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 Series Title: Multiple Jobholders as a Percent of Employed, 65 years and over, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 523.6
 1994 02 702·5
 1994 03 842.1
 1994 04 841.9
 1994 05 852.9
 1994 06 21.9
 1994 07 552.9
 1994 08 912.5
 1994 09 402.8
 1994 10 893·5
 1994 11 833·2
 1994 12 532·8
 1995 01  694·3
 1995 02  123·5
 1995 03  802.8
 1995 04  143.9
 1995 05  453.1
 1995 06  782·8
 1995 07  862·4
 1995 08  432·8
 1995 09  713·0
 1995 10  183·2
 1995 11  633·4
 1995 12  342·5
 1996 01 702.9
 1996 02 903·3
 1996 03 984.5
 1996 04 73.7
 1996 05 944.3
 1996 06 754.5
 1996 07 54.6
 1996 08 63·7
 1996 09 193.8
 1996 10 803·5
 1996 11 214.0
 1996 12 993·4
 1997 01  433.4
 1997 02  353·1
 1997 03  103·5
 1997 04  812.7
 1997 05  934.1
 1997 06  993.7
 1997 07  592.6
 1997 08  713·4
 1997 09  192·7
 1997 10  513.7
 1997 11  813·7
 1997 12  133·2
 1998 01 973.7
 1998 02 03.7
 1998 03 143.5
 1998 04 773.3
 1998 05 273·3
 1998 06 772·9
 1998 07 222·8
 1998 08 563·0
 1998 09 332.8
 1998 10 392·9
 1998 11 913·5
 1998 12 703.8
 1999 01  682.9
 1999 02  663.4
 1999 03  353·4
 1999 04  623.1
 1999 05  53·1
 1999 06  663·1
 1999 07  914.2
 1999 08  33.5
 1999 09  473·5
 1999 10  703·5
 1999 11  233.3
 1999 12  854·1
 2000 01 164·9
 2000 02 354.3
 2000 03 184.2
 2000 04 284.2
 2000 05 663·7
 2000 06 434.5
 2000 07 904·0
 2000 08 773.9
 2000 09 694·1
 2000 10 03.7
 2000 11 763·7
 2000 12 13.6
 2001 01  284·4
 2001 02  383.6
 2001 03  393.8
 2001 04  922·9
 2001 05  673.2
 2001 06  143.5
 2001 07  673.7
 2001 08  723.9
 2001 09  375.0
 2001 10  84·2
 2001 11  734.1
 2001 12  834.4
 2002 01 133·5
 2002 02 293.7
 2002 03 943·4
 2002 04 963.0
 2002 05 962·4
 2002 06 72·7
 2002 07 943.2
 2002 08 42.7
 2002 09 113.1
 2002 10 992·6
 2002 11 613.1
 2002 12 253·9
 2003 01  83·5
 2003 02  873·9
 2003 03  73.3
 2003 04  63·9
 2003 05  623·1
 2003 06  773·2
 2003 07  713·1
 2003 08  142.9
 2003 09  753·0
 2003 10  14·0
 2003 11  143.3
 2003 12  433.3
 2004 01 723.5
 2004 02 163·5
 2004 03 263.6
 2004 04 142·8
 2004 05 23.4
 2004 06 32.8
 2004 07 193·6
 2004 08 693.5
 2004 09 425.5
 2004 10 695.0
 2004 11 303·3
 2004 12 793·9
 2005 01  913·5
 2005 02  463.0
 2005 03  243·1
 2005 04  373.6
 2005 05  754.3
 2005 06  893·6
 2005 07  874.9
 2005 08  623.8
 2005 09  454.1
 2005 10  824·3
 2005 11  323.8
 2005 12  993·6
 2006 01 762.7
 2006 02 303·6
 2006 03 993·3
 2006 04 163·0
 2006 05 682.9
 2006 06 663·5
 2006 07 483·6
 2006 08 83.4
 2006 09 473.9
 2006 10 453·4
 2006 11 693·4
 2006 12 953·6
 2007 01  624.0
 2007 02  494.3
 2007 03  734.4
 2007 04  194·0
 2007 05  913·8
 2007 06  863·6
 2007 07  03.6
 2007 08  514.1
 2007 09  324.5
 2007 10  863.7
 2007 11  123·5
 2007 12  844.3
 2008 01 114.3
 2008 02 74·5
 2008 03 965.1
 2008 04 384.7
 2008 05 794.3
 2008 06 304·4
 2008 07 663·2
 2008 08 563·6
 2008 09 104·1
 2008 10 612.3
 2008 11 603·4
 2008 12 83·3
 2009 01  74·1
 2009 02  324·6
 2009 03  404·6
 2009 04  883.5
 2009 05  933·7
 2009 06  14.0
 2009 07  943.8
 2009 08  152·8
 2009 09  193.1
 2009 10  482.7
 2009 11  363·0
 2009 12  343·1
 2010 01 602·9
 2010 02 803·1
 2010 03 33·5
 2010 04 133·5
 2010 05 183.1
 2010 06 293.1
 2010 07 583.1
 2010 08 462·5
 2010 09 173.0
 2010 10 513·2
 2010 11 884·2
 2010 12 533·8
 2011 01  84.1
 2011 02  295.0
 2011 03  84·3
 2011 04  783.9
 2011 05  664·3
 2011 06  683.5
 2011 07  543·1
 2011 08  893·4
 2011 09  914·1
 2011 10  13·9
 2011 11  904.1
 2011 12  824·2
 2012 01 94·3
 2012 02 844.6
 2012 03 34.2
 2012 04 754·2
 2012 05 714.0
 2012 06 983.8
 2012 07 73.9
 2012 08 133.6
 2012 09 513.9
 2012 10 514·6
 2012 11 394·1
 2012 12 644·2
 2013 01  503·3
 2013 02  734·2
 2013 03  623.9
 2013 04  223·6
 2013 05  944·2
 2013 06  233·4
 2013 07  643.5
 2013 08  83·2
 2013 09  333·5
 2013 10  803·8
 2013 11  584·4
 2013 12  643·8
 2014 01 413.9
 2014 02 534.4
 2014 03 824.3
 2014 04 604·2
 2014 05 214.0
 2014 06 723.4
 2014 07 983.0
 2014 08 913.6
 2014 09 963.5
 2014 10 943.2
 2014 11 954.0
 2014 12 753·6
 2015 01  184·6
 2015 02  04·1
 2015 03  864·5
 2015 04  564·2
 2015 05  623.3
 2015 06  993.2
 2015 07  83·8
 2015 08  43.3
 2015 09  283·3
 2015 10  203·6
 2015 11  243·7
 2015 12  133·2
 2016 01 423·6
 2016 02 214·2
 2016 03 223.7
 2016 04 24.6
 2016 05 534.6
 2016 06 844.0
 2016 07 164.0
 2016 08 154·2
 2016 09 383.6
 2016 10 143·9
 2016 11 423.7
 2016 12 213·8
 2017 01  974.1
 2017 02  444·6


 2017 03  654·2
 2017 04  144.6
 2017 05  544·0
 2017 06  303.7
 2017 07  704·1
 2017 08  143·8
 2017 09  625.1
 2017 10  554.2
 2017 11  734·0
 2017 12  644.3
 2018 01 944·9
 2018 02 243.9
 2018 03 104.0
 2018 04 343.9
 2018 05 523.6
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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: Multiple Jobholders as a Percent of Employed, 65 years and over, Men: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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