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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 53637·
 1994 02 45619.
 1994 03 71525.
 1994 04 20521·
 1994 05 8530·
 1994 06 49550.
 1994 07 64590.
 1994 08 99598.
 1994 09 85633·
 1994 10 8664.
 1994 11 13661·
 1994 12 33610.
 1995 01  35631.
 1995 02  3637.
 1995 03  33650.
 1995 04  66664.
 1995 05  34645·
 1995 06  40614.
 1995 07  60572.
 1995 08  66616.
 1995 09  81681.
 1995 10  53685.
 1995 11  59638·
 1995 12  30660.
 1996 01 2590·
 1996 02 97676·
 1996 03 16678.
 1996 04 74670·
 1996 05 49722.
 1996 06 53675·
 1996 07 45668·
 1996 08 45673.
 1996 09 94686.
 1996 10 30733·
 1996 11 83703.
 1996 12 10708·
 1997 01  41671·
 1997 02  57737·
 1997 03  94744.
 1997 04  64698.
 1997 05  13784.
 1997 06  92729.
 1997 07  64716·
 1997 08  26707·
 1997 09  61766·
 1997 10  17797·
 1997 11  9784.
 1997 12  40742·
 1998 01 60784.
 1998 02 38829·
 1998 03 64786·
 1998 04 76816·
 1998 05 12780·
 1998 06 87724.
 1998 07 93686·
 1998 08 27738·
 1998 09 41811·
 1998 10 20838.
 1998 11 84857.
 1998 12 12844·
 1999 01  97801.
 1999 02  19844.
 1999 03  50894·
 1999 04  76868·
 1999 05  56817.
 1999 06  91790·
 1999 07  28776.
 1999 08  89740.
 1999 09  19793·
 1999 10  67849·
 1999 11  82838·
 1999 12  43858.
 2000 01 11883·
 2000 02 4947.
 2000 03 99916·
 2000 04 58836·
 2000 05 82863.
 2000 06 84796.
 2000 07 93854.
 2000 08 79832.
 2000 09 8896·
 2000 10 13855·
 2000 11 0880·
 2000 12 74852.
 2001 01  88880·
 2001 02  23905·
 2001 03  85904.
 2001 04  38840·
 2001 05  49825.
 2001 06  70801.
 2001 07  35828.
 2001 08  89815.
 2001 09  41869·
 2001 10  37907.
 2001 11  63898.
 2001 12  73925.
 2002 01 39851.
 2002 02 29933·
 2002 03 6951.
 2002 04 57918.
 2002 05 44917·
 2002 06 79842.
 2002 07 28818.
 2002 08 36783·
 2002 09 80950.
 2002 10 43862.
 2002 11 17884.
 2002 12 30981.
 2003 01  99918·
 2003 02  21054·
 2003 03  851044.
 2003 04  82972.
 2003 05  76951.
 2003 06  64920·
 2003 07  70957.
 2003 08  62975·
 2003 09  10994.
 2003 10  601078·
 2003 11  361040·
 2003 12  64989.
 2004 01 29983.
 2004 02 471040·
 2004 03 691058.
 2004 04 6998.
 2004 05 811014·
 2004 06 6992·
 2004 07 84979.
 2004 08 331024.
 2004 09 421129·
 2004 10 441136·
 2004 11 171055·
 2004 12 151095·
 2005 01  14983.
 2005 02  931068.
 2005 03  331147·
 2005 04  451140.
 2005 05  201137·
 2005 06  81062.
 2005 07  181002·
 2005 08  42982·
 2005 09  121174.
 2005 10  731158.
 2005 11  851092.
 2005 12  501121.
 2006 01 641095·
 2006 02 931218·
 2006 03 731176.
 2006 04 401175.
 2006 05 781185.
 2006 06 01086·
 2006 07 441147.
 2006 08 41083·
 2006 09 791234.
 2006 10 511181·
 2006 11 871208·
 2006 12 621186.
 2007 01  171253·
 2007 02  281286.
 2007 03  131284·
 2007 04  581205.
 2007 05  671196·
 2007 06  361132·
 2007 07  621126.
 2007 08  621193.
 2007 09  291260·
 2007 10  81309.
 2007 11  951288.
 2007 12  671302.
 2008 01 311297.
 2008 02 11328.
 2008 03 21276.
 2008 04 921274.
 2008 05 201270·
 2008 06 951266.
 2008 07 941266.
 2008 08 831276·
 2008 09 741342·
 2008 10 981272·
 2008 11 91350.
 2008 12 71259·
 2009 01  921351·
 2009 02  421412.
 2009 03  111368·
 2009 04  591376.
 2009 05  01284.
 2009 06  821190·
 2009 07  871234·
 2009 08  581107.
 2009 09  481099.
 2009 10  11204·
 2009 11  511234·
 2009 12  481149.
 2010 01 111196.
 2010 02 51241.
 2010 03 401289.
 2010 04 991243.
 2010 05 911343.
 2010 06 261240·
 2010 07 161084·
 2010 08 41096·
 2010 09 121180.
 2010 10 201252·
 2010 11 691196·
 2010 12 831266·
 2011 01  241257·
 2011 02  701346.
 2011 03  101339.
 2011 04  791339·
 2011 05  41320·
 2011 06  811328.
 2011 07  781317·
 2011 08  631262·
 2011 09  511335·
 2011 10  851304.
 2011 11  361365.
 2011 12  281375·
 2012 01 911323.
 2012 02 401451·
 2012 03 711487·
 2012 04 931406.
 2012 05 751461.
 2012 06 261278·
 2012 07 971215·
 2012 08 21341·
 2012 09 771404.
 2012 10 511494.
 2012 11 501475.
 2012 12 251469·
 2013 01  981306·
 2013 02  461413.
 2013 03  951396.
 2013 04  551449.
 2013 05  641394.
 2013 06  671319.
 2013 07  191306·
 2013 08  131400.
 2013 09  241429·
 2013 10  961454·
 2013 11  351373.
 2013 12  411287.
 2014 01 551320·
 2014 02 401467.
 2014 03 811528.
 2014 04 91545.
 2014 05 561405·
 2014 06 311381·
 2014 07 191328·
 2014 08 111317.
 2014 09 541388.
 2014 10 251501.
 2014 11 381501.
 2014 12 671472.
 2015 01  971412.
 2015 02  41473·
 2015 03  511499.
 2015 04  201488·
 2015 05  631535.
 2015 06  741424·
 2015 07  951460·
 2015 08  401424.
 2015 09  511449·
 2015 10  671575.
 2015 11  331490·
 2015 12  211542·
 2016 01 861459.
 2016 02 401541·
 2016 03 531556.
 2016 04 821568·
 2016 05 201605.
 2016 06 741423·
 2016 07 681397.
 2016 08 661444.
 2016 09 261526·
 2016 10 771618.
 2016 11 171546·
 2016 12 441509.
 2017 01  71466.
 2017 02  791545.


 2017 03  611608.
 2017 04  91602·
 2017 05  871552·
 2017 06  371480.
 2017 07  891474·
 2017 08  811418.
 2017 09  161579·
 2017 10  331502·
 2017 11  131555.
 2017 12  31684·
 2018 01 701627·
 2018 02 741649.
 2018 03 721561.
 2018 04 451589·
 2018 05 491556·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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