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 Series Title: Employment Level: Multiple Jobholders 20-24 years, 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 3341·
 1994 02 21374·
 1994 03 23434·
 1994 04 62385·
 1994 05 15451.
 1994 06 60462·
 1994 07 79419.
 1994 08 82424.
 1994 09 61444.
 1994 10 66506·
 1994 11 4471·
 1994 12 70428·
 1995 01  94399.
 1995 02  21397·
 1995 03  12374·
 1995 04  69392.
 1995 05  87363.
 1995 06  32439·
 1995 07  41481.
 1995 08  49473.
 1995 09  42406.
 1995 10  30403·
 1995 11  53333·
 1995 12  4391·
 1996 01 83363·
 1996 02 72377.
 1996 03 36358·
 1996 04 53342.
 1996 05 61405·
 1996 06 39420·
 1996 07 3440.
 1996 08 40366·
 1996 09 52386.
 1996 10 38420.
 1996 11 92408.
 1996 12 34414.
 1997 01  55323.
 1997 02  0366·
 1997 03  66382.
 1997 04  30401·
 1997 05  97475.
 1997 06  84451·
 1997 07  13432·
 1997 08  46379·
 1997 09  27340·
 1997 10  69335·
 1997 11  46368·
 1997 12  26374·
 1998 01 22318·
 1998 02 63395.
 1998 03 2319·
 1998 04 41358.
 1998 05 80390·
 1998 06 97373·
 1998 07 45368·
 1998 08 84378·
 1998 09 29367·
 1998 10 27336.
 1998 11 62421·
 1998 12 73338·
 1999 01  17346·
 1999 02  37423·
 1999 03  66394·
 1999 04  54286·
 1999 05  22290.
 1999 06  32343.
 1999 07  95367·
 1999 08  96316·
 1999 09  42304·
 1999 10  43366·
 1999 11  12323·
 1999 12  91336.
 2000 01 3337.
 2000 02 28339·
 2000 03 6337.
 2000 04 61353.
 2000 05 56333·
 2000 06 68353.
 2000 07 88346.
 2000 08 48312·
 2000 09 77316·
 2000 10 70305.
 2000 11 96288.
 2000 12 22325.
 2001 01  65296.
 2001 02  65308.
 2001 03  95262.
 2001 04  78328.
 2001 05  45350.
 2001 06  10397·
 2001 07  70405.
 2001 08  33336·
 2001 09  69325·
 2001 10  87299·
 2001 11  37305.
 2001 12  33362.
 2002 01 12294.
 2002 02 3278.
 2002 03 31378·
 2002 04 47317·
 2002 05 74308.
 2002 06 88382.
 2002 07 17350·
 2002 08 68311·
 2002 09 80333.
 2002 10 0363.
 2002 11 81349.
 2002 12 16357.
 2003 01  81287.
 2003 02  20367·
 2003 03  38394.
 2003 04  34399·
 2003 05  53395.
 2003 06  54427.
 2003 07  24338·
 2003 08  93320.
 2003 09  95312.
 2003 10  36312.
 2003 11  3336.
 2003 12  86311·
 2004 01 33364·
 2004 02 20379·
 2004 03 63367·
 2004 04 33348.
 2004 05 17324·
 2004 06 90384·
 2004 07 16463.
 2004 08 77388·
 2004 09 23356·
 2004 10 50396·
 2004 11 0358·
 2004 12 87395.
 2005 01  52331.
 2005 02  34388.
 2005 03  79360·
 2005 04  59314·
 2005 05  28333.
 2005 06  98428.
 2005 07  40427.
 2005 08  10397·
 2005 09  2342.
 2005 10  23395.
 2005 11  96375.
 2005 12  85383.
 2006 01 49343.
 2006 02 16297·
 2006 03 85333·
 2006 04 54344.
 2006 05 70328.
 2006 06 8390·
 2006 07 69337·
 2006 08 9346·
 2006 09 91335.
 2006 10 57331·
 2006 11 38329·
 2006 12 72383.
 2007 01  60283·
 2007 02  44276.
 2007 03  3291·
 2007 04  85284.
 2007 05  55311.
 2007 06  75334·
 2007 07  2382.
 2007 08  17253.
 2007 09  75321·
 2007 10  83337.
 2007 11  99334·
 2007 12  64306.
 2008 01 46273·
 2008 02 23258·
 2008 03 82309·
 2008 04 44287·
 2008 05 18310·
 2008 06 78339·
 2008 07 62397·
 2008 08 0398.
 2008 09 66351·
 2008 10 54367·
 2008 11 79337·
 2008 12 3323.
 2009 01  92267.
 2009 02  83323.
 2009 03  94314.
 2009 04  47294.
 2009 05  19270·
 2009 06  21348·
 2009 07  96322·
 2009 08  50286·
 2009 09  0310·
 2009 10  50297.
 2009 11  98338.
 2009 12  57316.
 2010 01 8235.
 2010 02 77264.
 2010 03 38267.
 2010 04 37256·
 2010 05 45303·
 2010 06 33306·
 2010 07 78299.
 2010 08 84325·
 2010 09 35281.
 2010 10 75315·
 2010 11 7337.
 2010 12 17277.
 2011 01  30287.
 2011 02  85289·
 2011 03  37258·
 2011 04  80272·
 2011 05  4289.
 2011 06  69284.
 2011 07  6291.
 2011 08  43288.
 2011 09  59264·
 2011 10  59299.
 2011 11  77293·
 2011 12  99410·
 2012 01 19292·
 2012 02 12306.
 2012 03 38283·
 2012 04 68250.
 2012 05 34279.
 2012 06 8276·
 2012 07 2278.
 2012 08 94287.
 2012 09 81353.
 2012 10 56289.
 2012 11 7321·
 2012 12 46358·
 2013 01  59284·
 2013 02  86331·
 2013 03  15295.
 2013 04  18290·
 2013 05  95322·
 2013 06  55417.
 2013 07  15348·
 2013 08  29343·
 2013 09  38364·
 2013 10  44313·
 2013 11  19362·
 2013 12  24295·
 2014 01 63314·
 2014 02 62330·
 2014 03 66345·
 2014 04 71327.
 2014 05 72335.
 2014 06 38366·
 2014 07 18388·
 2014 08 65358.
 2014 09 89309.
 2014 10 29399.
 2014 11 63373·
 2014 12 25309·
 2015 01  65327.
 2015 02  19348·
 2015 03  14332·
 2015 04  95299·
 2015 05  75301·
 2015 06  12341·
 2015 07  9360.
 2015 08  44336·
 2015 09  20275.
 2015 10  40318.
 2015 11  10355·
 2015 12  66350.
 2016 01 25317.
 2016 02 61292·
 2016 03 7354.
 2016 04 81332.
 2016 05 41296.
 2016 06 56331.
 2016 07 10347·
 2016 08 32348·
 2016 09 42351.
 2016 10 31351.
 2016 11 60382·
 2016 12 89315·
 2017 01  30310·
 2017 02  18350.
 2017 03  17384·
 2017 04  46370·
 2017 05  30300.
 2017 06  74376·


 2017 07  71412.
 2017 08  22389.
 2017 09  91404.
 2017 10  81352·
 2017 11  34348·
 2017 12  61314.
 2018 01 90354·
 2018 02 44391.
 2018 03 44370·
 2018 04 32334·
 2018 05 27320·
 2018 06 96289·
 2018 07 64344.
 2018 08 30340·
 2018 09 26320.
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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 20-24 years, 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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