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 Series Title: Multiple Jobholders, Primary and Secondary Jobs Both Part Time, Women: NSA
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 1994 01 56920·
 1994 02 161085.
 1994 03 331123·
 1994 04 41101.
 1994 05 501165.
 1994 06 921041.
 1994 07 551032.
 1994 08 96963·
 1994 09 471134·
 1994 10 31167.
 1994 11 161165·
 1994 12 231170·
 1995 01  991077.
 1995 02  331164.
 1995 03  281251·
 1995 04  311188.
 1995 05  801225.
 1995 06  861113.
 1995 07  291034·
 1995 08  881051·
 1995 09  921173.
 1995 10  961257.
 1995 11  821165·
 1995 12  891227.
 1996 01 591107.
 1996 02 181207.
 1996 03 751246.
 1996 04 531146·
 1996 05 321151.
 1996 06 341051.
 1996 07 221128.
 1996 08 231001·
 1996 09 851208.
 1996 10 511314·
 1996 11 581314·
 1996 12 691320·
 1997 01  211113.
 1997 02  01225·
 1997 03  491188.
 1997 04  861267·
 1997 05  631167.
 1997 06  391157·
 1997 07  811075·
 1997 08  92990·
 1997 09  631087·
 1997 10  481207.
 1997 11  671337·
 1997 12  311210·
 1998 01 951175·
 1998 02 351129.
 1998 03 461158.
 1998 04 731091·
 1998 05 611075·
 1998 06 301095·
 1998 07 801024.
 1998 08 12939·
 1998 09 851101·
 1998 10 921192·
 1998 11 571250·
 1998 12 661255.
 1999 01  181101·
 1999 02  01187.
 1999 03  901168·
 1999 04  801119.
 1999 05  361146.
 1999 06  63979.
 1999 07  161131.
 1999 08  241014.
 1999 09  381186·
 1999 10  111168·
 1999 11  01208.
 1999 12  911252·
 2000 01 501072·
 2000 02 11135·
 2000 03 281203.
 2000 04 01089.
 2000 05 231072·
 2000 06 151060.
 2000 07 14998.
 2000 08 96976·
 2000 09 311039.
 2000 10 601060.
 2000 11 961036·
 2000 12 471191·
 2001 01  761078·
 2001 02  671168·
 2001 03  351186·
 2001 04  491045·
 2001 05  821101·
 2001 06  931023.
 2001 07  211065·
 2001 08  19907.
 2001 09  11065·
 2001 10  191080.
 2001 11  661025·
 2001 12  21076·
 2002 01 71039.
 2002 02 521144·
 2002 03 81105·
 2002 04 681029.
 2002 05 01063·
 2002 06 241017·
 2002 07 101100·
 2002 08 10984·
 2002 09 71088.
 2002 10 911232·
 2002 11 591129·
 2002 12 481232.
 2003 01  781182.
 2003 02  351202.
 2003 03  701168.
 2003 04  251080·
 2003 05  871097.
 2003 06  631063·
 2003 07  791122·
 2003 08  111043·
 2003 09  361169·
 2003 10  61261·
 2003 11  491158.
 2003 12  01141·
 2004 01 501117.
 2004 02 201176·
 2004 03 691151·
 2004 04 111082·
 2004 05 791136.
 2004 06 891181.
 2004 07 501137·
 2004 08 891034·
 2004 09 981117·
 2004 10 181201.
 2004 11 321120.
 2004 12 21205·
 2005 01  91064.
 2005 02  381160·
 2005 03  781224·
 2005 04  441130·
 2005 05  351197·
 2005 06  71159·
 2005 07  741078·
 2005 08  35996·
 2005 09  291193.
 2005 10  61143·
 2005 11  331137.
 2005 12  191177.
 2006 01 641108·
 2006 02 421195.
 2006 03 951242·
 2006 04 651219·
 2006 05 421245·
 2006 06 461009.
 2006 07 211112.
 2006 08 661075.
 2006 09 881201.
 2006 10 751120·
 2006 11 991296·
 2006 12 431193.
 2007 01  531235·
 2007 02  111278.
 2007 03  431344·
 2007 04  401263·
 2007 05  111288·
 2007 06  601266·
 2007 07  901181.
 2007 08  251015·
 2007 09  631173.
 2007 10  551213.
 2007 11  41233·
 2007 12  921303.
 2008 01 341135·
 2008 02 501263·
 2008 03 711212·
 2008 04 621225·
 2008 05 751250.
 2008 06 291222.
 2008 07 51161·
 2008 08 771141·
 2008 09 621206·
 2008 10 981264·
 2008 11 441225.
 2008 12 71136·
 2009 01  941158·
 2009 02  891258.
 2009 03  511345·
 2009 04  471366.
 2009 05  981199.
 2009 06  571159.
 2009 07  131175.
 2009 08  151127·
 2009 09  221149·
 2009 10  851180·
 2009 11  441282·
 2009 12  551268.
 2010 01 441199.
 2010 02 801296.
 2010 03 811210·
 2010 04 371288·
 2010 05 621312.
 2010 06 731196.
 2010 07 881122·
 2010 08 551031·
 2010 09 41154·
 2010 10 211203·
 2010 11 511262.
 2010 12 281320·
 2011 01  181125·
 2011 02  41236·
 2011 03  851261.
 2011 04  991213.
 2011 05  811214.
 2011 06  311156.
 2011 07  271098·
 2011 08  391032·
 2011 09  921132.
 2011 10  331263.
 2011 11  391281·
 2011 12  421301.
 2012 01 771275.
 2012 02 661334.
 2012 03 101364.
 2012 04 261293·
 2012 05 871340.
 2012 06 121173.
 2012 07 531201·
 2012 08 351115·
 2012 09 971082·
 2012 10 771296·
 2012 11 61322.
 2012 12 391390.
 2013 01  81242·
 2013 02  931371.
 2013 03  301246.
 2013 04  321347.
 2013 05  441265.
 2013 06  181128·
 2013 07  151094·
 2013 08  331120·
 2013 09  561218.
 2013 10  321348·
 2013 11  731349.
 2013 12  861308.
 2014 01 201222·
 2014 02 421293.
 2014 03 431330.
 2014 04 611322.
 2014 05 351345·
 2014 06 791214·
 2014 07 861115.
 2014 08 511139.
 2014 09 281280·
 2014 10 11482.
 2014 11 911442.
 2014 12 761306·
 2015 01  481321.
 2015 02  901296·
 2015 03  711287·
 2015 04  791320·
 2015 05  721229.
 2015 06  511188.
 2015 07  631237·
 2015 08  301146.
 2015 09  991321.
 2015 10  161358·
 2015 11  311388.
 2015 12  241371·
 2016 01 551300·
 2016 02 421412.
 2016 03 621336·
 2016 04 781413.
 2016 05 901415.
 2016 06 111233·
 2016 07 701287·
 2016 08 381264.
 2016 09 791451.
 2016 10 291409·
 2016 11 921548.
 2016 12 721396.
 2017 01  241268·
 2017 02  281406·
 2017 03  901344.
 2017 04  751319.
 2017 05  491352.
 2017 06  641311.


 2017 07  541316·
 2017 08  651154·
 2017 09  51287.
 2017 10  201183·
 2017 11  961341.
 2017 12  881296·
 2018 01 671280·
 2018 02 11317.
 2018 03 541274·
 2018 04 111284.
 2018 05 361279·
 2018 06 401183.
 2018 07 901346·
 2018 08 301197·
 2018 09 361315·
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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: Multiple Jobholders, Primary and Secondary Jobs Both Part Time, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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