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 Series Title: Multiple Jobholders as a Percent of Employed, 25-54 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 635·9
 1994 02 96.2
 1994 03 16·3
 1994 04 296·3
 1994 05 86.2
 1994 06 535·9
 1994 07 845·7
 1994 08 485.7
 1994 09 766.4
 1994 10 526.4
 1994 11 246.2
 1994 12 236·3
 1995 01  166·1
 1995 02  886.7
 1995 03  346·5
 1995 04  966·5
 1995 05  66.8
 1995 06  666.4
 1995 07  536·3
 1995 08  386·2
 1995 09  446.4
 1995 10  196·7
 1995 11  426.5
 1995 12  416.4
 1996 01 566.2
 1996 02 46·7
 1996 03 896·7
 1996 04 276.4
 1996 05 926·5
 1996 06 16·1
 1996 07 96.0
 1996 08 386.1
 1996 09 296·4
 1996 10 186·9
 1996 11 387·0
 1996 12 436.7
 1997 01  666.3
 1997 02  866.5
 1997 03  396·5
 1997 04  386.5
 1997 05  286·6
 1997 06  626·5
 1997 07  06.3
 1997 08  416.1
 1997 09  676.4
 1997 10  276·6
 1997 11  356.5
 1997 12  966.5
 1998 01 576·3
 1998 02 896.3
 1998 03 816.6
 1998 04 726.3
 1998 05 996.5
 1998 06 786·0
 1998 07 15.9
 1998 08 635.8
 1998 09 196.2
 1998 10 526.6
 1998 11 826.6
 1998 12 906·5
 1999 01  666.4
 1999 02  926·4
 1999 03  396·3
 1999 04  956.1
 1999 05  166.2
 1999 06  45.8
 1999 07  85·8
 1999 08  475·6
 1999 09  696·0
 1999 10  216·2
 1999 11  526.4
 1999 12  426·2
 2000 01 526.0
 2000 02 996·0
 2000 03 605·9
 2000 04 986·0
 2000 05 135·9
 2000 06 195.4
 2000 07 445.5
 2000 08 605·3
 2000 09 305.7
 2000 10 895.8
 2000 11 425·7
 2000 12 955.9
 2001 01  15.5
 2001 02  395·9
 2001 03  185.9
 2001 04  05.6
 2001 05  525.7
 2001 06  275.5
 2001 07  585·5
 2001 08  925.2
 2001 09  355·6
 2001 10  345.4
 2001 11  775.4
 2001 12  165·5
 2002 01 245.5
 2002 02 675·7
 2002 03 115.6
 2002 04 415·6
 2002 05 195·6
 2002 06 585.5
 2002 07 235·4
 2002 08 615.2
 2002 09 465.5
 2002 10 625.5
 2002 11 35.6
 2002 12 955·8
 2003 01  555·6
 2003 02  635·7
 2003 03  615·5
 2003 04  885.4
 2003 05  235·5
 2003 06  655·3
 2003 07  375·3
 2003 08  85.3
 2003 09  485.3
 2003 10  25.5
 2003 11  935.3
 2003 12  505·3
 2004 01 575.4
 2004 02 295.3
 2004 03 185.5
 2004 04 335·4
 2004 05 05·4
 2004 06 295.3
 2004 07 235·4
 2004 08 15.3
 2004 09 525·6
 2004 10 75·9
 2004 11 475.7
 2004 12 235.8
 2005 01  145·4
 2005 02  965·8
 2005 03  535.6
 2005 04  945.4
 2005 05  115·2
 2005 06  535.4
 2005 07  285.3
 2005 08  325.1
 2005 09  935.5
 2005 10  585·6
 2005 11  875·5
 2005 12  815.5
 2006 01 365.4
 2006 02 195·4
 2006 03 655·5
 2006 04 115·3
 2006 05 415·4
 2006 06 675.0
 2006 07 275·1
 2006 08 165·1
 2006 09 325.5
 2006 10 585·6
 2006 11 605.6
 2006 12 155·7
 2007 01  605.4
 2007 02  755·6
 2007 03  775.5
 2007 04  515·7
 2007 05  15.5
 2007 06  245·2
 2007 07  175.3
 2007 08  965·1
 2007 09  555.4
 2007 10  375.5
 2007 11  415.5
 2007 12  415·3
 2008 01 465·4
 2008 02 705.5
 2008 03 385.4
 2008 04 75.5
 2008 05 275.4
 2008 06 55.3
 2008 07 205.3
 2008 08 385·4
 2008 09 715.4
 2008 10 495·5
 2008 11 265.2
 2008 12 35·4
 2009 01  805.3
 2009 02  335·6
 2009 03  195·8
 2009 04  955·7
 2009 05  785·4
 2009 06  145.1
 2009 07  865·3
 2009 08  355.1
 2009 09  175·4
 2009 10  745·4
 2009 11  405·3
 2009 12  665·2
 2010 01 715·2
 2010 02 185·5
 2010 03 195.4
 2010 04 575.4
 2010 05 415.3
 2010 06 805·0
 2010 07 874·8
 2010 08 34.8
 2010 09 524·9
 2010 10 154.9
 2010 11 305·0
 2010 12 235·0
 2011 01  564.9
 2011 02  55.1
 2011 03  625.1
 2011 04  605·1
 2011 05  265.2
 2011 06  574·9
 2011 07  214·7
 2011 08  844·7
 2011 09  645.1
 2011 10  25.1
 2011 11  695.1
 2011 12  905.0
 2012 01 955·0
 2012 02 975.1
 2012 03 955·0
 2012 04 955.0
 2012 05 695·1
 2012 06 244·8
 2012 07 114.8
 2012 08 454.6
 2012 09 614.8
 2012 10 894.9
 2012 11 555·1
 2012 12 84.9
 2013 01  734.8
 2013 02  245.3
 2013 03  915·2
 2013 04  804·9
 2013 05  295.0
 2013 06  864.8
 2013 07  54·8
 2013 08  774·7
 2013 09  804·8
 2013 10  564·8
 2013 11  124.9
 2013 12  464·9
 2014 01 24·8
 2014 02 415·0
 2014 03 485.0
 2014 04 554·9
 2014 05 945·2
 2014 06 734.7
 2014 07 774.6
 2014 08 984·7
 2014 09 824.9
 2014 10 75.3
 2014 11 875·2
 2014 12 955·0
 2015 01  165.1
 2015 02  265.0
 2015 03  905.0
 2015 04  884·8
 2015 05  734.7
 2015 06  374·7
 2015 07  244.6
 2015 08  494·6
 2015 09  515·1
 2015 10  715·2
 2015 11  535.1
 2015 12  705·4
 2016 01 775.1
 2016 02 855·1
 2016 03 645·2
 2016 04 724.9
 2016 05 15·0
 2016 06 604.6
 2016 07 704·8
 2016 08 974.8
 2016 09 985·3
 2016 10 25.4
 2016 11 95.4
 2016 12 155·2
 2017 01  705·1
 2017 02  455.5


 2017 03  445·5
 2017 04  215·0
 2017 05  405·2
 2017 06  444.8
 2017 07  624.7
 2017 08  334·6
 2017 09  604.8
 2017 10  815·1
 2017 11  775·1
 2017 12  965.2
 2018 01 45·2
 2018 02 625·4
 2018 03 275·3
 2018 04 795·1
 2018 05 744·9
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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, 25-54 years: 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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