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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 2011.8
 1994 02 8211.4
 1994 03 411.4
 1994 04 6511·2
 1994 05 6510·8
 1994 06 1010.9
 1994 07 610·7
 1994 08 8710.5
 1994 09 7110·4
 1994 10 3110.3
 1994 11 210.1
 1994 12 210.0
 1995 01  8610·2
 1995 02  269·9
 1995 03  69·9
 1995 04  5310.0
 1995 05  8810·0
 1995 06  110·1
 1995 07  5510·1
 1995 08  1010·0
 1995 09  7510.1
 1995 10  889.9
 1995 11  1310.0
 1995 12  6710·0
 1996 01 759·8
 1996 02 4410.0
 1996 03 669.8
 1996 04 429.9
 1996 05 369·7
 1996 06 519·6
 1996 07 299·7
 1996 08 819·3
 1996 09 359.4
 1996 10 149·4
 1996 11 399·3
 1996 12 529·5
 1997 01  729.4
 1997 02  679·4
 1997 03  599.1
 1997 04  509·2
 1997 05  728·8
 1997 06  648·8
 1997 07  778·6
 1997 08  938·6
 1997 09  858.7
 1997 10  898.4
 1997 11  58·3
 1997 12  268.4
 1998 01 888.4
 1998 02 478·4
 1998 03 828·4
 1998 04 177.9
 1998 05 807.9
 1998 06 718.0
 1998 07 708·1
 1998 08 627.9
 1998 09 867·9
 1998 10 167.8
 1998 11 587.6
 1998 12 797.6
 1999 01  587.7
 1999 02  657·7
 1999 03  587.6
 1999 04  117·6
 1999 05  717·4
 1999 06  247.5
 1999 07  87·5
 1999 08  307·3
 1999 09  247·4
 1999 10  257·2
 1999 11  717·1
 1999 12  277·1
 2000 01 447·1
 2000 02 247·2
 2000 03 347.1
 2000 04 246.9
 2000 05 807.1
 2000 06 47·0
 2000 07 127·0
 2000 08 637.1
 2000 09 97·0
 2000 10 706·8
 2000 11 427.1
 2000 12 146.9
 2001 01  307.3
 2001 02  557·4
 2001 03  867.3
 2001 04  727·4
 2001 05  697·5
 2001 06  157.9
 2001 07  327.8
 2001 08  548.1
 2001 09  768.7
 2001 10  319.3
 2001 11  949.4
 2001 12  69.6
 2002 01 279.5
 2002 02 119·5
 2002 03 99.4
 2002 04 969·7
 2002 05 229·5
 2002 06 859.5
 2002 07 409.6
 2002 08 199·6
 2002 09 869.6
 2002 10 119.6
 2002 11 769.7
 2002 12 949·8
 2003 01  7010.0
 2003 02  7110·2
 2003 03  2810·0
 2003 04  6510·2
 2003 05  5010·1
 2003 06  7010.3
 2003 07  3510·3
 2003 08  110·1
 2003 09  2510.4
 2003 10  4110.2
 2003 11  6010·0
 2003 12  969·8
 2004 01 219.9
 2004 02 409·7
 2004 03 9010·0
 2004 04 699.6
 2004 05 899.6
 2004 06 499·5
 2004 07 399·5
 2004 08 659·4
 2004 09 49·4
 2004 10 749.7
 2004 11 449.4
 2004 12 539·2
 2005 01  659.3
 2005 02  479·3
 2005 03  689·1
 2005 04  268·9
 2005 05  998·9
 2005 06  259.0
 2005 07  08.8
 2005 08  48·9
 2005 09  579.0
 2005 10  908·7
 2005 11  528·7
 2005 12  318.6
 2006 01 128·4
 2006 02 478·4
 2006 03 618.2
 2006 04 778·1
 2006 05 678.2
 2006 06 298.4
 2006 07 928.5
 2006 08 358.4
 2006 09 458·0
 2006 10 938.2
 2006 11 318.1
 2006 12 247.9
 2007 01  988·4
 2007 02  198.2
 2007 03  928·0
 2007 04  898.2
 2007 05  18.2
 2007 06  158·3
 2007 07  128·4
 2007 08  988·4
 2007 09  548·4
 2007 10  128·4
 2007 11  548.4
 2007 12  478·8
 2008 01 839·2
 2008 02 669.0
 2008 03 79.1
 2008 04 539·2
 2008 05 389.7
 2008 06 6110·1
 2008 07 8410.5
 2008 08 6210·8
 2008 09 9511.0
 2008 10 111.8
 2008 11 2112.6
 2008 12 4213.6
 2009 01  5414·2
 2009 02  1915·2
 2009 03  8215·8
 2009 04  8815·9
 2009 05  3916·5
 2009 06  7216.5
 2009 07  5516.4
 2009 08  1816.7
 2009 09  316·7
 2009 10  4117.1
 2009 11  5317·1
 2009 12  7717·1
 2010 01 1916.7
 2010 02 3217.0
 2010 03 1317·1
 2010 04 3317·1
 2010 05 8916·6
 2010 06 7816·4
 2010 07 9916·4
 2010 08 8216.5
 2010 09 3816·8
 2010 10 3416·6
 2010 11 9816·9
 2010 12 4216·6
 2011 01  1616.2
 2011 02  8416·0
 2011 03  2415.9
 2011 04  5716·1
 2011 05  9915.8
 2011 06  3216·1
 2011 07  1415·9
 2011 08  9716.1
 2011 09  8616.4
 2011 10  1115.8
 2011 11  3015·5
 2011 12  5515.2
 2012 01 415·2
 2012 02 7815.0
 2012 03 6214.5
 2012 04 5114·6
 2012 05 314.7
 2012 06 1414.8
 2012 07 2214·8
 2012 08 2914.6
 2012 09 5814·8
 2012 10 2614·4
 2012 11 4714·4
 2012 12 5814.4
 2013 01  7014.6
 2013 02  4614.4
 2013 03  113.8
 2013 04  3214·0
 2013 05  6313.8
 2013 06  2914·2
 2013 07  7213·8
 2013 08  7013.6
 2013 09  8913.5
 2013 10  5813.6
 2013 11  7213.1
 2013 12  1713.1
 2014 01 2312.7
 2014 02 4012·7
 2014 03 3912·7
 2014 04 4112·3
 2014 05 6512·1
 2014 06 512·0
 2014 07 3712·1
 2014 08 3711·9
 2014 09 4011.7
 2014 10 1211.5
 2014 11 5311·4
 2014 12 2411·2
 2015 01  9911·3
 2015 02  4011·0
 2015 03  9910.9
 2015 04  4610.9
 2015 05  1810.8
 2015 06  9810.4
 2015 07  1510.3
 2015 08  7210.2
 2015 09  9610·0
 2015 10  169.8
 2015 11  629.9
 2015 12  969.9
 2016 01 599·9
 2016 02 519.7
 2016 03 299.8
 2016 04 389.8
 2016 05 589.8
 2016 06 859·5
 2016 07 299·7
 2016 08 419.6
 2016 09 689.7
 2016 10 259.6


 2016 11 999·3
 2016 12 759.1
 2017 01  899·4
 2017 02  19·2
 2017 03  28·8
 2017 04  348·6
 2017 05  468·4
 2017 06  728.5
 2017 07  268·5
 2017 08  378.6
 2017 09  918·3
 2017 10  188·0
 2017 11  858.0
 2017 12  278·1
 2018 01 988·2
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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

Subscribers can access data in Excel spreadsheet, and Copy & Paste formats.

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