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 Series Title: Multiple Jobholders as a Percent of Employed, 16-19 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 01 713·9
 1994 02 834.6
 1994 03 265.4
 1994 04 35.9
 1994 05 415·6
 1994 06 687.5
 1994 07 167.7
 1994 08 457·8
 1994 09 975·1
 1994 10 714·9
 1994 11 255.4
 1994 12 45·7
 1995 01  885·5
 1995 02  725.7
 1995 03  675·6
 1995 04  246.1
 1995 05  907.7
 1995 06  798·1
 1995 07  798.1
 1995 08  756·3
 1995 09  36·1
 1995 10  236.0
 1995 11  244.3
 1995 12  514.9
 1996 01 535.3
 1996 02 604·7
 1996 03 914.8
 1996 04 714.9
 1996 05 895.6
 1996 06 747·7
 1996 07 928.3
 1996 08 796.9
 1996 09 894.8
 1996 10 695·9
 1996 11 655·2
 1996 12 446.1
 1997 01  514·5
 1997 02  784·6
 1997 03  725·2
 1997 04  615·5
 1997 05  15.6
 1997 06  578.2
 1997 07  37.8
 1997 08  487.2
 1997 09  904·8
 1997 10  884·2
 1997 11  694.6
 1997 12  505.4
 1998 01 935·0
 1998 02 784·9
 1998 03 95·0
 1998 04 365.0
 1998 05 105·3
 1998 06 587.0
 1998 07 857·0
 1998 08 06·6
 1998 09 676.0
 1998 10 855·0
 1998 11 855.1
 1998 12 605·3
 1999 01  144·2
 1999 02  414.7
 1999 03  234.5
 1999 04  624·2
 1999 05  275.2
 1999 06  325.6
 1999 07  367.0
 1999 08  756.5
 1999 09  65·9
 1999 10  894.9
 1999 11  875·8
 1999 12  926·3
 2000 01 764·5
 2000 02 705·1
 2000 03 645.1
 2000 04 325·0
 2000 05 884.7
 2000 06 566.6
 2000 07 808·0
 2000 08 416.4
 2000 09 175.3
 2000 10 545·2
 2000 11 725·0
 2000 12 865·3
 2001 01  635·0
 2001 02  963.4
 2001 03  45·1
 2001 04  624.6
 2001 05  525·1
 2001 06  376.5
 2001 07  637·8
 2001 08  895.8
 2001 09  355.5
 2001 10  605·2
 2001 11  634.6
 2001 12  105·4
 2002 01 864.6
 2002 02 715·6
 2002 03 415.0
 2002 04 954·6
 2002 05 75·4
 2002 06 26·2
 2002 07 607.3
 2002 08 376·1
 2002 09 224.9
 2002 10 105·2
 2002 11 83.9
 2002 12 565.4
 2003 01  814.9
 2003 02  765.3
 2003 03  984·9
 2003 04  963.6
 2003 05  613.9
 2003 06  76.2
 2003 07  686.9
 2003 08  267·8
 2003 09  624.9
 2003 10  356·6
 2003 11  816·7
 2003 12  406·8
 2004 01 84·1
 2004 02 165·0
 2004 03 244·4
 2004 04 574.3
 2004 05 525·8
 2004 06 317.8
 2004 07 117·9
 2004 08 226·8
 2004 09 665·0
 2004 10 885·5
 2004 11 794.5
 2004 12 45·7
 2005 01  535·3
 2005 02  184.9
 2005 03  916.0
 2005 04  965.3
 2005 05  385·5
 2005 06  777.8
 2005 07  367.6
 2005 08  196.4
 2005 09  715·7
 2005 10  486.1
 2005 11  254.2
 2005 12  155·2
 2006 01 274·6
 2006 02 384.7
 2006 03 984.5
 2006 04 554.4
 2006 05 66·0
 2006 06 766·2
 2006 07 167·4
 2006 08 326·8
 2006 09 355·4
 2006 10 215.1
 2006 11 684·5
 2006 12 654·3
 2007 01  644.3
 2007 02  545.1
 2007 03  674·8
 2007 04  994·7
 2007 05  675·0
 2007 06  816.1
 2007 07  506.8
 2007 08  35.7
 2007 09  465.0
 2007 10  354·4
 2007 11  804.5
 2007 12  704.2
 2008 01 253·4
 2008 02 723.9
 2008 03 464·4
 2008 04 213·2
 2008 05 564.4
 2008 06 726.4
 2008 07 606·1
 2008 08 995.2
 2008 09 135·0
 2008 10 454·0
 2008 11 604.8
 2008 12 733·9
 2009 01  963·3
 2009 02  193·9
 2009 03  93.9
 2009 04  384·5
 2009 05  333·6
 2009 06  545·6
 2009 07  956·3
 2009 08  124·7
 2009 09  714·5
 2009 10  295.3
 2009 11  314.8
 2009 12  404.0
 2010 01 883·6
 2010 02 522.9
 2010 03 543·5
 2010 04 914.0
 2010 05 845·1
 2010 06 546·7
 2010 07 287.1
 2010 08 595.5
 2010 09 833·4
 2010 10 934.2
 2010 11 404.1
 2010 12 635.5
 2011 01  364.5
 2011 02  484·4
 2011 03  43.2
 2011 04  473·9
 2011 05  193·9
 2011 06  296·2
 2011 07  565·4
 2011 08  815.7
 2011 09  324·6
 2011 10  654.9
 2011 11  614·6
 2011 12  594·7
 2012 01 14.1
 2012 02 134·1
 2012 03 63.9
 2012 04 993.7
 2012 05 754·0
 2012 06 565.3
 2012 07 35.9
 2012 08 464·9
 2012 09 304·5
 2012 10 994·9
 2012 11 925·0
 2012 12 694·6
 2013 01  674·6
 2013 02  754.9
 2013 03  345·0
 2013 04  625.3
 2013 05  113·9
 2013 06  415.2
 2013 07  176·3
 2013 08  445·3
 2013 09  134.3
 2013 10  765.2
 2013 11  554·1
 2013 12  605·3
 2014 01 473·9
 2014 02 904·5
 2014 03 854·3
 2014 04 794·6
 2014 05 144·9
 2014 06 125.9
 2014 07 714.8
 2014 08 945·7
 2014 09 403.9
 2014 10 05·1
 2014 11 995.0
 2014 12 255·5
 2015 01  744·9
 2015 02  354·0
 2015 03  845·5
 2015 04  165·7
 2015 05  935·7
 2015 06  245.7
 2015 07  626.1
 2015 08  366·3
 2015 09  974.9
 2015 10  995.4
 2015 11  984.9
 2015 12  794.3
 2016 01 113·3
 2016 02 154.4
 2016 03 774.7
 2016 04 654·0
 2016 05 855.1
 2016 06 566.1
 2016 07 156.5
 2016 08 376.6
 2016 09 954·1
 2016 10 274·0
 2016 11 485.5
 2016 12 655.0
 2017 01  413·6
 2017 02  614·4
 2017 03  392.9
 2017 04  433.7
 2017 05  494·3
 2017 06  135.6
 2017 07  765.9
 2017 08  905.2
 2017 09  693.1


 2017 10  663.4
 2017 11  733·5
 2017 12  503·9
 2018 01 774.2
 2018 02 254.7
 2018 03 664·2
 2018 04 924.3
 2018 05 725.6
 2018 06 243.8
 2018 07 205·9
 2018 08 114.6
 2018 09 805·1
 2018 10 174·5
 2018 11 214.3
 2018 12 254.1
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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, 16-19 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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