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 Series Title: Multiple Jobholders as a Percent of Employed, 16-19 years, 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 01 282·6
 1994 02 422·5
 1994 03 222.6
 1994 04 515.1
 1994 05 394.9
 1994 06 944.6
 1994 07 306.2
 1994 08 885·9
 1994 09 912·7
 1994 10 203.2
 1994 11 133·2
 1994 12 984.2
 1995 01  353·6
 1995 02  03·2
 1995 03  863.1
 1995 04  264.6
 1995 05  464.4
 1995 06  437·0
 1995 07  857·0
 1995 08  415·4
 1995 09  244·3
 1995 10  794·3
 1995 11  743.3
 1995 12  363.9
 1996 01 953·4
 1996 02 644·3
 1996 03 414.1
 1996 04 333.9
 1996 05 105.1
 1996 06 825.8
 1996 07 985·5
 1996 08 734.6
 1996 09 434.4
 1996 10 383.3
 1996 11 833·9
 1996 12 273.9
 1997 01  964·9
 1997 02  643·5
 1997 03  593·8
 1997 04  893·5
 1997 05  934.0
 1997 06  165·8
 1997 07  145.4
 1997 08  774·1
 1997 09  843.5
 1997 10  773.8
 1997 11  613.9
 1997 12  374.0
 1998 01 463·3
 1998 02 523.6
 1998 03 383·3
 1998 04 363·8
 1998 05 794.0
 1998 06 744·8
 1998 07 85.5
 1998 08 704.2
 1998 09 83.1
 1998 10 992·9
 1998 11 583.2
 1998 12 574.0
 1999 01  833·3
 1999 02  93·4
 1999 03  22·5
 1999 04  423.6
 1999 05  803.9
 1999 06  114.8
 1999 07  776·0
 1999 08  935.8
 1999 09  993.9
 1999 10  353.7
 1999 11  464.1
 1999 12  53.6
 2000 01 652·2
 2000 02 392·9
 2000 03 983·0
 2000 04 973·4
 2000 05 303.9
 2000 06 55.4
 2000 07 445·3
 2000 08 134·5
 2000 09 683.7
 2000 10 383.8
 2000 11 243.3
 2000 12 223.8
 2001 01  802.5
 2001 02  723·8
 2001 03  993·3
 2001 04  183.4
 2001 05  913.8
 2001 06  614.4
 2001 07  584·6
 2001 08  214.6
 2001 09  513·1
 2001 10  893.2
 2001 11  142.7
 2001 12  753·3
 2002 01 363.1
 2002 02 602·4
 2002 03 43·6
 2002 04 484.0
 2002 05 473·1
 2002 06 94.1
 2002 07 924.6
 2002 08 354·0
 2002 09 94.0
 2002 10 904·1
 2002 11 653·0
 2002 12 552·9
 2003 01  711·8
 2003 02  852.9
 2003 03  362.6
 2003 04  533·1
 2003 05  103.8
 2003 06  24.8
 2003 07  436·0
 2003 08  964.8
 2003 09  263.4
 2003 10  713.6
 2003 11  493.3
 2003 12  813·0
 2004 01 442.6
 2004 02 503.6
 2004 03 423·0
 2004 04 243.7
 2004 05 153.7
 2004 06 204.0
 2004 07 345·0
 2004 08 724.6
 2004 09 143·5
 2004 10 872.6
 2004 11 653.2
 2004 12 923.1
 2005 01  413.1
 2005 02  843·0
 2005 03  953.1
 2005 04  803·9
 2005 05  233·9
 2005 06  676.1
 2005 07  155.9
 2005 08  535·3
 2005 09  83·9
 2005 10  173.3
 2005 11  353.2
 2005 12  572·5
 2006 01 733·5
 2006 02 422.5
 2006 03 952.2
 2006 04 612·7
 2006 05 182.6
 2006 06 734·3
 2006 07 575·1
 2006 08 583·3
 2006 09 693.1
 2006 10 663.3
 2006 11 83·7
 2006 12 673·3
 2007 01  752.2
 2007 02  32.1
 2007 03  632.7
 2007 04  343.4
 2007 05  123·6
 2007 06  913.7
 2007 07  584·4
 2007 08  263.5
 2007 09  812.3
 2007 10  624.0
 2007 11  573.8
 2007 12  393·2
 2008 01 72·7
 2008 02 712.6
 2008 03 482·0
 2008 04 913.5
 2008 05 413·6
 2008 06 24·1
 2008 07 434·4
 2008 08 263·7
 2008 09 573·9
 2008 10 594.2
 2008 11 803.5
 2008 12 142.6
 2009 01  562.8
 2009 02  762·4
 2009 03  233·1
 2009 04  493·8
 2009 05  642.9
 2009 06  83.3
 2009 07  584·4
 2009 08  502·7
 2009 09  303.0
 2009 10  383.1
 2009 11  02·5
 2009 12  602.2
 2010 01 312·7
 2010 02 722·6
 2010 03 852.6
 2010 04 502.5
 2010 05 672.8
 2010 06 413.9
 2010 07 783·5
 2010 08 133.0
 2010 09 631.6
 2010 10 23·6
 2010 11 643·1
 2010 12 682.1
 2011 01  692.8
 2011 02  382.4
 2011 03  592.8
 2011 04  604.1
 2011 05  613·2
 2011 06  535·3
 2011 07  995.1
 2011 08  574·9
 2011 09  403·3
 2011 10  813.6
 2011 11  473.8
 2011 12  552.4
 2012 01 302.0
 2012 02 783.0
 2012 03 913·9
 2012 04 713.4
 2012 05 823.4
 2012 06 253·2
 2012 07 453.7
 2012 08 514·2
 2012 09 713·9
 2012 10 293·2
 2012 11 453.6
 2012 12 632·8
 2013 01  982.7
 2013 02  222·8
 2013 03  562·9
 2013 04  12.9
 2013 05  894.5
 2013 06  605.8
 2013 07  645·3
 2013 08  843·7
 2013 09  933.1
 2013 10  263·7
 2013 11  833.4
 2013 12  584·4
 2014 01 862·8
 2014 02 252.7
 2014 03 503.2
 2014 04 903·1
 2014 05 693.7
 2014 06 895·0
 2014 07 294.6
 2014 08 753·8
 2014 09 665·2
 2014 10 753·7
 2014 11 83·1
 2014 12 321.9
 2015 01  293.2
 2015 02  642.9
 2015 03  982·1
 2015 04  62.6
 2015 05  322·9
 2015 06  643.7
 2015 07  393·9
 2015 08  653·9
 2015 09  763·6
 2015 10  63.1
 2015 11  922.5
 2015 12  32.3
 2016 01 862·0
 2016 02 463·0
 2016 03 472.6
 2016 04 403·2
 2016 05 133.2
 2016 06 663·3
 2016 07 153·4
 2016 08 203·6
 2016 09 323·1
 2016 10 734·4
 2016 11 353.2
 2016 12 123.9
 2017 01  444·0
 2017 02  983.6
 2017 03  702·8
 2017 04  103·1
 2017 05  732.8
 2017 06  984·8
 2017 07  73.3
 2017 08  333·5
 2017 09  713.0


 2017 10  552·9
 2017 11  602.9
 2017 12  262·1
 2018 01 132.5
 2018 02 761·7
 2018 03 652·5
 2018 04 572.1
 2018 05 982.5
 2018 06 913.6
 2018 07 873.4
 2018 08 202.5
 2018 09 532·1
 2018 10 582.0
 2018 11 131.8
 2018 12 361.9
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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, 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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