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 Series Title: Multiple Jobholders, Primary and Secondary Jobs Both Part Time, 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 98920·
 1994 02 561085·
 1994 03 611123·
 1994 04 21101·
 1994 05 931165.
 1994 06 511041·
 1994 07 941032.
 1994 08 71963·
 1994 09 111134·
 1994 10 01167·
 1994 11 841165·
 1994 12 951170.
 1995 01  21077.
 1995 02  851164.
 1995 03  451251.
 1995 04  191188·
 1995 05  411225·
 1995 06  141113·
 1995 07  131034.
 1995 08  101051.
 1995 09  291173·
 1995 10  171257·
 1995 11  521165·
 1995 12  641227.
 1996 01 911107.
 1996 02 511207.
 1996 03 501246·
 1996 04 991146.
 1996 05 771151.
 1996 06 991051·
 1996 07 191128·
 1996 08 601001·
 1996 09 641208·
 1996 10 661314.
 1996 11 981314·
 1996 12 161320.
 1997 01  511113·
 1997 02  841225.
 1997 03  491188.
 1997 04  611267·
 1997 05  641167.
 1997 06  101157.
 1997 07  611075.
 1997 08  13990.
 1997 09  521087.
 1997 10  251207·
 1997 11  451337·
 1997 12  181210·
 1998 01 921175·
 1998 02 371129·
 1998 03 411158.
 1998 04 441091.
 1998 05 851075·
 1998 06 761095·
 1998 07 111024.
 1998 08 86939.
 1998 09 541101.
 1998 10 01192·
 1998 11 421250.
 1998 12 621255.
 1999 01  511101.
 1999 02  891187·
 1999 03  491168.
 1999 04  171119·
 1999 05  511146·
 1999 06  52979·
 1999 07  681131.
 1999 08  201014·
 1999 09  551186.
 1999 10  191168·
 1999 11  621208.
 1999 12  651252.
 2000 01 871072.
 2000 02 461135.
 2000 03 201203.
 2000 04 711089·
 2000 05 991072.
 2000 06 171060.
 2000 07 54998·
 2000 08 82976.
 2000 09 651039.
 2000 10 361060·
 2000 11 31036.
 2000 12 681191.
 2001 01  861078·
 2001 02  371168·
 2001 03  281186·
 2001 04  221045·
 2001 05  881101.
 2001 06  751023·
 2001 07  191065·
 2001 08  64907.
 2001 09  201065.
 2001 10  321080.
 2001 11  871025·
 2001 12  381076.
 2002 01 591039.
 2002 02 151144.
 2002 03 711105·
 2002 04 131029.
 2002 05 41063.
 2002 06 551017.
 2002 07 341100.
 2002 08 83984·
 2002 09 811088·
 2002 10 101232·
 2002 11 631129.
 2002 12 681232.
 2003 01  411182.
 2003 02  601202·
 2003 03  711168.
 2003 04  111080.
 2003 05  581097.
 2003 06  131063.
 2003 07  971122·
 2003 08  811043·
 2003 09  331169.
 2003 10  01261.
 2003 11  41158·
 2003 12  731141.
 2004 01 921117.
 2004 02 771176·
 2004 03 781151·
 2004 04 61082·
 2004 05 851136.
 2004 06 261181.
 2004 07 331137.
 2004 08 241034·
 2004 09 871117·
 2004 10 551201.
 2004 11 71120.
 2004 12 961205·
 2005 01  991064.
 2005 02  941160·
 2005 03  631224·
 2005 04  161130·
 2005 05  461197·
 2005 06  01159·
 2005 07  891078.
 2005 08  4996·
 2005 09  781193·
 2005 10  561143·
 2005 11  971137.
 2005 12  41177.
 2006 01 721108.
 2006 02 661195.
 2006 03 251242·
 2006 04 841219·
 2006 05 261245.
 2006 06 641009.
 2006 07 371112.
 2006 08 381075.
 2006 09 671201.
 2006 10 61120.
 2006 11 201296.
 2006 12 871193·
 2007 01  461235·
 2007 02  731278·
 2007 03  871344·
 2007 04  741263·
 2007 05  361288·
 2007 06  721266·
 2007 07  771181.
 2007 08  681015·
 2007 09  401173·
 2007 10  351213.
 2007 11  511233·
 2007 12  641303·
 2008 01 811135·
 2008 02 181263·
 2008 03 981212.
 2008 04 801225·
 2008 05 121250·
 2008 06 31222.
 2008 07 301161·
 2008 08 611141.
 2008 09 61206.
 2008 10 971264.
 2008 11 861225.
 2008 12 751136·
 2009 01  651158.
 2009 02  311258·
 2009 03  291345.
 2009 04  181366.
 2009 05  131199.
 2009 06  621159·
 2009 07  461175·
 2009 08  81127.
 2009 09  21149.
 2009 10  711180·
 2009 11  501282.
 2009 12  891268·
 2010 01 61199·
 2010 02 661296.
 2010 03 791210.
 2010 04 301288.
 2010 05 261312.
 2010 06 781196·
 2010 07 971122.
 2010 08 261031.
 2010 09 881154·
 2010 10 621203·
 2010 11 901262·
 2010 12 951320.
 2011 01  411125·
 2011 02  31236.
 2011 03  721261·
 2011 04  831213·
 2011 05  611214.
 2011 06  41156.
 2011 07  811098·
 2011 08  571032·
 2011 09  491132·
 2011 10  01263.
 2011 11  791281·
 2011 12  121301·
 2012 01 301275·
 2012 02 451334·
 2012 03 551364·
 2012 04 681293.
 2012 05 541340.
 2012 06 221173·
 2012 07 211201·
 2012 08 681115·
 2012 09 961082.
 2012 10 371296·
 2012 11 151322·
 2012 12 811390·
 2013 01  581242·
 2013 02  221371.
 2013 03  11246.
 2013 04  21347.
 2013 05  651265·
 2013 06  341128·
 2013 07  651094.
 2013 08  501120.
 2013 09  661218.
 2013 10  541348·
 2013 11  221349.
 2013 12  691308.
 2014 01 371222·
 2014 02 891293.
 2014 03 81330.
 2014 04 281322.
 2014 05 791345·
 2014 06 701214.
 2014 07 871115·
 2014 08 211139.
 2014 09 171280.
 2014 10 551482·
 2014 11 471442·
 2014 12 671306·
 2015 01  11321·
 2015 02  241296.
 2015 03  01287.
 2015 04  111320.
 2015 05  81229.
 2015 06  851188.
 2015 07  851237.
 2015 08  221146·
 2015 09  361321.
 2015 10  691358·
 2015 11  631388·
 2015 12  931371.
 2016 01 121300.
 2016 02 321412.
 2016 03 241336.
 2016 04 441413·
 2016 05 861415.
 2016 06 571233.
 2016 07 801287.
 2016 08 201264.
 2016 09 341451·
 2016 10 501409·
 2016 11 691548.
 2016 12 881396.
 2017 01  551268·
 2017 02  431406.
 2017 03  541344.
 2017 04  441319.
 2017 05  751352·
 2017 06  921311·
 2017 07  221316.
 2017 08  61154·
 2017 09  451287.


 2017 10  781183·
 2017 11  871341.
 2017 12  191296.
 2018 01 401280·
 2018 02 101317.
 2018 03 871274.
 2018 04 521284.
 2018 05 601279.
 2018 06 171183.
 2018 07 841346·
 2018 08 981197.
 2018 09 301315·
 2018 10 581457.
 2018 11 661392·
 2018 12 781445·
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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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