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 Series Title: Multiple Jobholders as a Percent of Employed, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 495·7
 1994 02 865.8
 1994 03 136·1
 1994 04 516·0
 1994 05 466·1
 1994 06 465·9
 1994 07 15·8
 1994 08 896·0
 1994 09 726·4
 1994 10 686.3
 1994 11 526.2
 1994 12 896·1
 1995 01  786.0
 1995 02  326·3
 1995 03  806·0
 1995 04  946·2
 1995 05  386.4
 1995 06  456·5
 1995 07  226·5
 1995 08  746·2
 1995 09  536.4
 1995 10  396·5
 1995 11  426·2
 1995 12  226.0
 1996 01 485.8
 1996 02 716.3
 1996 03 266·3
 1996 04 586.2
 1996 05 746·5
 1996 06 226·2
 1996 07 886·1
 1996 08 256·0
 1996 09 76·2
 1996 10 996.5
 1996 11 666·7
 1996 12 946·4
 1997 01  466.1
 1997 02  336.1
 1997 03  226.0
 1997 04  586·1
 1997 05  166·4
 1997 06  816.5
 1997 07  456.3
 1997 08  365.8
 1997 09  706·2
 1997 10  256.2
 1997 11  476·2
 1997 12  736·1
 1998 01 815·8
 1998 02 726·1
 1998 03 676·1
 1998 04 376·0
 1998 05 506.3
 1998 06 525·8
 1998 07 675·8
 1998 08 235.7
 1998 09 36·0
 1998 10 236.1
 1998 11 356.1
 1998 12 495.9
 1999 01  895.9
 1999 02  676·1
 1999 03  846·0
 1999 04  615·6
 1999 05  855·8
 1999 06  895·8
 1999 07  525.8
 1999 08  275·4
 1999 09  915·4
 1999 10  225.9
 1999 11  25.7
 1999 12  415.6
 2000 01 315.7
 2000 02 225·7
 2000 03 215·7
 2000 04 225.7
 2000 05 575·8
 2000 06 715·4
 2000 07 235.5
 2000 08 165.2
 2000 09 445·4
 2000 10 755.5
 2000 11 455·2
 2000 12 895.5
 2001 01  935.2
 2001 02  675.6
 2001 03  515·5
 2001 04  385.3
 2001 05  285.4
 2001 06  25·2
 2001 07  285.4
 2001 08  805·2
 2001 09  05.4
 2001 10  635.2
 2001 11  895·1
 2001 12  615.3
 2002 01 845.2
 2002 02 565·2
 2002 03 725·5
 2002 04 495·3
 2002 05 815·2
 2002 06 125·3
 2002 07 395·2
 2002 08 384·9
 2002 09 175·3
 2002 10 895.2
 2002 11 804.9
 2002 12 485·5
 2003 01  415.0
 2003 02  685.3
 2003 03  65.3
 2003 04  235·2
 2003 05  295·3
 2003 06  565.3
 2003 07  565.2
 2003 08  315·1
 2003 09  814.9
 2003 10  845.1
 2003 11  935.1
 2003 12  685·0
 2004 01 245.1
 2004 02 85·1
 2004 03 35.0
 2004 04 515·0
 2004 05 64·9
 2004 06 115·0
 2004 07 15.2
 2004 08 265·3
 2004 09 45·5
 2004 10 05·6
 2004 11 245.3
 2004 12 615.4
 2005 01  184.9
 2005 02  55.3
 2005 03  355·2
 2005 04  505·1
 2005 05  735.0
 2005 06  845·3
 2005 07  225.1
 2005 08  145·0
 2005 09  205·2
 2005 10  185·3
 2005 11  985·0
 2005 12  955·0
 2006 01 345.0
 2006 02 134·8
 2006 03 15.0
 2006 04 634.9
 2006 05 164.9
 2006 06 25.0
 2006 07 934.8
 2006 08 124·6
 2006 09 905·0
 2006 10 415.1
 2006 11 624·9
 2006 12 615.1
 2007 01  84.9
 2007 02  125.2
 2007 03  225.1
 2007 04  555.2
 2007 05  445·0
 2007 06  214·8
 2007 07  104.9
 2007 08  624.8
 2007 09  05.0
 2007 10  05.1
 2007 11  895.0
 2007 12  774.9
 2008 01 04·8
 2008 02 54.8
 2008 03 484·8
 2008 04 185.0
 2008 05 955·0
 2008 06 195·1
 2008 07 985.1
 2008 08 315·2
 2008 09 605.3
 2008 10 485.3
 2008 11 785·0
 2008 12 835·1
 2009 01  964·9
 2009 02  235·1
 2009 03  515·2
 2009 04  705.2
 2009 05  274·8
 2009 06  14.7
 2009 07  44.8
 2009 08  104.4
 2009 09  64.8
 2009 10  645.1
 2009 11  514.9
 2009 12  484.8
 2010 01 64.7
 2010 02 195·0
 2010 03 295.0
 2010 04 524·8
 2010 05 284·9
 2010 06 964·8
 2010 07 24.4
 2010 08 184·5
 2010 09 984·4
 2010 10 544.5
 2010 11 564.5
 2010 12 634.5
 2011 01  654.5
 2011 02  724.7
 2011 03  64.5
 2011 04  324.6
 2011 05  64·8
 2011 06  594.8
 2011 07  894.6
 2011 08  944.5
 2011 09  214.6
 2011 10  454.7
 2011 11  674·7
 2011 12  434.8
 2012 01 354·8
 2012 02 884·7
 2012 03 304.8
 2012 04 994·7
 2012 05 994.8
 2012 06 684.4
 2012 07 884.6
 2012 08 64.5
 2012 09 884.6
 2012 10 944.6
 2012 11 824.7
 2012 12 324·6
 2013 01  14·4
 2013 02  955.0
 2013 03  724·8
 2013 04  734·7
 2013 05  664.8
 2013 06  294·8
 2013 07  484.6
 2013 08  464·5
 2013 09  324·8
 2013 10  784.5
 2013 11  234·5
 2013 12  974·4
 2014 01 744·3
 2014 02 474·6
 2014 03 334·4
 2014 04 944·5
 2014 05 934·7
 2014 06 704·5
 2014 07 424·6
 2014 08 314.4
 2014 09 144.6
 2014 10 24·8
 2014 11 384.7
 2014 12 284·5
 2015 01  884·8
 2015 02  254.8
 2015 03  344·7
 2015 04  284·2
 2015 05  904.3
 2015 06  454.3
 2015 07  674.6
 2015 08  24.4
 2015 09  214.5
 2015 10  954·8
 2015 11  14·7
 2015 12  434·8
 2016 01 54.5
 2016 02 314·6
 2016 03 234.7
 2016 04 694·6
 2016 05 944·6
 2016 06 354·3
 2016 07 474.3
 2016 08 264.3
 2016 09 624·5
 2016 10 134·8
 2016 11 104·6
 2016 12 834.4
 2017 01  104·6
 2017 02  964.9
 2017 03  754·9
 2017 04  334.6
 2017 05  634.7
 2017 06  424.6
 2017 07  304·5
 2017 08  964.4
 2017 09  734·7


 2017 10  334.5
 2017 11  874·4
 2017 12  154.6
 2018 01 134.8
 2018 02 745·0
 2018 03 864·9
 2018 04 614.6
 2018 05 864.4
 2018 06 984·4
 2018 07 884·4
 2018 08 274.4
 2018 09 154.6
 2018 10 604·9
 2018 11 824·7
 2018 12 324·7
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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, White Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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