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 Series Title: Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons, as a percent of all 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 3411·8
 1994 02 5011·4
 1994 03 8611·4
 1994 04 7011·2
 1994 05 5310.8
 1994 06 9010·9
 1994 07 3710.7
 1994 08 7910·5
 1994 09 8310.4
 1994 10 7310.3
 1994 11 3210.1
 1994 12 3010.0
 1995 01  7310.2
 1995 02  799·9
 1995 03  869.9
 1995 04  6810·0
 1995 05  9810·0
 1995 06  1610.1
 1995 07  3410·1
 1995 08  6210·0
 1995 09  6010.1
 1995 10  159.9
 1995 11  4110·0
 1995 12  610.0
 1996 01 849.8
 1996 02 3310.0
 1996 03 949.8
 1996 04 189·9
 1996 05 209.7
 1996 06 519.6
 1996 07 69.7
 1996 08 449.3
 1996 09 439.4
 1996 10 779.4
 1996 11 159.3
 1996 12 529.5
 1997 01  549·4
 1997 02  419·4
 1997 03  849·1
 1997 04  369.2
 1997 05  788·8
 1997 06  08.8
 1997 07  18·6
 1997 08  168.6
 1997 09  658.7
 1997 10  368·4
 1997 11  788.3
 1997 12  358.4
 1998 01 928·4
 1998 02 568·4
 1998 03 548·4
 1998 04 637·9
 1998 05 587.9
 1998 06 918·0
 1998 07 928.1
 1998 08 957.9
 1998 09 897.9
 1998 10 987.8
 1998 11 797.6
 1998 12 487.6
 1999 01  357·7
 1999 02  597.7
 1999 03  287·6
 1999 04  687.6
 1999 05  727·4
 1999 06  807·5
 1999 07  777·5
 1999 08  237.3
 1999 09  997·4
 1999 10  937.2
 1999 11  897·1
 1999 12  77·1
 2000 01 437.1
 2000 02 547.2
 2000 03 537.1
 2000 04 406·9
 2000 05 547·1
 2000 06 457.0
 2000 07 807·0
 2000 08 667.1
 2000 09 77.0
 2000 10 736.8
 2000 11 87·1
 2000 12 546.9
 2001 01  27·3
 2001 02  697.4
 2001 03  17.3
 2001 04  987·4
 2001 05  657·5
 2001 06  917.9
 2001 07  477·8
 2001 08  178.1
 2001 09  478.7
 2001 10  199.3
 2001 11  589·4
 2001 12  569·6
 2002 01 229·5
 2002 02 609.5
 2002 03 729·4
 2002 04 839·7
 2002 05 919·5
 2002 06 479·5
 2002 07 539·6
 2002 08 939.6
 2002 09 809·6
 2002 10 349·6
 2002 11 879.7
 2002 12 49·8
 2003 01  3810·0
 2003 02  610·2
 2003 03  8910.0
 2003 04  6210.2
 2003 05  4210·1
 2003 06  6710.3
 2003 07  9510·3
 2003 08  3410.1
 2003 09  9110.4
 2003 10  4910.2
 2003 11  6910·0
 2003 12  169.8
 2004 01 129·9
 2004 02 109·7
 2004 03 9910.0
 2004 04 269·6
 2004 05 549.6
 2004 06 309.5
 2004 07 979·5
 2004 08 99.4
 2004 09 929.4
 2004 10 179·7
 2004 11 19·4
 2004 12 339.2
 2005 01  289.3
 2005 02  29·3
 2005 03  759·1
 2005 04  938.9
 2005 05  878·9
 2005 06  429·0
 2005 07  68·8
 2005 08  88.9
 2005 09  189.0
 2005 10  188.7
 2005 11  68·7
 2005 12  228·6
 2006 01 988·4
 2006 02 378·4
 2006 03 158.2
 2006 04 48.1
 2006 05 268·2
 2006 06 318.4
 2006 07 958·5
 2006 08 498.4
 2006 09 298·0
 2006 10 568·2
 2006 11 338.1
 2006 12 757·9
 2007 01  568.4
 2007 02  948·2
 2007 03  438·0
 2007 04  268·2
 2007 05  848.2
 2007 06  528·3
 2007 07  638.4
 2007 08  728.4
 2007 09  118.4
 2007 10  608·4
 2007 11  558.4
 2007 12  88·8
 2008 01 649.2
 2008 02 779.0
 2008 03 79·1
 2008 04 519.2
 2008 05 949·7
 2008 06 8310·1
 2008 07 3210·5
 2008 08 4610·8
 2008 09 7511·0
 2008 10 8511·8
 2008 11 6912·6
 2008 12 6313.6
 2009 01  714.2
 2009 02  1515.2
 2009 03  7915.8
 2009 04  9515·9
 2009 05  1716.5
 2009 06  2916.5
 2009 07  5116·4
 2009 08  6216·7
 2009 09  5516·7
 2009 10  1017.1
 2009 11  9817.1
 2009 12  817·1
 2010 01 9616·7
 2010 02 6317.0
 2010 03 5817·1
 2010 04 117·1
 2010 05 4016·6
 2010 06 2016.4
 2010 07 9316.4
 2010 08 3716.5
 2010 09 1316.8
 2010 10 3916·6
 2010 11 9116·9
 2010 12 3316·6
 2011 01  6516·2
 2011 02  016·0
 2011 03  6615.9
 2011 04  3516.1
 2011 05  7215.8
 2011 06  1016.1
 2011 07  5515·9
 2011 08  1216.1
 2011 09  3416.4
 2011 10  115.8
 2011 11  2115·5
 2011 12  5715.2
 2012 01 7615.2
 2012 02 3015.0
 2012 03 5214.5
 2012 04 8914·6
 2012 05 4914·7
 2012 06 7714.8
 2012 07 6114.8
 2012 08 5414·6
 2012 09 2814.8
 2012 10 5114·4
 2012 11 8614.4
 2012 12 2014·4
 2013 01  1414·6
 2013 02  8214.4
 2013 03  8913.8
 2013 04  8014.0
 2013 05  3213.8
 2013 06  2714.2
 2013 07  5913.8
 2013 08  5513.6
 2013 09  3213.5
 2013 10  6813·6
 2013 11  813·1
 2013 12  8913·1
 2014 01 9012·7
 2014 02 1112.7
 2014 03 7512·7
 2014 04 5012.3
 2014 05 612.1
 2014 06 8912.0
 2014 07 2212.1
 2014 08 3311·9
 2014 09 511·7
 2014 10 5711·5
 2014 11 3611·4
 2014 12 5611.2
 2015 01  3911.3
 2015 02  9711.0
 2015 03  3210·9
 2015 04  6510.9
 2015 05  8210.8
 2015 06  1610.4
 2015 07  4710.3
 2015 08  2710·2
 2015 09  3410.0
 2015 10  469·8
 2015 11  449.9
 2015 12  389.9
 2016 01 229.9
 2016 02 439·7
 2016 03 109·8
 2016 04 179·8
 2016 05 959·8
 2016 06 899.5
 2016 07 599.7
 2016 08 79.6
 2016 09 299·7
 2016 10 909.6
 2016 11 289.3
 2016 12 779·1
 2017 01  249.4
 2017 02  789.2
 2017 03  808.8
 2017 04  238·6
 2017 05  68·4
 2017 06  118.5
 2017 07  48·5
 2017 08  628.6


 2017 09  248·3
 2017 10  688.0
 2017 11  128·0
 2017 12  408·1
 2018 01 568·2
 2018 02 588·2
 2018 03 428.0
 2018 04 257·8
 2018 05 07.6
 2018 06 117.8
 2018 07 567·5
 2018 08 117·4
 2018 09 827·5
 2018 10 857.4
 2018 11 447·6
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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 all marginally attached workers plus total employed part time for economic reasons, as a percent of all 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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