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 Series Title: Multiple Jobholders as a Percent of Employed, 20-24 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1994 01 816.2
 1994 02 966.5
 1994 03 656.9
 1994 04 26·7
 1994 05 487.4
 1994 06 447.0
 1994 07 327.1
 1994 08 876.6
 1994 09 636.9
 1994 10 717.4
 1994 11 827.3
 1994 12 536·9
 1995 01  766.6
 1995 02  606·6
 1995 03  276.4
 1995 04  426.6
 1995 05  636.0
 1995 06  176·7
 1995 07  57.0
 1995 08  257.3
 1995 09  236·7
 1995 10  746.6
 1995 11  796·2
 1995 12  957.1
 1996 01 826·0
 1996 02 876·8
 1996 03 376.8
 1996 04 715.7
 1996 05 916·2
 1996 06 386·7
 1996 07 916.9
 1996 08 986.2
 1996 09 256.9
 1996 10 337·3
 1996 11 797·3
 1996 12 457.6
 1997 01  846.2
 1997 02  56.8
 1997 03  656·5
 1997 04  56.7
 1997 05  947.2
 1997 06  96·7
 1997 07  376·4
 1997 08  995·6
 1997 09  56.0
 1997 10  286.5
 1997 11  66·9
 1997 12  706.9
 1998 01 936·2
 1998 02 686.9
 1998 03 125·8
 1998 04 876.3
 1998 05 576.4
 1998 06 616.1
 1998 07 166.3
 1998 08 455·9
 1998 09 236.6
 1998 10 636.0
 1998 11 86.7
 1998 12 626·1
 1999 01  435.8
 1999 02  566.6
 1999 03  996.8
 1999 04  835.4
 1999 05  905.8
 1999 06  475·3
 1999 07  275.8
 1999 08  775·4
 1999 09  665·4
 1999 10  686·2
 1999 11  575·4
 1999 12  376.0
 2000 01 965.4
 2000 02 745·4
 2000 03 745·9
 2000 04 855·8
 2000 05 295.7
 2000 06 485·6
 2000 07 935·6
 2000 08 625.2
 2000 09 435·3
 2000 10 965.4
 2000 11 515·5
 2000 12 395·9
 2001 01  365·2
 2001 02  505.5
 2001 03  125.1
 2001 04  95.2
 2001 05  355·8
 2001 06  666·0
 2001 07  626·1
 2001 08  925.5
 2001 09  905·2
 2001 10  275.2
 2001 11  155.4
 2001 12  325·8
 2002 01 765·3
 2002 02 395.9
 2002 03 96.3
 2002 04 985.4
 2002 05 934.8
 2002 06 335.6
 2002 07 65.5
 2002 08 845.0
 2002 09 685·4
 2002 10 665.8
 2002 11 955.8
 2002 12 105·7
 2003 01  505·3
 2003 02  196.0
 2003 03  885.8
 2003 04  186·0
 2003 05  146.2
 2003 06  16·4
 2003 07  245.6
 2003 08  805·3
 2003 09  625·7
 2003 10  415.6
 2003 11  655·9
 2003 12  885·8
 2004 01 185.8
 2004 02 976·3
 2004 03 996.0
 2004 04 625·4
 2004 05 335·4
 2004 06 505.8
 2004 07 396.0
 2004 08 465·7
 2004 09 825·8
 2004 10 76.0
 2004 11 235.5
 2004 12 95·9
 2005 01  675.5
 2005 02  995·7
 2005 03  145.9
 2005 04  455·2
 2005 05  115·6
 2005 06  846.1
 2005 07  996·0
 2005 08  745.9
 2005 09  655·5
 2005 10  435.8
 2005 11  926·0
 2005 12  396·2
 2006 01 65.6
 2006 02 825·3
 2006 03 305·7
 2006 04 105.5
 2006 05 335·8
 2006 06 345.8
 2006 07 775·4
 2006 08 815.3
 2006 09 715·7
 2006 10 545.4
 2006 11 205.6
 2006 12 715·9
 2007 01  725·2
 2007 02  245·1
 2007 03  725·5
 2007 04  244·9
 2007 05  105.5
 2007 06  525·8
 2007 07  715·5
 2007 08  94.5
 2007 09  855·3
 2007 10  685·4
 2007 11  805·4
 2007 12  215·3
 2008 01 244.5
 2008 02 305.1
 2008 03 865.2
 2008 04 785·2
 2008 05 775.6
 2008 06 195.7
 2008 07 46.0
 2008 08 255.7
 2008 09 195.6
 2008 10 416.1
 2008 11 705.9
 2008 12 315.6
 2009 01  505·0
 2009 02  285·8
 2009 03  475·5
 2009 04  895.5
 2009 05  955.2
 2009 06  385.8
 2009 07  245.6
 2009 08  205·0
 2009 09  65·5
 2009 10  515·4
 2009 11  136·3
 2009 12  676·1
 2010 01 584·8
 2010 02 745.5
 2010 03 525.0
 2010 04 995·2
 2010 05 505·6
 2010 06 395.5
 2010 07 45·1
 2010 08 115.4
 2010 09 95·7
 2010 10 25.9
 2010 11 576·0
 2010 12 215.9
 2011 01  845·3
 2011 02  465·4
 2011 03  234.6
 2011 04  755·0
 2011 05  525.4
 2011 06  765·3
 2011 07  425.5
 2011 08  405·3
 2011 09  125.0
 2011 10  255.5
 2011 11  755·8
 2011 12  116·1
 2012 01 905.7
 2012 02 496.0
 2012 03 115·7
 2012 04 85·1
 2012 05 365.4
 2012 06 294·8
 2012 07 615·3
 2012 08 745·5
 2012 09 265.2
 2012 10 734.8
 2012 11 665·3
 2012 12 786.0
 2013 01  605·8
 2013 02  126·6
 2013 03  865·6
 2013 04  155.4
 2013 05  645.7
 2013 06  26·1
 2013 07  105·6
 2013 08  45.4
 2013 09  875.8
 2013 10  265·9
 2013 11  526·0
 2013 12  895.8
 2014 01 65.5
 2014 02 896·0
 2014 03 485.3
 2014 04 395·5
 2014 05 205·6
 2014 06 245.5
 2014 07 615.6
 2014 08 485.5
 2014 09 555·9
 2014 10 876.9
 2014 11 816·5
 2014 12 366.2
 2015 01  625.9
 2015 02  605·7
 2015 03  196.0
 2015 04  465.2
 2015 05  165·4
 2015 06  495·4
 2015 07  135·5
 2015 08  475·2
 2015 09  165.1
 2015 10  865·7
 2015 11  266·8
 2015 12  346.6
 2016 01 905·9
 2016 02 295·9
 2016 03 475·9
 2016 04 276·0
 2016 05 865·7
 2016 06 575.8
 2016 07 885.9
 2016 08 686.0
 2016 09 806·5
 2016 10 786.4
 2016 11 867·0
 2016 12 275·6
 2017 01  745.5
 2017 02  256·0
 2017 03  66.8
 2017 04  996·1
 2017 05  915·3
 2017 06  526.6


 2017 07  346·1
 2017 08  35.7
 2017 09  845.8
 2017 10  425.1
 2017 11  845.7
 2017 12  825.7
 2018 01 266·1
 2018 02 26·2
 2018 03 935.4
 2018 04 55·6
 2018 05 185·2
 2018 06 635·5
 2018 07 256.0
 2018 08 685.6
 2018 09 865·2
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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, 20-24 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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