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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 01 405.1
 1994 02 805·1
 1994 03 285·8
 1994 04 65·2
 1994 05 615·5
 1994 06 395.0
 1994 07 905·3
 1994 08 945·0
 1994 09 115·2
 1994 10 595.9
 1994 11 155.7
 1994 12 425.8
 1995 01  394.8
 1995 02  215.5
 1995 03  165.8
 1995 04  956·0
 1995 05  236.1
 1995 06  335.5
 1995 07  325.9
 1995 08  236.4
 1995 09  615.1
 1995 10  265·9
 1995 11  245·3
 1995 12  205·3
 1996 01 805·1
 1996 02 566·4
 1996 03 825.8
 1996 04 45.7
 1996 05 305·8
 1996 06 55.4
 1996 07 175.7
 1996 08 206.3
 1996 09 856.0
 1996 10 805.6
 1996 11 695.8
 1996 12 376.2
 1997 01  486·1
 1997 02  135·7
 1997 03  995·7
 1997 04  505.7
 1997 05  426.3
 1997 06  606.1
 1997 07  955.6
 1997 08  766.3
 1997 09  195.2
 1997 10  26.2
 1997 11  715.9
 1997 12  615·6
 1998 01 535·3
 1998 02 474·8
 1998 03 645·5
 1998 04 746.0
 1998 05 466·4
 1998 06 266·2
 1998 07 375·4
 1998 08 85.5
 1998 09 225·8
 1998 10 956.4
 1998 11 796·4
 1998 12 836·9
 1999 01  326·5
 1999 02  377·4
 1999 03  17·0
 1999 04  436.9
 1999 05  516·4
 1999 06  584.9
 1999 07  435·3
 1999 08  585·5
 1999 09  806·0
 1999 10  896.6
 1999 11  666.9
 1999 12  206.1
 2000 01 446.8
 2000 02 885.7
 2000 03 585.0
 2000 04 505.3
 2000 05 944·3
 2000 06 354·2
 2000 07 345.6
 2000 08 925·9
 2000 09 55·7
 2000 10 385.5
 2000 11 296·2
 2000 12 145·7
 2001 01  765.3
 2001 02  286·0
 2001 03  85.5
 2001 04  115.9
 2001 05  356·0
 2001 06  626.1
 2001 07  595.6
 2001 08  25.0
 2001 09  305·1
 2001 10  214.7
 2001 11  935.0
 2001 12  315·5
 2002 01 385·2
 2002 02 125.5
 2002 03 504·3
 2002 04 675.5
 2002 05 594.7
 2002 06 675.5
 2002 07 914.9
 2002 08 54.2
 2002 09 174·8
 2002 10 434.6
 2002 11 54·8
 2002 12 635.1
 2003 01  655.1
 2003 02  205·0
 2003 03  55.1
 2003 04  864.7
 2003 05  764·7
 2003 06  64·5
 2003 07  285.4
 2003 08  434·7
 2003 09  525.0
 2003 10  325·2
 2003 11  384.1
 2003 12  284.2
 2004 01 184.9
 2004 02 554·6
 2004 03 225·6
 2004 04 605·1
 2004 05 245.6
 2004 06 574.7
 2004 07 935.0
 2004 08 834.7
 2004 09 455·0
 2004 10 445·9
 2004 11 905·7
 2004 12 665·6
 2005 01  835·4
 2005 02  485·1
 2005 03  745·0
 2005 04  54·6
 2005 05  615·0
 2005 06  255.3
 2005 07  355.3
 2005 08  164.9
 2005 09  325.0
 2005 10  575.0
 2005 11  845.3
 2005 12  465·0
 2006 01 695.5
 2006 02 515.9
 2006 03 605.5
 2006 04 625.3
 2006 05 746·3
 2006 06 385·4
 2006 07 255·3
 2006 08 605.1
 2006 09 725.3
 2006 10 764·9
 2006 11 685·4
 2006 12 576·0
 2007 01  135.1
 2007 02  454.7
 2007 03  24·9
 2007 04  995.5
 2007 05  734·6
 2007 06  525.5
 2007 07  634·9
 2007 08  554.4
 2007 09  524.8
 2007 10  305.0
 2007 11  165.6
 2007 12  185.0
 2008 01 765·4
 2008 02 344·8
 2008 03 485.3
 2008 04 85.2
 2008 05 945·1
 2008 06 464.7
 2008 07 715.7
 2008 08 695.3
 2008 09 824·7
 2008 10 734.5
 2008 11 254.9
 2008 12 704.4
 2009 01  425·4
 2009 02  475·3
 2009 03  715.1
 2009 04  65·3
 2009 05  974·5
 2009 06  234·3
 2009 07  984.9
 2009 08  943.8
 2009 09  983·9
 2009 10  854.5
 2009 11  184·5
 2009 12  804.3
 2010 01 224·0
 2010 02 384·3
 2010 03 704.9
 2010 04 334·8
 2010 05 685.3
 2010 06 144.6
 2010 07 164·5
 2010 08 473.8
 2010 09 613·7
 2010 10 703·4
 2010 11 444.1
 2010 12 404·8
 2011 01  524.3
 2011 02  874·6
 2011 03  675.3
 2011 04  584.3
 2011 05  174·4
 2011 06  723·8
 2011 07  233·8
 2011 08  684.5
 2011 09  555·4
 2011 10  575.3
 2011 11  755·8
 2011 12  664·9
 2012 01 924.6
 2012 02 984.9
 2012 03 114·0
 2012 04 715·3
 2012 05 795.3
 2012 06 774·1
 2012 07 434.3
 2012 08 264·5
 2012 09 915.2
 2012 10 04.4
 2012 11 104·7
 2012 12 14.1
 2013 01  294.5
 2013 02  04·3
 2013 03  744·6
 2013 04  894.5
 2013 05  174.4
 2013 06  325.0
 2013 07  235·3
 2013 08  115·3
 2013 09  64.6
 2013 10  795·2
 2013 11  714.5
 2013 12  104.4
 2014 01 714.9
 2014 02 485·0
 2014 03 555·1
 2014 04 564.7
 2014 05 144.9
 2014 06 694·6
 2014 07 374·0
 2014 08 415·0
 2014 09 584·9
 2014 10 995.9
 2014 11 75.7
 2014 12 875.5
 2015 01  564.6
 2015 02  205.1
 2015 03  765.1
 2015 04  364·4
 2015 05  815.2
 2015 06  395·6
 2015 07  834·4
 2015 08  584.2
 2015 09  355.1
 2015 10  885.3
 2015 11  905·4
 2015 12  476·0
 2016 01 435.4
 2016 02 225·1
 2016 03 865.3
 2016 04 224.9
 2016 05 555·4
 2016 06 244.5
 2016 07 834.9
 2016 08 275·2
 2016 09 475·2
 2016 10 05·8
 2016 11 196.3
 2016 12 325·6
 2017 01  185·6
 2017 02  826.2
 2017 03  587·0
 2017 04  315.6
 2017 05  955.2
 2017 06  274·8


 2017 07  865·2
 2017 08  425.3
 2017 09  284·7
 2017 10  164·6
 2017 11  175·1
 2017 12  105.4
 2018 01 925.4
 2018 02 565·1
 2018 03 895.6
 2018 04 45·2
 2018 05 884·8
 2018 06 784.8
 2018 07 655·2
 2018 08 185·0
 2018 09 405·1
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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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