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 Series Title: Multiple Jobholders as a Percent of Employed, Married, Spouse Present, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 874.8
 1994 02 965.0
 1994 03 905·1
 1994 04 845·3
 1994 05 185·0
 1994 06 334·8
 1994 07 724·9
 1994 08 94.6
 1994 09 985.1
 1994 10 505·3
 1994 11 365·1
 1994 12 135.1
 1995 01  755·1
 1995 02  285.6
 1995 03  955·7
 1995 04  425·7
 1995 05  255.9
 1995 06  745·0
 1995 07  874·9
 1995 08  634.9
 1995 09  495.2
 1995 10  205·5
 1995 11  755·2
 1995 12  725·4
 1996 01 735·0
 1996 02 215·9
 1996 03 475·8
 1996 04 885·4
 1996 05 465·5
 1996 06 614·8
 1996 07 155·0
 1996 08 545.2
 1996 09 445.5
 1996 10 465·8
 1996 11 186·1
 1996 12 395·7
 1997 01  675.1
 1997 02  75·6
 1997 03  185.4
 1997 04  395·4
 1997 05  415.5
 1997 06  05·3
 1997 07  35·3
 1997 08  724.9
 1997 09  165.3
 1997 10  85.5
 1997 11  875·6
 1997 12  825.6
 1998 01 675.4
 1998 02 375·3
 1998 03 65·7
 1998 04 385.3
 1998 05 965.4
 1998 06 195·0
 1998 07 254.9
 1998 08 354.7
 1998 09 275·2
 1998 10 105.8
 1998 11 305.5
 1998 12 915.6
 1999 01  105.5
 1999 02  935·5
 1999 03  355.3
 1999 04  515·1
 1999 05  215.3
 1999 06  734.7
 1999 07  784.8
 1999 08  844·5
 1999 09  615.3
 1999 10  825·3
 1999 11  215·6
 1999 12  845·6
 2000 01 555·1
 2000 02 775·1
 2000 03 535.3
 2000 04 705.2
 2000 05 535.2
 2000 06 404.6
 2000 07 864.6
 2000 08 864.4
 2000 09 304·8
 2000 10 774·7
 2000 11 584·9
 2000 12 25·0
 2001 01  884.8
 2001 02  204·9
 2001 03  335·1
 2001 04  125.0
 2001 05  515·2
 2001 06  264.7
 2001 07  974.7
 2001 08  344·5
 2001 09  705.0
 2001 10  764·9
 2001 11  645·0
 2001 12  134.8
 2002 01 204·5
 2002 02 764.9
 2002 03 724·8
 2002 04 184·6
 2002 05 14·7
 2002 06 594·4
 2002 07 834·5
 2002 08 434·5
 2002 09 405.1
 2002 10 825.0
 2002 11 865·3
 2002 12 85·3
 2003 01  855.1
 2003 02  245·3
 2003 03  944·9
 2003 04  554·6
 2003 05  144·6
 2003 06  954·5
 2003 07  444·4
 2003 08  564.4
 2003 09  264·9
 2003 10  245·1
 2003 11  994·8
 2003 12  35.0
 2004 01 464·9
 2004 02 695.1
 2004 03 475.2
 2004 04 165·0
 2004 05 254.9
 2004 06 114·7
 2004 07 14.7
 2004 08 394·7
 2004 09 395.0
 2004 10 575·1
 2004 11 995.0
 2004 12 415·2
 2005 01  874.8
 2005 02  395·3
 2005 03  45.1
 2005 04  175.2
 2005 05  955.1
 2005 06  134.8
 2005 07  34·8
 2005 08  854·3
 2005 09  144·8
 2005 10  604.8
 2005 11  104·6
 2005 12  894.8
 2006 01 184·7
 2006 02 894.9
 2006 03 625·0
 2006 04 994.7
 2006 05 94·8
 2006 06 294.1
 2006 07 234.5
 2006 08 94·6
 2006 09 125·1
 2006 10 385·3
 2006 11 805.2
 2006 12 385.4
 2007 01  764·9
 2007 02  985.0
 2007 03  465·1
 2007 04  305·1
 2007 05  785·0
 2007 06  154·8
 2007 07  594.9
 2007 08  544.7
 2007 09  185.0
 2007 10  205·1
 2007 11  825.1
 2007 12  54.9
 2008 01 214.9
 2008 02 715·3
 2008 03 35·1
 2008 04 15.1
 2008 05 385·2
 2008 06 494·8
 2008 07 344.7
 2008 08 874·8
 2008 09 434.9
 2008 10 605.0
 2008 11 144·9
 2008 12 324·8
 2009 01  395.0
 2009 02  375·5
 2009 03  55·4
 2009 04  295.6
 2009 05  484.9
 2009 06  354·7
 2009 07  964·9
 2009 08  994.8
 2009 09  235.2
 2009 10  375·0
 2009 11  995.0
 2009 12  854.7
 2010 01 394.9
 2010 02 495.0
 2010 03 524·9
 2010 04 564.9
 2010 05 954·8
 2010 06 34·3
 2010 07 184·3
 2010 08 74.3
 2010 09 184.6
 2010 10 564.8
 2010 11 864.9
 2010 12 574.7
 2011 01  584·8
 2011 02  894·8
 2011 03  664.9
 2011 04  494.7
 2011 05  894·8
 2011 06  84.4
 2011 07  994.4
 2011 08  544.5
 2011 09  134.7
 2011 10  464·8
 2011 11  464.7
 2011 12  644.8
 2012 01 554·5
 2012 02 594.9
 2012 03 964·8
 2012 04 04·6
 2012 05 664.6
 2012 06 284.3
 2012 07 614·2
 2012 08 54·1
 2012 09 204·4
 2012 10 614·9
 2012 11 794·9
 2012 12 484.4
 2013 01  184.5
 2013 02  894·8
 2013 03  134·6
 2013 04  244.6
 2013 05  864·6
 2013 06  684·2
 2013 07  524·1
 2013 08  524·3
 2013 09  734.5
 2013 10  814.5
 2013 11  74·6
 2013 12  764·5
 2014 01 564.2
 2014 02 334.7
 2014 03 174.6
 2014 04 654·5
 2014 05 344·6
 2014 06 574.3
 2014 07 454.2
 2014 08 134.3
 2014 09 334.7
 2014 10 94.9
 2014 11 784·7
 2014 12 404·4
 2015 01  44·3
 2015 02  714.5
 2015 03  304.7
 2015 04  894·7
 2015 05  224·4
 2015 06  494.3
 2015 07  394·2
 2015 08  294·1
 2015 09  864·7
 2015 10  765·0
 2015 11  664.6
 2015 12  564.7
 2016 01 244·4
 2016 02 74·4
 2016 03 14·6
 2016 04 874·7
 2016 05 844.8
 2016 06 244·4
 2016 07 564·4
 2016 08 684·5
 2016 09 435·0
 2016 10 355.0
 2016 11 685.0
 2016 12 664.8
 2017 01  04·4
 2017 02  704.5


 2017 03  24·6
 2017 04  774·4
 2017 05  824·6
 2017 06  874·4
 2017 07  444.3
 2017 08  194.3
 2017 09  384·5
 2017 10  664.4
 2017 11  84·7
 2017 12  374.7
 2018 01 444·4
 2018 02 154·5
 2018 03 324.4
 2018 04 04·5
 2018 05 14·4
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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, Married, Spouse Present, Women: 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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