 994·8
 2013 01  544·2
 2013 02  734.6
 2013 03  994.9
 2013 04  434.0
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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: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Education and Health Services, Men: 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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