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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 01 238·8
 1994 02 808.5
 1994 03 128·1
 1994 04 177·5
 1994 05 157.0
 1994 06 297·5
 1994 07 837·5
 1994 08 327·2
 1994 09 126.9
 1994 10 146.6
 1994 11 926.5
 1994 12 836.4
 1995 01  627.5
 1995 02  177.1
 1995 03  536.9
 1995 04  146·6
 1995 05  426·5
 1995 06  446.9
 1995 07  27.0
 1995 08  956.6
 1995 09  526·5
 1995 10  276.3
 1995 11  46·4
 1995 12  196·4
 1996 01 177.5
 1996 02 227·2
 1996 03 456.9
 1996 04 66.4
 1996 05 886.4
 1996 06 126.6
 1996 07 406·7
 1996 08 06.1
 1996 09 406·1
 1996 10 25.9
 1996 11 256.1
 1996 12 706.0
 1997 01  747.0
 1997 02  256·8
 1997 03  646·5
 1997 04  105·9
 1997 05  155.7
 1997 06  376·1
 1997 07  445.9
 1997 08  395·7
 1997 09  135.6
 1997 10  205·3
 1997 11  795.2
 1997 12  25·4
 1998 01 446·2
 1998 02 806.0
 1998 03 66.0
 1998 04 675·0
 1998 05 85.0
 1998 06 495.5
 1998 07 885·6
 1998 08 295·3
 1998 09 315.3
 1998 10 845·1
 1998 11 145.0
 1998 12 74.8
 1999 01  625.7
 1999 02  665·6
 1999 03  955.3
 1999 04  455.0
 1999 05  784.8
 1999 06  25·3
 1999 07  715·2
 1999 08  124.9
 1999 09  794·9
 1999 10  234·7
 1999 11  34.6
 1999 12  24.5
 2000 01 895·3
 2000 02 875.3
 2000 03 795.1
 2000 04 354·5
 2000 05 604·6
 2000 06 754.9
 2000 07 145·0
 2000 08 544.8
 2000 09 674·6
 2000 10 934·3
 2000 11 434.5
 2000 12 294.4
 2001 01  105·5
 2001 02  735·4
 2001 03  325.3
 2001 04  544·9
 2001 05  154.9
 2001 06  725·5
 2001 07  665·5
 2001 08  485·8
 2001 09  325.6
 2001 10  725·9
 2001 11  596·2
 2001 12  556·3
 2002 01 377.3
 2002 02 787·0
 2002 03 507·0
 2002 04 446.6
 2002 05 296·5
 2002 06 236.9
 2002 07 06.9
 2002 08 96·6
 2002 09 346·3
 2002 10 646·3
 2002 11 986.5
 2002 12 706.6
 2003 01  37.5
 2003 02  827·4
 2003 03  577·2
 2003 04  716.7
 2003 05  116·7
 2003 06  837.4
 2003 07  147.3
 2003 08  817.1
 2003 09  586.8
 2003 10  996·6
 2003 11  336.6
 2003 12  936.4
 2004 01 717·3
 2004 02 887.1
 2004 03 17.1
 2004 04 286.3
 2004 05 986.3
 2004 06 296.7
 2004 07 316·7
 2004 08 296.4
 2004 09 166.1
 2004 10 326·1
 2004 11 626·1
 2004 12 656.1
 2005 01  256.9
 2005 02  256·8
 2005 03  556·4
 2005 04  315·9
 2005 05  505·8
 2005 06  686.2
 2005 07  06·1
 2005 08  455.9
 2005 09  425·7
 2005 10  405.5
 2005 11  85.7
 2005 12  525.6
 2006 01 766·1
 2006 02 506·1
 2006 03 185·8
 2006 04 215·4
 2006 05 525·3
 2006 06 275·8
 2006 07 925·9
 2006 08 475.6
 2006 09 965·2
 2006 10 305.0
 2006 11 195.2
 2006 12 475·0
 2007 01  596.0
 2007 02  395·8
 2007 03  115.4
 2007 04  675.2
 2007 05  165·1
 2007 06  625·6
 2007 07  75.7
 2007 08  755.5
 2007 09  665·3
 2007 10  295·3
 2007 11  695·3
 2007 12  665.6
 2008 01 366·4
 2008 02 996·2
 2008 03 846·1
 2008 04 595·6
 2008 05 766.1
 2008 06 516.7
 2008 07 677.0
 2008 08 987.1
 2008 09 616.9
 2008 10 937.1
 2008 11 557·6
 2008 12 528.3
 2009 01  919·7
 2009 02  5710.1
 2009 03  1010·3
 2009 04  159.8
 2009 05  9310.3
 2009 06  9910·9
 2009 07  2111.0
 2009 08  610·9
 2009 09  1610·8
 2009 10  110·8
 2009 11  010·7
 2009 12  7011.1
 2010 01 3612·0
 2010 02 6911·9
 2010 03 8511·5
 2010 04 7510·9
 2010 05 5310.6
 2010 06 3511.1
 2010 07 4011.2
 2010 08 1710·9
 2010 09 9310.7
 2010 10 5610·6
 2010 11 5210·8
 2010 12 1310·7
 2011 01  611·4
 2011 02  1411.1
 2011 03  3510.6
 2011 04  810.1
 2011 05  6710.0
 2011 06  1410.9
 2011 07  2510.9
 2011 08  7110·6
 2011 09  7710·2
 2011 10  8910.0
 2011 11  869.7
 2011 12  979·8
 2012 01 6110·5
 2012 02 9510.2
 2012 03 59·7
 2012 04 49·1
 2012 05 699.3
 2012 06 159.9
 2012 07 9610.0
 2012 08 379.7
 2012 09 779.0
 2012 10 539.0
 2012 11 978·8
 2012 12 659·2
 2013 01  869.9
 2013 02  439.6
 2013 03  709·0
 2013 04  818.5
 2013 05  218.5
 2013 06  419.3
 2013 07  49.1
 2013 08  68.7
 2013 09  318.4
 2013 10  288·3
 2013 11  107.9
 2013 12  827.9
 2014 01 938·6
 2014 02 128·4
 2014 03 288·1
 2014 04 807.2
 2014 05 77·3
 2014 06 237.5
 2014 07 207·8
 2014 08 947·5
 2014 09 997.1
 2014 10 196.8
 2014 11 736·8
 2014 12 426·7
 2015 01  177.4
 2015 02  807.1
 2015 03  16.8
 2015 04  696·4
 2015 05  396·4
 2015 06  146.6
 2015 07  426·7
 2015 08  446.3


 2015 09  656.0
 2015 10  536.0
 2015 11  585.8
 2015 12  605·9
 2016 01 196·5
 2016 02 536.3
 2016 03 386·1
 2016 04 385.7
 2016 05 535·6
 2016 06 956.1
 2016 07 946.3
 2016 08 216·0
 2016 09 415.9
 2016 10 865·7
 2016 11 655.6
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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: 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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