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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 01 998·8
 1994 02 918.5
 1994 03 698.1
 1994 04 747·5
 1994 05 707·0
 1994 06 237.5
 1994 07 37·5
 1994 08 67.2
 1994 09 136.9
 1994 10 616·6
 1994 11 446.5
 1994 12 446.4
 1995 01  807·5
 1995 02  847·1
 1995 03  56·9
 1995 04  306.6
 1995 05  456·5
 1995 06  16·9
 1995 07  247.0
 1995 08  356.6
 1995 09  96·5
 1995 10  436.3
 1995 11  636·4
 1995 12  526.4
 1996 01 977.5
 1996 02 657·2
 1996 03 126.9
 1996 04 16.4
 1996 05 596·4
 1996 06 516·6
 1996 07 826·7
 1996 08 256·1
 1996 09 716·1
 1996 10 65.9
 1996 11 126·1
 1996 12 946.0
 1997 01  347·0
 1997 02  626·8
 1997 03  646.5
 1997 04  25·9
 1997 05  725.7
 1997 06  776·1
 1997 07  265.9
 1997 08  685.7
 1997 09  375·6
 1997 10  305·3
 1997 11  125.2
 1997 12  365.4
 1998 01 36·2
 1998 02 306·0
 1998 03 586.0
 1998 04 765·0
 1998 05 715.0
 1998 06 85·5
 1998 07 295.6
 1998 08 815.3
 1998 09 665.3
 1998 10 205·1
 1998 11 115·0
 1998 12 704·8
 1999 01  395.7
 1999 02  485.6
 1999 03  185.3
 1999 04  885·0
 1999 05  654·8
 1999 06  985·3
 1999 07  885.2
 1999 08  44.9
 1999 09  444.9
 1999 10  34.7
 1999 11  834.6
 1999 12  134.5
 2000 01 25.3
 2000 02 195.3
 2000 03 925.1
 2000 04 324.5
 2000 05 894·6
 2000 06 284·9
 2000 07 275·0
 2000 08 64.8
 2000 09 814·6
 2000 10 364.3
 2000 11 264.5
 2000 12 64·4
 2001 01  785.5
 2001 02  755·4
 2001 03  525.3
 2001 04  234.9
 2001 05  64·9
 2001 06  15.5
 2001 07  935.5
 2001 08  795·8
 2001 09  145.6
 2001 10  965·9
 2001 11  626.2
 2001 12  166·3
 2002 01 787·3
 2002 02 687·0
 2002 03 977.0
 2002 04 46.6
 2002 05 996.5
 2002 06 466·9
 2002 07 616.9
 2002 08 376.6
 2002 09 26.3
 2002 10 896·3
 2002 11 416·5
 2002 12 356.6
 2003 01  387.5
 2003 02  787·4
 2003 03  507.2
 2003 04  416·7
 2003 05  816.7
 2003 06  197·4
 2003 07  277.3
 2003 08  257·1
 2003 09  326.8
 2003 10  446.6
 2003 11  346·6
 2003 12  806·4
 2004 01 177.3
 2004 02 97.1
 2004 03 597·1
 2004 04 266·3
 2004 05 856·3
 2004 06 976·7
 2004 07 156.7
 2004 08 86.4
 2004 09 136·1
 2004 10 146·1
 2004 11 406.1
 2004 12 936·1
 2005 01  16·9
 2005 02  916.8
 2005 03  976.4
 2005 04  775.9
 2005 05  735.8
 2005 06  866.2
 2005 07  736.1
 2005 08  785.9
 2005 09  825·7
 2005 10  805·5
 2005 11  825·7
 2005 12  405.6
 2006 01 16.1
 2006 02 796.1
 2006 03 615·8
 2006 04 345·4
 2006 05 315.3
 2006 06 155·8
 2006 07 745·9
 2006 08 525.6
 2006 09 985·2
 2006 10 455·0
 2006 11 85·2
 2006 12 145·0
 2007 01  526.0
 2007 02  505·8
 2007 03  765·4
 2007 04  645·2
 2007 05  685·1
 2007 06  375·6
 2007 07  165.7
 2007 08  715·5
 2007 09  485·3
 2007 10  385·3
 2007 11  915·3
 2007 12  305·6
 2008 01 156·4
 2008 02 106·2
 2008 03 886.1
 2008 04 605.6
 2008 05 216·1
 2008 06 336.7
 2008 07 227.0
 2008 08 47.1
 2008 09 416·9
 2008 10 157·1
 2008 11 287.6
 2008 12 328.3
 2009 01  769.7
 2009 02  8810·1
 2009 03  7210·3
 2009 04  389.8
 2009 05  5010.3
 2009 06  710.9
 2009 07  4011.0
 2009 08  4110·9
 2009 09  1510.8
 2009 10  5510.8
 2009 11  4510·7
 2009 12  8511.1
 2010 01 4412·0
 2010 02 3811·9
 2010 03 2511·5
 2010 04 3910·9
 2010 05 4010·6
 2010 06 8711·1
 2010 07 4311.2
 2010 08 9910·9
 2010 09 2810.7
 2010 10 6110·6
 2010 11 8710.8
 2010 12 8110.7
 2011 01  5711.4
 2011 02  3911·1
 2011 03  7010·6
 2011 04  3210.1
 2011 05  310·0
 2011 06  2910·9
 2011 07  2910·9
 2011 08  1910.6
 2011 09  6610·2
 2011 10  6310.0
 2011 11  289·7
 2011 12  389.8
 2012 01 7310·5
 2012 02 9610·2
 2012 03 559·7
 2012 04 79·1
 2012 05 739·3
 2012 06 119·9
 2012 07 2210.0
 2012 08 709.7
 2012 09 419.0
 2012 10 159.0
 2012 11 678·8
 2012 12 979·2
 2013 01  799·9
 2013 02  389·6
 2013 03  539·0
 2013 04  818·5
 2013 05  118.5
 2013 06  389.3
 2013 07  689·1
 2013 08  428.7
 2013 09  888.4
 2013 10  978·3
 2013 11  267.9
 2013 12  247.9
 2014 01 858·6
 2014 02 208.4
 2014 03 638.1
 2014 04 977·2
 2014 05 37.3
 2014 06 397·5
 2014 07 437·8
 2014 08 537.5
 2014 09 667·1
 2014 10 126.8
 2014 11 536.8
 2014 12 136·7
 2015 01  277.4
 2015 02  207.1
 2015 03  76.8
 2015 04  206.4
 2015 05  596·4
 2015 06  696.6
 2015 07  426.7
 2015 08  446·3
 2015 09  636.0
 2015 10  916.0
 2015 11  225·8
 2015 12  785.9
 2016 01 656.5
 2016 02 436.3
 2016 03 336.1
 2016 04 435.7
 2016 05 155.6
 2016 06 66·1
 2016 07 906·3
 2016 08 816·0
 2016 09 885.9
 2016 10 875.7
 2016 11 305.6
 2016 12 635·5
 2017 01  856·2


 2017 02  186·0
 2017 03  155·5
 2017 04  825.0
 2017 05  315.0
 2017 06  555·4
 2017 07  355·5
 2017 08  585.4
 2017 09  765.0
 2017 10  804.8
 2017 11  04·8
 2017 12  344·9
 2018 01 975·5
 2018 02 05·3
 2018 03 515·0
 2018 04 804·5
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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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