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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 30407·
 1994 02 18429.
 1994 03 78423·
 1994 04 94454·
 1994 05 74492·
 1994 06 28465.
 1994 07 69527·
 1994 08 38445.
 1994 09 59427·
 1994 10 11449·
 1994 11 35455·
 1994 12 56454.
 1995 01  35413·
 1995 02  50418.
 1995 03  91415.
 1995 04  91432.
 1995 05  79384.
 1995 06  50433·
 1995 07  73435·
 1995 08  14454·
 1995 09  90406·
 1995 10  44404.
 1995 11  45424.
 1995 12  18475.
 1996 01 94335·
 1996 02 87423·
 1996 03 94457·
 1996 04 22347·
 1996 05 42339·
 1996 06 63425.
 1996 07 33432·
 1996 08 70404.
 1996 09 8440·
 1996 10 76467·
 1996 11 1480.
 1996 12 32507·
 1997 01  93415.
 1997 02  60448.
 1997 03  60399.
 1997 04  2418.
 1997 05  23414.
 1997 06  70408.
 1997 07  98405·
 1997 08  98333·
 1997 09  48402·
 1997 10  89470·
 1997 11  28490·
 1997 12  65486·
 1998 01 42429·
 1998 02 22447.
 1998 03 88389·
 1998 04 73432.
 1998 05 8409.
 1998 06 2422·
 1998 07 40455·
 1998 08 14378.
 1998 09 69447.
 1998 10 85425·
 1998 11 73429·
 1998 12 9432·
 1999 01  77374·
 1999 02  52405.
 1999 03  0467·
 1999 04  1396.
 1999 05  7448.
 1999 06  12355·
 1999 07  58411.
 1999 08  60402.
 1999 09  59395.
 1999 10  94439·
 1999 11  10375.
 1999 12  80452·
 2000 01 58349·
 2000 02 56356.
 2000 03 44419·
 2000 04 80411·
 2000 05 56402·
 2000 06 79407·
 2000 07 74426.
 2000 08 3393.
 2000 09 26384.
 2000 10 71420.
 2000 11 36447.
 2000 12 20464·
 2001 01  71384.
 2001 02  62422·
 2001 03  94413.
 2001 04  25370.
 2001 05  15417.
 2001 06  9424.
 2001 07  36443·
 2001 08  35404.
 2001 09  8369·
 2001 10  94396·
 2001 11  75408.
 2001 12  97403.
 2002 01 26385.
 2002 02 24489.
 2002 03 48443·
 2002 04 78394.
 2002 05 70330·
 2002 06 30383·
 2002 07 18414.
 2002 08 73380.
 2002 09 64385·
 2002 10 69411.
 2002 11 74435·
 2002 12 1413.
 2003 01  59407.
 2003 02  22422.
 2003 03  28373·
 2003 04  6401·
 2003 05  31427·
 2003 06  97453·
 2003 07  18440·
 2003 08  58405.
 2003 09  80442·
 2003 10  24442·
 2003 11  6457·
 2003 12  50467.
 2004 01 31409.
 2004 02 60463·
 2004 03 82434.
 2004 04 1396.
 2004 05 35412.
 2004 06 88425·
 2004 07 58399.
 2004 08 57410·
 2004 09 66423·
 2004 10 13435·
 2004 11 71400·
 2004 12 85418.
 2005 01  26406·
 2005 02  68364·
 2005 03  84429.
 2005 04  80394.
 2005 05  40436.
 2005 06  9436.
 2005 07  86442·
 2005 08  61436.
 2005 09  59410.
 2005 10  17416.
 2005 11  90456.
 2005 12  73476·
 2006 01 57412.
 2006 02 99412.
 2006 03 32433.
 2006 04 84403.
 2006 05 34473·
 2006 06 88430.
 2006 07 77439.
 2006 08 89413·
 2006 09 18453.
 2006 10 39423·
 2006 11 11448·
 2006 12 7446·
 2007 01  57438.
 2007 02  34423·
 2007 03  49481·
 2007 04  81393·
 2007 05  27448·
 2007 06  80494.
 2007 07  27415·
 2007 08  81384·
 2007 09  29419.
 2007 10  8410.
 2007 11  9418.
 2007 12  2420·
 2008 01 88337.
 2008 02 75417.
 2008 03 82384.
 2008 04 61418·
 2008 05 54446.
 2008 06 63467·
 2008 07 60466·
 2008 08 5398·
 2008 09 3402.
 2008 10 79464.
 2008 11 80461.
 2008 12 0419·
 2009 01  35369·
 2009 02  54427.
 2009 03  5392·
 2009 04  43418.
 2009 05  75395·
 2009 06  44410·
 2009 07  24420·
 2009 08  51362·
 2009 09  75376.
 2009 10  31377.
 2009 11  48449·
 2009 12  70443·
 2010 01 9350·
 2010 02 23410·
 2010 03 16355.
 2010 04 67396·
 2010 05 77414.
 2010 06 50413.
 2010 07 91378.
 2010 08 38390.
 2010 09 6446.
 2010 10 69433.
 2010 11 61426.
 2010 12 1461·
 2011 01  45376.
 2011 02  62392.
 2011 03  38333.
 2011 04  1376·
 2011 05  70412.
 2011 06  36418.
 2011 07  61443·
 2011 08  6418.
 2011 09  81385.
 2011 10  21438·
 2011 11  92467.
 2011 12  11384·
 2012 01 4452·
 2012 02 76484·
 2012 03 19473·
 2012 04 36431.
 2012 05 88441·
 2012 06 81377·
 2012 07 56457.
 2012 08 23444·
 2012 09 11346.
 2012 10 43368·
 2012 11 39403·
 2012 12 42453.
 2013 01  71471.
 2013 02  94544.
 2013 03  32450.
 2013 04  88436.
 2013 05  94440·
 2013 06  90433·
 2013 07  23445.
 2013 08  80404.
 2013 09  31423.
 2013 10  13488.
 2013 11  25461·
 2013 12  61507.
 2014 01 57418·
 2014 02 69472.
 2014 03 75388.
 2014 04 1427.
 2014 05 73444·
 2014 06 91416.
 2014 07 37431.
 2014 08 94421.
 2014 09 3509.
 2014 10 35575·
 2014 11 98532.
 2014 12 59545.
 2015 01  98482·
 2015 02  82439.
 2015 03  71480·
 2015 04  41414.
 2015 05  34449.
 2015 06  40436.
 2015 07  95445·
 2015 08  7424.
 2015 09  11429·
 2015 10  39483·
 2015 11  31592.
 2015 12  53570.
 2016 01 54484·
 2016 02 37520.
 2016 03 69466.
 2016 04 98496.
 2016 05 13506.
 2016 06 15506.
 2016 07 20507·
 2016 08 86514.
 2016 09 65551·
 2016 10 80539·
 2016 11 23604·
 2016 12 86472·
 2017 01  10444.
 2017 02  63481.
 2017 03  40563.
 2017 04  91485.


 2017 05  72453·
 2017 06  21566·
 2017 07  60488·
 2017 08  22440.
 2017 09  3415·
 2017 10  36372.
 2017 11  95446.
 2017 12  23475·
 2018 01 77483·
 2018 02 14478.
 2018 03 84396.
 2018 04 62452·
 2018 05 96409·
 2018 06 87497·
 2018 07 89529.
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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