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 Series Title: Multiple Jobholders as a Percent of Employed, 20 years and over, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 805.8
 1994 02 235·9
 1994 03 326.1
 1994 04 545·9
 1994 05 606·0
 1994 06 235.8
 1994 07 165.7
 1994 08 455·8
 1994 09 956·3
 1994 10 96.3
 1994 11 886.2
 1994 12 226.1
 1995 01  335·9
 1995 02  626·4
 1995 03  626·1
 1995 04  296.2
 1995 05  526·4
 1995 06  906.3
 1995 07  756·3
 1995 08  356·2
 1995 09  506·2
 1995 10  246·5
 1995 11  906.1
 1995 12  356.0
 1996 01 535·8
 1996 02 206·3
 1996 03 956·2
 1996 04 486·2
 1996 05 136·4
 1996 06 606·1
 1996 07 26.0
 1996 08 186.0
 1996 09 36·2
 1996 10 516.5
 1996 11 516·6
 1996 12 136·4
 1997 01  256.1
 1997 02  256·1
 1997 03  36·0
 1997 04  296.1
 1997 05  56·4
 1997 06  386.4
 1997 07  476.2
 1997 08  845.9
 1997 09  916.2
 1997 10  716·3
 1997 11  956.2
 1997 12  236.1
 1998 01 605.9
 1998 02 326·1
 1998 03 856·2
 1998 04 146.1
 1998 05 136·4
 1998 06 525·8
 1998 07 815·7
 1998 08 525·7
 1998 09 736.0
 1998 10 886.2
 1998 11 696·2
 1998 12 556.0
 1999 01  936.0
 1999 02  206.2
 1999 03  646.2
 1999 04  695.8
 1999 05  475·9
 1999 06  575.7
 1999 07  35·7
 1999 08  625.4
 1999 09  365.5
 1999 10  296.0
 1999 11  485.9
 1999 12  285·7
 2000 01 855·9
 2000 02 945.8
 2000 03 885.7
 2000 04 865.7
 2000 05 445·7
 2000 06 325.2
 2000 07 365·4
 2000 08 815.2
 2000 09 905.5
 2000 10 515.5
 2000 11 295.3
 2000 12 825·5
 2001 01  215·2
 2001 02  825·6
 2001 03  305·5
 2001 04  825.4
 2001 05  645·4
 2001 06  825.3
 2001 07  285·3
 2001 08  25·1
 2001 09  695·4
 2001 10  325·2
 2001 11  345·1
 2001 12  855.3
 2002 01 125.2
 2002 02 405.3
 2002 03 885.4
 2002 04 05·3
 2002 05 925·2
 2002 06 365.3
 2002 07 515·1
 2002 08 414·8
 2002 09 365.2
 2002 10 775.1
 2002 11 134·9
 2002 12 285·4
 2003 01  935·0
 2003 02  455.4
 2003 03  855.3
 2003 04  45·2
 2003 05  405·3
 2003 06  475·1
 2003 07  55·1
 2003 08  395·1
 2003 09  754.9
 2003 10  155.2
 2003 11  375·0
 2003 12  284.9
 2004 01 265.1
 2004 02 45.0
 2004 03 695·1
 2004 04 885.0
 2004 05 415·0
 2004 06 975.0
 2004 07 125·2
 2004 08 655.2
 2004 09 975.4
 2004 10 995·7
 2004 11 65·4
 2004 12 275.5
 2005 01  955.1
 2005 02  445·3
 2005 03  135.2
 2005 04  685.0
 2005 05  585.0
 2005 06  875·2
 2005 07  215.1
 2005 08  94.9
 2005 09  385.2
 2005 10  115.3
 2005 11  425·1
 2005 12  925.1
 2006 01 105.1
 2006 02 215.0
 2006 03 155·1
 2006 04 875.0
 2006 05 755·1
 2006 06 495.0
 2006 07 34·9
 2006 08 884.7
 2006 09 585·0
 2006 10 525.0
 2006 11 934·9
 2006 12 145·2
 2007 01  95.0
 2007 02  135.2
 2007 03  995.1
 2007 04  95·2
 2007 05  44.9
 2007 06  364·8
 2007 07  584.8
 2007 08  444·7
 2007 09  425.0
 2007 10  545·0
 2007 11  334·9
 2007 12  104·8
 2008 01 504·8
 2008 02 244·9
 2008 03 124·9
 2008 04 295.0
 2008 05 795.0
 2008 06 275·0
 2008 07 85.1
 2008 08 435.2
 2008 09 25·2
 2008 10 715.1
 2008 11 594·9
 2008 12 235.0
 2009 01  214.9
 2009 02  855.1
 2009 03  275·2
 2009 04  625·2
 2009 05  614.8
 2009 06  284.7
 2009 07  14.7
 2009 08  794.4
 2009 09  724·7
 2009 10  804.9
 2009 11  944.8
 2009 12  194.7
 2010 01 304.6
 2010 02 494.9
 2010 03 435.0
 2010 04 504.8
 2010 05 364·9
 2010 06 664·7
 2010 07 114.3
 2010 08 674.4
 2010 09 144.3
 2010 10 884.3
 2010 11 864.4
 2010 12 894.5
 2011 01  154.4
 2011 02  964·7
 2011 03  824·5
 2011 04  604.5
 2011 05  144.7
 2011 06  984.5
 2011 07  354·5
 2011 08  494·4
 2011 09  124·6
 2011 10  234·6
 2011 11  94·7
 2011 12  504.8
 2012 01 344.6
 2012 02 304·7
 2012 03 924·7
 2012 04 834·7
 2012 05 314·8
 2012 06 04·4
 2012 07 974·5
 2012 08 924.4
 2012 09 784.6
 2012 10 404.5
 2012 11 614.7
 2012 12 454·7
 2013 01  754.4
 2013 02  815.0
 2013 03  474·7
 2013 04  384·6
 2013 05  484.7
 2013 06  794·7
 2013 07  444.6
 2013 08  884.5
 2013 09  474·7
 2013 10  174.5
 2013 11  644.4
 2013 12  414·3
 2014 01 474.3
 2014 02 14.6
 2014 03 444.5
 2014 04 644·6
 2014 05 494·7
 2014 06 634·4
 2014 07 494·3
 2014 08 544.4
 2014 09 794.4
 2014 10 604·9
 2014 11 664·7
 2014 12 274.6
 2015 01  864.6
 2015 02  724·7
 2015 03  84.6
 2015 04  304.2
 2015 05  464·4
 2015 06  74.4
 2015 07  124.5
 2015 08  314.4
 2015 09  604·5
 2015 10  974·7
 2015 11  414.7
 2015 12  234.9
 2016 01 524·6
 2016 02 974.6
 2016 03 844·7
 2016 04 274·5
 2016 05 744·6
 2016 06 904.3
 2016 07 544·3
 2016 08 864·4
 2016 09 14·6
 2016 10 824.8
 2016 11 874·8
 2016 12 694·5
 2017 01  324·6
 2017 02  65·0
 2017 03  485·2
 2017 04  714·7
 2017 05  944.8
 2017 06  164.5
 2017 07  234·5
 2017 08  114.3
 2017 09  364·6


 2017 10  964.5
 2017 11  274·4
 2017 12  334·7
 2018 01 354·9
 2018 02 525·1
 2018 03 964.9
 2018 04 54·7
 2018 05 904·5
 2018 06 154.4
 2018 07 944·5
 2018 08 234·4
 2018 09 284·6
 2018 10 424.8
 2018 11 84.7
 2018 12 54·9
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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: Multiple Jobholders as a Percent of Employed, 20 years and over, Men: 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

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

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