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 Series Title: Multiple Jobholders as a Percent of Employed: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 685.6
 1994 02 245·8
 1994 03 295.9
 1994 04 926.0
 1994 05 456.0
 1994 06 245.7
 1994 07 665.8
 1994 08 385.7
 1994 09 886·1
 1994 10 226.1
 1994 11 36.0
 1994 12 836.0
 1995 01  485·8
 1995 02  06·3
 1995 03  546.1
 1995 04  706.2
 1995 05  06·4
 1995 06  646.2
 1995 07  576.1
 1995 08  706.0
 1995 09  446·1
 1995 10  476.3
 1995 11  756.1
 1995 12  766.2
 1996 01 75.8
 1996 02 56.3
 1996 03 956·3
 1996 04 76·0
 1996 05 376.2
 1996 06 206·0
 1996 07 305·9
 1996 08 75·9
 1996 09 126·1
 1996 10 986·5
 1996 11 186·6
 1996 12 466·4
 1997 01  306·0
 1997 02  716.2
 1997 03  236.1
 1997 04  176·1
 1997 05  186.3
 1997 06  966·3
 1997 07  326·1
 1997 08  415·8
 1997 09  266.0
 1997 10  546·2
 1997 11  576.2
 1997 12  606.2
 1998 01 296·0
 1998 02 526.1
 1998 03 386·1
 1998 04 446·1
 1998 05 276·2
 1998 06 215·8
 1998 07 365.8
 1998 08 885.6
 1998 09 476·0
 1998 10 196.2
 1998 11 406·3
 1998 12 96·2
 1999 01  386·0
 1999 02  266·1
 1999 03  626.1
 1999 04  545·8
 1999 05  765.9
 1999 06  495.6
 1999 07  415.7
 1999 08  905·4
 1999 09  615.7
 1999 10  216.0
 1999 11  386·0
 1999 12  116.0
 2000 01 195·7
 2000 02 985.7
 2000 03 445·7
 2000 04 385.7
 2000 05 995.7
 2000 06 605.3
 2000 07 695·5
 2000 08 145·2
 2000 09 785·5
 2000 10 165.5
 2000 11 525.5
 2000 12 85·7
 2001 01  565.3
 2001 02  975.6
 2001 03  565.6
 2001 04  145.4
 2001 05  585.5
 2001 06  585·4
 2001 07  685·4
 2001 08  515·1
 2001 09  355·4
 2001 10  835·2
 2001 11  25·2
 2001 12  655·4
 2002 01 615·2
 2002 02 775·5
 2002 03 965.5
 2002 04 235.4
 2002 05 385·3
 2002 06 735·3
 2002 07 125.3
 2002 08 205.0
 2002 09 905.3
 2002 10 265.3
 2002 11 395·3
 2002 12 755·6
 2003 01  695·3
 2003 02  195·6
 2003 03  885.4
 2003 04  325·2
 2003 05  495·3
 2003 06  585·3
 2003 07  995.3
 2003 08  605.2
 2003 09  315.2
 2003 10  745.4
 2003 11  335.3
 2003 12  545·2
 2004 01 405.2
 2004 02 255.3
 2004 03 805.4
 2004 04 335·2
 2004 05 275·2
 2004 06 935.3
 2004 07 515.3
 2004 08 405·3
 2004 09 675.5
 2004 10 825·7
 2004 11 855.4
 2004 12 455·6
 2005 01  605·2
 2005 02  265·5
 2005 03  445·5
 2005 04  435·3
 2005 05  325·2
 2005 06  815·4
 2005 07  175.3
 2005 08  515.0
 2005 09  345.4
 2005 10  295.5
 2005 11  165.3
 2005 12  155.4
 2006 01 405.3
 2006 02 765·2
 2006 03 795·3
 2006 04 35.1
 2006 05 515·3
 2006 06 545·0
 2006 07 695·1
 2006 08 95.0
 2006 09 935.4
 2006 10 195·4
 2006 11 755.4
 2006 12 545·4
 2007 01  155·2
 2007 02  545.4
 2007 03  85·4
 2007 04  805.4
 2007 05  935.3
 2007 06  645.1
 2007 07  75·2
 2007 08  574.9
 2007 09  285·2
 2007 10  825·4
 2007 11  345·3
 2007 12  805.2
 2008 01 455.1
 2008 02 645·3
 2008 03 785.2
 2008 04 675·2
 2008 05 955.2
 2008 06 915.2
 2008 07 525.3
 2008 08 625.3
 2008 09 525.3
 2008 10 715.4
 2008 11 925·2
 2008 12 355·2
 2009 01  175·2
 2009 02  355.5
 2009 03  635·5
 2009 04  795·5
 2009 05  165.2
 2009 06  405.0
 2009 07  535.2
 2009 08  144.8
 2009 09  985·1
 2009 10  675.2
 2009 11  735.2
 2009 12  855·0
 2010 01 404·9
 2010 02 235.2
 2010 03 625·1
 2010 04 595·1
 2010 05 425·2
 2010 06 394·9
 2010 07 824.7
 2010 08 324·7
 2010 09 294.8
 2010 10 734·9
 2010 11 234·9
 2010 12 224.9
 2011 01  514·8
 2011 02  65·0
 2011 03  964·9
 2011 04  734.9
 2011 05  845·1
 2011 06  444.9
 2011 07  394·8
 2011 08  564·7
 2011 09  294.9
 2011 10  195.0
 2011 11  165.0
 2011 12  635.0
 2012 01 104.9
 2012 02 885·1
 2012 03 145·0
 2012 04 144·9
 2012 05 785·0
 2012 06 324·7
 2012 07 464.7
 2012 08 534·7
 2012 09 84.8
 2012 10 594·8
 2012 11 505.0
 2012 12 504.9
 2013 01  24.8
 2013 02  995.2
 2013 03  895.0
 2013 04  984.9
 2013 05  834.9
 2013 06  94·8
 2013 07  514.8
 2013 08  164.7
 2013 09  34.8
 2013 10  724·8
 2013 11  484·8
 2013 12  494.8
 2014 01 374.7
 2014 02 935·0
 2014 03 194·9
 2014 04 664.9
 2014 05 865·0
 2014 06 44·7
 2014 07 264.6
 2014 08 614.7
 2014 09 744.8
 2014 10 635·3
 2014 11 585.1
 2014 12 535.0
 2015 01  535·0
 2015 02  494·9
 2015 03  274·9
 2015 04  874·7
 2015 05  974·7
 2015 06  714.7
 2015 07  714.7
 2015 08  304·6
 2015 09  74·9
 2015 10  605·1
 2015 11  545·1
 2015 12  795·2
 2016 01 84.9
 2016 02 735·0
 2016 03 625·0
 2016 04 504·9
 2016 05 514.9
 2016 06 904.6
 2016 07 94·7
 2016 08 904·8
 2016 09 115·2
 2016 10 195.3
 2016 11 325.3
 2016 12 675.1
 2017 01  894·9
 2017 02  925.3


 2017 03  955·3
 2017 04  745·0
 2017 05  104·9
 2017 06  644·8
 2017 07  864.7
 2017 08  324.5
 2017 09  234·8
 2017 10  194·8
 2017 11  174.9
 2017 12  845.1
 2018 01 65.1
 2018 02 615·2
 2018 03 265·0
 2018 04 04·9
 2018 05 584.8
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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: 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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