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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 01 528.8
 1994 02 438·5
 1994 03 428.1
 1994 04 397.5
 1994 05 507·0
 1994 06 907.5
 1994 07 787.5
 1994 08 627.2
 1994 09 716·9
 1994 10 926·6
 1994 11 716.5
 1994 12 396.4
 1995 01  657·5
 1995 02  317.1
 1995 03  356·9
 1995 04  166·6
 1995 05  76.5
 1995 06  136.9
 1995 07  67·0
 1995 08  606·6
 1995 09  996·5
 1995 10  696·3
 1995 11  486.4
 1995 12  676·4
 1996 01 647·5
 1996 02 567.2
 1996 03 496.9
 1996 04 566·4
 1996 05 536.4
 1996 06 576·6
 1996 07 226·7
 1996 08 706.1
 1996 09 436.1
 1996 10 775·9
 1996 11 46.1
 1996 12 796.0
 1997 01  337.0
 1997 02  486·8
 1997 03  586·5
 1997 04  775·9
 1997 05  495·7
 1997 06  276·1
 1997 07  735.9
 1997 08  825·7
 1997 09  415.6
 1997 10  965.3
 1997 11  605.2
 1997 12  405·4
 1998 01 846.2
 1998 02 606.0
 1998 03 596·0
 1998 04 205·0
 1998 05 795·0
 1998 06 535·5
 1998 07 325·6
 1998 08 145.3
 1998 09 525·3
 1998 10 305.1
 1998 11 675·0
 1998 12 444.8
 1999 01  525·7
 1999 02  725.6
 1999 03  765.3
 1999 04  525·0
 1999 05  554.8
 1999 06  885·3
 1999 07  985·2
 1999 08  84·9
 1999 09  624·9
 1999 10  84.7
 1999 11  964.6
 1999 12  64.5
 2000 01 975·3
 2000 02 895.3
 2000 03 575.1
 2000 04 654.5
 2000 05 124.6
 2000 06 124.9
 2000 07 945·0
 2000 08 294·8
 2000 09 814.6
 2000 10 854·3
 2000 11 464.5
 2000 12 684·4
 2001 01  65.5
 2001 02  395·4
 2001 03  745·3
 2001 04  764·9
 2001 05  114.9
 2001 06  305·5
 2001 07  685.5
 2001 08  715.8
 2001 09  465·6
 2001 10  405·9
 2001 11  396.2
 2001 12  986.3
 2002 01 887.3
 2002 02 767·0
 2002 03 277·0
 2002 04 266·6
 2002 05 366.5
 2002 06 706.9
 2002 07 926·9
 2002 08 496.6
 2002 09 166·3
 2002 10 776·3
 2002 11 256·5
 2002 12 876.6
 2003 01  797·5
 2003 02  817.4
 2003 03  377.2
 2003 04  836.7
 2003 05  996.7
 2003 06  877.4
 2003 07  667.3
 2003 08  67·1
 2003 09  786.8
 2003 10  266·6
 2003 11  756.6
 2003 12  516.4
 2004 01 407.3
 2004 02 577·1
 2004 03 527·1
 2004 04 386.3
 2004 05 366.3
 2004 06 606·7
 2004 07 116·7
 2004 08 96.4
 2004 09 416.1
 2004 10 416·1
 2004 11 886.1
 2004 12 346·1
 2005 01  566.9
 2005 02  336·8
 2005 03  476·4
 2005 04  75.9
 2005 05  65·8
 2005 06  936·2
 2005 07  766.1
 2005 08  485·9
 2005 09  425.7
 2005 10  15.5
 2005 11  875·7
 2005 12  15·6
 2006 01 386.1
 2006 02 656·1
 2006 03 195·8
 2006 04 345.4
 2006 05 965·3
 2006 06 165·8
 2006 07 345·9
 2006 08 425·6
 2006 09 405·2
 2006 10 115.0
 2006 11 205.2
 2006 12 445.0
 2007 01  226·0
 2007 02  315·8
 2007 03  905·4
 2007 04  845·2
 2007 05  155·1
 2007 06  835·6
 2007 07  825·7
 2007 08  315.5
 2007 09  225.3
 2007 10  995.3
 2007 11  605·3
 2007 12  805·6
 2008 01 676·4
 2008 02 356.2
 2008 03 106.1
 2008 04 495.6
 2008 05 06.1
 2008 06 746·7
 2008 07 457.0
 2008 08 837·1
 2008 09 986·9
 2008 10 217.1
 2008 11 57.6
 2008 12 518.3
 2009 01  599·7
 2009 02  810·1
 2009 03  5010.3
 2009 04  469·8
 2009 05  1110.3
 2009 06  9210·9
 2009 07  7011.0
 2009 08  8910·9
 2009 09  310·8
 2009 10  5410.8
 2009 11  7810.7
 2009 12  2311·1
 2010 01 1012·0
 2010 02 211·9
 2010 03 1011.5
 2010 04 1810.9
 2010 05 3310.6
 2010 06 6711.1
 2010 07 3111·2
 2010 08 6710·9
 2010 09 9810.7
 2010 10 510.6
 2010 11 2710·8
 2010 12 8910·7
 2011 01  5411·4
 2011 02  9811.1
 2011 03  1210·6
 2011 04  3010.1
 2011 05  7810.0
 2011 06  5310.9
 2011 07  2410.9
 2011 08  5710.6
 2011 09  6910.2
 2011 10  110.0
 2011 11  259·7
 2011 12  669.8
 2012 01 5310·5
 2012 02 010.2
 2012 03 49·7
 2012 04 749.1
 2012 05 809.3
 2012 06 309.9
 2012 07 7410.0
 2012 08 279·7
 2012 09 269·0
 2012 10 989.0
 2012 11 718·8
 2012 12 949.2
 2013 01  919·9
 2013 02  369.6
 2013 03  609·0
 2013 04  688·5
 2013 05  08·5
 2013 06  19·3
 2013 07  279.1
 2013 08  698.7
 2013 09  48·4
 2013 10  748·3
 2013 11  877.9
 2013 12  417.9
 2014 01 798·6
 2014 02 628·4
 2014 03 778.1
 2014 04 537·2
 2014 05 247·3
 2014 06 977·5
 2014 07 597.8
 2014 08 997.5
 2014 09 657·1
 2014 10 356.8
 2014 11 216·8
 2014 12 996·7
 2015 01  527·4
 2015 02  577·1
 2015 03  786·8
 2015 04  966·4
 2015 05  626·4
 2015 06  716.6
 2015 07  656·7
 2015 08  596.3
 2015 09  936·0
 2015 10  86·0
 2015 11  475·8
 2015 12  845·9


 2016 01 736.5
 2016 02 256·3
 2016 03 116·1
 2016 04 885·7
 2016 05 505·6
 2016 06 36·1
 2016 07 706.3
 2016 08 176·0
 2016 09 05.9
 2016 10 495.7
 2016 11 625.6
 2016 12 385·5
 2017 01  246·2
 2017 02  956·0
 2017 03  505·5
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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

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