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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 01 715·7
 1994 02 505.8
 1994 03 866·1
 1994 04 766·0
 1994 05 406.1
 1994 06 15·9
 1994 07 835·8
 1994 08 426.0
 1994 09 126.4
 1994 10 876·3
 1994 11 196.2
 1994 12 456·1
 1995 01  396.0
 1995 02  926.3
 1995 03  66·0
 1995 04  276.2
 1995 05  966.4
 1995 06  206.5
 1995 07  826.5
 1995 08  606·2
 1995 09  826.4
 1995 10  56·5
 1995 11  106.2
 1995 12  356·0
 1996 01 245·8
 1996 02 26·3
 1996 03 786.3
 1996 04 746.2
 1996 05 726·5
 1996 06 936·2
 1996 07 996.1
 1996 08 196·0
 1996 09 16.2
 1996 10 856·5
 1996 11 116·7
 1996 12 416·4
 1997 01  116·1
 1997 02  96·1
 1997 03  766·0
 1997 04  326.1
 1997 05  286·4
 1997 06  236·5
 1997 07  836·3
 1997 08  135·8
 1997 09  36.2
 1997 10  76.2
 1997 11  456·2
 1997 12  286·1
 1998 01 115·8
 1998 02 696·1
 1998 03 986·1
 1998 04 456·0
 1998 05 516.3
 1998 06 395.8
 1998 07 75.8
 1998 08 585.7
 1998 09 506.0
 1998 10 766.1
 1998 11 596·1
 1998 12 885·9
 1999 01  585.9
 1999 02  596.1
 1999 03  676·0
 1999 04  775.6
 1999 05  515.8
 1999 06  975·8
 1999 07  695.8
 1999 08  965.4
 1999 09  285.4
 1999 10  205.9
 1999 11  285·7
 1999 12  375.6
 2000 01 155.7
 2000 02 855.7
 2000 03 315·7
 2000 04 225.7
 2000 05 635.8
 2000 06 745.4
 2000 07 925.5
 2000 08 925·2
 2000 09 465.4
 2000 10 945.5
 2000 11 485·2
 2000 12 195·5
 2001 01  665·2
 2001 02  765.6
 2001 03  635.5
 2001 04  955.3
 2001 05  475·4
 2001 06  775·2
 2001 07  245.4
 2001 08  415·2
 2001 09  415.4
 2001 10  785.2
 2001 11  445·1
 2001 12  995·3
 2002 01 225.2
 2002 02 865.2
 2002 03 615·5
 2002 04 405·3
 2002 05 915·2
 2002 06 335.3
 2002 07 375.2
 2002 08 574.9
 2002 09 725·3
 2002 10 755.2
 2002 11 624.9
 2002 12 695·5
 2003 01  185·0
 2003 02  945.3
 2003 03  475.3
 2003 04  225·2
 2003 05  35.3
 2003 06  975.3
 2003 07  315.2
 2003 08  835·1
 2003 09  274·9
 2003 10  155.1
 2003 11  775·1
 2003 12  475.0
 2004 01 155·1
 2004 02 45.1
 2004 03 715.0
 2004 04 335.0
 2004 05 194.9
 2004 06 485.0
 2004 07 285·2
 2004 08 855·3
 2004 09 135·5
 2004 10 525.6
 2004 11 855.3
 2004 12 735·4
 2005 01  994·9
 2005 02  475.3
 2005 03  55·2
 2005 04  905.1
 2005 05  15.0
 2005 06  915.3
 2005 07  765.1
 2005 08  565.0
 2005 09  695.2
 2005 10  655·3
 2005 11  115.0
 2005 12  155.0
 2006 01 805·0
 2006 02 764.8
 2006 03 475·0
 2006 04 364·9
 2006 05 334.9
 2006 06 555·0
 2006 07 494·8
 2006 08 134·6
 2006 09 545·0
 2006 10 595.1
 2006 11 24·9
 2006 12 655.1
 2007 01  934.9
 2007 02  705.2
 2007 03  215·1
 2007 04  365·2
 2007 05  265·0
 2007 06  944·8
 2007 07  434.9
 2007 08  964.8
 2007 09  535·0
 2007 10  645·1
 2007 11  315.0
 2007 12  394·9
 2008 01 994.8
 2008 02 344.8
 2008 03 744·8
 2008 04 835.0
 2008 05 165.0
 2008 06 885.1
 2008 07 835·1
 2008 08 735·2
 2008 09 775·3
 2008 10 325·3
 2008 11 975·0
 2008 12 795·1
 2009 01  854.9
 2009 02  985·1
 2009 03  795.2
 2009 04  935·2
 2009 05  634·8
 2009 06  414·7
 2009 07  164.8
 2009 08  364·4
 2009 09  624.8
 2009 10  445·1
 2009 11  224·9
 2009 12  524.8
 2010 01 594.7
 2010 02 145.0
 2010 03 345.0
 2010 04 94.8
 2010 05 534·9
 2010 06 824.8
 2010 07 164.4
 2010 08 14.5
 2010 09 694·4
 2010 10 54.5
 2010 11 544·5
 2010 12 494·5
 2011 01  584·5
 2011 02  634.7
 2011 03  634·5
 2011 04  964.6
 2011 05  964.8
 2011 06  654.8
 2011 07  794.6
 2011 08  114·5
 2011 09  824·6
 2011 10  424·7
 2011 11  674·7
 2011 12  884·8
 2012 01 434·8
 2012 02 504·7
 2012 03 134·8
 2012 04 474.7
 2012 05 284·8
 2012 06 714.4
 2012 07 314·6
 2012 08 314·5
 2012 09 134·6
 2012 10 114.6
 2012 11 584·7
 2012 12 114.6
 2013 01  984·4
 2013 02  25·0
 2013 03  584·8
 2013 04  794·7
 2013 05  94·8
 2013 06  24.8
 2013 07  184·6
 2013 08  554.5
 2013 09  964·8
 2013 10  914·5
 2013 11  514.5
 2013 12  834.4
 2014 01 354·3
 2014 02 764.6
 2014 03 954.4
 2014 04 334·5
 2014 05 254.7
 2014 06 884.5
 2014 07 134.6
 2014 08 984·4
 2014 09 934.6
 2014 10 854·8
 2014 11 944.7
 2014 12 974·5
 2015 01  894.8
 2015 02  494.8
 2015 03  484·7
 2015 04  764·2
 2015 05  874.3
 2015 06  854.3
 2015 07  164·6
 2015 08  24.4
 2015 09  894.5
 2015 10  254·8
 2015 11  594·7
 2015 12  704.8
 2016 01 204·5
 2016 02 264·6
 2016 03 654·7
 2016 04 04·6
 2016 05 304·6
 2016 06 704·3
 2016 07 484·3
 2016 08 344.3
 2016 09 954.5
 2016 10 634·8
 2016 11 444.6
 2016 12 444.4
 2017 01  144·6
 2017 02  374.9
 2017 03  184·9
 2017 04  214·6
 2017 05  144·7
 2017 06  484·6


 2017 07  574.5
 2017 08  874.4
 2017 09  454.7
 2017 10  794·5
 2017 11  744·4
 2017 12  844·6
 2018 01 824·8
 2018 02 355·0
 2018 03 64.9
 2018 04 834·6
 2018 05 264·4
 2018 06 494·4
 2018 07 174.4
 2018 08 764.4
 2018 09 24.6
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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, 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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