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 Series Title: Employment Level: Multiple Jobholders 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 50296.
 1994 02 97303.
 1994 03 81354.
 1994 04 68320·
 1994 05 48347·
 1994 06 12315.
 1994 07 54338·
 1994 08 97316.
 1994 09 44328.
 1994 10 58383·
 1994 11 59367·
 1994 12 55373.
 1995 01  87302.
 1995 02  15350·
 1995 03  10376.
 1995 04  87387.
 1995 05  54388.
 1995 06  90357.
 1995 07  43382·
 1995 08  63410.
 1995 09  45329·
 1995 10  15382·
 1995 11  23341·
 1995 12  75339.
 1996 01 85316.
 1996 02 45397.
 1996 03 36367·
 1996 04 45364·
 1996 05 24374·
 1996 06 64349.
 1996 07 95378.
 1996 08 15423.
 1996 09 39389·
 1996 10 78371.
 1996 11 39378·
 1996 12 54401.
 1997 01  28384·
 1997 02  17361·
 1997 03  31361·
 1997 04  58368·
 1997 05  19411.
 1997 06  40405.
 1997 07  58380.
 1997 08  45438.
 1997 09  60352.
 1997 10  26420·
 1997 11  33400.
 1997 12  58374.
 1998 01 28349·
 1998 02 84315.
 1998 03 94373·
 1998 04 69412.
 1998 05 23436.
 1998 06 45439·
 1998 07 4382.
 1998 08 69380.
 1998 09 70403·
 1998 10 65454·
 1998 11 50447·
 1998 12 79478.
 1999 01  20450·
 1999 02  27504.
 1999 03  47483.
 1999 04  43478.
 1999 05  47452·
 1999 06  36351·
 1999 07  31377·
 1999 08  30390·
 1999 09  54422.
 1999 10  24471·
 1999 11  66492·
 1999 12  34431.
 2000 01 64495·
 2000 02 48422·
 2000 03 39371·
 2000 04 74373·
 2000 05 28300.
 2000 06 90296.
 2000 07 63395.
 2000 08 94408·
 2000 09 22397.
 2000 10 56386.
 2000 11 77445·
 2000 12 64399.
 2001 01  46367·
 2001 02  78414·
 2001 03  43380·
 2001 04  77403·
 2001 05  25412.
 2001 06  12422.
 2001 07  48398·
 2001 08  53346.
 2001 09  11358.
 2001 10  41323.
 2001 11  7348.
 2001 12  36385·
 2002 01 77359·
 2002 02 71377.
 2002 03 56293·
 2002 04 95382.
 2002 05 25330·
 2002 06 33385·
 2002 07 59349.
 2002 08 24294·
 2002 09 80340·
 2002 10 84324.
 2002 11 4331·
 2002 12 43349·
 2003 01  92336.
 2003 02  5338.
 2003 03  2339.
 2003 04  95319·
 2003 05  37317·
 2003 06  4307·
 2003 07  94371.
 2003 08  49325·
 2003 09  15345.
 2003 10  13360.
 2003 11  40286.
 2003 12  0289.
 2004 01 52333·
 2004 02 86310·
 2004 03 29385.
 2004 04 67348·
 2004 05 97384·
 2004 06 8330·
 2004 07 75346·
 2004 08 94331.
 2004 09 27348·
 2004 10 83416.
 2004 11 14401·
 2004 12 50390.
 2005 01  42367·
 2005 02  43345.
 2005 03  10344·
 2005 04  29324·
 2005 05  66361.
 2005 06  46391.
 2005 07  51393.
 2005 08  51365.
 2005 09  52369.
 2005 10  73364.
 2005 11  50377·
 2005 12  59356.
 2006 01 73387.
 2006 02 30421·
 2006 03 43396·
 2006 04 23386·
 2006 05 30461.
 2006 06 49403.
 2006 07 96391.
 2006 08 37381.
 2006 09 49394·
 2006 10 87364.
 2006 11 94405.
 2006 12 20453·
 2007 01  80380·
 2007 02  26349·
 2007 03  51359·
 2007 04  16406·
 2007 05  98341·
 2007 06  71408·
 2007 07  6376.
 2007 08  94344·
 2007 09  4363·
 2007 10  56376·
 2007 11  20423.
 2007 12  49370.
 2008 01 24395·
 2008 02 35357.
 2008 03 82390·
 2008 04 99390.
 2008 05 7382·
 2008 06 92355.
 2008 07 5429·
 2008 08 89409.
 2008 09 29344·
 2008 10 32329.
 2008 11 26351·
 2008 12 87316·
 2009 01  90371.
 2009 02  88361.
 2009 03  9347.
 2009 04  89360·
 2009 05  17307.
 2009 06  15299·
 2009 07  41343.
 2009 08  12264.
 2009 09  58264.
 2009 10  96309·
 2009 11  36309·
 2009 12  2294·
 2010 01 90262.
 2010 02 37284·
 2010 03 30327.
 2010 04 28329·
 2010 05 13369.
 2010 06 70318·
 2010 07 88315.
 2010 08 82268·
 2010 09 52251·
 2010 10 52237.
 2010 11 96288·
 2010 12 86333·
 2011 01  58291.
 2011 02  63315·
 2011 03  69363·
 2011 04  82296·
 2011 05  6299.
 2011 06  12266.
 2011 07  43268·
 2011 08  40316·
 2011 09  97375.
 2011 10  28377·
 2011 11  81410.
 2011 12  55354.
 2012 01 55333.
 2012 02 70352·
 2012 03 72290.
 2012 04 44380.
 2012 05 32389·
 2012 06 18307·
 2012 07 29318·
 2012 08 53331·
 2012 09 2374.
 2012 10 80327.
 2012 11 88347.
 2012 12 51301.
 2013 01  67327.
 2013 02  87322.
 2013 03  14348·
 2013 04  31337·
 2013 05  51328.
 2013 06  95379.
 2013 07  94406·
 2013 08  13391·
 2013 09  5346.
 2013 10  87396.
 2013 11  40342.
 2013 12  40329.
 2014 01 4368·
 2014 02 68370.
 2014 03 92387.
 2014 04 83365·
 2014 05 48376.
 2014 06 71367·
 2014 07 11324·
 2014 08 35393·
 2014 09 64391.
 2014 10 52475.
 2014 11 86456·
 2014 12 16437.
 2015 01  1365·
 2015 02  93402.
 2015 03  29405·
 2015 04  69369.
 2015 05  35425·
 2015 06  0459·
 2015 07  79362.
 2015 08  63342.
 2015 09  66418.
 2015 10  5436.
 2015 11  98443·
 2015 12  93496·
 2016 01 20444.
 2016 02 65418.
 2016 03 74442.
 2016 04 79411.
 2016 05 47455·
 2016 06 62389.
 2016 07 20422.
 2016 08 63448·
 2016 09 22441.
 2016 10 1491.
 2016 11 75545·
 2016 12 15479.
 2017 01  46477·
 2017 02  15523.
 2017 03  0594·
 2017 04  30487·


 2017 05  44452·
 2017 06  61424.
 2017 07  83463·
 2017 08  26462.
 2017 09  67424.
 2017 10  19406·
 2017 11  39445·
 2017 12  48476·
 2018 01 89471.
 2018 02 97462·
 2018 03 3500·
 2018 04 65462·
 2018 05 12434·
 2018 06 26432.
 2018 07 41476.
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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: Employment Level: Multiple Jobholders 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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