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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 01 205·9
 1994 02 566.2
 1994 03 206.3
 1994 04 326.3
 1994 05 396.2
 1994 06 895.9
 1994 07 305·7
 1994 08 435.7
 1994 09 876·4
 1994 10 826·4
 1994 11 36·2
 1994 12 146·3
 1995 01  156·1
 1995 02  186.7
 1995 03  536.5
 1995 04  916·5
 1995 05  966.8
 1995 06  36·4
 1995 07  176.3
 1995 08  436·2
 1995 09  336.4
 1995 10  696.7
 1995 11  586.5
 1995 12  636.4
 1996 01 516·2
 1996 02 736.7
 1996 03 646·7
 1996 04 706.4
 1996 05 996.5
 1996 06 966·1
 1996 07 486.0
 1996 08 106.1
 1996 09 536.4
 1996 10 446.9
 1996 11 487.0
 1996 12 506.7
 1997 01  146·3
 1997 02  506.5
 1997 03  266.5
 1997 04  866.5
 1997 05  66·6
 1997 06  716.5
 1997 07  716·3
 1997 08  366·1
 1997 09  826.4
 1997 10  866.6
 1997 11  956·5
 1997 12  456.5
 1998 01 146·3
 1998 02 56.3
 1998 03 376·6
 1998 04 816·3
 1998 05 56.5
 1998 06 576.0
 1998 07 595·9
 1998 08 385·8
 1998 09 806·2
 1998 10 06·6
 1998 11 496·6
 1998 12 376.5
 1999 01  886.4
 1999 02  156·4
 1999 03  196·3
 1999 04  216·1
 1999 05  66.2
 1999 06  95.8
 1999 07  95.8
 1999 08  585·6
 1999 09  346·0
 1999 10  146.2
 1999 11  816·4
 1999 12  446.2
 2000 01 966·0
 2000 02 866·0
 2000 03 225·9
 2000 04 986.0
 2000 05 445.9
 2000 06 75·4
 2000 07 465.5
 2000 08 635·3
 2000 09 535·7
 2000 10 835·8
 2000 11 905·7
 2000 12 85·9
 2001 01  235·5
 2001 02  475.9
 2001 03  175·9
 2001 04  295·6
 2001 05  805.7
 2001 06  545.5
 2001 07  165·5
 2001 08  435.2
 2001 09  745·6
 2001 10  875·4
 2001 11  995·4
 2001 12  965.5
 2002 01 805·5
 2002 02 515.7
 2002 03 45.6
 2002 04 555·6
 2002 05 995·6
 2002 06 805.5
 2002 07 935.4
 2002 08 175·2
 2002 09 575·5
 2002 10 295·5
 2002 11 565·6
 2002 12 985·8
 2003 01  35.6
 2003 02  795·7
 2003 03  45·5
 2003 04  455·4
 2003 05  135.5
 2003 06  395.3
 2003 07  765.3
 2003 08  255·3
 2003 09  875·3
 2003 10  385.5
 2003 11  345·3
 2003 12  335.3
 2004 01 515·4
 2004 02 355·3
 2004 03 675.5
 2004 04 895·4
 2004 05 555·4
 2004 06 105·3
 2004 07 875.4
 2004 08 355.3
 2004 09 755·6
 2004 10 705.9
 2004 11 315·7
 2004 12 425·8
 2005 01  115·4
 2005 02  475·8
 2005 03  645·6
 2005 04  45·4
 2005 05  885.2
 2005 06  985.4
 2005 07  735·3
 2005 08  395.1
 2005 09  575.5
 2005 10  45·6
 2005 11  715.5
 2005 12  925·5
 2006 01 935.4
 2006 02 715.4
 2006 03 955.5
 2006 04 325.3
 2006 05 965.4
 2006 06 325.0
 2006 07 95·1
 2006 08 525·1
 2006 09 935.5
 2006 10 435.6
 2006 11 15·6
 2006 12 745.7
 2007 01  325.4
 2007 02  855.6
 2007 03  825.5
 2007 04  395.7
 2007 05  915.5
 2007 06  665·2
 2007 07  925.3
 2007 08  185·1
 2007 09  685.4
 2007 10  175.5
 2007 11  945.5
 2007 12  55·3
 2008 01 905·4
 2008 02 945.5
 2008 03 745.4
 2008 04 185·5
 2008 05 75.4
 2008 06 805.3
 2008 07 465.3
 2008 08 35.4
 2008 09 945.4
 2008 10 815·5
 2008 11 485.2
 2008 12 275.4
 2009 01  515·3
 2009 02  285.6
 2009 03  425·8
 2009 04  865·7
 2009 05  55.4
 2009 06  785·1
 2009 07  185·3
 2009 08  985·1
 2009 09  55·4
 2009 10  135·4
 2009 11  865·3
 2009 12  85.2
 2010 01 275·2
 2010 02 395.5
 2010 03 875.4
 2010 04 845·4
 2010 05 715·3
 2010 06 895·0
 2010 07 814·8
 2010 08 214·8
 2010 09 634.9
 2010 10 184.9
 2010 11 575.0
 2010 12 385.0
 2011 01  524.9
 2011 02  85.1
 2011 03  295·1
 2011 04  795·1
 2011 05  155.2
 2011 06  674.9
 2011 07  344.7
 2011 08  134·7
 2011 09  525·1
 2011 10  255.1
 2011 11  345.1
 2011 12  345.0
 2012 01 885·0
 2012 02 405·1
 2012 03 185·0
 2012 04 625.0
 2012 05 735·1
 2012 06 924.8
 2012 07 994.8
 2012 08 414·6
 2012 09 844·8
 2012 10 894·9
 2012 11 145.1
 2012 12 394·9
 2013 01  194.8
 2013 02  625·3
 2013 03  265·2
 2013 04  514.9
 2013 05  65·0
 2013 06  684.8
 2013 07  244.8
 2013 08  964·7
 2013 09  934·8
 2013 10  894.8
 2013 11  204.9
 2013 12  194·9
 2014 01 574.8
 2014 02 305·0
 2014 03 525·0
 2014 04 874·9
 2014 05 985·2
 2014 06 254·7
 2014 07 844·6
 2014 08 974.7
 2014 09 424·9
 2014 10 285·3
 2014 11 15.2
 2014 12 655.0
 2015 01  375.1
 2015 02  235.0
 2015 03  195·0
 2015 04  384.8
 2015 05  614.7
 2015 06  164.7
 2015 07  744.6
 2015 08  834·6
 2015 09  145·1
 2015 10  385.2
 2015 11  305·1
 2015 12  965.4
 2016 01 205.1
 2016 02 455.1
 2016 03 745·2
 2016 04 944·9
 2016 05 305·0
 2016 06 214.6
 2016 07 204·8
 2016 08 234·8
 2016 09 205·3
 2016 10 715.4
 2016 11 55.4
 2016 12 525.2
 2017 01  905·1
 2017 02  265.5
 2017 03  915.5
 2017 04  745.0
 2017 05  665·2
 2017 06  444.8
 2017 07  684·7
 2017 08  84·6
 2017 09  974·8


 2017 10  65.1
 2017 11  485.1
 2017 12  05.2
 2018 01 605.2
 2018 02 205·4
 2018 03 685.3
 2018 04 175·1
 2018 05 544·9
 2018 06 154·9
 2018 07 925·1
 2018 08 555·1
 2018 09 55.1
 2018 10 505·3
 2018 11 85.3
 2018 12 325.5
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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, 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

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