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 Series Title: Employment Level: Multiple Jobholders 55 years and over: 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 83637.
 1994 02 27619.
 1994 03 21525.
 1994 04 31521.
 1994 05 46530.
 1994 06 58550.
 1994 07 60590·
 1994 08 75598.
 1994 09 8633.
 1994 10 19664.
 1994 11 31661·
 1994 12 49610.
 1995 01  17631.
 1995 02  92637·
 1995 03  47650.
 1995 04  97664·
 1995 05  49645.
 1995 06  83614.
 1995 07  46572.
 1995 08  88616.
 1995 09  6681.
 1995 10  23685·
 1995 11  91638·
 1995 12  17660.
 1996 01 11590·
 1996 02 69676.
 1996 03 70678·
 1996 04 1670.
 1996 05 16722.
 1996 06 4675·
 1996 07 95668.
 1996 08 87673·
 1996 09 96686·
 1996 10 33733.
 1996 11 5703.
 1996 12 42708·
 1997 01  51671.
 1997 02  88737·
 1997 03  62744·
 1997 04  62698·
 1997 05  7784·
 1997 06  26729·
 1997 07  54716·
 1997 08  64707·
 1997 09  14766.
 1997 10  28797.
 1997 11  95784.
 1997 12  93742·
 1998 01 48784.
 1998 02 2829.
 1998 03 21786.
 1998 04 19816.
 1998 05 8780.
 1998 06 79724.
 1998 07 97686·
 1998 08 35738·
 1998 09 21811.
 1998 10 14838.
 1998 11 9857.
 1998 12 61844·
 1999 01  36801.
 1999 02  91844.
 1999 03  72894.
 1999 04  41868·
 1999 05  30817.
 1999 06  16790·
 1999 07  21776.
 1999 08  43740·
 1999 09  2793.
 1999 10  20849.
 1999 11  22838.
 1999 12  63858.
 2000 01 78883.
 2000 02 59947.
 2000 03 61916.
 2000 04 18836.
 2000 05 7863.
 2000 06 17796.
 2000 07 51854.
 2000 08 54832·
 2000 09 67896.
 2000 10 99855·
 2000 11 30880·
 2000 12 40852.
 2001 01  57880·
 2001 02  36905.
 2001 03  61904.
 2001 04  68840.
 2001 05  2825.
 2001 06  86801.
 2001 07  32828.
 2001 08  60815.
 2001 09  52869·
 2001 10  31907.
 2001 11  57898·
 2001 12  59925·
 2002 01 84851.
 2002 02 76933·
 2002 03 71951·
 2002 04 33918·
 2002 05 98917.
 2002 06 53842·
 2002 07 40818.
 2002 08 78783.
 2002 09 19950·
 2002 10 20862.
 2002 11 50884.
 2002 12 12981.
 2003 01  96918·
 2003 02  571054.
 2003 03  151044·
 2003 04  79972.
 2003 05  7951.
 2003 06  72920.
 2003 07  71957.
 2003 08  49975.
 2003 09  51994·
 2003 10  961078·
 2003 11  831040.
 2003 12  16989.
 2004 01 53983.
 2004 02 851040.
 2004 03 391058·
 2004 04 99998·
 2004 05 641014·
 2004 06 22992.
 2004 07 50979.
 2004 08 411024·
 2004 09 601129·
 2004 10 131136.
 2004 11 551055.
 2004 12 131095·
 2005 01  40983.
 2005 02  891068.
 2005 03  161147·
 2005 04  81140·
 2005 05  301137·
 2005 06  71062·
 2005 07  231002.
 2005 08  45982.
 2005 09  811174.
 2005 10  501158·
 2005 11  871092·
 2005 12  691121·
 2006 01 681095·
 2006 02 231218·
 2006 03 461176.
 2006 04 491175·
 2006 05 901185·
 2006 06 571086.
 2006 07 641147·
 2006 08 781083.
 2006 09 751234.
 2006 10 111181·
 2006 11 281208.
 2006 12 771186.
 2007 01  721253·
 2007 02  651286.
 2007 03  511284.
 2007 04  881205.
 2007 05  561196·
 2007 06  271132·
 2007 07  711126.
 2007 08  821193·
 2007 09  281260·
 2007 10  271309·
 2007 11  511288·
 2007 12  521302.
 2008 01 131297.
 2008 02 221328·
 2008 03 791276·
 2008 04 181274·
 2008 05 611270·
 2008 06 941266.
 2008 07 671266·
 2008 08 231276·
 2008 09 491342.
 2008 10 501272.
 2008 11 541350.
 2008 12 381259·
 2009 01  761351.
 2009 02  211412.
 2009 03  31368·
 2009 04  551376·
 2009 05  681284.
 2009 06  641190.
 2009 07  01234·
 2009 08  941107·
 2009 09  751099.
 2009 10  611204·
 2009 11  601234·
 2009 12  01149·
 2010 01 721196.
 2010 02 171241·
 2010 03 211289.
 2010 04 411243·
 2010 05 611343.
 2010 06 661240.
 2010 07 441084·
 2010 08 111096.
 2010 09 661180.
 2010 10 631252.
 2010 11 181196.
 2010 12 301266.
 2011 01  371257·
 2011 02  901346·
 2011 03  561339·
 2011 04  421339·
 2011 05  511320·
 2011 06  541328·
 2011 07  951317·
 2011 08  161262.
 2011 09  71335.
 2011 10  871304.
 2011 11  01365·
 2011 12  461375·
 2012 01 311323.
 2012 02 441451·
 2012 03 561487·
 2012 04 511406.
 2012 05 741461.
 2012 06 81278.
 2012 07 781215.
 2012 08 761341·
 2012 09 101404·
 2012 10 851494·
 2012 11 31475.
 2012 12 891469·
 2013 01  401306.
 2013 02  81413·
 2013 03  951396·
 2013 04  841449.
 2013 05  891394.
 2013 06  311319·
 2013 07  401306.
 2013 08  821400·
 2013 09  91429.
 2013 10  391454·
 2013 11  531373·
 2013 12  251287·
 2014 01 741320.
 2014 02 361467.
 2014 03 701528.
 2014 04 841545.
 2014 05 841405.
 2014 06 541381·
 2014 07 551328·
 2014 08 511317·
 2014 09 651388·
 2014 10 511501.
 2014 11 951501.
 2014 12 471472.
 2015 01  681412·
 2015 02  71473·
 2015 03  41499.
 2015 04  161488·
 2015 05  681535·
 2015 06  301424.
 2015 07  191460·
 2015 08  261424·
 2015 09  651449·
 2015 10  511575.
 2015 11  41490.
 2015 12  721542·
 2016 01 841459.
 2016 02 271541·
 2016 03 461556.
 2016 04 731568·
 2016 05 761605·
 2016 06 391423·
 2016 07 581397·
 2016 08 731444.
 2016 09 171526.
 2016 10 941618·
 2016 11 771546.
 2016 12 411509·
 2017 01  71466.
 2017 02  231545·
 2017 03  681608·
 2017 04  711602·
 2017 05  701552.
 2017 06  841480·


 2017 07  171474·
 2017 08  831418.
 2017 09  581579.
 2017 10  581502·
 2017 11  381555.
 2017 12  211684.
 2018 01 471627·
 2018 02 521649·
 2018 03 691561.
 2018 04 531589·
 2018 05 351556·
 2018 06 961533·
 2018 07 711615·
 2018 08 741484.
 2018 09 491629·
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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 55 years and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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