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 Series Title: Multiple Jobholders as a Percent of Employed, 65 years and over, 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 01 523.2
 1994 02 622.6
 1994 03 471.2
 1994 04 100·9
 1994 05 770.9
 1994 06 771·1
 1994 07 421.9
 1994 08 311.9
 1994 09 872·6
 1994 10 91.5
 1994 11 561·9
 1994 12 701·8
 1995 01  332·6
 1995 02  401.9
 1995 03  23·3
 1995 04  701·8
 1995 05  901.9
 1995 06  772.0
 1995 07  192.6
 1995 08  12.0
 1995 09  572.9
 1995 10  503·2
 1995 11  692·4
 1995 12  562.9
 1996 01 622.4
 1996 02 183·0
 1996 03 402·6
 1996 04 562.7
 1996 05 532·2
 1996 06 611·9
 1996 07 462.2
 1996 08 442·5
 1996 09 72.7
 1996 10 863.7
 1996 11 233.7
 1996 12 883·2
 1997 01  242.8
 1997 02  242.9
 1997 03  362·4
 1997 04  852·6
 1997 05  292·3
 1997 06  332·2
 1997 07  712.8
 1997 08  522·9
 1997 09  732.4
 1997 10  943.1
 1997 11  423.0
 1997 12  332·2
 1998 01 302·1
 1998 02 141·9
 1998 03 862·7
 1998 04 993·0
 1998 05 23.0
 1998 06 233·1
 1998 07 672.2
 1998 08 421·8
 1998 09 142·3
 1998 10 803.0
 1998 11 722·4
 1998 12 832·4
 1999 01  162·4
 1999 02  653·0
 1999 03  152·2
 1999 04  642.7
 1999 05  832.5
 1999 06  863.2
 1999 07  322·5
 1999 08  563·6
 1999 09  173.1
 1999 10  732.8
 1999 11  882.5
 1999 12  532·4
 2000 01 423.2
 2000 02 843.6
 2000 03 693·4
 2000 04 733·3
 2000 05 83·2
 2000 06 02.8
 2000 07 902·7
 2000 08 612·2
 2000 09 921·9
 2000 10 273·8
 2000 11 873.0
 2000 12 863·6
 2001 01  934·0
 2001 02  982.3
 2001 03  232.9
 2001 04  433.0
 2001 05  373·0
 2001 06  693·0
 2001 07  873.4
 2001 08  493.2
 2001 09  742.7
 2001 10  223.4
 2001 11  922·1
 2001 12  503.3
 2002 01 803·4
 2002 02 633·5
 2002 03 743·4
 2002 04 143·1
 2002 05 553·2
 2002 06 242.5
 2002 07 982·8
 2002 08 362·8
 2002 09 253·8
 2002 10 613.5
 2002 11 514.7
 2002 12 344.3
 2003 01  393.1
 2003 02  573·5
 2003 03  462.8
 2003 04  542·8
 2003 05  742·6
 2003 06  183.1
 2003 07  203.5
 2003 08  643.2
 2003 09  293.6
 2003 10  753·4
 2003 11  384.5
 2003 12  573.7
 2004 01 303.0
 2004 02 852.8
 2004 03 862.8
 2004 04 553·7
 2004 05 283·9
 2004 06 312·5
 2004 07 773.5
 2004 08 994.0
 2004 09 984.7
 2004 10 173·4
 2004 11 503.2
 2004 12 613·8
 2005 01  392·4
 2005 02  772·8
 2005 03  673.9
 2005 04  333.7
 2005 05  794.2
 2005 06  663.1
 2005 07  163·1
 2005 08  353·3
 2005 09  664.4
 2005 10  674·0
 2005 11  103.6
 2005 12  114.4
 2006 01 773.1
 2006 02 863.9
 2006 03 873·2
 2006 04 303.7
 2006 05 112.8
 2006 06 542·5
 2006 07 103.2
 2006 08 872·3
 2006 09 953.8
 2006 10 293.0
 2006 11 673.2
 2006 12 04.0
 2007 01  784.4
 2007 02  914·1
 2007 03  714·3
 2007 04  133·6
 2007 05  363.5
 2007 06  482.8
 2007 07  582·8
 2007 08  972·6
 2007 09  694.1
 2007 10  323·2
 2007 11  944·2
 2007 12  443·6
 2008 01 33.9
 2008 02 983.4
 2008 03 643·5
 2008 04 753.4
 2008 05 883·7
 2008 06 283·4
 2008 07 833·4
 2008 08 323.2
 2008 09 03.3
 2008 10 302·8
 2008 11 883.6
 2008 12 864·1
 2009 01  394·3
 2009 02  353.4
 2009 03  413.3
 2009 04  303.6
 2009 05  292.9
 2009 06  992·6
 2009 07  323·2
 2009 08  843.0
 2009 09  233.4
 2009 10  43·7
 2009 11  723·4
 2009 12  923.0
 2010 01 952·8
 2010 02 563·4
 2010 03 02·8
 2010 04 232.9
 2010 05 452.7
 2010 06 882.4
 2010 07 792.2
 2010 08 703·2
 2010 09 983·7
 2010 10 563.6
 2010 11 963.4
 2010 12 543.1
 2011 01  72·7
 2011 02  423.0
 2011 03  643.5
 2011 04  183·7
 2011 05  442·5
 2011 06  523.6
 2011 07  212·4
 2011 08  323.1
 2011 09  123·5
 2011 10  173·2
 2011 11  303.3
 2011 12  893.6
 2012 01 352.6
 2012 02 962·0
 2012 03 803.6
 2012 04 82·1
 2012 05 642.7
 2012 06 682·5
 2012 07 822.7
 2012 08 353.4
 2012 09 744·6
 2012 10 413.7
 2012 11 753·2
 2012 12 383.3
 2013 01  662·5
 2013 02  472·8
 2013 03  223·8
 2013 04  114·0
 2013 05  643·0
 2013 06  423.4
 2013 07  103·1
 2013 08  733·9
 2013 09  203.4
 2013 10  73.1
 2013 11  533·0
 2013 12  682.7
 2014 01 92·7
 2014 02 503.6
 2014 03 883·2
 2014 04 664·1
 2014 05 313.7
 2014 06 23·3
 2014 07 783.4
 2014 08 613.5
 2014 09 112.8
 2014 10 203·3
 2014 11 113.1
 2014 12 723·1
 2015 01  13.4
 2015 02  844·0
 2015 03  04·6
 2015 04  434.6
 2015 05  744·9
 2015 06  33·7
 2015 07  833.6
 2015 08  423.1
 2015 09  333·6
 2015 10  83·0
 2015 11  233.8
 2015 12  663.5
 2016 01 14·0
 2016 02 545·1
 2016 03 84.7
 2016 04 314·6
 2016 05 304·1
 2016 06 252.9
 2016 07 503·7
 2016 08 832.9
 2016 09 953·8
 2016 10 264·3
 2016 11 874.1
 2016 12 913·6
 2017 01  963.2
 2017 02  893.3
 2017 03  833·2
 2017 04  483·4
 2017 05  582·7
 2017 06  703·2


 2017 07  252·7
 2017 08  753.1
 2017 09  333·7
 2017 10  534.1
 2017 11  274.1
 2017 12  154.2
 2018 01 954.4
 2018 02 423·5
 2018 03 253.7
 2018 04 373·6
 2018 05 453.3
 2018 06 703·3
 2018 07 834.1
 2018 08 353.7
 2018 09 93·4
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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, 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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