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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 58·8
 1994 02 858.5
 1994 03 168.1
 1994 04 947.5
 1994 05 417.0
 1994 06 787·5
 1994 07 307.5
 1994 08 537·2
 1994 09 816·9
 1994 10 76.6
 1994 11 836.5
 1994 12 476·4
 1995 01  757·5
 1995 02  537·1
 1995 03  876.9
 1995 04  226.6
 1995 05  986·5
 1995 06  246·9
 1995 07  807·0
 1995 08  476.6
 1995 09  526·5
 1995 10  516.3
 1995 11  266.4
 1995 12  156·4
 1996 01 617.5
 1996 02 907.2
 1996 03 116·9
 1996 04 466·4
 1996 05 766.4
 1996 06 236·6
 1996 07 496·7
 1996 08 836·1
 1996 09 726.1
 1996 10 575·9
 1996 11 786.1
 1996 12 976·0
 1997 01  497·0
 1997 02  246.8
 1997 03  616·5
 1997 04  815·9
 1997 05  345·7
 1997 06  806·1
 1997 07  855·9
 1997 08  545·7
 1997 09  765.6
 1997 10  65·3
 1997 11  645.2
 1997 12  605·4
 1998 01 516.2
 1998 02 106.0
 1998 03 356·0
 1998 04 695.0
 1998 05 585·0
 1998 06 235·5
 1998 07 615·6
 1998 08 755.3
 1998 09 255·3
 1998 10 15.1
 1998 11 305.0
 1998 12 974·8
 1999 01  05·7
 1999 02  275.6
 1999 03  555·3
 1999 04  785·0
 1999 05  604.8
 1999 06  75·3
 1999 07  745·2
 1999 08  894.9
 1999 09  44.9
 1999 10  724·7
 1999 11  504.6
 1999 12  234.5
 2000 01 585.3
 2000 02 805·3
 2000 03 705.1
 2000 04 04.5
 2000 05 734.6
 2000 06 114·9
 2000 07 485·0
 2000 08 624·8
 2000 09 244.6
 2000 10 734.3
 2000 11 224·5
 2000 12 814·4
 2001 01  115·5
 2001 02  975·4
 2001 03  545·3
 2001 04  504·9
 2001 05  594.9
 2001 06  405·5
 2001 07  325.5
 2001 08  875·8
 2001 09  205·6
 2001 10  835.9
 2001 11  696.2
 2001 12  386.3
 2002 01 687.3
 2002 02 337.0
 2002 03 37.0
 2002 04 716·6
 2002 05 46.5
 2002 06 226.9
 2002 07 976·9
 2002 08 806·6
 2002 09 536·3
 2002 10 66·3
 2002 11 396·5
 2002 12 856.6
 2003 01  667·5
 2003 02  687·4
 2003 03  417·2
 2003 04  296·7
 2003 05  186.7
 2003 06  137·4
 2003 07  427.3
 2003 08  827·1
 2003 09  96·8
 2003 10  736.6
 2003 11  56.6
 2003 12  396·4
 2004 01 657.3
 2004 02 57.1
 2004 03 177.1
 2004 04 176.3
 2004 05 366.3
 2004 06 916·7
 2004 07 916.7
 2004 08 626.4
 2004 09 976.1
 2004 10 376·1
 2004 11 656·1
 2004 12 426.1
 2005 01  506·9
 2005 02  746·8
 2005 03  26.4
 2005 04  515.9
 2005 05  195.8
 2005 06  606·2
 2005 07  906·1
 2005 08  95.9
 2005 09  545.7
 2005 10  775.5
 2005 11  425.7
 2005 12  605.6
 2006 01 326·1
 2006 02 306.1
 2006 03 965.8
 2006 04 735·4
 2006 05 525·3
 2006 06 515·8
 2006 07 145.9
 2006 08 425.6
 2006 09 415.2
 2006 10 975.0
 2006 11 855·2
 2006 12 875.0
 2007 01  476·0
 2007 02  505.8
 2007 03  215.4
 2007 04  505·2
 2007 05  475.1
 2007 06  175.6
 2007 07  605.7
 2007 08  25.5
 2007 09  415.3
 2007 10  285.3
 2007 11  665·3
 2007 12  375·6
 2008 01 556·4
 2008 02 416·2
 2008 03 256.1
 2008 04 735.6
 2008 05 396.1
 2008 06 376.7
 2008 07 527·0
 2008 08 567.1
 2008 09 676·9
 2008 10 237·1
 2008 11 837.6
 2008 12 548·3
 2009 01  429.7
 2009 02  3110·1
 2009 03  8210·3
 2009 04  609·8
 2009 05  8710·3
 2009 06  1710.9
 2009 07  3611.0
 2009 08  9510·9
 2009 09  5410.8
 2009 10  6210.8
 2009 11  5910.7
 2009 12  311.1
 2010 01 1812·0
 2010 02 7411·9
 2010 03 8911·5
 2010 04 5210·9
 2010 05 7910.6
 2010 06 8411.1
 2010 07 8811·2
 2010 08 3710·9
 2010 09 6210·7
 2010 10 4910.6
 2010 11 4310·8
 2010 12 7710.7
 2011 01  1811·4
 2011 02  5011.1
 2011 03  6910.6
 2011 04  1610·1
 2011 05  2310.0
 2011 06  9410.9
 2011 07  310·9
 2011 08  2310·6
 2011 09  7710·2
 2011 10  1310.0
 2011 11  89·7
 2011 12  939·8
 2012 01 510·5
 2012 02 6310.2
 2012 03 719.7
 2012 04 449·1
 2012 05 579·3
 2012 06 269·9
 2012 07 610·0
 2012 08 209·7
 2012 09 99·0
 2012 10 89·0
 2012 11 518·8
 2012 12 929.2
 2013 01  629·9
 2013 02  429.6
 2013 03  679.0
 2013 04  528.5
 2013 05  408.5
 2013 06  849·3
 2013 07  459·1
 2013 08  208.7
 2013 09  948.4
 2013 10  158·3
 2013 11  957.9
 2013 12  417·9
 2014 01 08.6
 2014 02 428.4
 2014 03 568·1
 2014 04 827·2
 2014 05 587.3
 2014 06 977·5
 2014 07 927·8
 2014 08 407.5
 2014 09 937.1
 2014 10 366.8
 2014 11 896.8
 2014 12 316.7
 2015 01  557.4
 2015 02  417.1
 2015 03  616·8


 2015 04  26·4
 2015 05  216·4
 2015 06  196.6
 2015 07  466.7
 2015 08  206.3
 2015 09  906.0
 2015 10  26·0
 2015 11  65.8
 2015 12  815·9
 2016 01 886.5
 2016 02 456·3
 2016 03 296·1
 2016 04 35·7
 2016 05 655.6
 2016 06 316·1
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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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