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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 01 634·8
 1994 02 355·0
 1994 03 835.1
 1994 04 995·3
 1994 05 975·0
 1994 06 934·8
 1994 07 54·9
 1994 08 834.6
 1994 09 545·1
 1994 10 65·3
 1994 11 855·1
 1994 12 215.1
 1995 01  845·1
 1995 02  565·6
 1995 03  345.7
 1995 04  585.7
 1995 05  625·9
 1995 06  485·0
 1995 07  914·9
 1995 08  644.9
 1995 09  895·2
 1995 10  155.5
 1995 11  195.2
 1995 12  325·4
 1996 01 905·0
 1996 02 145.9
 1996 03 65·8
 1996 04 815·4
 1996 05 165·5
 1996 06 254·8
 1996 07 655.0
 1996 08 565.2
 1996 09 425.5
 1996 10 565.8
 1996 11 336.1
 1996 12 265·7
 1997 01  685·1
 1997 02  385·6
 1997 03  735.4
 1997 04  855·4
 1997 05  195·5
 1997 06  285·3
 1997 07  735.3
 1997 08  524·9
 1997 09  475·3
 1997 10  85·5
 1997 11  475.6
 1997 12  715·6
 1998 01 265.4
 1998 02 835.3
 1998 03 325·7
 1998 04 115.3
 1998 05 575·4
 1998 06 875.0
 1998 07 914·9
 1998 08 664·7
 1998 09 665.2
 1998 10 755.8
 1998 11 125·5
 1998 12 575.6
 1999 01  25·5
 1999 02  285·5
 1999 03  75·3
 1999 04  265·1
 1999 05  415.3
 1999 06  554·7
 1999 07  154.8
 1999 08  434·5
 1999 09  845·3
 1999 10  865·3
 1999 11  985·6
 1999 12  25·6
 2000 01 555.1
 2000 02 785·1
 2000 03 455.3
 2000 04 225·2
 2000 05 65.2
 2000 06 124·6
 2000 07 694.6
 2000 08 474·4
 2000 09 114·8
 2000 10 964·7
 2000 11 64·9
 2000 12 475·0
 2001 01  714.8
 2001 02  604.9
 2001 03  215.1
 2001 04  155.0
 2001 05  125·2
 2001 06  624·7
 2001 07  04·7
 2001 08  714·5
 2001 09  845·0
 2001 10  834.9
 2001 11  575·0
 2001 12  594·8
 2002 01 614.5
 2002 02 304.9
 2002 03 314.8
 2002 04 484·6
 2002 05 464.7
 2002 06 354·4
 2002 07 824.5
 2002 08 334.5
 2002 09 625.1
 2002 10 545·0
 2002 11 15.3
 2002 12 315.3
 2003 01  605.1
 2003 02  685.3
 2003 03  984·9
 2003 04  884·6
 2003 05  174.6
 2003 06  854.5
 2003 07  134.4
 2003 08  724.4
 2003 09  314·9
 2003 10  355.1
 2003 11  94·8
 2003 12  795·0
 2004 01 294.9
 2004 02 775·1
 2004 03 725.2
 2004 04 265·0
 2004 05 614·9
 2004 06 904.7
 2004 07 164·7
 2004 08 584·7
 2004 09 25.0
 2004 10 835·1
 2004 11 795.0
 2004 12 445.2
 2005 01  534·8
 2005 02  865.3
 2005 03  245·1
 2005 04  785·2
 2005 05  395·1
 2005 06  574.8
 2005 07  394.8
 2005 08  804.3
 2005 09  114.8
 2005 10  764·8
 2005 11  364·6
 2005 12  934.8
 2006 01 434·7
 2006 02 514·9
 2006 03 545·0
 2006 04 874·7
 2006 05 374·8
 2006 06 134.1
 2006 07 554.5
 2006 08 564.6
 2006 09 175.1
 2006 10 185·3
 2006 11 275·2
 2006 12 195·4
 2007 01  344·9
 2007 02  495·0
 2007 03  835·1
 2007 04  205·1
 2007 05  645.0
 2007 06  134·8
 2007 07  614·9
 2007 08  284.7
 2007 09  65.0
 2007 10  395·1
 2007 11  255.1
 2007 12  384·9
 2008 01 874.9
 2008 02 875.3
 2008 03 615.1
 2008 04 685·1
 2008 05 575·2
 2008 06 364·8
 2008 07 824·7
 2008 08 634·8
 2008 09 904·9
 2008 10 945·0
 2008 11 274·9
 2008 12 924.8
 2009 01  885·0
 2009 02  925.5
 2009 03  595·4
 2009 04  485·6
 2009 05  754.9
 2009 06  874·7
 2009 07  654·9
 2009 08  524·8
 2009 09  35·2
 2009 10  605.0
 2009 11  585.0
 2009 12  474.7
 2010 01 464·9
 2010 02 195.0
 2010 03 774·9
 2010 04 34·9
 2010 05 54·8
 2010 06 954.3
 2010 07 834.3
 2010 08 124·3
 2010 09 64.6
 2010 10 444·8
 2010 11 654·9
 2010 12 964·7
 2011 01  984.8
 2011 02  484·8
 2011 03  364.9
 2011 04  974.7
 2011 05  584.8
 2011 06  144·4
 2011 07  344·4
 2011 08  864·5
 2011 09  844·7
 2011 10  734.8
 2011 11  224·7
 2011 12  554·8
 2012 01 44.5
 2012 02 824.9
 2012 03 864.8
 2012 04 254.6
 2012 05 674·6
 2012 06 234.3
 2012 07 424.2
 2012 08 394·1
 2012 09 494·4
 2012 10 24.9
 2012 11 254·9
 2012 12 664.4
 2013 01  504·5
 2013 02  524.8
 2013 03  04.6
 2013 04  14.6
 2013 05  954·6
 2013 06  284.2
 2013 07  534·1
 2013 08  634.3
 2013 09  354.5
 2013 10  124·5
 2013 11  994.6
 2013 12  964.5
 2014 01 464.2
 2014 02 114·7
 2014 03 744.6
 2014 04 694.5
 2014 05 274·6
 2014 06 564.3
 2014 07 424.2
 2014 08 764.3
 2014 09 44.7
 2014 10 54.9
 2014 11 914·7
 2014 12 374.4
 2015 01  284·3
 2015 02  384·5
 2015 03  334.7
 2015 04  954·7
 2015 05  734.4
 2015 06  634.3
 2015 07  74·2
 2015 08  194.1
 2015 09  404·7
 2015 10  115.0
 2015 11  754.6
 2015 12  54·7
 2016 01 554·4
 2016 02 384·4
 2016 03 244.6
 2016 04 704·7
 2016 05 684·8
 2016 06 274·4
 2016 07 704·4
 2016 08 594.5
 2016 09 555·0
 2016 10 845·0
 2016 11 475·0
 2016 12 424.8
 2017 01  154.4
 2017 02  414.5
 2017 03  214.6
 2017 04  124·4


 2017 05  744.6
 2017 06  544·4
 2017 07  794.3
 2017 08  884.3
 2017 09  834.5
 2017 10  54·4
 2017 11  334.7
 2017 12  154·7
 2018 01 174·4
 2018 02 04·5
 2018 03 224.4
 2018 04 624·5
 2018 05 764.4
 2018 06 724·5
 2018 07 84·7
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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