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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 31296·
 1994 02 20303.
 1994 03 26354·
 1994 04 96320.
 1994 05 99347·
 1994 06 8315·
 1994 07 98338.
 1994 08 74316·
 1994 09 20328·
 1994 10 81383·
 1994 11 58367·
 1994 12 38373·
 1995 01  46302.
 1995 02  22350.
 1995 03  19376·
 1995 04  32387·
 1995 05  52388·
 1995 06  37357.
 1995 07  19382·
 1995 08  26410·
 1995 09  38329.
 1995 10  59382·
 1995 11  22341·
 1995 12  14339·
 1996 01 29316.
 1996 02 42397·
 1996 03 14367·
 1996 04 14364·
 1996 05 76374·
 1996 06 70349·
 1996 07 9378·
 1996 08 71423.
 1996 09 54389.
 1996 10 49371·
 1996 11 45378·
 1996 12 54401.
 1997 01  64384.
 1997 02  10361·
 1997 03  85361·
 1997 04  58368.
 1997 05  30411.
 1997 06  10405·
 1997 07  16380·
 1997 08  0438.
 1997 09  4352·
 1997 10  31420.
 1997 11  52400.
 1997 12  26374·
 1998 01 61349.
 1998 02 80315·
 1998 03 29373.
 1998 04 5412.
 1998 05 1436.
 1998 06 87439.
 1998 07 13382.
 1998 08 30380·
 1998 09 49403·
 1998 10 10454·
 1998 11 89447·
 1998 12 21478·
 1999 01  56450.
 1999 02  30504·
 1999 03  71483·
 1999 04  23478·
 1999 05  98452.
 1999 06  55351.
 1999 07  97377·
 1999 08  3390·
 1999 09  74422.
 1999 10  14471·
 1999 11  30492.
 1999 12  56431·
 2000 01 11495.
 2000 02 66422.
 2000 03 57371·
 2000 04 2373.
 2000 05 57300.
 2000 06 92296·
 2000 07 93395·
 2000 08 85408·
 2000 09 90397.
 2000 10 99386.
 2000 11 73445.
 2000 12 73399.
 2001 01  9367.
 2001 02  17414·
 2001 03  62380.
 2001 04  61403·
 2001 05  40412.
 2001 06  5422·
 2001 07  47398·
 2001 08  68346·
 2001 09  32358·
 2001 10  42323·
 2001 11  41348.
 2001 12  38385·
 2002 01 63359·
 2002 02 37377·
 2002 03 82293·
 2002 04 41382.
 2002 05 31330.
 2002 06 21385·
 2002 07 33349·
 2002 08 70294·
 2002 09 62340.
 2002 10 50324.
 2002 11 82331·
 2002 12 44349.
 2003 01  6336·
 2003 02  5338·
 2003 03  42339.
 2003 04  8319.
 2003 05  40317·
 2003 06  95307.
 2003 07  50371·
 2003 08  31325·
 2003 09  63345·
 2003 10  50360.
 2003 11  69286.
 2003 12  6289.
 2004 01 1333·
 2004 02 26310·
 2004 03 88385·
 2004 04 54348·
 2004 05 4384·
 2004 06 6330.
 2004 07 19346.
 2004 08 19331.
 2004 09 48348·
 2004 10 97416.
 2004 11 1401.
 2004 12 68390·
 2005 01  33367.
 2005 02  29345.
 2005 03  95344·
 2005 04  97324·
 2005 05  84361·
 2005 06  60391.
 2005 07  90393·
 2005 08  25365.
 2005 09  51369·
 2005 10  70364·
 2005 11  99377·
 2005 12  95356·
 2006 01 11387.
 2006 02 68421·
 2006 03 60396·
 2006 04 78386.
 2006 05 63461.
 2006 06 84403·
 2006 07 35391.
 2006 08 66381·
 2006 09 33394.
 2006 10 75364·
 2006 11 13405·
 2006 12 80453·
 2007 01  72380.
 2007 02  22349.
 2007 03  6359·
 2007 04  63406·
 2007 05  54341·
 2007 06  33408.
 2007 07  52376·
 2007 08  85344.
 2007 09  80363.
 2007 10  39376·
 2007 11  15423·
 2007 12  39370·
 2008 01 76395.
 2008 02 97357·
 2008 03 81390.
 2008 04 45390.
 2008 05 92382·
 2008 06 87355·
 2008 07 65429.
 2008 08 47409·
 2008 09 2344·
 2008 10 18329·
 2008 11 3351·
 2008 12 14316.
 2009 01  9371·
 2009 02  20361.
 2009 03  59347.
 2009 04  40360.
 2009 05  36307.
 2009 06  50299·
 2009 07  20343.
 2009 08  45264·
 2009 09  35264·
 2009 10  90309.
 2009 11  0309.
 2009 12  72294.
 2010 01 81262·
 2010 02 47284·
 2010 03 37327·
 2010 04 91329·
 2010 05 74369·
 2010 06 51318·
 2010 07 93315·
 2010 08 96268.
 2010 09 39251·
 2010 10 61237.
 2010 11 55288·
 2010 12 5333·
 2011 01  28291·
 2011 02  56315.
 2011 03  38363·
 2011 04  63296·
 2011 05  15299.
 2011 06  45266.
 2011 07  79268.
 2011 08  40316·
 2011 09  0375.
 2011 10  58377·
 2011 11  41410.
 2011 12  29354·
 2012 01 10333.
 2012 02 53352·
 2012 03 11290·
 2012 04 50380·
 2012 05 94389·
 2012 06 10307.
 2012 07 3318.
 2012 08 46331.
 2012 09 28374·
 2012 10 37327.
 2012 11 55347·
 2012 12 87301.
 2013 01  13327.
 2013 02  66322.
 2013 03  29348·
 2013 04  66337·
 2013 05  73328.
 2013 06  52379·
 2013 07  13406.
 2013 08  4391.
 2013 09  60346.
 2013 10  77396·
 2013 11  20342·
 2013 12  44329·
 2014 01 48368.
 2014 02 49370.
 2014 03 89387.
 2014 04 56365·
 2014 05 37376.
 2014 06 98367.
 2014 07 81324.
 2014 08 32393·
 2014 09 54391·
 2014 10 82475.
 2014 11 85456.
 2014 12 94437.
 2015 01  49365.
 2015 02  82402·
 2015 03  14405·
 2015 04  84369.
 2015 05  97425.
 2015 06  5459·
 2015 07  6362.
 2015 08  72342·
 2015 09  98418.
 2015 10  82436.
 2015 11  23443.
 2015 12  52496·
 2016 01 78444.
 2016 02 70418.
 2016 03 54442.
 2016 04 43411·
 2016 05 87455.
 2016 06 50389·
 2016 07 11422.
 2016 08 89448.
 2016 09 1441·
 2016 10 30491.
 2016 11 32545.
 2016 12 60479·
 2017 01  20477.
 2017 02  40523·
 2017 03  80594.
 2017 04  50487.
 2017 05  69452·
 2017 06  39424·


 2017 07  43463·
 2017 08  77462.
 2017 09  99424.
 2017 10  6406.
 2017 11  34445.
 2017 12  86476·
 2018 01 86471.
 2018 02 49462.
 2018 03 90500·
 2018 04 46462.
 2018 05 28434·
 2018 06 0432.
 2018 07 76476·
 2018 08 52454·
 2018 09 53460·
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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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