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 Series Title: Total unemployed, plus discouraged workers, plus all other marginally attached workers, as a percent of the civilian labor force plus all marginally attached workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to end of data set
 1994 01 498·8
 1994 02 418·5
 1994 03 38·1
 1994 04 277.5
 1994 05 267·0
 1994 06 177.5
 1994 07 187·5
 1994 08 777.2
 1994 09 256.9
 1994 10 476·6
 1994 11 896·5
 1994 12 836.4
 1995 01  977.5
 1995 02  147.1
 1995 03  316·9
 1995 04  886·6
 1995 05  176.5
 1995 06  236.9
 1995 07  807.0
 1995 08  606.6
 1995 09  876.5
 1995 10  86.3
 1995 11  06.4
 1995 12  956.4
 1996 01 307·5
 1996 02 237·2
 1996 03 796.9
 1996 04 126·4
 1996 05 986·4
 1996 06 526.6
 1996 07 306.7
 1996 08 546·1
 1996 09 666.1
 1996 10 05·9
 1996 11 906·1
 1996 12 916.0
 1997 01  347·0
 1997 02  996.8
 1997 03  236.5
 1997 04  175·9
 1997 05  285.7
 1997 06  76·1
 1997 07  155.9
 1997 08  515.7
 1997 09  985.6
 1997 10  35.3
 1997 11  815·2
 1997 12  375·4
 1998 01 196·2
 1998 02 966.0
 1998 03 586.0
 1998 04 445·0
 1998 05 925·0
 1998 06 175·5
 1998 07 95.6
 1998 08 675·3
 1998 09 435.3
 1998 10 225·1
 1998 11 225.0
 1998 12 254·8
 1999 01  215·7
 1999 02  935·6
 1999 03  105.3
 1999 04  615.0
 1999 05  34.8
 1999 06  365·3
 1999 07  105.2
 1999 08  454.9
 1999 09  874.9
 1999 10  844·7
 1999 11  864.6
 1999 12  714·5
 2000 01 15.3
 2000 02 935·3
 2000 03 255.1
 2000 04 584.5
 2000 05 944·6
 2000 06 454.9
 2000 07 405.0
 2000 08 514·8
 2000 09 414·6
 2000 10 464·3
 2000 11 704.5
 2000 12 184·4
 2001 01  445.5
 2001 02  275.4
 2001 03  775.3
 2001 04  544·9
 2001 05  274·9
 2001 06  475·5
 2001 07  485.5
 2001 08  775.8
 2001 09  405·6
 2001 10  855·9
 2001 11  986·2
 2001 12  326.3
 2002 01 607·3
 2002 02 497·0
 2002 03 637.0
 2002 04 886.6
 2002 05 876·5
 2002 06 716.9
 2002 07 76·9
 2002 08 406·6
 2002 09 456·3
 2002 10 76.3
 2002 11 186.5
 2002 12 56·6
 2003 01  867.5
 2003 02  387·4
 2003 03  77.2
 2003 04  296·7
 2003 05  846.7
 2003 06  727·4
 2003 07  157·3
 2003 08  817.1
 2003 09  416.8
 2003 10  406·6
 2003 11  26·6
 2003 12  546·4
 2004 01 817.3
 2004 02 997·1
 2004 03 587·1
 2004 04 696.3
 2004 05 556.3
 2004 06 306.7
 2004 07 946·7
 2004 08 686.4
 2004 09 396·1
 2004 10 396.1
 2004 11 496.1
 2004 12 216.1
 2005 01  326.9
 2005 02  606.8
 2005 03  876·4
 2005 04  235.9
 2005 05  605.8
 2005 06  476·2
 2005 07  936·1
 2005 08  925·9
 2005 09  745.7
 2005 10  845.5
 2005 11  835·7
 2005 12  725.6
 2006 01 486.1
 2006 02 766.1
 2006 03 935.8
 2006 04 345·4
 2006 05 845·3
 2006 06 555·8
 2006 07 865·9
 2006 08 705·6
 2006 09 65·2
 2006 10 785·0
 2006 11 505·2
 2006 12 05.0
 2007 01  666.0
 2007 02  265.8
 2007 03  995.4
 2007 04  685·2
 2007 05  385·1
 2007 06  75.6
 2007 07  695·7
 2007 08  435·5
 2007 09  235·3
 2007 10  515·3
 2007 11  245·3
 2007 12  205·6
 2008 01 466·4
 2008 02 156·2
 2008 03 536.1
 2008 04 185.6
 2008 05 576.1
 2008 06 816·7
 2008 07 667·0
 2008 08 807.1
 2008 09 336.9
 2008 10 567.1
 2008 11 47.6
 2008 12 768·3
 2009 01  739.7
 2009 02  7210·1
 2009 03  2810.3
 2009 04  999·8
 2009 05  210·3
 2009 06  8410·9
 2009 07  2611·0
 2009 08  7010.9
 2009 09  7210.8
 2009 10  7510·8
 2009 11  1110.7
 2009 12  3311.1
 2010 01 5812·0
 2010 02 5011.9
 2010 03 2211·5
 2010 04 5510·9
 2010 05 5910·6
 2010 06 4311.1
 2010 07 2011·2
 2010 08 3210·9
 2010 09 210.7
 2010 10 910·6
 2010 11 9510.8
 2010 12 8310.7
 2011 01  3611.4
 2011 02  3111·1
 2011 03  5810.6
 2011 04  5110·1
 2011 05  3810·0
 2011 06  1410·9
 2011 07  4810.9
 2011 08  710.6
 2011 09  710.2
 2011 10  9010·0
 2011 11  289.7
 2011 12  449.8
 2012 01 6910.5
 2012 02 1710.2
 2012 03 859.7
 2012 04 809·1
 2012 05 749·3
 2012 06 759.9
 2012 07 3210.0
 2012 08 629·7
 2012 09 989·0
 2012 10 719.0
 2012 11 88.8
 2012 12 569·2
 2013 01  419·9
 2013 02  389.6
 2013 03  749.0
 2013 04  598.5
 2013 05  298·5
 2013 06  319.3
 2013 07  209·1
 2013 08  888·7
 2013 09  118.4
 2013 10  328·3
 2013 11  587·9
 2013 12  887.9
 2014 01 648·6
 2014 02 488.4
 2014 03 268.1
 2014 04 287·2
 2014 05 877·3
 2014 06 117.5
 2014 07 867·8
 2014 08 27·5
 2014 09 67.1
 2014 10 776·8
 2014 11 276·8
 2014 12 306·7
 2015 01  727·4
 2015 02  277.1


 2015 03  616.8
 2015 04  556·4
 2015 05  596.4
 2015 06  696.6
 2015 07  276·7
 2015 08  476.3
 2015 09  696.0
 2015 10  346·0
 2015 11  875·8
 2015 12  995·9
 2016 01 266.5
 2016 02 796·3
 2016 03 296.1
 2016 04 325·7
 2016 05 825.6
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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: Total unemployed, plus discouraged workers, plus all other marginally attached workers, as a percent of the civilian labor force plus all marginally attached workers: 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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