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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 75341·
 1994 02 14374.
 1994 03 67434.
 1994 04 57385·
 1994 05 29451.
 1994 06 30462·
 1994 07 11419·
 1994 08 52424·
 1994 09 11444·
 1994 10 8506·
 1994 11 19471.
 1994 12 8428·
 1995 01  73399.
 1995 02  28397.
 1995 03  4374·
 1995 04  69392·
 1995 05  89363·
 1995 06  98439.
 1995 07  2481.
 1995 08  5473.
 1995 09  60406·
 1995 10  48403·
 1995 11  77333·
 1995 12  9391.
 1996 01 12363·
 1996 02 36377·
 1996 03 18358·
 1996 04 1342.
 1996 05 94405.
 1996 06 44420.
 1996 07 36440·
 1996 08 25366·
 1996 09 83386·
 1996 10 77420·
 1996 11 70408·
 1996 12 50414·
 1997 01  78323.
 1997 02  67366.
 1997 03  83382.
 1997 04  70401.
 1997 05  5475·
 1997 06  72451.
 1997 07  62432·
 1997 08  5379·
 1997 09  15340.
 1997 10  72335·
 1997 11  21368.
 1997 12  97374·
 1998 01 82318·
 1998 02 75395·
 1998 03 97319.
 1998 04 18358.
 1998 05 7390·
 1998 06 11373.
 1998 07 53368·
 1998 08 60378·
 1998 09 16367·
 1998 10 39336.
 1998 11 77421·
 1998 12 43338·
 1999 01  59346.
 1999 02  38423.
 1999 03  82394.
 1999 04  11286.
 1999 05  11290.
 1999 06  17343·
 1999 07  6367·
 1999 08  33316.
 1999 09  73304.
 1999 10  6366·
 1999 11  12323·
 1999 12  3336.
 2000 01 70337.
 2000 02 62339.
 2000 03 88337·
 2000 04 41353.
 2000 05 52333·
 2000 06 67353·
 2000 07 46346.
 2000 08 90312.
 2000 09 96316·
 2000 10 28305·
 2000 11 25288.
 2000 12 20325·
 2001 01  0296.
 2001 02  76308.
 2001 03  86262.
 2001 04  25328·
 2001 05  91350·
 2001 06  68397·
 2001 07  20405·
 2001 08  24336·
 2001 09  20325·
 2001 10  85299·
 2001 11  37305·
 2001 12  61362.
 2002 01 60294.
 2002 02 34278·
 2002 03 76378·
 2002 04 5317·
 2002 05 14308·
 2002 06 47382.
 2002 07 0350·
 2002 08 51311.
 2002 09 6333.
 2002 10 80363.
 2002 11 97349·
 2002 12 17357.
 2003 01  86287·
 2003 02  15367.
 2003 03  80394·
 2003 04  48399·
 2003 05  30395·
 2003 06  59427·
 2003 07  86338·
 2003 08  12320·
 2003 09  39312·
 2003 10  43312·
 2003 11  78336.
 2003 12  5311·
 2004 01 37364.
 2004 02 24379.
 2004 03 45367.
 2004 04 44348.
 2004 05 76324.
 2004 06 83384·
 2004 07 99463.
 2004 08 75388.
 2004 09 30356.
 2004 10 28396·
 2004 11 79358·
 2004 12 67395.
 2005 01  0331.
 2005 02  89388·
 2005 03  46360.
 2005 04  13314·
 2005 05  12333.
 2005 06  24428.
 2005 07  89427.
 2005 08  32397·
 2005 09  15342·
 2005 10  14395.
 2005 11  21375·
 2005 12  69383·
 2006 01 85343·
 2006 02 66297·
 2006 03 80333.
 2006 04 94344·
 2006 05 23328·
 2006 06 11390.
 2006 07 28337·
 2006 08 99346.
 2006 09 54335.
 2006 10 7331.
 2006 11 54329.
 2006 12 4383.
 2007 01  28283.
 2007 02  33276·
 2007 03  70291·
 2007 04  54284.
 2007 05  21311·
 2007 06  99334·
 2007 07  15382.
 2007 08  18253.
 2007 09  32321·
 2007 10  34337.
 2007 11  50334.
 2007 12  89306·
 2008 01 89273·
 2008 02 96258.
 2008 03 65309.
 2008 04 87287·
 2008 05 40310.
 2008 06 66339·
 2008 07 71397·
 2008 08 56398·
 2008 09 61351.
 2008 10 50367·
 2008 11 8337·
 2008 12 64323·
 2009 01  53267.
 2009 02  82323.
 2009 03  37314·
 2009 04  8294·
 2009 05  41270·
 2009 06  16348.
 2009 07  46322.
 2009 08  4286·
 2009 09  76310·
 2009 10  36297.
 2009 11  49338·
 2009 12  98316·
 2010 01 32235·
 2010 02 47264·
 2010 03 84267·
 2010 04 58256·
 2010 05 10303.
 2010 06 80306.
 2010 07 12299·
 2010 08 80325·
 2010 09 36281·
 2010 10 94315·
 2010 11 23337.
 2010 12 81277.
 2011 01  60287.
 2011 02  69289.
 2011 03  29258.
 2011 04  6272.
 2011 05  58289.
 2011 06  12284.
 2011 07  68291·
 2011 08  25288·
 2011 09  29264.
 2011 10  54299.
 2011 11  3293.
 2011 12  31410·
 2012 01 99292.
 2012 02 53306.
 2012 03 21283·
 2012 04 43250·
 2012 05 19279·
 2012 06 90276·
 2012 07 36278.
 2012 08 6287.
 2012 09 64353.
 2012 10 71289·
 2012 11 86321.
 2012 12 88358·
 2013 01  34284.
 2013 02  29331.
 2013 03  33295.
 2013 04  85290.
 2013 05  55322.
 2013 06  19417·
 2013 07  65348.
 2013 08  15343.
 2013 09  77364.
 2013 10  24313.
 2013 11  96362.
 2013 12  21295.
 2014 01 75314.
 2014 02 50330.
 2014 03 62345·
 2014 04 75327·
 2014 05 50335·
 2014 06 29366.
 2014 07 28388·
 2014 08 68358.
 2014 09 28309.
 2014 10 17399.
 2014 11 80373·
 2014 12 21309.
 2015 01  58327·
 2015 02  96348.
 2015 03  32332·
 2015 04  78299.
 2015 05  16301·
 2015 06  73341.
 2015 07  22360·
 2015 08  8336.
 2015 09  3275.
 2015 10  79318·
 2015 11  12355·
 2015 12  5350·
 2016 01 44317·
 2016 02 72292.
 2016 03 90354.
 2016 04 88332·
 2016 05 89296·
 2016 06 31331.
 2016 07 70347.
 2016 08 1348·
 2016 09 13351.
 2016 10 65351·
 2016 11 89382.
 2016 12 14315·
 2017 01  17310·
 2017 02  5350.
 2017 03  10384.
 2017 04  20370·


 2017 05  27300·
 2017 06  8376.
 2017 07  22412·
 2017 08  39389·
 2017 09  93404.
 2017 10  54352·
 2017 11  36348·
 2017 12  15314.
 2018 01 90354·
 2018 02 52391·
 2018 03 90370·
 2018 04 17334.
 2018 05 18320.
 2018 06 32289·
 2018 07 49344·
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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

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