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 Series Title: Multiple Jobholders as a Percent of Employed, Married, Spouse Present: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 205.4
 1994 02 255·5
 1994 03 535·6
 1994 04 145·8
 1994 05 405.6
 1994 06 685.4
 1994 07 335.4
 1994 08 45·3
 1994 09 275.8
 1994 10 95·9
 1994 11 145·8
 1994 12 925.7
 1995 01  315·7
 1995 02  316.2
 1995 03  96·0
 1995 04  246.0
 1995 05  276·3
 1995 06  405·8
 1995 07  565·7
 1995 08  675·6
 1995 09  155.9
 1995 10  666·1
 1995 11  175.9
 1995 12  175·9
 1996 01 215.4
 1996 02 686·1
 1996 03 816·2
 1996 04 916.0
 1996 05 956.2
 1996 06 275.6
 1996 07 605·6
 1996 08 355.7
 1996 09 146.0
 1996 10 496.3
 1996 11 926·4
 1996 12 186·1
 1997 01  765.7
 1997 02  665.9
 1997 03  405·7
 1997 04  335·9
 1997 05  76·0
 1997 06  346·0
 1997 07  935.8
 1997 08  05.5
 1997 09  595.9
 1997 10  366.0
 1997 11  626.1
 1997 12  636·0
 1998 01 65·9
 1998 02 775.9
 1998 03 876.1
 1998 04 915·9
 1998 05 486.2
 1998 06 905.6
 1998 07 285·6
 1998 08 785·3
 1998 09 115.7
 1998 10 316·1
 1998 11 765.9
 1998 12 445.8
 1999 01  465.8
 1999 02  825·8
 1999 03  426·0
 1999 04  325.7
 1999 05  285.7
 1999 06  505.2
 1999 07  645.3
 1999 08  125·1
 1999 09  575.5
 1999 10  655.7
 1999 11  65.8
 1999 12  775.8
 2000 01 585·6
 2000 02 855.5
 2000 03 555.6
 2000 04 485.6
 2000 05 835·6
 2000 06 925·0
 2000 07 245.1
 2000 08 675.0
 2000 09 55.3
 2000 10 925.3
 2000 11 505·3
 2000 12 55·4
 2001 01  275·1
 2001 02  165.4
 2001 03  985·5
 2001 04  555·2
 2001 05  735.4
 2001 06  215·1
 2001 07  545·1
 2001 08  365.0
 2001 09  935·3
 2001 10  905.1
 2001 11  325·1
 2001 12  935·2
 2002 01 635.0
 2002 02 285.3
 2002 03 705·2
 2002 04 955.1
 2002 05 835.0
 2002 06 674.9
 2002 07 304·9
 2002 08 364·7
 2002 09 805·3
 2002 10 645.2
 2002 11 05.2
 2002 12 345.5
 2003 01  25.2
 2003 02  05·5
 2003 03  935·2
 2003 04  355.1
 2003 05  265·2
 2003 06  835.0
 2003 07  475·0
 2003 08  84.9
 2003 09  515.1
 2003 10  435·3
 2003 11  265·1
 2003 12  455.1
 2004 01 45·1
 2004 02 385·1
 2004 03 165·3
 2004 04 685.1
 2004 05 355·1
 2004 06 495·0
 2004 07 315·0
 2004 08 195·0
 2004 09 195.3
 2004 10 835·4
 2004 11 85.3
 2004 12 685.4
 2005 01  565·0
 2005 02  705·4
 2005 03  125·3
 2005 04  85.2
 2005 05  725·3
 2005 06  695.1
 2005 07  285·0
 2005 08  614.7
 2005 09  175·1
 2005 10  615·2
 2005 11  715·0
 2005 12  685.0
 2006 01 675·1
 2006 02 515·1
 2006 03 785·3
 2006 04 05.0
 2006 05 225·1
 2006 06 734·7
 2006 07 124·8
 2006 08 504·8
 2006 09 75.2
 2006 10 825·4
 2006 11 615.2
 2006 12 395.4
 2007 01  735·1
 2007 02  605·2
 2007 03  385·3
 2007 04  95.4
 2007 05  955·1
 2007 06  144·8
 2007 07  805.0
 2007 08  305.0
 2007 09  745.3
 2007 10  765.3
 2007 11  525.1
 2007 12  965.0
 2008 01 355.0
 2008 02 25·2
 2008 03 395.1
 2008 04 265.2
 2008 05 285.2
 2008 06 735.0
 2008 07 574.9
 2008 08 655·0
 2008 09 295.3
 2008 10 975·2
 2008 11 415·0
 2008 12 825·1
 2009 01  385·1
 2009 02  45·5
 2009 03  565.4
 2009 04  705·5
 2009 05  805·0
 2009 06  534·8
 2009 07  894·9
 2009 08  494.6
 2009 09  75.0
 2009 10  245·0
 2009 11  534·9
 2009 12  634·7
 2010 01 924·8
 2010 02 235.0
 2010 03 854.9
 2010 04 814.9
 2010 05 384·9
 2010 06 834.5
 2010 07 504.3
 2010 08 984·3
 2010 09 684.5
 2010 10 614.6
 2010 11 344·6
 2010 12 314.7
 2011 01  344.7
 2011 02  374.8
 2011 03  514.9
 2011 04  274.6
 2011 05  114.8
 2011 06  194.5
 2011 07  384.6
 2011 08  534·5
 2011 09  994·7
 2011 10  384.7
 2011 11  584.8
 2011 12  44·8
 2012 01 244.7
 2012 02 514·9
 2012 03 04·9
 2012 04 994·8
 2012 05 364·9
 2012 06 394.4
 2012 07 764·5
 2012 08 824·4
 2012 09 104.6
 2012 10 94.9
 2012 11 244·9
 2012 12 224.5
 2013 01  474·5
 2013 02  935·0
 2013 03  64·8
 2013 04  144.8
 2013 05  724·8
 2013 06  474·5
 2013 07  124.4
 2013 08  764·4
 2013 09  364.5
 2013 10  534.5
 2013 11  534·6
 2013 12  534·4
 2014 01 144.3
 2014 02 184·8
 2014 03 684.7
 2014 04 144.6
 2014 05 74·7
 2014 06 734.4
 2014 07 194.3
 2014 08 524.4
 2014 09 394·6
 2014 10 755.0
 2014 11 944·9
 2014 12 884·7
 2015 01  614.6
 2015 02  64·7
 2015 03  74·8
 2015 04  654·5
 2015 05  494·5
 2015 06  724.3
 2015 07  954.5
 2015 08  534·4
 2015 09  24·8
 2015 10  44·9
 2015 11  214·8
 2015 12  444.9
 2016 01 474.5
 2016 02 604.5
 2016 03 734·7
 2016 04 604·6
 2016 05 344·7
 2016 06 224·5
 2016 07 644.4
 2016 08 434·5
 2016 09 384.9
 2016 10 945.0
 2016 11 314.9
 2016 12 644·7
 2017 01  604·5
 2017 02  114.8
 2017 03  384.9
 2017 04  154.6
 2017 05  244·7
 2017 06  274·5


 2017 07  724.4
 2017 08  174·3
 2017 09  824·6
 2017 10  254.7
 2017 11  474.6
 2017 12  134.8
 2018 01 84·8
 2018 02 114.9
 2018 03 04.7
 2018 04 724·7
 2018 05 34·5
 2018 06 184·4
 2018 07 944.6
 2018 08 904·5
 2018 09 934·5
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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, Married, Spouse Present: 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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