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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 01 133.2
 1994 02 822·6
 1994 03 751·2
 1994 04 370·9
 1994 05 390.9
 1994 06 531·1
 1994 07 541·9
 1994 08 481.9
 1994 09 182·6
 1994 10 91·5
 1994 11 221.9
 1994 12 451.8
 1995 01  22.6
 1995 02  331.9
 1995 03  913·3
 1995 04  721.8
 1995 05  661·9
 1995 06  312.0
 1995 07  992.6
 1995 08  992·0
 1995 09  92.9
 1995 10  353.2
 1995 11  92.4
 1995 12  192·9
 1996 01 582·4
 1996 02 23.0
 1996 03 92.6
 1996 04 522·7
 1996 05 632.2
 1996 06 121·9
 1996 07 122.2
 1996 08 422.5
 1996 09 992·7
 1996 10 743.7
 1996 11 563·7
 1996 12 583.2
 1997 01  662·8
 1997 02  182·9
 1997 03  42.4
 1997 04  942·6
 1997 05  902·3
 1997 06  12.2
 1997 07  432·8
 1997 08  702·9
 1997 09  222·4
 1997 10  53·1
 1997 11  863.0
 1997 12  292.2
 1998 01 372.1
 1998 02 361·9
 1998 03 722·7
 1998 04 403·0
 1998 05 343.0
 1998 06 263·1
 1998 07 632·2
 1998 08 981.8
 1998 09 412.3
 1998 10 323·0
 1998 11 472·4
 1998 12 222·4
 1999 01  62·4
 1999 02  353.0
 1999 03  372.2
 1999 04  562.7
 1999 05  52·5
 1999 06  423.2
 1999 07  712·5
 1999 08  693·6
 1999 09  393.1
 1999 10  852.8
 1999 11  112.5
 1999 12  552.4
 2000 01 333.2
 2000 02 193.6
 2000 03 473.4
 2000 04 343.3
 2000 05 383·2
 2000 06 282·8
 2000 07 902·7
 2000 08 502.2
 2000 09 291·9
 2000 10 173·8
 2000 11 783.0
 2000 12 713.6
 2001 01  54.0
 2001 02  192·3
 2001 03  752·9
 2001 04  913·0
 2001 05  943·0
 2001 06  893.0
 2001 07  673·4
 2001 08  313·2
 2001 09  442·7
 2001 10  93.4
 2001 11  692·1
 2001 12  343·3
 2002 01 323·4
 2002 02 873.5
 2002 03 183.4
 2002 04 693.1
 2002 05 583.2
 2002 06 532.5
 2002 07 772·8
 2002 08 312·8
 2002 09 473·8
 2002 10 653.5
 2002 11 344·7
 2002 12 384·3
 2003 01  503·1
 2003 02  43·5
 2003 03  12.8
 2003 04  352·8
 2003 05  412.6
 2003 06  763·1
 2003 07  173·5
 2003 08  913.2
 2003 09  223.6
 2003 10  143.4
 2003 11  454·5
 2003 12  993·7
 2004 01 183·0
 2004 02 732.8
 2004 03 712·8
 2004 04 803.7
 2004 05 793·9
 2004 06 362·5
 2004 07 103·5
 2004 08 774.0
 2004 09 804·7
 2004 10 93.4
 2004 11 993·2
 2004 12 593·8
 2005 01  232.4
 2005 02  242·8
 2005 03  13·9
 2005 04  213·7
 2005 05  314·2
 2005 06  383·1
 2005 07  43.1
 2005 08  823.3
 2005 09  574.4
 2005 10  314·0
 2005 11  213.6
 2005 12  854.4
 2006 01 743·1
 2006 02 123·9
 2006 03 903·2
 2006 04 03.7
 2006 05 852.8
 2006 06 102·5
 2006 07 733·2
 2006 08 222.3
 2006 09 133.8
 2006 10 843.0
 2006 11 583.2
 2006 12 684.0
 2007 01  94.4
 2007 02  144·1
 2007 03  594·3
 2007 04  843.6
 2007 05  493·5
 2007 06  82.8
 2007 07  132.8
 2007 08  392.6
 2007 09  334.1
 2007 10  973.2
 2007 11  844·2
 2007 12  263·6
 2008 01 863·9
 2008 02 373·4
 2008 03 583.5
 2008 04 643.4
 2008 05 603.7
 2008 06 113.4
 2008 07 493·4
 2008 08 993·2
 2008 09 283.3
 2008 10 242·8
 2008 11 953·6
 2008 12 994·1
 2009 01  934·3
 2009 02  93·4
 2009 03  593.3
 2009 04  583·6
 2009 05  782.9
 2009 06  222.6
 2009 07  283.2
 2009 08  963.0
 2009 09  353·4
 2009 10  453.7
 2009 11  163.4
 2009 12  563·0
 2010 01 382.8
 2010 02 843·4
 2010 03 612.8
 2010 04 72.9
 2010 05 892.7
 2010 06 722.4
 2010 07 242·2
 2010 08 453·2
 2010 09 123.7
 2010 10 643.6
 2010 11 953.4
 2010 12 873·1
 2011 01  582.7
 2011 02  423·0
 2011 03  853.5
 2011 04  783·7
 2011 05  32·5
 2011 06  143.6
 2011 07  342.4
 2011 08  883·1
 2011 09  473·5
 2011 10  103.2
 2011 11  43.3
 2011 12  93·6
 2012 01 142.6
 2012 02 872.0
 2012 03 823.6
 2012 04 632.1
 2012 05 562.7
 2012 06 272·5
 2012 07 822.7
 2012 08 923·4
 2012 09 484.6
 2012 10 373·7
 2012 11 413·2
 2012 12 653·3
 2013 01  912·5
 2013 02  482·8
 2013 03  233.8
 2013 04  784·0
 2013 05  93·0
 2013 06  173·4
 2013 07  153·1
 2013 08  493·9
 2013 09  533.4
 2013 10  263.1
 2013 11  303·0
 2013 12  212·7
 2014 01 992.7
 2014 02 803.6
 2014 03 63·2
 2014 04 664·1
 2014 05 463.7
 2014 06 123.3
 2014 07 63.4
 2014 08 753·5
 2014 09 212.8
 2014 10 793.3
 2014 11 183.1
 2014 12 693·1
 2015 01  733·4
 2015 02  624.0
 2015 03  554·6
 2015 04  924·6
 2015 05  794·9
 2015 06  673.7
 2015 07  553.6
 2015 08  133.1
 2015 09  383.6
 2015 10  273.0
 2015 11  803·8
 2015 12  263.5
 2016 01 764·0
 2016 02 985·1
 2016 03 184.7
 2016 04 504.6
 2016 05 434.1
 2016 06 612.9
 2016 07 833.7
 2016 08 292.9
 2016 09 153·8
 2016 10 234.3
 2016 11 114·1
 2016 12 333·6
 2017 01  913.2
 2017 02  173.3
 2017 03  673.2
 2017 04  553.4
 2017 05  982.7
 2017 06  983·2
 2017 07  382·7
 2017 08  153.1
 2017 09  863·7


 2017 10  484·1
 2017 11  374·1
 2017 12  574·2
 2018 01 304.4
 2018 02 743·5
 2018 03 23·7
 2018 04 503.6
 2018 05 313.3
 2018 06 73.3
 2018 07 954.1
 2018 08 883.7
 2018 09 143·4
 2018 10 55·1
 2018 11 43·9
 2018 12 914.3
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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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