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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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 1994 01 808.8
 1994 02 938.5
 1994 03 188·1
 1994 04 627·5
 1994 05 607·0
 1994 06 467·5
 1994 07 577·5
 1994 08 627·2
 1994 09 66.9
 1994 10 976·6
 1994 11 986.5
 1994 12 606.4
 1995 01  697.5
 1995 02  287·1
 1995 03  526·9
 1995 04  06.6
 1995 05  246.5
 1995 06  466.9
 1995 07  587·0
 1995 08  536·6
 1995 09  726·5
 1995 10  826.3
 1995 11  796·4
 1995 12  126·4
 1996 01 377·5
 1996 02 937·2
 1996 03 26·9
 1996 04 966.4
 1996 05 716·4
 1996 06 616.6
 1996 07 406.7
 1996 08 506.1
 1996 09 496.1
 1996 10 925.9
 1996 11 326·1
 1996 12 416.0
 1997 01  707·0
 1997 02  196.8
 1997 03  406.5
 1997 04  665·9
 1997 05  615·7
 1997 06  966.1
 1997 07  525.9
 1997 08  425.7
 1997 09  725.6
 1997 10  75·3
 1997 11  805·2
 1997 12  155.4
 1998 01 786.2
 1998 02 586.0
 1998 03 646·0
 1998 04 525.0
 1998 05 805.0
 1998 06 815.5
 1998 07 655·6
 1998 08 495.3
 1998 09 35·3
 1998 10 315·1
 1998 11 725·0
 1998 12 244·8
 1999 01  975.7
 1999 02  925.6
 1999 03  975·3
 1999 04  215·0
 1999 05  384.8
 1999 06  685·3
 1999 07  795·2
 1999 08  104.9
 1999 09  264.9
 1999 10  934.7
 1999 11  804.6
 1999 12  854·5
 2000 01 875.3
 2000 02 235.3
 2000 03 885.1
 2000 04 654·5
 2000 05 714.6
 2000 06 394.9
 2000 07 175.0
 2000 08 944·8
 2000 09 534·6
 2000 10 484·3
 2000 11 34.5
 2000 12 414.4
 2001 01  345·5
 2001 02  815·4
 2001 03  105·3
 2001 04  04·9
 2001 05  394·9
 2001 06  965·5
 2001 07  255·5
 2001 08  915·8
 2001 09  195·6
 2001 10  745·9
 2001 11  636·2
 2001 12  576·3
 2002 01 487·3
 2002 02 217·0
 2002 03 607·0
 2002 04 686·6
 2002 05 286·5
 2002 06 706·9
 2002 07 796.9
 2002 08 186·6
 2002 09 836.3
 2002 10 766·3
 2002 11 86·5
 2002 12 276.6
 2003 01  657.5
 2003 02  227.4
 2003 03  617·2
 2003 04  376.7
 2003 05  486·7
 2003 06  147·4
 2003 07  757·3
 2003 08  187.1
 2003 09  336·8
 2003 10  846·6
 2003 11  126.6
 2003 12  666.4
 2004 01 467·3
 2004 02 887.1
 2004 03 627·1
 2004 04 976.3
 2004 05 366.3
 2004 06 86.7
 2004 07 366.7
 2004 08 586.4
 2004 09 796.1
 2004 10 516.1
 2004 11 736.1
 2004 12 166.1
 2005 01  756.9
 2005 02  496.8
 2005 03  366.4
 2005 04  665.9
 2005 05  515·8
 2005 06  576.2
 2005 07  126.1
 2005 08  285.9
 2005 09  555·7
 2005 10  585.5
 2005 11  145.7
 2005 12  455.6
 2006 01 646·1
 2006 02 586·1
 2006 03 805.8
 2006 04 865.4
 2006 05 795.3
 2006 06 895·8
 2006 07 735·9
 2006 08 465·6
 2006 09 235·2
 2006 10 75.0
 2006 11 825.2
 2006 12 435.0
 2007 01  496·0
 2007 02  955·8
 2007 03  185.4
 2007 04  235·2
 2007 05  305.1
 2007 06  585·6
 2007 07  205.7
 2007 08  535.5
 2007 09  685·3
 2007 10  295.3
 2007 11  515.3
 2007 12  295.6
 2008 01 886·4
 2008 02 646·2
 2008 03 986·1
 2008 04 685.6
 2008 05 416.1
 2008 06 456·7
 2008 07 757·0
 2008 08 177·1
 2008 09 16·9
 2008 10 787·1
 2008 11 197.6
 2008 12 438.3
 2009 01  709·7
 2009 02  9510.1
 2009 03  9310.3
 2009 04  409.8
 2009 05  7110.3
 2009 06  5310·9
 2009 07  8511.0
 2009 08  2910·9
 2009 09  5710.8
 2009 10  3310·8
 2009 11  810·7
 2009 12  5211.1
 2010 01 212.0
 2010 02 4211.9
 2010 03 011·5
 2010 04 8010·9
 2010 05 710·6
 2010 06 1211·1
 2010 07 2411.2
 2010 08 510.9
 2010 09 9710·7
 2010 10 9810.6
 2010 11 6810.8
 2010 12 4910·7
 2011 01  2211·4
 2011 02  8411.1
 2011 03  4410·6
 2011 04  5310·1
 2011 05  5910·0
 2011 06  7510·9
 2011 07  9010·9
 2011 08  8910.6
 2011 09  610·2
 2011 10  410·0
 2011 11  709·7
 2011 12  499.8
 2012 01 9010.5
 2012 02 2610.2
 2012 03 719.7
 2012 04 539·1
 2012 05 629·3
 2012 06 239·9
 2012 07 610.0
 2012 08 469·7
 2012 09 959·0
 2012 10 39·0
 2012 11 138.8
 2012 12 959·2
 2013 01  929·9
 2013 02  969.6
 2013 03  569.0
 2013 04  978·5
 2013 05  768.5
 2013 06  609.3
 2013 07  209.1
 2013 08  688·7
 2013 09  08·4
 2013 10  758.3
 2013 11  217.9
 2013 12  547·9
 2014 01 378.6
 2014 02 498.4
 2014 03 958.1
 2014 04 257.2
 2014 05 897.3
 2014 06 147·5
 2014 07 67.8
 2014 08 737·5
 2014 09 807·1
 2014 10 256·8
 2014 11 416·8
 2014 12 186·7


 2015 01  627·4
 2015 02  657·1
 2015 03  136.8
 2015 04  46.4
 2015 05  96·4
 2015 06  406·6
 2015 07  606.7
 2015 08  16·3
 2015 09  226.0
 2015 10  826.0
 2015 11  455.8
 2015 12  25.9
 2016 01 266.5
 2016 02 486.3
 2016 03 566·1
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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

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