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 Series Title: Employment Level: Multiple Jobholders 55-64 years, 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 21223.
 1994 02 84228·
 1994 03 53216.
 1994 04 67188.
 1994 05 90187.
 1994 06 90209·
 1994 07 35188·
 1994 08 23205·
 1994 09 32220.
 1994 10 1222·
 1994 11 24249.
 1994 12 84242·
 1995 01  97216.
 1995 02  98218.
 1995 03  34236.
 1995 04  94246·
 1995 05  61239·
 1995 06  88221·
 1995 07  1210.
 1995 08  22239·
 1995 09  23248·
 1995 10  3291·
 1995 11  89238·
 1995 12  62257.
 1996 01 9201·
 1996 02 99250.
 1996 03 86224.
 1996 04 35201.
 1996 05 70244·
 1996 06 58235·
 1996 07 5248·
 1996 08 82237·
 1996 09 81248·
 1996 10 87272·
 1996 11 83224.
 1996 12 75235.
 1997 01  42237.
 1997 02  17280·
 1997 03  84294·
 1997 04  6281.
 1997 05  79299.
 1997 06  5267.
 1997 07  94252·
 1997 08  95263.
 1997 09  42292.
 1997 10  32278.
 1997 11  28251.
 1997 12  87228.
 1998 01 6270.
 1998 02 5318·
 1998 03 23295.
 1998 04 50324.
 1998 05 73281.
 1998 06 56239.
 1998 07 42252·
 1998 08 78290.
 1998 09 66309.
 1998 10 41355·
 1998 11 73345.
 1998 12 91363.
 1999 01  37325·
 1999 02  43345·
 1999 03  29324.
 1999 04  33309.
 1999 05  62291·
 1999 06  67273·
 1999 07  47281.
 1999 08  72243·
 1999 09  39287.
 1999 10  45373·
 1999 11  90355·
 1999 12  4359·
 2000 01 96316·
 2000 02 35383.
 2000 03 48362.
 2000 04 47313.
 2000 05 82313·
 2000 06 17276·
 2000 07 31335.
 2000 08 45301.
 2000 09 72323·
 2000 10 98306·
 2000 11 79340.
 2000 12 67333·
 2001 01  68332.
 2001 02  11354·
 2001 03  53369·
 2001 04  8337.
 2001 05  94334·
 2001 06  10321.
 2001 07  43302.
 2001 08  87285·
 2001 09  0296.
 2001 10  79306·
 2001 11  60352.
 2001 12  48318.
 2002 01 63323·
 2002 02 24348.
 2002 03 44380.
 2002 04 59367·
 2002 05 83371·
 2002 06 76323.
 2002 07 56317·
 2002 08 16326·
 2002 09 84371.
 2002 10 92355·
 2002 11 84386.
 2002 12 37427·
 2003 01  18372·
 2003 02  54441.
 2003 03  42452·
 2003 04  67386.
 2003 05  59403.
 2003 06  69377·
 2003 07  67353·
 2003 08  74396.
 2003 09  9402.
 2003 10  67461·
 2003 11  22437·
 2003 12  53403.
 2004 01 92419·
 2004 02 6466.
 2004 03 96459·
 2004 04 22419·
 2004 05 59394·
 2004 06 67379.
 2004 07 0389.
 2004 08 27398·
 2004 09 85418·
 2004 10 58435·
 2004 11 74401·
 2004 12 36431.
 2005 01  71407.
 2005 02  9443·
 2005 03  79482·
 2005 04  43479.
 2005 05  42440·
 2005 06  77411·
 2005 07  4374.
 2005 08  67345·
 2005 09  49462·
 2005 10  44422·
 2005 11  61418·
 2005 12  53433.
 2006 01 67417·
 2006 02 16511·
 2006 03 89515·
 2006 04 70482·
 2006 05 95487·
 2006 06 26421·
 2006 07 50477·
 2006 08 12457·
 2006 09 61478·
 2006 10 29470.
 2006 11 32491.
 2006 12 97451.
 2007 01  13487·
 2007 02  8539·
 2007 03  49536·
 2007 04  71531.
 2007 05  28484·
 2007 06  68459·
 2007 07  37440.
 2007 08  2429.
 2007 09  6503·
 2007 10  43553.
 2007 11  60523·
 2007 12  84525.
 2008 01 72562.
 2008 02 88557·
 2008 03 6513·
 2008 04 37497·
 2008 05 76534.
 2008 06 85505·
 2008 07 88521·
 2008 08 5540·
 2008 09 95547·
 2008 10 40515·
 2008 11 44548·
 2008 12 56493.
 2009 01  28577·
 2009 02  86637.
 2009 03  35603·
 2009 04  85626·
 2009 05  0538.
 2009 06  79473.
 2009 07  52501.
 2009 08  12482·
 2009 09  63434.
 2009 10  0512.
 2009 11  5524·
 2009 12  79471.
 2010 01 92564.
 2010 02 56557.
 2010 03 33585.
 2010 04 57567·
 2010 05 86580.
 2010 06 79507·
 2010 07 0436·
 2010 08 40456·
 2010 09 72513.
 2010 10 26547.
 2010 11 92500·
 2010 12 46562·
 2011 01  99584.
 2011 02  78582·
 2011 03  24598·
 2011 04  20577·
 2011 05  44540.
 2011 06  41536.
 2011 07  32571·
 2011 08  31530·
 2011 09  6510·
 2011 10  48534.
 2011 11  79566·
 2011 12  73597·
 2012 01 11574·
 2012 02 55680.
 2012 03 54611.
 2012 04 65593.
 2012 05 9636.
 2012 06 44565.
 2012 07 70483·
 2012 08 52544·
 2012 09 76538·
 2012 10 21585.
 2012 11 63621.
 2012 12 2605.
 2013 01  12533.
 2013 02  18550.
 2013 03  98553·
 2013 04  10567·
 2013 05  42609·
 2013 06  91524·
 2013 07  62494·
 2013 08  95567.
 2013 09  18550.
 2013 10  23618·
 2013 11  67574·
 2013 12  0544.
 2014 01 13565.
 2014 02 20569·
 2014 03 53650.
 2014 04 96681·
 2014 05 29564·
 2014 06 13581·
 2014 07 81505.
 2014 08 75534·
 2014 09 92563·
 2014 10 59598·
 2014 11 40620·
 2014 12 59632·
 2015 01  50549.
 2015 02  40554.
 2015 03  42543·
 2015 04  89576·
 2015 05  81564.
 2015 06  63563·
 2015 07  26564.
 2015 08  36540·
 2015 09  84584.
 2015 10  58643·
 2015 11  54584·
 2015 12  95634·
 2016 01 84559·
 2016 02 83569.
 2016 03 14599.
 2016 04 82569·
 2016 05 32647·
 2016 06 20589.
 2016 07 19547.
 2016 08 44544·
 2016 09 4614.
 2016 10 75636.
 2016 11 7602·
 2016 12 50595.
 2017 01  99537.
 2017 02  79547.
 2017 03  41582·
 2017 04  92562·


 2017 05  43576·
 2017 06  90573.
 2017 07  9537·
 2017 08  91559.
 2017 09  88550·
 2017 10  88548.
 2017 11  23570·
 2017 12  91612·
 2018 01 6529·
 2018 02 81607.
 2018 03 22530·
 2018 04 60558·
 2018 05 1590.
 2018 06 0622.
 2018 07 68634.
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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 55-64 years, Women: 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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