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 Series Title: Employment Level: Multiple Jobholders 20-24 years, Women: 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 70407.
 1994 02 38429·
 1994 03 40423.
 1994 04 25454·
 1994 05 62492.
 1994 06 24465.
 1994 07 85527.
 1994 08 51445.
 1994 09 7427.
 1994 10 95449.
 1994 11 18455.
 1994 12 64454.
 1995 01  56413·
 1995 02  35418·
 1995 03  53415·
 1995 04  7432·
 1995 05  86384.
 1995 06  49433.
 1995 07  27435.
 1995 08  49454·
 1995 09  95406.
 1995 10  68404·
 1995 11  3424·
 1995 12  85475·
 1996 01 9335.
 1996 02 50423.
 1996 03 68457·
 1996 04 34347.
 1996 05 80339·
 1996 06 77425·
 1996 07 37432.
 1996 08 40404.
 1996 09 81440.
 1996 10 54467·
 1996 11 47480.
 1996 12 71507.
 1997 01  14415·
 1997 02  13448.
 1997 03  60399·
 1997 04  23418.
 1997 05  4414·
 1997 06  12408·
 1997 07  64405.
 1997 08  14333·
 1997 09  2402.
 1997 10  32470·
 1997 11  73490.
 1997 12  88486.
 1998 01 82429·
 1998 02 78447.
 1998 03 25389·
 1998 04 15432·
 1998 05 45409·
 1998 06 84422.
 1998 07 81455.
 1998 08 89378·
 1998 09 17447.
 1998 10 6425·
 1998 11 31429.
 1998 12 29432·
 1999 01  48374.
 1999 02  24405·
 1999 03  87467.
 1999 04  78396·
 1999 05  13448.
 1999 06  47355·
 1999 07  86411·
 1999 08  7402.
 1999 09  12395.
 1999 10  5439·
 1999 11  92375.
 1999 12  9452.
 2000 01 72349.
 2000 02 56356.
 2000 03 93419·
 2000 04 3411.
 2000 05 42402.
 2000 06 80407.
 2000 07 2426.
 2000 08 34393.
 2000 09 99384.
 2000 10 85420.
 2000 11 56447.
 2000 12 71464·
 2001 01  41384·
 2001 02  2422·
 2001 03  18413·
 2001 04  8370·
 2001 05  95417.
 2001 06  88424.
 2001 07  76443·
 2001 08  63404·
 2001 09  11369.
 2001 10  24396·
 2001 11  44408·
 2001 12  82403·
 2002 01 65385.
 2002 02 17489.
 2002 03 59443.
 2002 04 32394·
 2002 05 56330·
 2002 06 99383.
 2002 07 83414·
 2002 08 10380.
 2002 09 11385·
 2002 10 26411.
 2002 11 5435.
 2002 12 32413.
 2003 01  79407·
 2003 02  81422.
 2003 03  38373.
 2003 04  45401.
 2003 05  36427.
 2003 06  69453·
 2003 07  20440.
 2003 08  16405·
 2003 09  83442·
 2003 10  22442.
 2003 11  13457.
 2003 12  40467·
 2004 01 44409·
 2004 02 97463·
 2004 03 5434·
 2004 04 37396.
 2004 05 71412·
 2004 06 75425·
 2004 07 10399·
 2004 08 49410.
 2004 09 38423·
 2004 10 64435.
 2004 11 65400.
 2004 12 47418·
 2005 01  46406.
 2005 02  95364.
 2005 03  32429.
 2005 04  25394.
 2005 05  20436·
 2005 06  24436.
 2005 07  1442·
 2005 08  1436·
 2005 09  11410·
 2005 10  33416·
 2005 11  83456.
 2005 12  20476.
 2006 01 94412·
 2006 02 29412·
 2006 03 17433.
 2006 04 51403.
 2006 05 70473·
 2006 06 44430.
 2006 07 66439.
 2006 08 88413.
 2006 09 64453·
 2006 10 33423·
 2006 11 17448.
 2006 12 50446·
 2007 01  26438·
 2007 02  79423·
 2007 03  84481·
 2007 04  81393.
 2007 05  31448·
 2007 06  88494·
 2007 07  4415.
 2007 08  51384·
 2007 09  81419.
 2007 10  93410·
 2007 11  40418·
 2007 12  54420.
 2008 01 0337.
 2008 02 49417.
 2008 03 79384·
 2008 04 9418·
 2008 05 39446·
 2008 06 38467.
 2008 07 36466·
 2008 08 59398·
 2008 09 73402·
 2008 10 67464.
 2008 11 48461·
 2008 12 75419.
 2009 01  3369·
 2009 02  67427.
 2009 03  77392.
 2009 04  49418.
 2009 05  54395.
 2009 06  96410.
 2009 07  12420·
 2009 08  2362.
 2009 09  77376·
 2009 10  34377.
 2009 11  66449·
 2009 12  78443·
 2010 01 46350·
 2010 02 89410.
 2010 03 76355·
 2010 04 45396.
 2010 05 62414.
 2010 06 92413·
 2010 07 5378·
 2010 08 98390.
 2010 09 51446.
 2010 10 0433.
 2010 11 41426.
 2010 12 56461·
 2011 01  63376.
 2011 02  94392.
 2011 03  98333·
 2011 04  63376.
 2011 05  73412·
 2011 06  81418·
 2011 07  12443.
 2011 08  88418.
 2011 09  82385.
 2011 10  93438.
 2011 11  47467.
 2011 12  26384.
 2012 01 15452.
 2012 02 86484.
 2012 03 91473.
 2012 04 94431·
 2012 05 23441.
 2012 06 42377·
 2012 07 56457·
 2012 08 39444.
 2012 09 81346·
 2012 10 67368·
 2012 11 81403.
 2012 12 28453.
 2013 01  89471.
 2013 02  94544·
 2013 03  29450.
 2013 04  57436·
 2013 05  72440.
 2013 06  79433.
 2013 07  86445.
 2013 08  43404·
 2013 09  82423.
 2013 10  3488.
 2013 11  67461.
 2013 12  31507.
 2014 01 93418·
 2014 02 73472·
 2014 03 9388.
 2014 04 91427·
 2014 05 7444·
 2014 06 21416·
 2014 07 75431·
 2014 08 16421·
 2014 09 47509·
 2014 10 3575.
 2014 11 53532.
 2014 12 26545.
 2015 01  65482·
 2015 02  1439·
 2015 03  55480·
 2015 04  65414·
 2015 05  36449·
 2015 06  22436.
 2015 07  20445·
 2015 08  1424.
 2015 09  61429·
 2015 10  98483·
 2015 11  11592.
 2015 12  29570·
 2016 01 65484.
 2016 02 84520.
 2016 03 15466·
 2016 04 69496·
 2016 05 97506.
 2016 06 63506.
 2016 07 45507.
 2016 08 64514.
 2016 09 35551·
 2016 10 41539.
 2016 11 39604.
 2016 12 83472·
 2017 01  77444.
 2017 02  50481·


 2017 03  61563·
 2017 04  21485.
 2017 05  50453·
 2017 06  47566.
 2017 07  97488·
 2017 08  97440·
 2017 09  3415·
 2017 10  13372·
 2017 11  62446·
 2017 12  54475·
 2018 01 13483.
 2018 02 54478.
 2018 03 92396·
 2018 04 63452.
 2018 05 79409.
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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, Women: 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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