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 Series Title: Multiple Jobholders, Men: NSA
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 2012 04 983501·
 2012 03 753451.
 2012 02 933422·
 2012 01 633372.
 2011 12  173523.
 2011 11  913505·
 2011 10  223415.
 2011 09  763427.
 2011 08  33344·
 2011 07  63371.
 2011 06  513400·
 2011 05  883491.
 2011 04  53302.
 2011 03  13292·
 2011 02  953364·
 2011 01  433178.
 2010 12 993259·
 2010 11 833202·
 2010 10 903177.
 2010 09 103140·
 2010 08 853226.
 2010 07 833206.
 2010 06 993477·
 2010 05 833559·
 2010 04 903453.
 2010 03 593536.
 2010 02 113454·
 2010 01 813223.
 2009 12  633369.
 2009 11  913461.
 2009 10  393579·
 2009 09  493426.
 2009 08  793206.
 2009 07  863529·
 2009 06  203474.
 2009 05  553540.
 2009 04  403775·
 2009 03  763732·
 2009 02  173703.
 2009 01  933572·
 2008 12 703743.
 2008 11 183723·
 2008 10 173957·
 2008 09 843997·
 2008 08 204040·
 2008 07 933981·
 2008 06 353888.
 2008 05 703842.
 2008 04 653852.
 2008 03 83691.
 2008 02 83682·
 2008 01 223652.
 2007 12  63734.
 2007 11  953839·
 2007 10  983933·
 2007 09  323823·
 2007 08  683690·
 2007 07  93837·
 2007 06  943777·
 2007 05  213835.
 2007 04  13975·
 2007 03  343923·
 2007 02  93885.
 2007 01  333743.
 2006 12 813966.
 2006 11 753808·
 2006 10 793906·
 2006 09 363854·
 2006 08 93624.
 2006 07 643819·
 2006 06 703883·
 2006 05 253863.
 2006 04 83795.
 2006 03 573817.
 2006 02 673731·
 2006 01 193803.
 2005 12  313794·
 2005 11  373854·
 2005 10  844016.
 2005 09  613928.
 2005 08  523824.
 2005 07  103956·
 2005 06  594017·
 2005 05  233741·
 2005 04  723758.
 2005 03  83832·
 2005 02  553867.
 2005 01  963674.
 2004 12 174061.
 2004 11 874011.
 2004 10 604168.
 2004 09 13979.
 2004 08 353889·
 2004 07 293913·
 2004 06 873726·
 2004 05 813653.
 2004 04 43675·
 2004 03 403702·
 2004 02 723606·
 2004 01 73632·
 2003 12  233548.
 2003 11  533618·
 2003 10  813776·
 2003 09  713598.
 2003 08  173737·
 2003 07  233837.
 2003 06  993778·
 2003 05  933841·
 2003 04  383756·
 2003 03  333771.
 2003 02  413808.
 2003 01  173519·
 2002 12 603848·
 2002 11 893520.
 2002 10 443722.
 2002 09 133774.
 2002 08 843533.
 2002 07 233748·
 2002 06 713866.
 2002 05 743736.
 2002 04 363817.
 2002 03 913852·
 2002 02 93726·
 2002 01 203672.
 2001 12  653776·
 2001 11  753635.
 2001 10  733732·
 2001 09  943874·
 2001 08  473728.
 2001 07  823947.
 2001 06  993895·
 2001 05  673914.
 2001 04  833862.
 2001 03  443946·
 2001 02  504015.
 2001 01  313689.
 2000 12 973966.
 2000 11 163853·
 2000 10 153991.
 2000 09 73959·
 2000 08 413869.
 2000 07 814040·
 2000 06 63891·
 2000 05 374084·
 2000 04 894085.
 2000 03 454033.
 2000 02 624065·
 2000 01 934115·
 1999 12  424026·
 1999 11  404170.
 1999 10  444245·
 1999 09  673899.
 1999 08  263909·
 1999 07  234155.
 1999 06  424071·
 1999 05  784117·
 1999 04  904012.
 1999 03  744239.
 1999 02  674264.
 1999 01  724143.
 1998 12 114163·
 1998 11 24331·
 1998 10 584270·
 1998 09 164156·
 1998 08 884015.
 1998 07 374099·
 1998 06 784133.
 1998 05 64438·
 1998 04 474204·
 1998 03 364187·
 1998 02 144142.
 1998 01 603995·
 1997 12  394212.
 1997 11  814311.
 1997 10  804357·
 1997 09  224220·
 1997 08  384123.
 1997 07  784366.
 1997 06  134513.
 1997 05  624398·
 1997 04  464123.
 1997 03  594055·
 1997 02  764092·
 1997 01  744076·
 1996 12 874293·
 1996 11 814453.
 1996 10 574376.
 1996 09 764197.
 1996 08 114089.
 1996 07 254197·
 1996 06 694206·
 1996 05 144352·
 1996 04 964117.
 1996 03 984117·
 1996 02 514150.
 1996 01 553758.
 1995 12  403965·
 1995 11  324045·
 1995 10  634328.
 1995 09  954157.
 1995 08  684189.
 1995 07  834341·
 1995 06  964334.
 1995 05  524225·
 1995 04  334111·
 1995 03  323999.
 1995 02  614123·
 1995 01  713855·
 1994 12 84032·
 1994 11 884068.
 1994 10 974160.
 1994 09 214138.
 1994 08 953949·
 1994 07 803853·
 1994 06 663876·
 1994 05 953973.
 1994 04 183841·
 1994 03 663889.
 1994 02 563692·
 1994 01 143627·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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