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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 13341·
 1994 02 36374.
 1994 03 11434·
 1994 04 25385·
 1994 05 83451·
 1994 06 97462·
 1994 07 79419.
 1994 08 70424.
 1994 09 95444·
 1994 10 32506·
 1994 11 22471.
 1994 12 90428·
 1995 01  98399.
 1995 02  22397·
 1995 03  54374·
 1995 04  27392·
 1995 05  68363.
 1995 06  74439.
 1995 07  13481·
 1995 08  51473·
 1995 09  6406.
 1995 10  19403·
 1995 11  61333·
 1995 12  57391.
 1996 01 37363·
 1996 02 14377·
 1996 03 87358.
 1996 04 62342.
 1996 05 11405·
 1996 06 41420·
 1996 07 3440.
 1996 08 12366.
 1996 09 3386.
 1996 10 6420·
 1996 11 47408·
 1996 12 76414.
 1997 01  15323.
 1997 02  42366·
 1997 03  83382·
 1997 04  47401·
 1997 05  72475·
 1997 06  3451·
 1997 07  98432.
 1997 08  45379·
 1997 09  23340·
 1997 10  73335.
 1997 11  4368·
 1997 12  13374.
 1998 01 44318·
 1998 02 58395·
 1998 03 40319·
 1998 04 22358·
 1998 05 36390.
 1998 06 90373·
 1998 07 69368·
 1998 08 65378.
 1998 09 24367.
 1998 10 24336·
 1998 11 79421·
 1998 12 62338·
 1999 01  58346.
 1999 02  44423·
 1999 03  82394·
 1999 04  56286·
 1999 05  15290.
 1999 06  54343.
 1999 07  17367·
 1999 08  16316·
 1999 09  93304·
 1999 10  88366.
 1999 11  45323.
 1999 12  38336·
 2000 01 19337.
 2000 02 2339·
 2000 03 56337.
 2000 04 39353.
 2000 05 43333·
 2000 06 77353.
 2000 07 62346·
 2000 08 64312.
 2000 09 41316·
 2000 10 20305.
 2000 11 1288·
 2000 12 83325·
 2001 01  12296.
 2001 02  62308·
 2001 03  36262·
 2001 04  88328·
 2001 05  82350·
 2001 06  61397·
 2001 07  54405.
 2001 08  1336·
 2001 09  2325·
 2001 10  98299.
 2001 11  69305.
 2001 12  64362.
 2002 01 47294·
 2002 02 79278.
 2002 03 19378.
 2002 04 46317·
 2002 05 17308·
 2002 06 37382·
 2002 07 66350.
 2002 08 43311.
 2002 09 37333·
 2002 10 27363.
 2002 11 98349·
 2002 12 72357.
 2003 01  59287·
 2003 02  32367·
 2003 03  29394.
 2003 04  79399.
 2003 05  58395·
 2003 06  58427.
 2003 07  95338·
 2003 08  32320·
 2003 09  33312.
 2003 10  37312.
 2003 11  60336·
 2003 12  26311.
 2004 01 11364.
 2004 02 25379·
 2004 03 13367·
 2004 04 79348·
 2004 05 41324.
 2004 06 4384·
 2004 07 65463·
 2004 08 36388.
 2004 09 99356.
 2004 10 81396·
 2004 11 54358.
 2004 12 66395·
 2005 01  86331·
 2005 02  87388.
 2005 03  45360·
 2005 04  63314·
 2005 05  27333·
 2005 06  79428·
 2005 07  23427.
 2005 08  46397·
 2005 09  71342.
 2005 10  39395·
 2005 11  3375.
 2005 12  59383.
 2006 01 96343·
 2006 02 73297.
 2006 03 22333.
 2006 04 72344·
 2006 05 0328·
 2006 06 13390.
 2006 07 43337.
 2006 08 78346·
 2006 09 10335.
 2006 10 16331·
 2006 11 54329·
 2006 12 97383·
 2007 01  76283·
 2007 02  62276·
 2007 03  68291·
 2007 04  73284.
 2007 05  73311·
 2007 06  60334·
 2007 07  23382·
 2007 08  75253.
 2007 09  1321·
 2007 10  40337.
 2007 11  82334·
 2007 12  97306·
 2008 01 86273·
 2008 02 59258.
 2008 03 31309.
 2008 04 58287.
 2008 05 79310.
 2008 06 98339·
 2008 07 86397.
 2008 08 3398·
 2008 09 54351·
 2008 10 65367.
 2008 11 82337·
 2008 12 0323.
 2009 01  13267.
 2009 02  92323·
 2009 03  84314.
 2009 04  44294·
 2009 05  80270.
 2009 06  33348.
 2009 07  79322·
 2009 08  54286.
 2009 09  6310.
 2009 10  72297·
 2009 11  80338.
 2009 12  74316.
 2010 01 67235.
 2010 02 15264·
 2010 03 25267.
 2010 04 73256.
 2010 05 62303.
 2010 06 94306.
 2010 07 77299·
 2010 08 45325.
 2010 09 17281.
 2010 10 65315·
 2010 11 23337.
 2010 12 10277·
 2011 01  82287.
 2011 02  9289.
 2011 03  77258.
 2011 04  11272·
 2011 05  34289.
 2011 06  35284·
 2011 07  76291·
 2011 08  18288.
 2011 09  72264·
 2011 10  72299.
 2011 11  84293.
 2011 12  25410·
 2012 01 21292·
 2012 02 78306.
 2012 03 87283.
 2012 04 51250·
 2012 05 32279.
 2012 06 35276·
 2012 07 0278.
 2012 08 40287·
 2012 09 81353.
 2012 10 48289·
 2012 11 60321·
 2012 12 61358.
 2013 01  68284·
 2013 02  50331·
 2013 03  30295·
 2013 04  8290·
 2013 05  18322·
 2013 06  98417.
 2013 07  98348·
 2013 08  2343.
 2013 09  81364·
 2013 10  73313.
 2013 11  76362.
 2013 12  84295.
 2014 01 34314.
 2014 02 81330.
 2014 03 3345·
 2014 04 26327.
 2014 05 76335.
 2014 06 54366.
 2014 07 41388.
 2014 08 20358.
 2014 09 32309.
 2014 10 50399·
 2014 11 79373.
 2014 12 87309.
 2015 01  54327·
 2015 02  49348·
 2015 03  29332·
 2015 04  70299·
 2015 05  17301·
 2015 06  58341·
 2015 07  29360·
 2015 08  38336.
 2015 09  20275.
 2015 10  9318·
 2015 11  42355.
 2015 12  86350.
 2016 01 90317·
 2016 02 58292.
 2016 03 56354.
 2016 04 32332·
 2016 05 76296·
 2016 06 88331.
 2016 07 83347.
 2016 08 22348·
 2016 09 55351·
 2016 10 4351.
 2016 11 63382.
 2016 12 23315·
 2017 01  26310.
 2017 02  38350·


 2017 03  57384·
 2017 04  30370·
 2017 05  15300.
 2017 06  48376.
 2017 07  53412.
 2017 08  63389·
 2017 09  72404·
 2017 10  15352.
 2017 11  65348·
 2017 12  65314·
 2018 01 73354.
 2018 02 44391.
 2018 03 30370·
 2018 04 5334.
 2018 05 18320·
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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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