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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 1407·
 1994 02 94429.
 1994 03 71423·
 1994 04 85454·
 1994 05 13492·
 1994 06 33465.
 1994 07 27527.
 1994 08 5445.
 1994 09 60427·
 1994 10 40449·
 1994 11 53455·
 1994 12 93454·
 1995 01  92413·
 1995 02  95418.
 1995 03  61415·
 1995 04  93432.
 1995 05  86384.
 1995 06  5433.
 1995 07  89435.
 1995 08  73454.
 1995 09  40406·
 1995 10  3404.
 1995 11  1424·
 1995 12  27475·
 1996 01 81335.
 1996 02 45423·
 1996 03 84457·
 1996 04 76347.
 1996 05 60339.
 1996 06 12425.
 1996 07 52432.
 1996 08 63404.
 1996 09 50440·
 1996 10 11467·
 1996 11 41480·
 1996 12 57507.
 1997 01  54415·
 1997 02  74448.
 1997 03  15399.
 1997 04  53418.
 1997 05  95414·
 1997 06  57408.
 1997 07  62405·
 1997 08  69333·
 1997 09  26402·
 1997 10  42470.
 1997 11  94490.
 1997 12  50486·
 1998 01 20429.
 1998 02 36447·
 1998 03 50389·
 1998 04 65432.
 1998 05 79409.
 1998 06 70422.
 1998 07 93455·
 1998 08 7378·
 1998 09 27447.
 1998 10 1425·
 1998 11 10429.
 1998 12 97432·
 1999 01  16374.
 1999 02  10405.
 1999 03  14467·
 1999 04  78396.
 1999 05  20448·
 1999 06  5355·
 1999 07  44411·
 1999 08  19402·
 1999 09  40395.
 1999 10  17439.
 1999 11  61375·
 1999 12  15452·
 2000 01 2349·
 2000 02 2356.
 2000 03 54419.
 2000 04 84411.
 2000 05 55402·
 2000 06 42407·
 2000 07 36426.
 2000 08 72393·
 2000 09 75384.
 2000 10 43420.
 2000 11 45447.
 2000 12 46464.
 2001 01  63384·
 2001 02  39422·
 2001 03  43413.
 2001 04  1370.
 2001 05  44417·
 2001 06  84424·
 2001 07  19443.
 2001 08  57404·
 2001 09  68369.
 2001 10  61396.
 2001 11  85408.
 2001 12  57403.
 2002 01 11385.
 2002 02 76489·
 2002 03 79443.
 2002 04 70394·
 2002 05 72330·
 2002 06 61383·
 2002 07 65414·
 2002 08 91380·
 2002 09 79385·
 2002 10 73411·
 2002 11 30435·
 2002 12 39413.
 2003 01  80407.
 2003 02  93422.
 2003 03  86373·
 2003 04  58401·
 2003 05  51427·
 2003 06  28453·
 2003 07  72440·
 2003 08  17405.
 2003 09  93442·
 2003 10  9442·
 2003 11  51457.
 2003 12  10467·
 2004 01 31409.
 2004 02 94463.
 2004 03 11434.
 2004 04 56396.
 2004 05 15412·
 2004 06 63425.
 2004 07 64399·
 2004 08 0410·
 2004 09 22423.
 2004 10 24435.
 2004 11 49400·
 2004 12 11418.
 2005 01  50406.
 2005 02  8364·
 2005 03  27429.
 2005 04  82394·
 2005 05  26436.
 2005 06  71436·
 2005 07  88442.
 2005 08  33436·
 2005 09  0410·
 2005 10  96416·
 2005 11  44456·
 2005 12  9476.
 2006 01 48412·
 2006 02 89412.
 2006 03 33433·
 2006 04 77403.
 2006 05 69473·
 2006 06 82430.
 2006 07 18439·
 2006 08 33413·
 2006 09 89453·
 2006 10 31423.
 2006 11 86448·
 2006 12 95446.
 2007 01  59438.
 2007 02  17423·
 2007 03  51481·
 2007 04  8393.
 2007 05  54448·
 2007 06  49494.
 2007 07  51415·
 2007 08  41384.
 2007 09  74419.
 2007 10  56410·
 2007 11  48418.
 2007 12  87420.
 2008 01 45337.
 2008 02 97417.
 2008 03 30384.
 2008 04 67418·
 2008 05 16446.
 2008 06 52467.
 2008 07 11466·
 2008 08 24398.
 2008 09 65402.
 2008 10 28464.
 2008 11 27461.
 2008 12 27419.
 2009 01  90369·
 2009 02  56427·
 2009 03  42392·
 2009 04  70418.
 2009 05  18395.
 2009 06  94410·
 2009 07  45420.
 2009 08  74362·
 2009 09  98376·
 2009 10  24377.
 2009 11  47449.
 2009 12  80443.
 2010 01 6350.
 2010 02 51410·
 2010 03 86355·
 2010 04 60396·
 2010 05 43414.
 2010 06 7413·
 2010 07 27378.
 2010 08 7390·
 2010 09 34446·
 2010 10 49433·
 2010 11 55426·
 2010 12 40461.
 2011 01  28376·
 2011 02  59392.
 2011 03  85333·
 2011 04  3376·
 2011 05  3412·
 2011 06  43418·
 2011 07  54443.
 2011 08  66418.
 2011 09  57385.
 2011 10  33438·
 2011 11  25467·
 2011 12  22384·
 2012 01 17452.
 2012 02 85484·
 2012 03 86473.
 2012 04 91431.
 2012 05 33441·
 2012 06 82377.
 2012 07 50457·
 2012 08 17444.
 2012 09 80346·
 2012 10 29368·
 2012 11 55403·
 2012 12 69453·
 2013 01  58471.
 2013 02  59544.
 2013 03  64450.
 2013 04  41436·
 2013 05  93440.
 2013 06  28433·
 2013 07  64445·
 2013 08  53404.
 2013 09  36423·
 2013 10  18488.
 2013 11  68461·
 2013 12  47507.
 2014 01 61418·
 2014 02 35472.
 2014 03 15388.
 2014 04 95427.
 2014 05 70444·
 2014 06 11416.
 2014 07 66431·
 2014 08 89421.
 2014 09 87509.
 2014 10 3575.
 2014 11 11532·
 2014 12 49545·
 2015 01  63482·
 2015 02  92439.
 2015 03  62480·
 2015 04  19414·
 2015 05  74449.
 2015 06  85436·
 2015 07  57445.
 2015 08  68424·
 2015 09  19429·
 2015 10  14483·
 2015 11  59592·
 2015 12  90570·
 2016 01 24484.
 2016 02 34520·
 2016 03 55466·
 2016 04 5496.
 2016 05 39506·
 2016 06 29506·
 2016 07 59507·
 2016 08 56514·
 2016 09 41551.
 2016 10 4539·
 2016 11 8604·
 2016 12 13472·
 2017 01  29444.
 2017 02  91481·
 2017 03  66563.
 2017 04  70485·
 2017 05  28453·
 2017 06  48566.
 2017 07  19488.
 2017 08  45440·
 2017 09  89415·


 2017 10  54372.
 2017 11  82446.
 2017 12  84475.
 2018 01 88483.
 2018 02 18478·
 2018 03 92396.
 2018 04 55452·
 2018 05 25409.
 2018 06 70497.
 2018 07 12529·
 2018 08 53447.
 2018 09 25400·
 2018 10 67435.
 2018 11 30458.
 2018 12 96444.
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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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