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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 88·8
 1994 02 448.5
 1994 03 908·1
 1994 04 617·5
 1994 05 967.0
 1994 06 377·5
 1994 07 287·5
 1994 08 417.2
 1994 09 326·9
 1994 10 106·6
 1994 11 486.5
 1994 12 26·4
 1995 01  657·5
 1995 02  457·1
 1995 03  646.9
 1995 04  876.6
 1995 05  726.5
 1995 06  476.9
 1995 07  127·0
 1995 08  656.6
 1995 09  526·5
 1995 10  496.3
 1995 11  566.4
 1995 12  306.4
 1996 01 327.5
 1996 02 77·2
 1996 03 846·9
 1996 04 16.4
 1996 05 616.4
 1996 06 36·6
 1996 07 86.7
 1996 08 246.1
 1996 09 156.1
 1996 10 445.9
 1996 11 676.1
 1996 12 666.0
 1997 01  957.0
 1997 02  616.8
 1997 03  246.5
 1997 04  225.9
 1997 05  255·7
 1997 06  116.1
 1997 07  655·9
 1997 08  115·7
 1997 09  565·6
 1997 10  755.3
 1997 11  55·2
 1997 12  775.4
 1998 01 646·2
 1998 02 606·0
 1998 03 816·0
 1998 04 895.0
 1998 05 495.0
 1998 06 985.5
 1998 07 565·6
 1998 08 425.3
 1998 09 365·3
 1998 10 465·1
 1998 11 175·0
 1998 12 554·8
 1999 01  755.7
 1999 02  855.6
 1999 03  795.3
 1999 04  715.0
 1999 05  434.8
 1999 06  215.3
 1999 07  785.2
 1999 08  604·9
 1999 09  394·9
 1999 10  864·7
 1999 11  774.6
 1999 12  164·5
 2000 01 895·3
 2000 02 385·3
 2000 03 655.1
 2000 04 594.5
 2000 05 434.6
 2000 06 574·9
 2000 07 555·0
 2000 08 314·8
 2000 09 774·6
 2000 10 514.3
 2000 11 834·5
 2000 12 44.4
 2001 01  915·5
 2001 02  505.4
 2001 03  145·3
 2001 04  694.9
 2001 05  104.9
 2001 06  125.5
 2001 07  345.5
 2001 08  485·8
 2001 09  855.6
 2001 10  185·9
 2001 11  576.2
 2001 12  836·3
 2002 01 917·3
 2002 02 757.0
 2002 03 227.0
 2002 04 446.6
 2002 05 296.5
 2002 06 146.9
 2002 07 896.9
 2002 08 266.6
 2002 09 246.3
 2002 10 926·3
 2002 11 496·5
 2002 12 466·6
 2003 01  267·5
 2003 02  917·4
 2003 03  127·2
 2003 04  506·7
 2003 05  116.7
 2003 06  187·4
 2003 07  187.3
 2003 08  77·1
 2003 09  796.8
 2003 10  36·6
 2003 11  306.6
 2003 12  116·4
 2004 01 557·3
 2004 02 47·1
 2004 03 347·1
 2004 04 806.3
 2004 05 916·3
 2004 06 36.7
 2004 07 446.7
 2004 08 596.4
 2004 09 606·1
 2004 10 56.1
 2004 11 996.1
 2004 12 186·1
 2005 01  656·9
 2005 02  436·8
 2005 03  596.4
 2005 04  495.9
 2005 05  295·8
 2005 06  736·2
 2005 07  156·1
 2005 08  735.9
 2005 09  45·7
 2005 10  775·5
 2005 11  785.7
 2005 12  345.6
 2006 01 656·1
 2006 02 626·1
 2006 03 875·8
 2006 04 05·4
 2006 05 125.3
 2006 06 595·8
 2006 07 45·9
 2006 08 665·6
 2006 09 715.2
 2006 10 245.0
 2006 11 175.2
 2006 12 525.0
 2007 01  926·0
 2007 02  405.8
 2007 03  395.4
 2007 04  05.2
 2007 05  505·1
 2007 06  135.6
 2007 07  95·7
 2007 08  805·5
 2007 09  465.3
 2007 10  755.3
 2007 11  885·3
 2007 12  875.6
 2008 01 56.4
 2008 02 816.2
 2008 03 656·1
 2008 04 405.6
 2008 05 786.1
 2008 06 156·7
 2008 07 527.0
 2008 08 827·1
 2008 09 406.9
 2008 10 837·1
 2008 11 897·6
 2008 12 838·3
 2009 01  919.7
 2009 02  1610.1
 2009 03  3610.3
 2009 04  379·8
 2009 05  5710.3
 2009 06  7110.9
 2009 07  8311.0
 2009 08  6310·9
 2009 09  8910.8
 2009 10  2910.8
 2009 11  4310.7
 2009 12  511.1
 2010 01 6012.0
 2010 02 9711.9
 2010 03 5211·5
 2010 04 3310.9
 2010 05 7310.6
 2010 06 811·1
 2010 07 7411·2
 2010 08 4010.9
 2010 09 5210·7
 2010 10 1710.6
 2010 11 9810·8
 2010 12 4610·7
 2011 01  4811·4
 2011 02  511.1
 2011 03  3510·6
 2011 04  9410·1
 2011 05  3610·0
 2011 06  8110·9
 2011 07  2410·9
 2011 08  5510·6
 2011 09  1610.2
 2011 10  7510·0
 2011 11  279.7
 2011 12  229.8
 2012 01 1510.5
 2012 02 4410·2
 2012 03 339·7
 2012 04 139·1
 2012 05 819·3
 2012 06 709.9
 2012 07 5410.0
 2012 08 759.7
 2012 09 919·0
 2012 10 599·0
 2012 11 298.8
 2012 12 749.2
 2013 01  469.9
 2013 02  439.6
 2013 03  199.0
 2013 04  78·5
 2013 05  708.5
 2013 06  799·3
 2013 07  149·1
 2013 08  918·7
 2013 09  138·4
 2013 10  478·3
 2013 11  257.9
 2013 12  717·9
 2014 01 528·6
 2014 02 568·4
 2014 03 928·1
 2014 04 167·2
 2014 05 877·3
 2014 06 367·5
 2014 07 767·8
 2014 08 217·5
 2014 09 427·1
 2014 10 456·8


 2014 11 666.8
 2014 12 46.7
 2015 01  697·4
 2015 02  637·1
 2015 03  746.8
 2015 04  96·4
 2015 05  436·4
 2015 06  986.6
 2015 07  386·7
 2015 08  66·3
 2015 09  646.0
 2015 10  806·0
 2015 11  225.8
 2015 12  885·9
 2016 01 586.5
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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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

Sites of Interest: hodress.com.au * The Wall Street Examiner: Be prepared. Stay ahead of the herd

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