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 Series Title: Multiple Jobholders as a Percent of Employed, Black or African American 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 01 185·1
 1994 02 475.1
 1994 03 375·8
 1994 04 975·2
 1994 05 605.5
 1994 06 625·0
 1994 07 395.3
 1994 08 595·0
 1994 09 695·2
 1994 10 755·9
 1994 11 425.7
 1994 12 195.8
 1995 01  944.8
 1995 02  695·5
 1995 03  595·8
 1995 04  226.0
 1995 05  126.1
 1995 06  495.5
 1995 07  275·9
 1995 08  386·4
 1995 09  225·1
 1995 10  485·9
 1995 11  105·3
 1995 12  595.3
 1996 01 505.1
 1996 02 226.4
 1996 03 965.8
 1996 04 65·7
 1996 05 465.8
 1996 06 525·4
 1996 07 975.7
 1996 08 226.3
 1996 09 866·0
 1996 10 465.6
 1996 11 515.8
 1996 12 766.2
 1997 01  706.1
 1997 02  345.7
 1997 03  215·7
 1997 04  635·7
 1997 05  246.3
 1997 06  756·1
 1997 07  955·6
 1997 08  26.3
 1997 09  975.2
 1997 10  486.2
 1997 11  875·9
 1997 12  375·6
 1998 01 665.3
 1998 02 624·8
 1998 03 335·5
 1998 04 376·0
 1998 05 306.4
 1998 06 476.2
 1998 07 975.4
 1998 08 965·5
 1998 09 155·8
 1998 10 606.4
 1998 11 666.4
 1998 12 336.9
 1999 01  726·5
 1999 02  827.4
 1999 03  547.0
 1999 04  936·9
 1999 05  766.4
 1999 06  224·9
 1999 07  985.3
 1999 08  455·5
 1999 09  266·0
 1999 10  96.6
 1999 11  626·9
 1999 12  826·1
 2000 01 506.8
 2000 02 15.7
 2000 03 325.0
 2000 04 245·3
 2000 05 964.3
 2000 06 804·2
 2000 07 235.6
 2000 08 165·9
 2000 09 415·7
 2000 10 515.5
 2000 11 726.2
 2000 12 255·7
 2001 01  845·3
 2001 02  476.0
 2001 03  415·5
 2001 04  475.9
 2001 05  526·0
 2001 06  256.1
 2001 07  195.6
 2001 08  05.0
 2001 09  945·1
 2001 10  654.7
 2001 11  195.0
 2001 12  295·5
 2002 01 865.2
 2002 02 755·5
 2002 03 794·3
 2002 04 35·5
 2002 05 284.7
 2002 06 865·5
 2002 07 604.9
 2002 08 154·2
 2002 09 464·8
 2002 10 554·6
 2002 11 524.8
 2002 12 865·1
 2003 01  905·1
 2003 02  635.0
 2003 03  675·1
 2003 04  594·7
 2003 05  364·7
 2003 06  184·5
 2003 07  445·4
 2003 08  34·7
 2003 09  845.0
 2003 10  505.2
 2003 11  444.1
 2003 12  134·2
 2004 01 584.9
 2004 02 164·6
 2004 03 565·6
 2004 04 75·1
 2004 05 115·6
 2004 06 994·7
 2004 07 935·0
 2004 08 304·7
 2004 09 165·0
 2004 10 55.9
 2004 11 925·7
 2004 12 515.6
 2005 01  755·4
 2005 02  645.1
 2005 03  175·0
 2005 04  634.6
 2005 05  135·0
 2005 06  355.3
 2005 07  555.3
 2005 08  874.9
 2005 09  805·0
 2005 10  985.0
 2005 11  205.3
 2005 12  675.0
 2006 01 525·5
 2006 02 615.9
 2006 03 495·5
 2006 04 705·3
 2006 05 296.3
 2006 06 545.4
 2006 07 55.3
 2006 08 935.1
 2006 09 365.3
 2006 10 354·9
 2006 11 765.4
 2006 12 536·0
 2007 01  245.1
 2007 02  864·7
 2007 03  754·9
 2007 04  955·5
 2007 05  684·6
 2007 06  115·5
 2007 07  394·9
 2007 08  884.4
 2007 09  694.8
 2007 10  455.0
 2007 11  325.6
 2007 12  265.0
 2008 01 515·4
 2008 02 424·8
 2008 03 425·3
 2008 04 285.2
 2008 05 665.1
 2008 06 864.7
 2008 07 815·7
 2008 08 395·3
 2008 09 894·7
 2008 10 814·5
 2008 11 874·9
 2008 12 274·4
 2009 01  205.4
 2009 02  615·3
 2009 03  245.1
 2009 04  875·3
 2009 05  844.5
 2009 06  814.3
 2009 07  794·9
 2009 08  383.8
 2009 09  323·9
 2009 10  244.5
 2009 11  654.5
 2009 12  244.3
 2010 01 404·0
 2010 02 954·3
 2010 03 194·9
 2010 04 144·8
 2010 05 75.3
 2010 06 274·6
 2010 07 64·5
 2010 08 23.8
 2010 09 603·7
 2010 10 773.4
 2010 11 124.1
 2010 12 84·8
 2011 01  484·3
 2011 02  254.6
 2011 03  505·3
 2011 04  754.3
 2011 05  464·4
 2011 06  793.8
 2011 07  593·8
 2011 08  734·5
 2011 09  565·4
 2011 10  695.3
 2011 11  15.8
 2011 12  964·9
 2012 01 34·6
 2012 02 544·9
 2012 03 654.0
 2012 04 635·3
 2012 05 375.3
 2012 06 144.1
 2012 07 634·3
 2012 08 184·5
 2012 09 335.2
 2012 10 564·4
 2012 11 324·7
 2012 12 304·1
 2013 01  924.5
 2013 02  124.3
 2013 03  374.6
 2013 04  944·5
 2013 05  394·4
 2013 06  385.0
 2013 07  645.3
 2013 08  285·3
 2013 09  254·6
 2013 10  165·2
 2013 11  274.5
 2013 12  774.4
 2014 01 254.9
 2014 02 535·0
 2014 03 645.1
 2014 04 94·7
 2014 05 394·9
 2014 06 804.6
 2014 07 374.0
 2014 08 205.0
 2014 09 934.9
 2014 10 545.9
 2014 11 345.7
 2014 12 275.5
 2015 01  374.6
 2015 02  565·1
 2015 03  695·1
 2015 04  764·4
 2015 05  465.2
 2015 06  945·6
 2015 07  794·4
 2015 08  354.2
 2015 09  225.1
 2015 10  985.3
 2015 11  275·4
 2015 12  996.0
 2016 01 895.4
 2016 02 265·1
 2016 03 05·3
 2016 04 874·9
 2016 05 985.4
 2016 06 594.5
 2016 07 134·9
 2016 08 425·2
 2016 09 235.2
 2016 10 45·8
 2016 11 26·3
 2016 12 345·6
 2017 01  675.6
 2017 02  926·2


 2017 03  317·0
 2017 04  585·6
 2017 05  535·2
 2017 06  804·8
 2017 07  875.2
 2017 08  315.3
 2017 09  324.7
 2017 10  504·6
 2017 11  845.1
 2017 12  995·4
 2018 01 815·4
 2018 02 85·1
 2018 03 595·6
 2018 04 305.2
 2018 05 984·8
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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, Black or African American Men: 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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