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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: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 208.1
 1994 02 627·9
 1994 03 27.7
 1994 04 187·6
 1994 05 127·2
 1994 06 887.3
 1994 07 517.3
 1994 08 377·2
 1994 09 647·1
 1994 10 56·9
 1994 11 946·7
 1994 12 496.7
 1995 01  276.8
 1995 02  976·6
 1995 03  456.6
 1995 04  976.7
 1995 05  756·6
 1995 06  696·7
 1995 07  416.7
 1995 08  516.7
 1995 09  106·7
 1995 10  536.6
 1995 11  456.6
 1995 12  56·7
 1996 01 566.8
 1996 02 66.7
 1996 03 466·6
 1996 04 776.6
 1996 05 646·5
 1996 06 96·4
 1996 07 566·5
 1996 08 136.1
 1996 09 106.2
 1996 10 706.2
 1996 11 126·4
 1996 12 816·3
 1997 01  936.4
 1997 02  196.3
 1997 03  796·1
 1997 04  756·0
 1997 05  405.8
 1997 06  135·9
 1997 07  445.7
 1997 08  155.7
 1997 09  15·8
 1997 10  355·6
 1997 11  195·5
 1997 12  455.7
 1998 01 505.6
 1998 02 905.6
 1998 03 425·6
 1998 04 335.2
 1998 05 895·2
 1998 06 105.3
 1998 07 785·4
 1998 08 755·3
 1998 09 425·4
 1998 10 535.3
 1998 11 125·2
 1998 12 885·1
 1999 01  615.2
 1999 02  985·3
 1999 03  595·0
 1999 04  185.2
 1999 05  205.0
 1999 06  545.1
 1999 07  565.1
 1999 08  335.0
 1999 09  215.0
 1999 10  524.9
 1999 11  664·8
 1999 12  284.8
 2000 01 874·8
 2000 02 485·0
 2000 03 764.8
 2000 04 214·7
 2000 05 704.8
 2000 06 254.7
 2000 07 14·8
 2000 08 574·8
 2000 09 464·7
 2000 10 884.6
 2000 11 774·7
 2000 12 64.7
 2001 01  145.0
 2001 02  705·1
 2001 03  685·0
 2001 04  605.1
 2001 05  05·1
 2001 06  265·3
 2001 07  625·4
 2001 08  395·8
 2001 09  545·8
 2001 10  396·2
 2001 11  706·4
 2001 12  886·6
 2002 01 516.7
 2002 02 166.6
 2002 03 326.6
 2002 04 756.8
 2002 05 936.7
 2002 06 876·7
 2002 07 106.8
 2002 08 956.7
 2002 09 56·6
 2002 10 106·6
 2002 11 936.8
 2002 12 676·9
 2003 01  366.9
 2003 02  676·9
 2003 03  926.9
 2003 04  346.9
 2003 05  627·0
 2003 06  637.2
 2003 07  467.1
 2003 08  677.1
 2003 09  847.1
 2003 10  317·0
 2003 11  176.8
 2003 12  596·6
 2004 01 276·8
 2004 02 276·6
 2004 03 946·8
 2004 04 296.5
 2004 05 426·6
 2004 06 326·6
 2004 07 906·5
 2004 08 226.4
 2004 09 36.4
 2004 10 546.5
 2004 11 426.3
 2004 12 66·3
 2005 01  126.4
 2005 02  256·4
 2005 03  136.2
 2005 04  766.1
 2005 05  936.0
 2005 06  996.0
 2005 07  925·9
 2005 08  515.9
 2005 09  975·9
 2005 10  615.9
 2005 11  905·9
 2005 12  765.8
 2006 01 995.7
 2006 02 155·7
 2006 03 475·6
 2006 04 185.5
 2006 05 15·5
 2006 06 945.6
 2006 07 245.7
 2006 08 735·7
 2006 09 265·3
 2006 10 545·3
 2006 11 105.4
 2006 12 595·2
 2007 01  265·6
 2007 02  775.4
 2007 03  185.3
 2007 04  205·4
 2007 05  765.3
 2007 06  705.5
 2007 07  855·5
 2007 08  275·5
 2007 09  765·5
 2007 10  645·6
 2007 11  755·5
 2007 12  725·8
 2008 01 526.0
 2008 02 155.9
 2008 03 745·9
 2008 04 765.8
 2008 05 546.3
 2008 06 76·5
 2008 07 976·7
 2008 08 817.1
 2008 09 577·1
 2008 10 447·5
 2008 11 818.0
 2008 12 588.4
 2009 01  639·1
 2009 02  599·5
 2009 03  899·9
 2009 04  110.2
 2009 05  9510·6
 2009 06  810·8
 2009 07  910·8
 2009 08  2810.9
 2009 09  611·0
 2009 10  7411.4
 2009 11  5411.2
 2009 12  8311.3
 2010 01 6911·3
 2010 02 6211·3
 2010 03 6111.2
 2010 04 3711.3
 2010 05 8610.9
 2010 06 510.9
 2010 07 9411·0
 2010 08 8310.9
 2010 09 8210.9
 2010 10 5811·0
 2010 11 4011·2
 2010 12 3910.9
 2011 01  610·8
 2011 02  410·6
 2011 03  1310.4
 2011 04  5210.5
 2011 05  3610.3
 2011 06  5010.7
 2011 07  4910.6
 2011 08  8810.5
 2011 09  7010.5
 2011 10  2610·3
 2011 11  1310.1
 2011 12  4310·0
 2012 01 359.9
 2012 02 909·8
 2012 03 929.6
 2012 04 369.6
 2012 05 819·6
 2012 06 239·6
 2012 07 989.6
 2012 08 119·6
 2012 09 839.3
 2012 10 329.2
 2012 11 719·2
 2012 12 379.4
 2013 01  419·4
 2013 02  489.2
 2013 03  728.9
 2013 04  88.9
 2013 05  828.8
 2013 06  289.0
 2013 07  898.7
 2013 08  438.6
 2013 09  558·6
 2013 10  548.5
 2013 11  368·2
 2013 12  868·1
 2014 01 358·1
 2014 02 338.0
 2014 03 507.9
 2014 04 77.5
 2014 05 247.5
 2014 06 957·3
 2014 07 957·5
 2014 08 07.4
 2014 09 467·3
 2014 10 987.0
 2014 11 577·0
 2014 12 846.9
 2015 01  527·0
 2015 02  246·8
 2015 03  516.7
 2015 04  36·7
 2015 05  186.6
 2015 06  786·4
 2015 07  136·4
 2015 08  266.2
 2015 09  436·2
 2015 10  936.2
 2015 11  76·1
 2015 12  476·1
 2016 01 536.2
 2016 02 256·0
 2016 03 216·0
 2016 04 856·0
 2016 05 995·7
 2016 06 566.0
 2016 07 686.0


 2016 08 855.9
 2016 09 556·0
 2016 10 925.9
 2016 11 845·8
 2016 12 165·7
 2017 01  235.8
 2017 02  665·7
 2017 03  355·4
 2017 04  725·3
 2017 05  275.2
 2017 06  335·3
 2017 07  65·3
 2017 08  715.4
 2017 09  195·1
 2017 10  765·0
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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: SA
   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

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