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 Series Title: Multiple Jobholders as a Percent of Employed, White 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 45.7
 1994 02 615·8
 1994 03 116·1
 1994 04 586·0
 1994 05 276·1
 1994 06 495.9
 1994 07 545.8
 1994 08 26.0
 1994 09 366·4
 1994 10 556·3
 1994 11 166.2
 1994 12 646·1
 1995 01  806·0
 1995 02  596·3
 1995 03  116·0
 1995 04  886·2
 1995 05  356.4
 1995 06  696.5
 1995 07  766.5
 1995 08  426.2
 1995 09  16.4
 1995 10  166·5
 1995 11  756.2
 1995 12  216.0
 1996 01 45.8
 1996 02 576.3
 1996 03 946·3
 1996 04 446·2
 1996 05 946.5
 1996 06 736·2
 1996 07 486·1
 1996 08 556.0
 1996 09 476.2
 1996 10 716·5
 1996 11 746.7
 1996 12 246.4
 1997 01  626.1
 1997 02  836.1
 1997 03  356·0
 1997 04  436.1
 1997 05  656.4
 1997 06  666.5
 1997 07  196·3
 1997 08  345.8
 1997 09  76.2
 1997 10  06.2
 1997 11  386·2
 1997 12  396.1
 1998 01 635.8
 1998 02 936.1
 1998 03 316.1
 1998 04 286·0
 1998 05 346·3
 1998 06 765.8
 1998 07 605.8
 1998 08 945·7
 1998 09 446.0
 1998 10 76.1
 1998 11 146·1
 1998 12 585·9
 1999 01  445·9
 1999 02  656.1
 1999 03  56.0
 1999 04  635.6
 1999 05  105·8
 1999 06  595.8
 1999 07  715.8
 1999 08  795·4
 1999 09  425.4
 1999 10  205·9
 1999 11  755·7
 1999 12  995.6
 2000 01 655.7
 2000 02 45·7
 2000 03 55·7
 2000 04 435.7
 2000 05 305.8
 2000 06 935.4
 2000 07 745·5
 2000 08 545·2
 2000 09 125.4
 2000 10 945·5
 2000 11 195·2
 2000 12 35.5
 2001 01  125·2
 2001 02  395.6
 2001 03  45.5
 2001 04  825·3
 2001 05  545.4
 2001 06  835.2
 2001 07  175·4
 2001 08  125.2
 2001 09  905.4
 2001 10  95.2
 2001 11  695.1
 2001 12  365·3
 2002 01 945·2
 2002 02 245.2
 2002 03 05.5
 2002 04 245.3
 2002 05 685.2
 2002 06 585·3
 2002 07 735·2
 2002 08 694·9
 2002 09 365·3
 2002 10 695·2
 2002 11 744·9
 2002 12 915.5
 2003 01  495.0
 2003 02  385.3
 2003 03  175.3
 2003 04  345·2
 2003 05  825.3
 2003 06  725.3
 2003 07  405.2
 2003 08  675·1
 2003 09  364.9
 2003 10  35.1
 2003 11  65.1
 2003 12  855.0
 2004 01 355.1
 2004 02 875.1
 2004 03 25.0
 2004 04 55·0
 2004 05 314·9
 2004 06 55.0
 2004 07 425.2
 2004 08 735·3
 2004 09 995·5
 2004 10 655·6
 2004 11 635·3
 2004 12 585.4
 2005 01  404.9
 2005 02  995·3
 2005 03  295·2
 2005 04  545·1
 2005 05  775·0
 2005 06  615.3
 2005 07  265.1
 2005 08  795.0
 2005 09  635·2
 2005 10  355·3
 2005 11  695.0
 2005 12  795·0
 2006 01 725.0
 2006 02 284·8
 2006 03 955·0
 2006 04 214·9
 2006 05 54.9
 2006 06 695·0
 2006 07 664.8
 2006 08 14·6
 2006 09 875.0
 2006 10 175·1
 2006 11 714.9
 2006 12 385.1
 2007 01  694.9
 2007 02  535.2
 2007 03  235.1
 2007 04  755·2
 2007 05  255·0
 2007 06  844.8
 2007 07  594.9
 2007 08  824·8
 2007 09  575.0
 2007 10  415.1
 2007 11  435.0
 2007 12  534·9
 2008 01 894·8
 2008 02 804.8
 2008 03 624·8
 2008 04 75.0
 2008 05 735·0
 2008 06 845.1
 2008 07 295·1
 2008 08 885.2
 2008 09 835.3
 2008 10 605.3
 2008 11 825·0
 2008 12 655.1
 2009 01  204·9
 2009 02  385·1
 2009 03  855·2
 2009 04  335·2
 2009 05  94·8
 2009 06  754.7
 2009 07  244.8
 2009 08  104·4
 2009 09  14·8
 2009 10  535·1
 2009 11  124.9
 2009 12  414·8
 2010 01 714·7
 2010 02 805.0
 2010 03 895·0
 2010 04 954.8
 2010 05 204.9
 2010 06 854.8
 2010 07 164.4
 2010 08 664·5
 2010 09 724.4
 2010 10 264·5
 2010 11 814·5
 2010 12 734.5
 2011 01  794·5
 2011 02  854·7
 2011 03  984·5
 2011 04  614·6
 2011 05  154.8
 2011 06  694.8
 2011 07  34·6
 2011 08  984.5
 2011 09  814·6
 2011 10  84.7
 2011 11  614·7
 2011 12  784.8
 2012 01 34.8
 2012 02 604·7
 2012 03 594.8
 2012 04 224·7
 2012 05 304·8
 2012 06 54.4
 2012 07 104.6
 2012 08 724.5
 2012 09 384.6
 2012 10 524·6
 2012 11 514·7
 2012 12 984·6
 2013 01  294·4
 2013 02  315.0
 2013 03  464.8
 2013 04  944·7
 2013 05  264.8
 2013 06  994·8
 2013 07  834·6
 2013 08  804.5
 2013 09  804.8
 2013 10  384·5
 2013 11  744.5
 2013 12  994·4
 2014 01 674·3
 2014 02 554·6
 2014 03 574·4
 2014 04 204·5
 2014 05 884.7
 2014 06 804·5
 2014 07 964.6
 2014 08 394·4
 2014 09 664·6
 2014 10 714.8
 2014 11 784·7
 2014 12 734·5
 2015 01  544.8
 2015 02  94·8
 2015 03  154.7
 2015 04  674·2
 2015 05  264.3
 2015 06  14·3
 2015 07  474.6
 2015 08  904.4
 2015 09  834·5
 2015 10  794·8
 2015 11  354.7
 2015 12  374.8
 2016 01 504·5
 2016 02 994.6
 2016 03 684.7
 2016 04 254·6
 2016 05 774.6
 2016 06 434·3
 2016 07 594.3
 2016 08 14·3
 2016 09 404.5
 2016 10 184·8
 2016 11 454.6
 2016 12 324·4
 2017 01  404.6
 2017 02  544·9
 2017 03  894.9
 2017 04  134.6


 2017 05  14.7
 2017 06  94·6
 2017 07  804·5
 2017 08  634·4
 2017 09  744.7
 2017 10  654.5
 2017 11  294.4
 2017 12  264·6
 2018 01 354.8
 2018 02 285.0
 2018 03 764.9
 2018 04 724.6
 2018 05 834.4
 2018 06 294·4
 2018 07 824·4
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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, White 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

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