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 Series Title: Employment Level: Married, Spouse Present, Multiple Jobholders: 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 453914.
 1994 02 973973.
 1994 03 304083.
 1994 04 784224·
 1994 05 14124·
 1994 06 563935.
 1994 07 83923.
 1994 08 473858·
 1994 09 474299.
 1994 10 394317.
 1994 11 114275·
 1994 12 394235.
 1995 01  364117.
 1995 02  264550.
 1995 03  534479·
 1995 04  994481.
 1995 05  414707.
 1995 06  264309.
 1995 07  724228.
 1995 08  964152.
 1995 09  644402·
 1995 10  694594·
 1995 11  304394·
 1995 12  244363.
 1996 01 303998.
 1996 02 124560.
 1996 03 164594.
 1996 04 24480·
 1996 05 894632.
 1996 06 364209·
 1996 07 434167.
 1996 08 754252.
 1996 09 174514·
 1996 10 494802.
 1996 11 474866·
 1996 12 114576·
 1997 01  144240.
 1997 02  824427·
 1997 03  934308.
 1997 04  54392·
 1997 05  54498·
 1997 06  914519.
 1997 07  684359·
 1997 08  754172.
 1997 09  424483·
 1997 10  594617·
 1997 11  844629.
 1997 12  674563·
 1998 01 984435·
 1998 02 924466.
 1998 03 814619.
 1998 04 484466.
 1998 05 754649·
 1998 06 214182·
 1998 07 204190·
 1998 08 143945·
 1998 09 984344·
 1998 10 34662.
 1998 11 904522.
 1998 12 834488.
 1999 01  184459·
 1999 02  204431.
 1999 03  34541·
 1999 04  994346·
 1999 05  94331·
 1999 06  783989.
 1999 07  984066.
 1999 08  333879.
 1999 09  734238·
 1999 10  104426·
 1999 11  374532.
 1999 12  774475·
 2000 01 344438·
 2000 02 714315·
 2000 03 84411·
 2000 04 514377·
 2000 05 434348·
 2000 06 443879.
 2000 07 243956.
 2000 08 983899.
 2000 09 764188·
 2000 10 344190·
 2000 11 234146.
 2000 12 904234.
 2001 01  324025·
 2001 02  744253·
 2001 03  684301.
 2001 04  184124·
 2001 05  384246.
 2001 06  213956.
 2001 07  463945·
 2001 08  33851.
 2001 09  434120·
 2001 10  554005·
 2001 11  713998.
 2001 12  894046.
 2002 01 233903.
 2002 02 844171.
 2002 03 814092.
 2002 04 443985.
 2002 05 783918·
 2002 06 393789·
 2002 07 383771·
 2002 08 633714.
 2002 09 344190.
 2002 10 784113·
 2002 11 314056·
 2002 12 654279·
 2003 01  414095·
 2003 02  804329.
 2003 03  714102.
 2003 04  954009.
 2003 05  744074·
 2003 06  543943·
 2003 07  983935.
 2003 08  213842.
 2003 09  354030·
 2003 10  304260·
 2003 11  744064.
 2003 12  374118.
 2004 01 484076·
 2004 02 664087.
 2004 03 864181.
 2004 04 634047.
 2004 05 634020·
 2004 06 433953.
 2004 07 483976.
 2004 08 423955.
 2004 09 564203·
 2004 10 674359·
 2004 11 984294.
 2004 12 454352.
 2005 01  284023·
 2005 02  714318.
 2005 03  984211.
 2005 04  644194·
 2005 05  44268·
 2005 06  114036.
 2005 07  373990.
 2005 08  203765·
 2005 09  344119·
 2005 10  694233.
 2005 11  274060·
 2005 12  564088·
 2006 01 944120.
 2006 02 504149.
 2006 03 64271·
 2006 04 414060·
 2006 05 834155·
 2006 06 883772.
 2006 07 383864.
 2006 08 703880·
 2006 09 284247·
 2006 10 384434.
 2006 11 94256.
 2006 12 624421.
 2007 01  794197.
 2007 02  824272.
 2007 03  334380·
 2007 04  604446.
 2007 05  114221·
 2007 06  273978·
 2007 07  484044·
 2007 08  354041.
 2007 09  254311·
 2007 10  54336.
 2007 11  174248.
 2007 12  804109·
 2008 01 454059·
 2008 02 724210·
 2008 03 274205.
 2008 04 144271·
 2008 05 234242·
 2008 06 94079.
 2008 07 914013·
 2008 08 814090·
 2008 09 344322·
 2008 10 244275.
 2008 11 484107·
 2008 12 514117·
 2009 01  774083.
 2009 02  474352·
 2009 03  604345.
 2009 04  184437·
 2009 05  804015·
 2009 06  373781·
 2009 07  153860·
 2009 08  03642.
 2009 09  913929.
 2009 10  743936.
 2009 11  263849.
 2009 12  433682·
 2010 01 863775.
 2010 02 643923·
 2010 03 313826.
 2010 04 153812·
 2010 05 663817·
 2010 06 413517.
 2010 07 933341·
 2010 08 93345.
 2010 09 573515.
 2010 10 593558.
 2010 11 993613.
 2010 12 473687·
 2011 01  83645·
 2011 02  13698·
 2011 03  633735·
 2011 04  713584·
 2011 05  943712.
 2011 06  743458·
 2011 07  233512.
 2011 08  503455·
 2011 09  173700·
 2011 10  93703.
 2011 11  403776·
 2011 12  803771·
 2012 01 23637·
 2012 02 633844·
 2012 03 43824.
 2012 04 783760.
 2012 05 983874.
 2012 06 173420.
 2012 07 283460·
 2012 08 903433·
 2012 09 823644.
 2012 10 783874·
 2012 11 483840.
 2012 12 843587·
 2013 01  543513.
 2013 02  783875·
 2013 03  283753·
 2013 04  543741·
 2013 05  393772.
 2013 06  733480·
 2013 07  553424·
 2013 08  203482·
 2013 09  883556.
 2013 10  463543.
 2013 11  443650·
 2013 12  253500.
 2014 01 753394·
 2014 02 13789.
 2014 03 313696·
 2014 04 393657.
 2014 05 33771·
 2014 06 733470.
 2014 07 793346·
 2014 08 563431.
 2014 09 943649·
 2014 10 163982.
 2014 11 773924·
 2014 12 963706.
 2015 01  13684.
 2015 02  123727·
 2015 03  373818·
 2015 04  13574·
 2015 05  993628·
 2015 06  693449·
 2015 07  973529.
 2015 08  423505·
 2015 09  873826·
 2015 10  183944·
 2015 11  203835.
 2015 12  133905.
 2016 01 923615·
 2016 02 153627.
 2016 03 943801.
 2016 04 323701·
 2016 05 643798.
 2016 06 423597·
 2016 07 323536·
 2016 08 443607.
 2016 09 773975.
 2016 10 64073.
 2016 11 723991·
 2016 12 173810.
 2017 01  343662·
 2017 02  383939.
 2017 03  764014·
 2017 04  473784·
 2017 05  583884·
 2017 06  953626·
 2017 07  333527·
 2017 08  533469·
 2017 09  03758·


 2017 10  593871·
 2017 11  553775.
 2017 12  773918·
 2018 01 363878.
 2018 02 373958.
 2018 03 803862.
 2018 04 903869·
 2018 05 663705·
 2018 06 593612·
 2018 07 713734·
 2018 08 863662·
 2018 09 163724·
 2018 10 834134.
 2018 11 173966.
 2018 12 834005.
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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: Employment Level: Married, Spouse Present, Multiple Jobholders: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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