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 Series Title: Multiple Jobholders as a Percent of Employed, 16-19 years, 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 01 422·6
 1994 02 202.5
 1994 03 72.6
 1994 04 925·1
 1994 05 904·9
 1994 06 184.6
 1994 07 936·2
 1994 08 645.9
 1994 09 612.7
 1994 10 703·2
 1994 11 363.2
 1994 12 924·2
 1995 01  53·6
 1995 02  583·2
 1995 03  503.1
 1995 04  184·6
 1995 05  974·4
 1995 06  907.0
 1995 07  717·0
 1995 08  135.4
 1995 09  384·3
 1995 10  964·3
 1995 11  633.3
 1995 12  703·9
 1996 01 543.4
 1996 02 344·3
 1996 03 144.1
 1996 04 83.9
 1996 05 935.1
 1996 06 845·8
 1996 07 365.5
 1996 08 724.6
 1996 09 334·4
 1996 10 543.3
 1996 11 683.9
 1996 12 313·9
 1997 01  734.9
 1997 02  753.5
 1997 03  733.8
 1997 04  793·5
 1997 05  394.0
 1997 06  45.8
 1997 07  375.4
 1997 08  354.1
 1997 09  813.5
 1997 10  233.8
 1997 11  753·9
 1997 12  434·0
 1998 01 743·3
 1998 02 383.6
 1998 03 243·3
 1998 04 723.8
 1998 05 194·0
 1998 06 804.8
 1998 07 475.5
 1998 08 174.2
 1998 09 423.1
 1998 10 72·9
 1998 11 323·2
 1998 12 964·0
 1999 01  923·3
 1999 02  03.4
 1999 03  912.5
 1999 04  543·6
 1999 05  453.9
 1999 06  654·8
 1999 07  636·0
 1999 08  605.8
 1999 09  23·9
 1999 10  353.7
 1999 11  114.1
 1999 12  83.6
 2000 01 872·2
 2000 02 662·9
 2000 03 223.0
 2000 04 173·4
 2000 05 523.9
 2000 06 405.4
 2000 07 95.3
 2000 08 324·5
 2000 09 713.7
 2000 10 623.8
 2000 11 113·3
 2000 12 213.8
 2001 01  462·5
 2001 02  663.8
 2001 03  893.3
 2001 04  783·4
 2001 05  03.8
 2001 06  74·4
 2001 07  334.6
 2001 08  234·6
 2001 09  863·1
 2001 10  673.2
 2001 11  542·7
 2001 12  03.3
 2002 01 783·1
 2002 02 532.4
 2002 03 913·6
 2002 04 784.0
 2002 05 763.1
 2002 06 974·1
 2002 07 74.6
 2002 08 524.0
 2002 09 64·0
 2002 10 554.1
 2002 11 903·0
 2002 12 392·9
 2003 01  191·8
 2003 02  82.9
 2003 03  512·6
 2003 04  853.1
 2003 05  893·8
 2003 06  644.8
 2003 07  306·0
 2003 08  594.8
 2003 09  183·4
 2003 10  543·6
 2003 11  903·3
 2003 12  543.0
 2004 01 302·6
 2004 02 343.6
 2004 03 173·0
 2004 04 903.7
 2004 05 763·7
 2004 06 874.0
 2004 07 255·0
 2004 08 114.6
 2004 09 313·5
 2004 10 192·6
 2004 11 533·2
 2004 12 863.1
 2005 01  963.1
 2005 02  613.0
 2005 03  623.1
 2005 04  103.9
 2005 05  963.9
 2005 06  706·1
 2005 07  405.9
 2005 08  15.3
 2005 09  823.9
 2005 10  293·3
 2005 11  23.2
 2005 12  32·5
 2006 01 283·5
 2006 02 422.5
 2006 03 832·2
 2006 04 862·7
 2006 05 362·6
 2006 06 434.3
 2006 07 485.1
 2006 08 443.3
 2006 09 303.1
 2006 10 883·3
 2006 11 853·7
 2006 12 963·3
 2007 01  612·2
 2007 02  582.1
 2007 03  52.7
 2007 04  863·4
 2007 05  53.6
 2007 06  613.7
 2007 07  474·4
 2007 08  833·5
 2007 09  622.3
 2007 10  274·0
 2007 11  753·8
 2007 12  823·2
 2008 01 572.7
 2008 02 132.6
 2008 03 752.0
 2008 04 13·5
 2008 05 403.6
 2008 06 14·1
 2008 07 604·4
 2008 08 853·7
 2008 09 873.9
 2008 10 984·2
 2008 11 693.5
 2008 12 32·6
 2009 01  992·8
 2009 02  352.4
 2009 03  653·1
 2009 04  493·8
 2009 05  12·9
 2009 06  693.3
 2009 07  354.4
 2009 08  422.7
 2009 09  433·0
 2009 10  823.1
 2009 11  932·5
 2009 12  262·2
 2010 01 02.7
 2010 02 802.6
 2010 03 752.6
 2010 04 702·5
 2010 05 732.8
 2010 06 943·9
 2010 07 453.5
 2010 08 693·0
 2010 09 881·6
 2010 10 823.6
 2010 11 923·1
 2010 12 422.1
 2011 01  942·8
 2011 02  252.4
 2011 03  272.8
 2011 04  324.1
 2011 05  683.2
 2011 06  305·3
 2011 07  895.1
 2011 08  94·9
 2011 09  93.3
 2011 10  293·6
 2011 11  403.8
 2011 12  682.4
 2012 01 422.0
 2012 02 773·0
 2012 03 693·9
 2012 04 273·4
 2012 05 203·4
 2012 06 573·2
 2012 07 883·7
 2012 08 304·2
 2012 09 153·9
 2012 10 753·2
 2012 11 363·6
 2012 12 462·8
 2013 01  302·7
 2013 02  642.8
 2013 03  752·9
 2013 04  702·9
 2013 05  904.5
 2013 06  795.8
 2013 07  925.3
 2013 08  213·7
 2013 09  443.1
 2013 10  23.7
 2013 11  23·4
 2013 12  434.4
 2014 01 682.8
 2014 02 402.7
 2014 03 413.2
 2014 04 53.1
 2014 05 643.7
 2014 06 245.0
 2014 07 734·6
 2014 08 23.8
 2014 09 555.2
 2014 10 123.7
 2014 11 863·1
 2014 12 511.9
 2015 01  923·2
 2015 02  842.9
 2015 03  922.1
 2015 04  982·6
 2015 05  522.9
 2015 06  483·7
 2015 07  303·9
 2015 08  123·9
 2015 09  333.6
 2015 10  353·1
 2015 11  622.5
 2015 12  862·3
 2016 01 622·0
 2016 02 23.0
 2016 03 762·6
 2016 04 413.2
 2016 05 903·2
 2016 06 303.3
 2016 07 853.4
 2016 08 193·6
 2016 09 903.1
 2016 10 264.4
 2016 11 273.2
 2016 12 913.9
 2017 01  644·0
 2017 02  223·6
 2017 03  652.8
 2017 04  503·1
 2017 05  382·8
 2017 06  744.8


 2017 07  873·3
 2017 08  153·5
 2017 09  613·0
 2017 10  642·9
 2017 11  52·9
 2017 12  312.1
 2018 01 92.5
 2018 02 981.7
 2018 03 572·5
 2018 04 672·1
 2018 05 822·5
 2018 06 93·6
 2018 07 73.4
 2018 08 172·5
 2018 09 62.1
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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, 16-19 years, 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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