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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 01 215.4
 1994 02 345.5
 1994 03 595·6
 1994 04 945·8
 1994 05 615·6
 1994 06 805·4
 1994 07 775.4
 1994 08 65·3
 1994 09 35·8
 1994 10 625·9
 1994 11 335·8
 1994 12 545.7
 1995 01  15·7
 1995 02  616.2
 1995 03  406·0
 1995 04  826·0
 1995 05  276.3
 1995 06  855·8
 1995 07  365·7
 1995 08  605·6
 1995 09  845·9
 1995 10  656.1
 1995 11  855·9
 1995 12  815.9
 1996 01 965.4
 1996 02 576·1
 1996 03 736.2
 1996 04 656.0
 1996 05 146·2
 1996 06 445·6
 1996 07 155·6
 1996 08 555·7
 1996 09 146.0
 1996 10 316.3
 1996 11 476.4
 1996 12 226·1
 1997 01  945·7
 1997 02  515·9
 1997 03  325.7
 1997 04  595·9
 1997 05  826.0
 1997 06  606.0
 1997 07  605·8
 1997 08  855.5
 1997 09  275.9
 1997 10  396.0
 1997 11  416·1
 1997 12  456.0
 1998 01 55·9
 1998 02 965.9
 1998 03 156.1
 1998 04 75·9
 1998 05 166.2
 1998 06 625·6
 1998 07 455·6
 1998 08 665·3
 1998 09 855·7
 1998 10 946·1
 1998 11 175·9
 1998 12 415·8
 1999 01  645·8
 1999 02  735·8
 1999 03  456·0
 1999 04  755.7
 1999 05  265·7
 1999 06  55.2
 1999 07  675.3
 1999 08  395.1
 1999 09  745.5
 1999 10  245·7
 1999 11  465·8
 1999 12  265·8
 2000 01 315·6
 2000 02 855·5
 2000 03 705·6
 2000 04 565·6
 2000 05 495·6
 2000 06 695·0
 2000 07 515·1
 2000 08 725·0
 2000 09 35.3
 2000 10 845.3
 2000 11 285.3
 2000 12 445·4
 2001 01  935·1
 2001 02  615·4
 2001 03  635·5
 2001 04  665·2
 2001 05  455·4
 2001 06  575.1
 2001 07  445.1
 2001 08  565.0
 2001 09  95·3
 2001 10  535·1
 2001 11  845·1
 2001 12  605·2
 2002 01 605·0
 2002 02 575·3
 2002 03 215.2
 2002 04 465.1
 2002 05 995·0
 2002 06 994·9
 2002 07 184.9
 2002 08 84.7
 2002 09 515·3
 2002 10 365·2
 2002 11 635.2
 2002 12 665·5
 2003 01  675.2
 2003 02  515·5
 2003 03  695·2
 2003 04  645·1
 2003 05  225.2
 2003 06  495.0
 2003 07  735.0
 2003 08  704.9
 2003 09  165·1
 2003 10  625·3
 2003 11  395·1
 2003 12  805.1
 2004 01 755·1
 2004 02 475·1
 2004 03 545.3
 2004 04 115·1
 2004 05 495.1
 2004 06 865·0
 2004 07 315.0
 2004 08 95·0
 2004 09 145.3
 2004 10 855·4
 2004 11 85·3
 2004 12 425.4
 2005 01  705·0
 2005 02  765·4
 2005 03  495.3
 2005 04  55.2
 2005 05  425.3
 2005 06  155.1
 2005 07  405.0
 2005 08  164·7
 2005 09  805·1
 2005 10  855.2
 2005 11  955·0
 2005 12  205.0
 2006 01 615·1
 2006 02 915.1
 2006 03 525.3
 2006 04 865.0
 2006 05 855·1
 2006 06 654.7
 2006 07 734·8
 2006 08 84·8
 2006 09 765·2
 2006 10 655.4
 2006 11 475.2
 2006 12 55·4
 2007 01  865·1
 2007 02  715.2
 2007 03  865.3
 2007 04  225·4
 2007 05  895.1
 2007 06  914.8
 2007 07  295.0
 2007 08  275.0
 2007 09  865.3
 2007 10  555·3
 2007 11  375.1
 2007 12  155.0
 2008 01 35.0
 2008 02 215.2
 2008 03 05.1
 2008 04 55·2
 2008 05 905.2
 2008 06 705.0
 2008 07 294.9
 2008 08 415.0
 2008 09 215.3
 2008 10 105.2
 2008 11 645·0
 2008 12 915.1
 2009 01  995·1
 2009 02  705·5
 2009 03  665·4
 2009 04  515·5
 2009 05  485·0
 2009 06  94.8
 2009 07  234·9
 2009 08  394·6
 2009 09  185.0
 2009 10  85·0
 2009 11  504.9
 2009 12  04·7
 2010 01 844.8
 2010 02 735.0
 2010 03 824.9
 2010 04 24.9
 2010 05 484.9
 2010 06 364.5
 2010 07 844.3
 2010 08 414.3
 2010 09 354.5
 2010 10 544.6
 2010 11 434.6
 2010 12 344·7
 2011 01  944·7
 2011 02  84·8
 2011 03  724.9
 2011 04  264.6
 2011 05  24.8
 2011 06  54.5
 2011 07  94.6
 2011 08  864·5
 2011 09  594.7
 2011 10  774·7
 2011 11  174·8
 2011 12  94·8
 2012 01 904.7
 2012 02 804·9
 2012 03 834.9
 2012 04 134·8
 2012 05 454·9
 2012 06 964.4
 2012 07 214.5
 2012 08 424.4
 2012 09 14.6
 2012 10 324·9
 2012 11 694·9
 2012 12 674.5
 2013 01  564.5
 2013 02  195.0
 2013 03  894.8
 2013 04  804·8
 2013 05  384.8
 2013 06  134.5
 2013 07  694.4
 2013 08  24·4
 2013 09  954·5
 2013 10  984·5
 2013 11  234.6
 2013 12  754·4
 2014 01 44.3
 2014 02 784.8
 2014 03 874.7
 2014 04 704·6
 2014 05 654·7
 2014 06 864.4
 2014 07 264.3
 2014 08 804.4
 2014 09 34·6
 2014 10 785·0
 2014 11 264.9
 2014 12 254·7
 2015 01  694.6
 2015 02  374.7
 2015 03  14·8
 2015 04  494.5
 2015 05  384.5
 2015 06  684.3
 2015 07  894·5
 2015 08  214.4
 2015 09  104·8
 2015 10  44·9
 2015 11  524.8
 2015 12  344·9
 2016 01 114.5
 2016 02 04·5
 2016 03 794·7
 2016 04 94·6
 2016 05 914·7
 2016 06 394.5
 2016 07 824·4
 2016 08 894·5
 2016 09 264.9
 2016 10 285.0
 2016 11 994.9
 2016 12 444.7
 2017 01  164.5
 2017 02  974·8
 2017 03  934.9
 2017 04  674.6
 2017 05  874.7
 2017 06  44·5
 2017 07  524·4
 2017 08  784.3
 2017 09  884·6


 2017 10  304.7
 2017 11  894·6
 2017 12  204·8
 2018 01 954·8
 2018 02 814.9
 2018 03 424·7
 2018 04 644.7
 2018 05 94.5
 2018 06 904.4
 2018 07 734·6
 2018 08 34·5
 2018 09 554·5
 2018 10 145·0
 2018 11 714.8
 2018 12 564.9
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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