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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 15296.
 1994 02 27303.
 1994 03 62354·
 1994 04 99320·
 1994 05 38347·
 1994 06 84315.
 1994 07 42338.
 1994 08 49316·
 1994 09 21328·
 1994 10 33383.
 1994 11 17367·
 1994 12 92373.
 1995 01  15302·
 1995 02  55350·
 1995 03  99376.
 1995 04  71387·
 1995 05  95388.
 1995 06  59357·
 1995 07  26382·
 1995 08  56410.
 1995 09  60329.
 1995 10  74382·
 1995 11  62341.
 1995 12  41339.
 1996 01 38316.
 1996 02 58397·
 1996 03 94367·
 1996 04 45364.
 1996 05 78374.
 1996 06 93349·
 1996 07 35378.
 1996 08 12423·
 1996 09 55389.
 1996 10 85371.
 1996 11 23378.
 1996 12 12401·
 1997 01  69384·
 1997 02  65361·
 1997 03  21361.
 1997 04  37368·
 1997 05  47411·
 1997 06  91405·
 1997 07  16380.
 1997 08  8438·
 1997 09  39352·
 1997 10  43420.
 1997 11  23400·
 1997 12  69374·
 1998 01 20349·
 1998 02 30315.
 1998 03 78373.
 1998 04 89412·
 1998 05 90436·
 1998 06 81439·
 1998 07 44382.
 1998 08 62380·
 1998 09 74403.
 1998 10 55454·
 1998 11 10447.
 1998 12 6478.
 1999 01  24450.
 1999 02  32504.
 1999 03  88483·
 1999 04  67478.
 1999 05  15452.
 1999 06  19351·
 1999 07  16377·
 1999 08  14390.
 1999 09  46422.
 1999 10  48471.
 1999 11  57492·
 1999 12  40431·
 2000 01 44495·
 2000 02 76422.
 2000 03 99371·
 2000 04 64373·
 2000 05 59300·
 2000 06 84296.
 2000 07 55395·
 2000 08 32408.
 2000 09 65397·
 2000 10 78386·
 2000 11 63445·
 2000 12 11399.
 2001 01  65367·
 2001 02  91414·
 2001 03  85380·
 2001 04  96403·
 2001 05  82412·
 2001 06  79422.
 2001 07  9398.
 2001 08  7346·
 2001 09  67358.
 2001 10  23323.
 2001 11  49348.
 2001 12  87385·
 2002 01 96359·
 2002 02 31377.
 2002 03 43293.
 2002 04 6382.
 2002 05 69330·
 2002 06 34385.
 2002 07 52349·
 2002 08 57294·
 2002 09 12340·
 2002 10 88324·
 2002 11 65331.
 2002 12 60349.
 2003 01  74336.
 2003 02  75338.
 2003 03  96339·
 2003 04  59319.
 2003 05  32317.
 2003 06  3307.
 2003 07  81371.
 2003 08  23325·
 2003 09  85345.
 2003 10  2360.
 2003 11  84286·
 2003 12  46289·
 2004 01 60333.
 2004 02 29310.
 2004 03 92385.
 2004 04 47348.
 2004 05 5384·
 2004 06 66330·
 2004 07 19346.
 2004 08 71331·
 2004 09 98348·
 2004 10 19416.
 2004 11 2401·
 2004 12 87390·
 2005 01  38367.
 2005 02  21345·
 2005 03  5344.
 2005 04  88324·
 2005 05  50361.
 2005 06  27391·
 2005 07  15393.
 2005 08  95365.
 2005 09  85369.
 2005 10  19364.
 2005 11  44377.
 2005 12  50356·
 2006 01 19387.
 2006 02 5421·
 2006 03 32396.
 2006 04 23386.
 2006 05 52461.
 2006 06 15403·
 2006 07 41391.
 2006 08 9381.
 2006 09 8394·
 2006 10 7364·
 2006 11 58405·
 2006 12 27453·
 2007 01  39380·
 2007 02  61349·
 2007 03  97359·
 2007 04  20406·
 2007 05  20341.
 2007 06  85408.
 2007 07  95376·
 2007 08  58344·
 2007 09  52363.
 2007 10  10376.
 2007 11  16423.
 2007 12  34370.
 2008 01 59395·
 2008 02 93357.
 2008 03 47390·
 2008 04 69390·
 2008 05 92382.
 2008 06 15355·
 2008 07 1429.
 2008 08 6409.
 2008 09 27344.
 2008 10 84329.
 2008 11 17351·
 2008 12 14316·
 2009 01  64371·
 2009 02  30361·
 2009 03  56347.
 2009 04  88360.
 2009 05  27307·
 2009 06  11299·
 2009 07  7343.
 2009 08  46264·
 2009 09  69264·
 2009 10  8309·
 2009 11  83309.
 2009 12  33294.
 2010 01 64262·
 2010 02 27284.
 2010 03 21327·
 2010 04 18329.
 2010 05 12369·
 2010 06 1318.
 2010 07 85315·
 2010 08 95268·
 2010 09 39251.
 2010 10 86237.
 2010 11 63288.
 2010 12 83333·
 2011 01  95291·
 2011 02  63315.
 2011 03  67363.
 2011 04  26296·
 2011 05  56299.
 2011 06  40266.
 2011 07  34268·
 2011 08  94316.
 2011 09  21375·
 2011 10  47377.
 2011 11  29410·
 2011 12  80354.
 2012 01 17333.
 2012 02 42352.
 2012 03 39290.
 2012 04 4380.
 2012 05 94389.
 2012 06 7307.
 2012 07 77318·
 2012 08 10331·
 2012 09 28374.
 2012 10 47327.
 2012 11 81347·
 2012 12 67301·
 2013 01  17327.
 2013 02  94322·
 2013 03  13348·
 2013 04  69337.
 2013 05  89328·
 2013 06  6379.
 2013 07  62406.
 2013 08  36391·
 2013 09  93346·
 2013 10  63396·
 2013 11  40342.
 2013 12  11329·
 2014 01 5368.
 2014 02 73370.
 2014 03 85387·
 2014 04 63365·
 2014 05 25376.
 2014 06 66367.
 2014 07 61324·
 2014 08 87393·
 2014 09 78391.
 2014 10 1475·
 2014 11 55456.
 2014 12 2437·
 2015 01  16365.
 2015 02  57402·
 2015 03  80405·
 2015 04  52369·
 2015 05  12425·
 2015 06  43459.
 2015 07  73362.
 2015 08  6342·
 2015 09  69418.
 2015 10  89436.
 2015 11  99443·
 2015 12  59496·
 2016 01 10444.
 2016 02 52418.
 2016 03 44442.
 2016 04 28411·
 2016 05 87455.
 2016 06 15389.
 2016 07 22422.
 2016 08 60448·
 2016 09 75441·
 2016 10 82491.
 2016 11 70545·
 2016 12 22479·
 2017 01  74477·
 2017 02  87523.
 2017 03  51594·
 2017 04  9487.
 2017 05  10452.
 2017 06  86424·
 2017 07  54463·
 2017 08  39462.
 2017 09  32424.


 2017 10  60406.
 2017 11  90445.
 2017 12  58476·
 2018 01 18471.
 2018 02 16462.
 2018 03 99500.
 2018 04 35462.
 2018 05 66434·
 2018 06 86432·
 2018 07 43476·
 2018 08 62454·
 2018 09 2460.
 2018 10 26507.
 2018 11 9487·
 2018 12 60487·
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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

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