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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: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 478·1
 1994 02 87·9
 1994 03 07.7
 1994 04 587·6
 1994 05 397.2
 1994 06 47·3
 1994 07 157.3
 1994 08 647·2
 1994 09 247·1
 1994 10 246.9
 1994 11 566.7
 1994 12 946·7
 1995 01  496·8
 1995 02  506.6
 1995 03  366·6
 1995 04  916·7
 1995 05  926.6
 1995 06  876.7
 1995 07  926·7
 1995 08  256·7
 1995 09  536·7
 1995 10  676·6
 1995 11  886.6
 1995 12  916.7
 1996 01 566·8
 1996 02 476·7
 1996 03 116·6
 1996 04 76.6
 1996 05 536.5
 1996 06 96·4
 1996 07 756.5
 1996 08 176.1
 1996 09 186.2
 1996 10 606·2
 1996 11 176·4
 1996 12 906·3
 1997 01  536·4
 1997 02  306.3
 1997 03  16.1
 1997 04  226·0
 1997 05  825.8
 1997 06  775.9
 1997 07  135·7
 1997 08  305·7
 1997 09  555.8
 1997 10  825·6
 1997 11  675·5
 1997 12  595.7
 1998 01 495·6
 1998 02 525.6
 1998 03 15·6
 1998 04 785·2
 1998 05 645·2
 1998 06 195·3
 1998 07 785.4
 1998 08 815.3
 1998 09 255.4
 1998 10 395.3
 1998 11 855.2
 1998 12 875·1
 1999 01  825·2
 1999 02  935·3
 1999 03  365·0
 1999 04  415·2
 1999 05  115.0
 1999 06  895·1
 1999 07  685·1
 1999 08  125·0
 1999 09  125.0
 1999 10  584.9
 1999 11  444·8
 1999 12  944·8
 2000 01 114.8
 2000 02 575.0
 2000 03 534·8
 2000 04 54·7
 2000 05 574.8
 2000 06 674·7
 2000 07 64·8
 2000 08 904·8
 2000 09 274.7
 2000 10 954.6
 2000 11 434·7
 2000 12 194·7
 2001 01  215·0
 2001 02  735·1
 2001 03  255·0
 2001 04  855.1
 2001 05  645.1
 2001 06  575.3
 2001 07  415.4
 2001 08  85·8
 2001 09  75.8
 2001 10  296.2
 2001 11  46.4
 2001 12  316.6
 2002 01 246.7
 2002 02 956·6
 2002 03 516.6
 2002 04 236.8
 2002 05 176.7
 2002 06 886.7
 2002 07 466·8
 2002 08 806.7
 2002 09 106·6
 2002 10 636.6
 2002 11 766·8
 2002 12 206·9
 2003 01  556.9
 2003 02  36.9
 2003 03  546.9
 2003 04  876·9
 2003 05  267·0
 2003 06  147.2
 2003 07  187·1
 2003 08  507.1
 2003 09  247·1
 2003 10  287·0
 2003 11  316·8
 2003 12  46·6
 2004 01 746·8
 2004 02 26.6
 2004 03 816.8
 2004 04 676.5
 2004 05 276·6
 2004 06 166.6
 2004 07 816·5
 2004 08 846.4
 2004 09 586.4
 2004 10 786.5
 2004 11 686·3
 2004 12 246.3
 2005 01  676.4
 2005 02  196·4
 2005 03  66.2
 2005 04  816·1
 2005 05  806.0
 2005 06  976·0
 2005 07  825.9
 2005 08  745.9
 2005 09  485·9
 2005 10  925.9
 2005 11  105.9
 2005 12  485·8
 2006 01 455.7
 2006 02 115·7
 2006 03 265.6
 2006 04 715.5
 2006 05 725·5
 2006 06 865.6
 2006 07 955·7
 2006 08 375.7
 2006 09 555·3
 2006 10 745.3
 2006 11 45·4
 2006 12 665·2
 2007 01  435.6
 2007 02  555·4
 2007 03  665.3
 2007 04  25.4
 2007 05  125.3
 2007 06  385.5
 2007 07  185·5
 2007 08  145.5
 2007 09  635.5
 2007 10  535·6
 2007 11  245.5
 2007 12  975·8
 2008 01 216·0
 2008 02 575.9
 2008 03 725.9
 2008 04 685·8
 2008 05 376·3
 2008 06 326·5
 2008 07 746.7
 2008 08 737.1
 2008 09 857.1
 2008 10 847.5
 2008 11 688.0
 2008 12 818.4
 2009 01  669.1
 2009 02  469·5
 2009 03  189·9
 2009 04  8510·2
 2009 05  610·6
 2009 06  7310·8
 2009 07  1010.8
 2009 08  510.9
 2009 09  5511.0
 2009 10  4711·4
 2009 11  5911.2
 2009 12  8511.3
 2010 01 8811·3
 2010 02 7511·3
 2010 03 111.2
 2010 04 9411.3
 2010 05 510.9
 2010 06 8910·9
 2010 07 111·0
 2010 08 2610.9
 2010 09 3310·9
 2010 10 4511·0
 2010 11 4411.2
 2010 12 110.9
 2011 01  2110.8
 2011 02  2510·6
 2011 03  4610.4
 2011 04  6310·5
 2011 05  4610·3
 2011 06  3510·7
 2011 07  4310.6
 2011 08  8010·5
 2011 09  610·5
 2011 10  710.3
 2011 11  9810.1
 2011 12  4710.0
 2012 01 289·9
 2012 02 999.8
 2012 03 09·6
 2012 04 839·6
 2012 05 629.6
 2012 06 909·6
 2012 07 609·6
 2012 08 329·6
 2012 09 849·3
 2012 10 899.2
 2012 11 189.2
 2012 12 639.4
 2013 01  939·4
 2013 02  269.2
 2013 03  358·9
 2013 04  718·9
 2013 05  168.8
 2013 06  599.1
 2013 07  08·7
 2013 08  748·6
 2013 09  28·6
 2013 10  698.5
 2013 11  268·2
 2013 12  178·1
 2014 01 278·1
 2014 02 628.0
 2014 03 518.0
 2014 04 697·5
 2014 05 917·5
 2014 06 717.3
 2014 07 377.5
 2014 08 237·4
 2014 09 217·3
 2014 10 517.0
 2014 11 727.0
 2014 12 06·9
 2015 01  657·0
 2015 02  856.8
 2015 03  706.7
 2015 04  436.7
 2015 05  06·6
 2015 06  806.4
 2015 07  676.4
 2015 08  226.2
 2015 09  266.2
 2015 10  666.2
 2015 11  286·1
 2015 12  306.1
 2016 01 696.2
 2016 02 06.0
 2016 03 406.1
 2016 04 866.0
 2016 05 785·7
 2016 06 656·0
 2016 07 156·0
 2016 08 365·9
 2016 09 296·0
 2016 10 675·9
 2016 11 925·8
 2016 12 475.7
 2017 01  235.8
 2017 02  365.7
 2017 03  345.4
 2017 04  145.3
 2017 05  845·2
 2017 06  315·3


 2017 07  285.3
 2017 08  575·4
 2017 09  645·1
 2017 10  335·0
 2017 11  875.0
 2017 12  195.1
 2018 01 385·1
 2018 02 485·1
 2018 03 504.9
 2018 04 704.7
 2018 05 54·6
 2018 06 74.9
 2018 07 794·8
 2018 08 34·7
 2018 09 924.6
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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: SA
   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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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