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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 01 705·8
 1994 02 235·9
 1994 03 296·1
 1994 04 135.9
 1994 05 286·0
 1994 06 285.8
 1994 07 695·7
 1994 08 365.8
 1994 09 966·3
 1994 10 746.3
 1994 11 536·2
 1994 12 16·1
 1995 01  255·9
 1995 02  456.4
 1995 03  956.1
 1995 04  536·2
 1995 05  906·4
 1995 06  466.3
 1995 07  336·3
 1995 08  616·2
 1995 09  916.2
 1995 10  96·5
 1995 11  296.1
 1995 12  196.0
 1996 01 545·8
 1996 02 916.3
 1996 03 716.2
 1996 04 456·2
 1996 05 296·4
 1996 06 736·1
 1996 07 726·0
 1996 08 856.0
 1996 09 916.2
 1996 10 626·5
 1996 11 706·6
 1996 12 76.4
 1997 01  416.1
 1997 02  906·1
 1997 03  286·0
 1997 04  56·1
 1997 05  46·4
 1997 06  146·4
 1997 07  346.2
 1997 08  995.9
 1997 09  316.2
 1997 10  146.3
 1997 11  16·2
 1997 12  336.1
 1998 01 965.9
 1998 02 986.1
 1998 03 666·2
 1998 04 756.1
 1998 05 26·4
 1998 06 975.8
 1998 07 925.7
 1998 08 205.7
 1998 09 726·0
 1998 10 696·2
 1998 11 686·2
 1998 12 886.0
 1999 01  576·0
 1999 02  936.2
 1999 03  66.2
 1999 04  215·8
 1999 05  325·9
 1999 06  785.7
 1999 07  455.7
 1999 08  905·4
 1999 09  995.5
 1999 10  556.0
 1999 11  465.9
 1999 12  895.7
 2000 01 825·9
 2000 02 805.8
 2000 03 985.7
 2000 04 365.7
 2000 05 325·7
 2000 06 355·2
 2000 07 145.4
 2000 08 765.2
 2000 09 235.5
 2000 10 285.5
 2000 11 325·3
 2000 12 785·5
 2001 01  585.2
 2001 02  885.6
 2001 03  145.5
 2001 04  365.4
 2001 05  605.4
 2001 06  735·3
 2001 07  495.3
 2001 08  705·1
 2001 09  815·4
 2001 10  665·2
 2001 11  495·1
 2001 12  225.3
 2002 01 955·2
 2002 02 715.3
 2002 03 535·4
 2002 04 635·3
 2002 05 35·2
 2002 06 215.3
 2002 07 225.1
 2002 08 874.8
 2002 09 315.2
 2002 10 735·1
 2002 11 464.9
 2002 12 135·4
 2003 01  285.0
 2003 02  95·4
 2003 03  365.3
 2003 04  845.2
 2003 05  715·3
 2003 06  345.1
 2003 07  315.1
 2003 08  715.1
 2003 09  604.9
 2003 10  805·2
 2003 11  945.0
 2003 12  674.9
 2004 01 195·1
 2004 02 55.0
 2004 03 135.1
 2004 04 915·0
 2004 05 05.0
 2004 06 905·0
 2004 07 05.2
 2004 08 885.2
 2004 09 785·4
 2004 10 415.7
 2004 11 945.4
 2004 12 265.5
 2005 01  535.1
 2005 02  905.3
 2005 03  565.2
 2005 04  05.0
 2005 05  505.0
 2005 06  945.2
 2005 07  765.1
 2005 08  294·9
 2005 09  215.2
 2005 10  345.3
 2005 11  665·1
 2005 12  575.1
 2006 01 405·1
 2006 02 175.0
 2006 03 645.1
 2006 04 535·0
 2006 05 75.1
 2006 06 755·0
 2006 07 334·9
 2006 08 124·7
 2006 09 495·0
 2006 10 645·0
 2006 11 604·9
 2006 12 525.2
 2007 01  155.0
 2007 02  665·2
 2007 03  595·1
 2007 04  175.2
 2007 05  824.9
 2007 06  884·8
 2007 07  684.8
 2007 08  784·7
 2007 09  485.0
 2007 10  605.0
 2007 11  494.9
 2007 12  274.8
 2008 01 404·8
 2008 02 414·9
 2008 03 904.9
 2008 04 845·0
 2008 05 95·0
 2008 06 115.0
 2008 07 45·1
 2008 08 945·2
 2008 09 295·2
 2008 10 775·1
 2008 11 304·9
 2008 12 255·0
 2009 01  14.9
 2009 02  715·1
 2009 03  295·2
 2009 04  715·2
 2009 05  504.8
 2009 06  504.7
 2009 07  904.7
 2009 08  524·4
 2009 09  264.7
 2009 10  944·9
 2009 11  274.8
 2009 12  124·7
 2010 01 64·6
 2010 02 114·9
 2010 03 755.0
 2010 04 194.8
 2010 05 894.9
 2010 06 334·7
 2010 07 994·3
 2010 08 694.4
 2010 09 14.3
 2010 10 154·3
 2010 11 874·4
 2010 12 794·5
 2011 01  934.4
 2011 02  404.7
 2011 03  514·5
 2011 04  954.5
 2011 05  394·7
 2011 06  144·5
 2011 07  294.5
 2011 08  864.4
 2011 09  394.6
 2011 10  704·6
 2011 11  844.7
 2011 12  454·8
 2012 01 214.6
 2012 02 624·7
 2012 03 44.7
 2012 04 924.7
 2012 05 334·8
 2012 06 744.4
 2012 07 24·5
 2012 08 704.4
 2012 09 514·6
 2012 10 124.5
 2012 11 164·7
 2012 12 504.7
 2013 01  764.4
 2013 02  75.0
 2013 03  84·7
 2013 04  254·6
 2013 05  334·7
 2013 06  164·7
 2013 07  674·6
 2013 08  144·5
 2013 09  724.7
 2013 10  214·5
 2013 11  54.4
 2013 12  614.3
 2014 01 694·3
 2014 02 284.6
 2014 03 614·5
 2014 04 364·6
 2014 05 244·7
 2014 06 704·4
 2014 07 974.3
 2014 08 334.4
 2014 09 634.4
 2014 10 24.9
 2014 11 14.7
 2014 12 714·6
 2015 01  354·6
 2015 02  64·7
 2015 03  864.6
 2015 04  944·2
 2015 05  174.4
 2015 06  894.4
 2015 07  904.5
 2015 08  704·4
 2015 09  94.5
 2015 10  834·7
 2015 11  754·7
 2015 12  954·9
 2016 01 354·6
 2016 02 444·6
 2016 03 304·7
 2016 04 884·5
 2016 05 474.6
 2016 06 544·3
 2016 07 684.3
 2016 08 924.4
 2016 09 204·6
 2016 10 204.8
 2016 11 264·8
 2016 12 764·5
 2017 01  554.6
 2017 02  725·0
 2017 03  685.2
 2017 04  364·7
 2017 05  754.8
 2017 06  684.5


 2017 07  814·5
 2017 08  904.3
 2017 09  334.6
 2017 10  904.5
 2017 11  784.4
 2017 12  814·7
 2018 01 44.9
 2018 02 445·1
 2018 03 974.9
 2018 04 804.7
 2018 05 874·5
 2018 06 614·4
 2018 07 04·5
 2018 08 804·4
 2018 09 84·6
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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: 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
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