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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 01 948.8
 1994 02 938.5
 1994 03 768.1
 1994 04 967.5
 1994 05 317·0
 1994 06 577.5
 1994 07 577·5
 1994 08 427.2
 1994 09 26·9
 1994 10 886.6
 1994 11 86·5
 1994 12 556·4
 1995 01  607.5
 1995 02  697·1
 1995 03  416.9
 1995 04  796.6
 1995 05  786·5
 1995 06  46.9
 1995 07  947·0
 1995 08  846.6
 1995 09  586·5
 1995 10  276·3
 1995 11  316.4
 1995 12  646·4
 1996 01 247.5
 1996 02 947.2
 1996 03 396·9
 1996 04 386.4
 1996 05 276·4
 1996 06 866·6
 1996 07 326.7
 1996 08 506·1
 1996 09 436·1
 1996 10 105·9
 1996 11 466·1
 1996 12 696·0
 1997 01  717·0
 1997 02  986·8
 1997 03  456·5
 1997 04  895.9
 1997 05  385·7
 1997 06  66·1
 1997 07  175·9
 1997 08  305·7
 1997 09  935·6
 1997 10  165.3
 1997 11  745.2
 1997 12  365.4
 1998 01 136.2
 1998 02 356·0
 1998 03 566.0
 1998 04 765·0
 1998 05 965.0
 1998 06 945.5
 1998 07 235.6
 1998 08 435·3
 1998 09 705·3
 1998 10 505.1
 1998 11 655·0
 1998 12 584·8
 1999 01  835·7
 1999 02  845·6
 1999 03  945·3
 1999 04  645·0
 1999 05  134.8
 1999 06  45·3
 1999 07  495.2
 1999 08  304·9
 1999 09  584.9
 1999 10  404.7
 1999 11  914.6
 1999 12  514·5
 2000 01 445·3
 2000 02 505·3
 2000 03 95.1
 2000 04 464.5
 2000 05 224.6
 2000 06 154.9
 2000 07 165.0
 2000 08 584·8
 2000 09 684·6
 2000 10 424.3
 2000 11 504·5
 2000 12 574·4
 2001 01  815·5
 2001 02  625·4
 2001 03  735·3
 2001 04  384.9
 2001 05  864·9
 2001 06  335.5
 2001 07  745.5
 2001 08  185·8
 2001 09  355·6
 2001 10  355·9
 2001 11  656.2
 2001 12  436·3
 2002 01 37·3
 2002 02 757·0
 2002 03 857.0
 2002 04 826.6
 2002 05 906·5
 2002 06 856·9
 2002 07 956.9
 2002 08 286·6
 2002 09 216.3
 2002 10 226.3
 2002 11 856.5
 2002 12 06.6
 2003 01  477·5
 2003 02  677·4
 2003 03  667·2
 2003 04  446.7
 2003 05  446.7
 2003 06  277·4
 2003 07  777.3
 2003 08  287·1
 2003 09  116·8
 2003 10  336·6
 2003 11  816·6
 2003 12  466·4
 2004 01 747.3
 2004 02 437·1
 2004 03 667·1
 2004 04 186.3
 2004 05 836.3
 2004 06 376.7
 2004 07 446·7
 2004 08 876.4
 2004 09 146·1
 2004 10 236.1
 2004 11 546.1
 2004 12 226·1
 2005 01  686.9
 2005 02  326·8
 2005 03  576·4
 2005 04  185·9
 2005 05  695.8
 2005 06  206.2
 2005 07  436.1
 2005 08  955·9
 2005 09  685.7
 2005 10  705.5
 2005 11  245·7
 2005 12  955.6
 2006 01 406.1
 2006 02 886.1
 2006 03 385.8
 2006 04 885·4
 2006 05 865·3
 2006 06 65·8
 2006 07 485.9
 2006 08 695·6
 2006 09 325·2
 2006 10 795·0
 2006 11 415·2
 2006 12 575.0
 2007 01  266·0
 2007 02  915·8
 2007 03  315.4
 2007 04  945·2
 2007 05  465·1
 2007 06  485.6
 2007 07  565·7
 2007 08  525·5
 2007 09  915.3
 2007 10  805·3
 2007 11  785·3
 2007 12  245.6
 2008 01 876·4
 2008 02 456·2
 2008 03 856·1
 2008 04 285·6
 2008 05 846·1
 2008 06 256.7
 2008 07 917·0
 2008 08 107.1
 2008 09 576.9
 2008 10 267.1
 2008 11 327.6
 2008 12 388·3
 2009 01  89·7
 2009 02  8010·1
 2009 03  7310.3
 2009 04  79·8
 2009 05  6010·3
 2009 06  4310.9
 2009 07  011·0
 2009 08  3510.9
 2009 09  6610·8
 2009 10  9710.8
 2009 11  2710.7
 2009 12  6711·1
 2010 01 9912·0
 2010 02 4911·9
 2010 03 9211·5
 2010 04 7210·9
 2010 05 6110.6
 2010 06 3111.1
 2010 07 5711.2
 2010 08 4310·9
 2010 09 7610.7
 2010 10 9810.6
 2010 11 1010.8
 2010 12 110.7
 2011 01  9611.4
 2011 02  3311.1
 2011 03  6510·6
 2011 04  9010.1
 2011 05  9510.0
 2011 06  4210·9
 2011 07  5910·9
 2011 08  7710·6
 2011 09  7510.2
 2011 10  5710·0
 2011 11  559·7
 2011 12  599.8
 2012 01 6010.5
 2012 02 3410.2
 2012 03 429·7
 2012 04 539.1
 2012 05 09.3
 2012 06 569·9
 2012 07 3110·0
 2012 08 49·7
 2012 09 729·0
 2012 10 289·0
 2012 11 608.8
 2012 12 819.2
 2013 01  769.9
 2013 02  839.6
 2013 03  949·0
 2013 04  788·5
 2013 05  368·5
 2013 06  779.3
 2013 07  199·1
 2013 08  148·7
 2013 09  48.4
 2013 10  928.3
 2013 11  487·9
 2013 12  347·9
 2014 01 548.6
 2014 02 348.4
 2014 03 208.1
 2014 04 67.2
 2014 05 887·3
 2014 06 357·5
 2014 07 967.8
 2014 08 257.5
 2014 09 307.1
 2014 10 526·8
 2014 11 666·8
 2014 12 106·7
 2015 01  317.4
 2015 02  667·1
 2015 03  426·8
 2015 04  56.4
 2015 05  666.4
 2015 06  846·6
 2015 07  626·7
 2015 08  796.3
 2015 09  366·0
 2015 10  376.0
 2015 11  895.8
 2015 12  265·9
 2016 01 666.5
 2016 02 836.3
 2016 03 106.1
 2016 04 665.7
 2016 05 75.6
 2016 06 36.1
 2016 07 396·3
 2016 08 426.0


 2016 09 335·9
 2016 10 35·7
 2016 11 135.6
 2016 12 245.5
 2017 01  466.2
 2017 02  156·0
 2017 03  965·5
 2017 04  65.0
 2017 05  715.0
 2017 06  965·4
 2017 07  755.5
 2017 08  75.4
 2017 09  575.0
 2017 10  284·8
 2017 11  624.8
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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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