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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 01 664.8
 1994 02 835·0
 1994 03 765·1
 1994 04 145·3
 1994 05 935·0
 1994 06 124.8
 1994 07 694.9
 1994 08 954.6
 1994 09 05.1
 1994 10 515·3
 1994 11 765·1
 1994 12 885.1
 1995 01  365·1
 1995 02  835.6
 1995 03  105.7
 1995 04  365.7
 1995 05  765·9
 1995 06  155·0
 1995 07  74·9
 1995 08  94·9
 1995 09  225·2
 1995 10  775.5
 1995 11  325·2
 1995 12  05·4
 1996 01 985.0
 1996 02 275·9
 1996 03 725·8
 1996 04 285·4
 1996 05 545·5
 1996 06 464.8
 1996 07 395.0
 1996 08 395.2
 1996 09 675·5
 1996 10 405·8
 1996 11 736·1
 1996 12 15·7
 1997 01  365·1
 1997 02  425·6
 1997 03  345·4
 1997 04  85·4
 1997 05  885·5
 1997 06  95·3
 1997 07  135·3
 1997 08  794.9
 1997 09  725·3
 1997 10  215·5
 1997 11  215.6
 1997 12  585.6
 1998 01 635·4
 1998 02 855·3
 1998 03 965·7
 1998 04 155.3
 1998 05 635.4
 1998 06 335.0
 1998 07 14·9
 1998 08 444·7
 1998 09 965.2
 1998 10 225.8
 1998 11 255.5
 1998 12 645.6
 1999 01  135·5
 1999 02  345·5
 1999 03  795·3
 1999 04  185.1
 1999 05  895.3
 1999 06  744·7
 1999 07  34.8
 1999 08  774.5
 1999 09  255.3
 1999 10  755·3
 1999 11  585.6
 1999 12  345.6
 2000 01 465.1
 2000 02 935·1
 2000 03 335·3
 2000 04 95.2
 2000 05 35·2
 2000 06 104.6
 2000 07 404·6
 2000 08 454·4
 2000 09 704.8
 2000 10 324·7
 2000 11 184.9
 2000 12 125·0
 2001 01  494·8
 2001 02  924.9
 2001 03  295·1
 2001 04  35.0
 2001 05  655·2
 2001 06  454.7
 2001 07  614·7
 2001 08  394·5
 2001 09  675·0
 2001 10  744.9
 2001 11  275·0
 2001 12  624.8
 2002 01 324.5
 2002 02 854·9
 2002 03 664·8
 2002 04 434·6
 2002 05 604·7
 2002 06 94·4
 2002 07 394·5
 2002 08 764.5
 2002 09 765·1
 2002 10 45·0
 2002 11 355.3
 2002 12 785·3
 2003 01  305.1
 2003 02  515.3
 2003 03  674·9
 2003 04  964.6
 2003 05  994.6
 2003 06  574·5
 2003 07  734.4
 2003 08  974.4
 2003 09  824·9
 2003 10  525.1
 2003 11  144·8
 2003 12  775.0
 2004 01 44·9
 2004 02 955.1
 2004 03 805·2
 2004 04 535·0
 2004 05 174.9
 2004 06 664·7
 2004 07 844·7
 2004 08 714·7
 2004 09 965·0
 2004 10 735.1
 2004 11 625·0
 2004 12 995·2
 2005 01  404·8
 2005 02  465.3
 2005 03  795·1
 2005 04  315.2
 2005 05  765.1
 2005 06  424.8
 2005 07  214.8
 2005 08  874·3
 2005 09  534·8
 2005 10  444.8
 2005 11  34·6
 2005 12  114·8
 2006 01 484·7
 2006 02 584.9
 2006 03 615.0
 2006 04 724.7
 2006 05 604·8
 2006 06 154·1
 2006 07 584·5
 2006 08 644.6
 2006 09 155·1
 2006 10 725·3
 2006 11 835·2
 2006 12 75.4
 2007 01  634·9
 2007 02  105·0
 2007 03  485·1
 2007 04  435.1
 2007 05  805·0
 2007 06  374.8
 2007 07  924·9
 2007 08  444.7
 2007 09  665.0
 2007 10  845.1
 2007 11  775·1
 2007 12  14·9
 2008 01 464.9
 2008 02 85·3
 2008 03 915.1
 2008 04 365·1
 2008 05 725.2
 2008 06 894.8
 2008 07 464·7
 2008 08 914·8
 2008 09 174·9
 2008 10 365·0
 2008 11 824·9
 2008 12 374·8
 2009 01  835·0
 2009 02  795.5
 2009 03  605·4
 2009 04  675·6
 2009 05  964·9
 2009 06  754·7
 2009 07  694.9
 2009 08  04·8
 2009 09  45·2
 2009 10  65·0
 2009 11  215.0
 2009 12  814.7
 2010 01 854·9
 2010 02 795.0
 2010 03 554.9
 2010 04 784·9
 2010 05 374.8
 2010 06 244.3
 2010 07 334·3
 2010 08 864.3
 2010 09 884.6
 2010 10 04.8
 2010 11 434·9
 2010 12 244·7
 2011 01  864·8
 2011 02  864·8
 2011 03  984.9
 2011 04  364·7
 2011 05  74·8
 2011 06  914.4
 2011 07  364·4
 2011 08  914.5
 2011 09  534.7
 2011 10  454·8
 2011 11  204·7
 2011 12  844.8
 2012 01 474.5
 2012 02 64.9
 2012 03 384·8
 2012 04 334.6
 2012 05 414.6
 2012 06 544·3
 2012 07 24.2
 2012 08 824·1
 2012 09 104·4
 2012 10 974.9
 2012 11 514·9
 2012 12 24.4
 2013 01  554·5
 2013 02  674·8
 2013 03  474.6
 2013 04  854.6
 2013 05  04.6
 2013 06  194·2
 2013 07  794.1
 2013 08  514·3
 2013 09  964·5
 2013 10  354.5
 2013 11  584.6
 2013 12  454.5
 2014 01 184·2
 2014 02 234·7
 2014 03 244.6
 2014 04 354.5
 2014 05 684·6
 2014 06 144·3
 2014 07 394.2
 2014 08 154.3
 2014 09 704·7
 2014 10 634.9
 2014 11 904.7
 2014 12 54·4
 2015 01  744.3
 2015 02  544·5
 2015 03  914.7
 2015 04  484.7
 2015 05  574·4
 2015 06  934.3
 2015 07  804.2
 2015 08  154·1
 2015 09  184·7
 2015 10  115·0
 2015 11  204.6
 2015 12  984·7
 2016 01 834.4
 2016 02 654·4
 2016 03 984.6
 2016 04 184·7
 2016 05 24·8
 2016 06 364·4
 2016 07 274·4
 2016 08 184·5
 2016 09 505·0
 2016 10 325·0
 2016 11 455.0
 2016 12 684·8
 2017 01  294.4
 2017 02  844.5
 2017 03  154.6
 2017 04  614.4
 2017 05  634.6
 2017 06  484·4


 2017 07  264.3
 2017 08  164·3
 2017 09  34.5
 2017 10  64.4
 2017 11  894.7
 2017 12  794·7
 2018 01 244.4
 2018 02 664·5
 2018 03 434.4
 2018 04 184.5
 2018 05 264.4
 2018 06 574·5
 2018 07 504.7
 2018 08 264.6
 2018 09 364·5
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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, 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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