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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 30637.
 1994 02 12619·
 1994 03 95525·
 1994 04 8521.
 1994 05 1530·
 1994 06 29550.
 1994 07 48590.
 1994 08 43598·
 1994 09 82633·
 1994 10 88664.
 1994 11 45661·
 1994 12 21610·
 1995 01  23631.
 1995 02  71637·
 1995 03  99650.
 1995 04  86664·
 1995 05  0645·
 1995 06  84614.
 1995 07  49572.
 1995 08  6616.
 1995 09  14681.
 1995 10  60685·
 1995 11  58638·
 1995 12  76660·
 1996 01 89590.
 1996 02 54676.
 1996 03 12678.
 1996 04 15670·
 1996 05 76722.
 1996 06 49675·
 1996 07 26668.
 1996 08 67673.
 1996 09 51686·
 1996 10 51733·
 1996 11 37703·
 1996 12 2708.
 1997 01  14671·
 1997 02  91737.
 1997 03  7744·
 1997 04  12698·
 1997 05  89784·
 1997 06  27729·
 1997 07  26716·
 1997 08  19707.
 1997 09  28766.
 1997 10  40797·
 1997 11  5784·
 1997 12  65742.
 1998 01 7784.
 1998 02 37829.
 1998 03 82786·
 1998 04 20816·
 1998 05 24780·
 1998 06 48724·
 1998 07 21686·
 1998 08 78738.
 1998 09 7811.
 1998 10 32838.
 1998 11 10857·
 1998 12 57844·
 1999 01  5801·
 1999 02  69844.
 1999 03  61894·
 1999 04  4868.
 1999 05  93817·
 1999 06  67790·
 1999 07  11776.
 1999 08  85740·
 1999 09  72793·
 1999 10  56849·
 1999 11  25838.
 1999 12  96858·
 2000 01 67883·
 2000 02 94947.
 2000 03 90916.
 2000 04 56836.
 2000 05 29863.
 2000 06 61796.
 2000 07 18854.
 2000 08 9832.
 2000 09 34896.
 2000 10 66855·
 2000 11 49880.
 2000 12 23852.
 2001 01  81880·
 2001 02  39905·
 2001 03  43904.
 2001 04  94840.
 2001 05  95825·
 2001 06  37801.
 2001 07  91828.
 2001 08  39815.
 2001 09  28869.
 2001 10  42907·
 2001 11  3898.
 2001 12  5925.
 2002 01 55851.
 2002 02 60933·
 2002 03 19951·
 2002 04 58918·
 2002 05 76917.
 2002 06 22842·
 2002 07 1818.
 2002 08 95783.
 2002 09 16950.
 2002 10 87862·
 2002 11 37884·
 2002 12 33981.
 2003 01  26918·
 2003 02  351054·
 2003 03  401044.
 2003 04  17972.
 2003 05  82951·
 2003 06  72920.
 2003 07  48957·
 2003 08  16975·
 2003 09  82994.
 2003 10  311078.
 2003 11  231040.
 2003 12  24989.
 2004 01 54983.
 2004 02 691040·
 2004 03 551058·
 2004 04 61998·
 2004 05 481014·
 2004 06 66992·
 2004 07 54979·
 2004 08 701024·
 2004 09 381129.
 2004 10 291136·
 2004 11 601055.
 2004 12 211095.
 2005 01  26983·
 2005 02  911068.
 2005 03  351147·
 2005 04  71140·
 2005 05  361137.
 2005 06  71062.
 2005 07  681002·
 2005 08  49982.
 2005 09  191174·
 2005 10  601158·
 2005 11  701092·
 2005 12  891121.
 2006 01 501095.
 2006 02 561218·
 2006 03 811176.
 2006 04 981175.
 2006 05 301185.
 2006 06 261086·
 2006 07 621147·
 2006 08 691083.
 2006 09 841234.
 2006 10 271181.
 2006 11 21208·
 2006 12 221186.
 2007 01  631253.
 2007 02  421286·
 2007 03  131284.
 2007 04  01205.
 2007 05  421196.
 2007 06  761132·
 2007 07  341126.
 2007 08  731193·
 2007 09  211260·
 2007 10  611309·
 2007 11  281288·
 2007 12  341302·
 2008 01 261297·
 2008 02 541328.
 2008 03 821276·
 2008 04 41274·
 2008 05 71270.
 2008 06 371266.
 2008 07 81266·
 2008 08 261276·
 2008 09 391342·
 2008 10 161272.
 2008 11 461350.
 2008 12 701259.
 2009 01  231351.
 2009 02  221412·
 2009 03  581368·
 2009 04  281376·
 2009 05  851284·
 2009 06  131190·
 2009 07  321234.
 2009 08  221107.
 2009 09  741099·
 2009 10  701204·
 2009 11  811234·
 2009 12  941149.
 2010 01 661196.
 2010 02 01241·
 2010 03 421289.
 2010 04 141243.
 2010 05 621343·
 2010 06 341240·
 2010 07 781084.
 2010 08 761096·
 2010 09 871180.
 2010 10 291252·
 2010 11 781196.
 2010 12 991266.
 2011 01  901257·
 2011 02  661346·
 2011 03  551339·
 2011 04  281339.
 2011 05  491320.
 2011 06  531328.
 2011 07  451317·
 2011 08  311262·
 2011 09  621335.
 2011 10  211304.
 2011 11  131365.
 2011 12  21375·
 2012 01 561323·
 2012 02 261451.
 2012 03 461487.
 2012 04 611406.
 2012 05 811461.
 2012 06 501278.
 2012 07 561215.
 2012 08 531341·
 2012 09 121404.
 2012 10 01494.
 2012 11 821475·
 2012 12 451469.
 2013 01  491306·
 2013 02  81413·
 2013 03  871396.
 2013 04  321449.
 2013 05  181394.
 2013 06  301319·
 2013 07  591306.
 2013 08  341400·
 2013 09  701429·
 2013 10  471454.
 2013 11  91373.
 2013 12  941287.
 2014 01 791320.
 2014 02 671467·
 2014 03 781528·
 2014 04 811545.
 2014 05 471405·
 2014 06 211381·
 2014 07 261328.
 2014 08 901317.
 2014 09 981388·
 2014 10 651501·
 2014 11 421501·
 2014 12 411472.
 2015 01  831412.
 2015 02  821473·
 2015 03  401499·
 2015 04  761488·
 2015 05  771535·
 2015 06  781424·
 2015 07  561460.
 2015 08  651424·
 2015 09  821449·
 2015 10  841575·
 2015 11  541490·
 2015 12  31542.
 2016 01 211459·
 2016 02 581541·
 2016 03 221556.
 2016 04 71568.
 2016 05 451605.
 2016 06 801423.
 2016 07 721397.
 2016 08 241444.
 2016 09 311526·
 2016 10 581618.
 2016 11 431546.
 2016 12 211509.
 2017 01  771466.
 2017 02  231545·
 2017 03  971608·
 2017 04  931602.


 2017 05  111552·
 2017 06  321480·
 2017 07  221474·
 2017 08  591418.
 2017 09  811579.
 2017 10  661502.
 2017 11  321555·
 2017 12  631684.
 2018 01 641627.
 2018 02 321649.
 2018 03 631561.
 2018 04 751589.
 2018 05 601556.
 2018 06 621533·
 2018 07 801615·
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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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