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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 18637.
 1994 02 94619·
 1994 03 87525·
 1994 04 74521.
 1994 05 58530·
 1994 06 43550·
 1994 07 34590·
 1994 08 67598.
 1994 09 59633.
 1994 10 84664.
 1994 11 75661·
 1994 12 52610.
 1995 01  70631·
 1995 02  99637.
 1995 03  24650·
 1995 04  74664·
 1995 05  67645.
 1995 06  94614.
 1995 07  19572.
 1995 08  1616.
 1995 09  50681.
 1995 10  2685·
 1995 11  22638.
 1995 12  28660.
 1996 01 44590.
 1996 02 78676.
 1996 03 21678·
 1996 04 74670.
 1996 05 1722.
 1996 06 5675·
 1996 07 29668.
 1996 08 83673.
 1996 09 95686.
 1996 10 89733.
 1996 11 85703·
 1996 12 25708.
 1997 01  27671·
 1997 02  62737.
 1997 03  50744.
 1997 04  92698.
 1997 05  23784·
 1997 06  80729·
 1997 07  13716·
 1997 08  6707·
 1997 09  31766·
 1997 10  25797·
 1997 11  86784·
 1997 12  9742.
 1998 01 29784.
 1998 02 3829.
 1998 03 8786·
 1998 04 71816·
 1998 05 16780·
 1998 06 47724·
 1998 07 42686·
 1998 08 86738·
 1998 09 18811.
 1998 10 13838.
 1998 11 75857·
 1998 12 73844.
 1999 01  86801·
 1999 02  82844.
 1999 03  20894.
 1999 04  76868·
 1999 05  93817.
 1999 06  61790·
 1999 07  15776·
 1999 08  64740.
 1999 09  42793.
 1999 10  82849·
 1999 11  24838·
 1999 12  33858·
 2000 01 57883·
 2000 02 2947.
 2000 03 33916.
 2000 04 99836·
 2000 05 89863·
 2000 06 2796.
 2000 07 56854·
 2000 08 9832.
 2000 09 12896.
 2000 10 89855.
 2000 11 31880·
 2000 12 30852·
 2001 01  29880·
 2001 02  94905·
 2001 03  20904.
 2001 04  58840.
 2001 05  63825.
 2001 06  74801·
 2001 07  12828.
 2001 08  11815·
 2001 09  66869·
 2001 10  10907·
 2001 11  19898·
 2001 12  33925.
 2002 01 12851.
 2002 02 10933.
 2002 03 79951·
 2002 04 94918·
 2002 05 2917.
 2002 06 5842.
 2002 07 56818·
 2002 08 87783.
 2002 09 62950·
 2002 10 52862.
 2002 11 37884.
 2002 12 32981.
 2003 01  42918·
 2003 02  321054.
 2003 03  341044.
 2003 04  73972·
 2003 05  16951·
 2003 06  51920·
 2003 07  86957·
 2003 08  79975.
 2003 09  87994·
 2003 10  421078.
 2003 11  561040.
 2003 12  45989.
 2004 01 78983·
 2004 02 621040.
 2004 03 321058·
 2004 04 88998.
 2004 05 411014·
 2004 06 91992.
 2004 07 26979.
 2004 08 551024·
 2004 09 511129.
 2004 10 361136.
 2004 11 771055.
 2004 12 121095·
 2005 01  8983·
 2005 02  301068·
 2005 03  461147.
 2005 04  561140·
 2005 05  381137.
 2005 06  281062·
 2005 07  231002.
 2005 08  4982.
 2005 09  901174·
 2005 10  131158.
 2005 11  201092.
 2005 12  21121.
 2006 01 411095·
 2006 02 911218·
 2006 03 751176.
 2006 04 181175·
 2006 05 911185·
 2006 06 931086.
 2006 07 511147·
 2006 08 461083·
 2006 09 651234.
 2006 10 771181·
 2006 11 351208.
 2006 12 51186·
 2007 01  131253·
 2007 02  231286.
 2007 03  421284.
 2007 04  411205·
 2007 05  111196·
 2007 06  391132·
 2007 07  71126.
 2007 08  211193·
 2007 09  601260·
 2007 10  571309.
 2007 11  951288·
 2007 12  391302.
 2008 01 841297.
 2008 02 321328·
 2008 03 931276·
 2008 04 161274·
 2008 05 351270·
 2008 06 461266.
 2008 07 151266.
 2008 08 951276·
 2008 09 871342.
 2008 10 71272.
 2008 11 971350·
 2008 12 461259.
 2009 01  401351·
 2009 02  461412.
 2009 03  41368.
 2009 04  621376.
 2009 05  211284·
 2009 06  191190·
 2009 07  221234.
 2009 08  621107·
 2009 09  801099·
 2009 10  71204.
 2009 11  651234·
 2009 12  911149.
 2010 01 921196.
 2010 02 191241·
 2010 03 711289.
 2010 04 181243.
 2010 05 571343·
 2010 06 851240.
 2010 07 21084.
 2010 08 371096.
 2010 09 11180·
 2010 10 621252·
 2010 11 471196·
 2010 12 671266·
 2011 01  751257.
 2011 02  321346·
 2011 03  181339.
 2011 04  531339.
 2011 05  531320.
 2011 06  01328.
 2011 07  531317·
 2011 08  631262·
 2011 09  361335.
 2011 10  01304.
 2011 11  151365·
 2011 12  921375.
 2012 01 491323.
 2012 02 871451.
 2012 03 921487.
 2012 04 581406·
 2012 05 431461·
 2012 06 441278.
 2012 07 971215·
 2012 08 61341·
 2012 09 931404·
 2012 10 761494·
 2012 11 681475.
 2012 12 51469.
 2013 01  01306.
 2013 02  161413·
 2013 03  671396.
 2013 04  501449·
 2013 05  891394.
 2013 06  191319·
 2013 07  831306·
 2013 08  581400.
 2013 09  101429.
 2013 10  691454.
 2013 11  281373.
 2013 12  751287.
 2014 01 391320.
 2014 02 711467.
 2014 03 411528.
 2014 04 701545.
 2014 05 761405·
 2014 06 571381·
 2014 07 841328.
 2014 08 361317·
 2014 09 471388.
 2014 10 831501.
 2014 11 451501.
 2014 12 931472·
 2015 01  21412·
 2015 02  321473·
 2015 03  371499·
 2015 04  851488·
 2015 05  161535.
 2015 06  101424·
 2015 07  981460·
 2015 08  821424·
 2015 09  891449.
 2015 10  481575·
 2015 11  901490.
 2015 12  761542.
 2016 01 481459·
 2016 02 41541.
 2016 03 31556·
 2016 04 881568.
 2016 05 421605.
 2016 06 581423·
 2016 07 471397·
 2016 08 621444·
 2016 09 471526.
 2016 10 181618·
 2016 11 631546.
 2016 12 661509·
 2017 01  631466·
 2017 02  151545.
 2017 03  111608·
 2017 04  951602.
 2017 05  161552.
 2017 06  61480.
 2017 07  811474.
 2017 08  681418.
 2017 09  561579·


 2017 10  721502.
 2017 11  851555.
 2017 12  291684·
 2018 01 581627.
 2018 02 211649·
 2018 03 611561.
 2018 04 481589·
 2018 05 241556.
 2018 06 831533·
 2018 07 721615·
 2018 08 181484.
 2018 09 771629.
 2018 10 151811.
 2018 11 51646.
 2018 12 581615·
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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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