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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 01 538·8
 1994 02 88·5
 1994 03 248.1
 1994 04 787·5
 1994 05 737.0
 1994 06 127.5
 1994 07 17.5
 1994 08 757·2
 1994 09 536.9
 1994 10 76.6
 1994 11 726·5
 1994 12 656·4
 1995 01  447.5
 1995 02  777.1
 1995 03  516·9
 1995 04  916·6
 1995 05  206·5
 1995 06  276.9
 1995 07  757·0
 1995 08  236·6
 1995 09  836.5
 1995 10  906.3
 1995 11  76·4
 1995 12  556.4
 1996 01 577·5
 1996 02 217.2
 1996 03 366·9
 1996 04 66.4
 1996 05 946·4
 1996 06 26.6
 1996 07 746.7
 1996 08 206·1
 1996 09 686·1
 1996 10 415.9
 1996 11 596·1
 1996 12 666.0
 1997 01  797·0
 1997 02  686·8
 1997 03  546.5
 1997 04  395.9
 1997 05  545·7
 1997 06  416.1
 1997 07  475.9
 1997 08  575·7
 1997 09  435.6
 1997 10  405·3
 1997 11  505·2
 1997 12  645.4
 1998 01 206·2
 1998 02 736·0
 1998 03 26·0
 1998 04 315·0
 1998 05 875·0
 1998 06 725.5
 1998 07 655.6
 1998 08 515·3
 1998 09 695·3
 1998 10 925·1
 1998 11 285·0
 1998 12 424.8
 1999 01  165.7
 1999 02  165.6
 1999 03  25.3
 1999 04  505·0
 1999 05  34.8
 1999 06  505.3
 1999 07  275·2
 1999 08  434.9
 1999 09  314·9
 1999 10  264·7
 1999 11  654.6
 1999 12  164·5
 2000 01 265·3
 2000 02 15·3
 2000 03 45·1
 2000 04 884·5
 2000 05 374·6
 2000 06 554.9
 2000 07 575·0
 2000 08 24.8
 2000 09 414.6
 2000 10 964·3
 2000 11 624.5
 2000 12 284·4
 2001 01  375·5
 2001 02  565·4
 2001 03  815·3
 2001 04  604.9
 2001 05  514.9
 2001 06  915.5
 2001 07  25·5
 2001 08  185.8
 2001 09  335·6
 2001 10  825·9
 2001 11  396·2
 2001 12  456·3
 2002 01 597·3
 2002 02 377·0
 2002 03 297·0
 2002 04 106.6
 2002 05 296.5
 2002 06 866.9
 2002 07 356.9
 2002 08 86·6
 2002 09 696·3
 2002 10 886·3
 2002 11 466·5
 2002 12 586·6
 2003 01  287.5
 2003 02  227.4
 2003 03  737·2
 2003 04  46·7
 2003 05  826·7
 2003 06  967.4
 2003 07  557·3
 2003 08  157.1
 2003 09  336·8
 2003 10  426.6
 2003 11  546·6
 2003 12  856.4
 2004 01 47.3
 2004 02 167·1
 2004 03 607.1
 2004 04 336.3
 2004 05 466.3
 2004 06 06.7
 2004 07 846·7
 2004 08 46·4
 2004 09 366.1
 2004 10 06·1
 2004 11 646.1
 2004 12 666.1
 2005 01  736.9
 2005 02  496·8
 2005 03  636.4
 2005 04  155.9
 2005 05  825·8
 2005 06  26·2
 2005 07  706.1
 2005 08  685·9
 2005 09  145·7
 2005 10  415.5
 2005 11  965·7
 2005 12  705.6
 2006 01 456.1
 2006 02 736.1
 2006 03 815.8
 2006 04 905.4
 2006 05 745.3
 2006 06 305.8
 2006 07 875·9
 2006 08 235.6
 2006 09 275·2
 2006 10 695·0
 2006 11 15·2
 2006 12 875·0
 2007 01  556·0
 2007 02  705·8
 2007 03  365·4
 2007 04  275.2
 2007 05  335·1
 2007 06  415.6
 2007 07  325·7
 2007 08  125.5
 2007 09  625.3
 2007 10  135·3
 2007 11  495.3
 2007 12  355·6
 2008 01 666·4
 2008 02 436·2
 2008 03 776·1
 2008 04 175.6
 2008 05 966·1
 2008 06 126.7
 2008 07 287·0
 2008 08 17.1
 2008 09 276·9
 2008 10 277.1
 2008 11 417.6
 2008 12 568·3
 2009 01  619.7
 2009 02  2110·1
 2009 03  7710.3
 2009 04  769·8
 2009 05  2210.3
 2009 06  4810.9
 2009 07  2511·0
 2009 08  8110.9
 2009 09  6010·8
 2009 10  9210·8
 2009 11  9810.7
 2009 12  1511·1
 2010 01 5212·0
 2010 02 5811·9
 2010 03 3311·5
 2010 04 4710·9
 2010 05 9710.6
 2010 06 7911·1
 2010 07 9411.2
 2010 08 7110·9
 2010 09 2010·7
 2010 10 1110·6
 2010 11 6810.8
 2010 12 610.7
 2011 01  7311.4
 2011 02  3511.1
 2011 03  6910.6
 2011 04  9610.1
 2011 05  3110·0
 2011 06  5810.9
 2011 07  3310.9
 2011 08  1110.6
 2011 09  9410·2
 2011 10  1310.0
 2011 11  259·7
 2011 12  449·8
 2012 01 8710·5
 2012 02 5510.2
 2012 03 329.7
 2012 04 159·1
 2012 05 619·3
 2012 06 669·9
 2012 07 6710.0
 2012 08 689·7
 2012 09 919.0
 2012 10 539·0
 2012 11 678·8
 2012 12 729·2
 2013 01  779·9
 2013 02  479.6
 2013 03  969·0
 2013 04  218.5
 2013 05  468.5
 2013 06  59·3
 2013 07  429.1
 2013 08  348.7
 2013 09  478·4
 2013 10  108·3
 2013 11  177.9
 2013 12  567.9
 2014 01 558·6
 2014 02 668.4
 2014 03 598·1
 2014 04 557.2
 2014 05 727·3
 2014 06 77·5
 2014 07 327.8
 2014 08 267·5
 2014 09 227.1
 2014 10 886.8
 2014 11 236.8
 2014 12 886·7
 2015 01  577.4
 2015 02  917.1
 2015 03  446.8
 2015 04  856·4
 2015 05  506·4


 2015 06  246.6
 2015 07  356.7
 2015 08  866·3
 2015 09  46.0
 2015 10  176.0
 2015 11  575·8
 2015 12  855·9
 2016 01 426·5
 2016 02 276.3
 2016 03 996·1
 2016 04 25.7
 2016 05 165·6
 2016 06 366.1
 2016 07 746.3
 2016 08 806·0
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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: 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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