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 Series Title: Multiple Jobholders as a Percent of Employed, 16-19 years, Women: NSA
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 1994 01 203·9
 1994 02 754·6
 1994 03 455·4
 1994 04 245·9
 1994 05 345·6
 1994 06 967.5
 1994 07 377·7
 1994 08 107·8
 1994 09 525·1
 1994 10 534·9
 1994 11 685·4
 1994 12 335.7
 1995 01  245.5
 1995 02  285.7
 1995 03  505·6
 1995 04  366·1
 1995 05  257.7
 1995 06  278.1
 1995 07  228.1
 1995 08  896·3
 1995 09  576·1
 1995 10  826.0
 1995 11  454.3
 1995 12  854·9
 1996 01 445·3
 1996 02 494.7
 1996 03 94.8
 1996 04 444·9
 1996 05 375.6
 1996 06 117·7
 1996 07 258.3
 1996 08 106·9
 1996 09 124·8
 1996 10 735·9
 1996 11 325·2
 1996 12 516·1
 1997 01  674·5
 1997 02  684.6
 1997 03  935·2
 1997 04  635.5
 1997 05  305.6
 1997 06  518.2
 1997 07  957.8
 1997 08  657·2
 1997 09  504.8
 1997 10  64.2
 1997 11  524·6
 1997 12  995.4
 1998 01 35.0
 1998 02 384·9
 1998 03 15·0
 1998 04 365·0
 1998 05 895.3
 1998 06 797·0
 1998 07 57.0
 1998 08 706·6
 1998 09 336·0
 1998 10 855·0
 1998 11 525.1
 1998 12 205.3
 1999 01  874.2
 1999 02  394.7
 1999 03  564·5
 1999 04  304.2
 1999 05  245·2
 1999 06  475·6
 1999 07  537.0
 1999 08  696.5
 1999 09  475.9
 1999 10  414·9
 1999 11  75·8
 1999 12  316·3
 2000 01 794·5
 2000 02 765·1
 2000 03 55·1
 2000 04 355.0
 2000 05 724.7
 2000 06 366.6
 2000 07 628·0
 2000 08 266·4
 2000 09 15·3
 2000 10 265·2
 2000 11 135·0
 2000 12 735·3
 2001 01  665·0
 2001 02  783.4
 2001 03  235.1
 2001 04  704·6
 2001 05  935·1
 2001 06  496.5
 2001 07  797·8
 2001 08  355.8
 2001 09  325.5
 2001 10  205.2
 2001 11  944·6
 2001 12  145·4
 2002 01 584·6
 2002 02 995.6
 2002 03 75·0
 2002 04 754.6
 2002 05 725·4
 2002 06 166.2
 2002 07 797·3
 2002 08 136.1
 2002 09 994.9
 2002 10 285·2
 2002 11 993.9
 2002 12 465.4
 2003 01  904·9
 2003 02  185·3
 2003 03  794·9
 2003 04  183·6
 2003 05  203·9
 2003 06  916·2
 2003 07  596·9
 2003 08  07·8
 2003 09  894·9
 2003 10  796.6
 2003 11  996.7
 2003 12  846·8
 2004 01 234·1
 2004 02 395·0
 2004 03 894·4
 2004 04 904.3
 2004 05 725·8
 2004 06 537·8
 2004 07 417.9
 2004 08 636·8
 2004 09 125.0
 2004 10 275.5
 2004 11 944·5
 2004 12 715.7
 2005 01  435.3
 2005 02  934.9
 2005 03  96·0
 2005 04  95·3
 2005 05  905.5
 2005 06  77.8
 2005 07  757·6
 2005 08  956.4
 2005 09  35·7
 2005 10  516.1
 2005 11  64·2
 2005 12  745·2
 2006 01 594.6
 2006 02 334·7
 2006 03 374·5
 2006 04 154.4
 2006 05 586·0
 2006 06 826·2
 2006 07 347.4
 2006 08 126·8
 2006 09 245·4
 2006 10 575.1
 2006 11 834.5
 2006 12 854.3
 2007 01  94·3
 2007 02  385·1
 2007 03  974.8
 2007 04  774·7
 2007 05  875·0
 2007 06  326·1
 2007 07  146·8
 2007 08  575.7
 2007 09  595.0
 2007 10  724·4
 2007 11  984·5
 2007 12  204·2
 2008 01 513.4
 2008 02 133.9
 2008 03 354·4
 2008 04 843.2
 2008 05 134·4
 2008 06 376·4
 2008 07 406.1
 2008 08 955.2
 2008 09 205·0
 2008 10 514·0
 2008 11 494.8
 2008 12 213.9
 2009 01  723·3
 2009 02  873.9
 2009 03  263.9
 2009 04  554.5
 2009 05  963·6
 2009 06  15.6
 2009 07  596.3
 2009 08  194.7
 2009 09  414·5
 2009 10  745.3
 2009 11  604.8
 2009 12  544·0
 2010 01 823.6
 2010 02 152·9
 2010 03 683.5
 2010 04 324·0
 2010 05 215.1
 2010 06 536.7
 2010 07 447·1
 2010 08 455.5
 2010 09 833.4
 2010 10 464.2
 2010 11 784.1
 2010 12 135.5
 2011 01  184.5
 2011 02  754·4
 2011 03  823.2
 2011 04  803·9
 2011 05  03.9
 2011 06  476·2
 2011 07  945.4
 2011 08  155.7
 2011 09  324.6
 2011 10  944·9
 2011 11  774.6
 2011 12  134·7
 2012 01 384.1
 2012 02 724·1
 2012 03 193.9
 2012 04 923.7
 2012 05 684.0
 2012 06 635.3
 2012 07 325.9
 2012 08 974.9
 2012 09 994·5
 2012 10 744.9
 2012 11 545·0
 2012 12 964·6
 2013 01  294.6
 2013 02  364.9
 2013 03  495.0
 2013 04  845·3
 2013 05  863.9
 2013 06  55.2
 2013 07  56·3
 2013 08  815.3
 2013 09  184.3
 2013 10  645·2
 2013 11  334.1
 2013 12  295·3
 2014 01 23·9
 2014 02 204·5
 2014 03 734·3
 2014 04 994·6
 2014 05 384·9
 2014 06 35·9
 2014 07 864·8
 2014 08 855.7
 2014 09 513.9
 2014 10 705·1
 2014 11 625.0
 2014 12 55.5
 2015 01  924·9
 2015 02  44·0
 2015 03  125.5
 2015 04  35·7
 2015 05  365·7
 2015 06  105·7
 2015 07  746.1
 2015 08  506·3
 2015 09  834·9
 2015 10  205·4
 2015 11  134·9
 2015 12  394.3
 2016 01 593.3
 2016 02 924·4
 2016 03 144·7
 2016 04 884.0
 2016 05 145.1
 2016 06 66·1
 2016 07 926·5
 2016 08 436·6
 2016 09 244·1
 2016 10 694·0
 2016 11 845.5
 2016 12 735.0
 2017 01  893.6
 2017 02  144·4
 2017 03  532·9
 2017 04  713·7


 2017 05  354·3
 2017 06  955·6
 2017 07  885.9
 2017 08  575·2
 2017 09  113.1
 2017 10  963·4
 2017 11  03.5
 2017 12  753·9
 2018 01 934.2
 2018 02 234·7
 2018 03 274.2
 2018 04 934.3
 2018 05 825.6
 2018 06 73.8
 2018 07 345.9
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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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