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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 613914·
 1994 02 03973.
 1994 03 854083·
 1994 04 384224·
 1994 05 44124·
 1994 06 313935.
 1994 07 693923.
 1994 08 973858·
 1994 09 764299.
 1994 10 234317.
 1994 11 164275.
 1994 12 174235·
 1995 01  264117·
 1995 02  574550.
 1995 03  394479·
 1995 04  424481·
 1995 05  314707·
 1995 06  414309.
 1995 07  764228·
 1995 08  424152·
 1995 09  924402.
 1995 10  54594·
 1995 11  914394·
 1995 12  114363.
 1996 01 323998·
 1996 02 84560.
 1996 03 704594·
 1996 04 674480·
 1996 05 44632.
 1996 06 294209·
 1996 07 284167.
 1996 08 554252·
 1996 09 824514.
 1996 10 764802·
 1996 11 14866·
 1996 12 444576·
 1997 01  664240·
 1997 02  804427.
 1997 03  534308.
 1997 04  284392.
 1997 05  824498·
 1997 06  994519.
 1997 07  714359.
 1997 08  264172.
 1997 09  814483.
 1997 10  134617·
 1997 11  694629·
 1997 12  834563·
 1998 01 374435·
 1998 02 304466·
 1998 03 844619.
 1998 04 684466.
 1998 05 514649·
 1998 06 814182·
 1998 07 794190·
 1998 08 743945·
 1998 09 494344·
 1998 10 224662.
 1998 11 424522.
 1998 12 214488·
 1999 01  814459·
 1999 02  364431·
 1999 03  874541·
 1999 04  534346·
 1999 05  234331·
 1999 06  283989.
 1999 07  504066.
 1999 08  393879.
 1999 09  734238.
 1999 10  324426·
 1999 11  954532.
 1999 12  734475·
 2000 01 594438.
 2000 02 24315·
 2000 03 94411·
 2000 04 754377.
 2000 05 314348.
 2000 06 213879.
 2000 07 63956·
 2000 08 893899.
 2000 09 634188·
 2000 10 964190.
 2000 11 244146·
 2000 12 834234·
 2001 01  574025.
 2001 02  584253·
 2001 03  254301·
 2001 04  524124.
 2001 05  374246.
 2001 06  643956.
 2001 07  973945.
 2001 08  143851·
 2001 09  544120·
 2001 10  954005.
 2001 11  533998·
 2001 12  154046·
 2002 01 843903.
 2002 02 584171.
 2002 03 324092·
 2002 04 243985.
 2002 05 273918·
 2002 06 853789.
 2002 07 953771.
 2002 08 333714·
 2002 09 74190·
 2002 10 324113·
 2002 11 314056.
 2002 12 644279·
 2003 01  774095·
 2003 02  814329.
 2003 03  524102.
 2003 04  584009·
 2003 05  104074·
 2003 06  393943.
 2003 07  983935·
 2003 08  873842.
 2003 09  84030.
 2003 10  374260·
 2003 11  294064.
 2003 12  444118·
 2004 01 954076.
 2004 02 324087.
 2004 03 354181.
 2004 04 484047·
 2004 05 234020.
 2004 06 63953·
 2004 07 293976·
 2004 08 433955.
 2004 09 664203·
 2004 10 644359·
 2004 11 474294·
 2004 12 984352·
 2005 01  264023·
 2005 02  404318·
 2005 03  534211.
 2005 04  84194·
 2005 05  264268.
 2005 06  894036.
 2005 07  363990.
 2005 08  913765·
 2005 09  184119·
 2005 10  934233.
 2005 11  74060.
 2005 12  934088.
 2006 01 784120.
 2006 02 594149.
 2006 03 54271·
 2006 04 814060·
 2006 05 54155.
 2006 06 183772.
 2006 07 923864·
 2006 08 503880·
 2006 09 254247.
 2006 10 284434·
 2006 11 574256.
 2006 12 204421.
 2007 01  884197·
 2007 02  694272·
 2007 03  124380·
 2007 04  344446·
 2007 05  694221.
 2007 06  483978·
 2007 07  954044·
 2007 08  624041.
 2007 09  704311·
 2007 10  974336·
 2007 11  704248·
 2007 12  974109.
 2008 01 164059.
 2008 02 734210·
 2008 03 244205.
 2008 04 594271.
 2008 05 564242·
 2008 06 574079.
 2008 07 694013·
 2008 08 914090.
 2008 09 664322.
 2008 10 564275.
 2008 11 454107.
 2008 12 644117.
 2009 01  474083·
 2009 02  14352·
 2009 03  134345.
 2009 04  724437.
 2009 05  244015.
 2009 06  503781·
 2009 07  613860·
 2009 08  323642.
 2009 09  483929·
 2009 10  833936.
 2009 11  33849·
 2009 12  903682·
 2010 01 933775·
 2010 02 83923·
 2010 03 773826·
 2010 04 153812.
 2010 05 613817·
 2010 06 563517·
 2010 07 453341·
 2010 08 03345·
 2010 09 763515.
 2010 10 843558.
 2010 11 953613·
 2010 12 653687·
 2011 01  893645.
 2011 02  733698.
 2011 03  403735·
 2011 04  553584.
 2011 05  753712.
 2011 06  303458.
 2011 07  183512·
 2011 08  373455.
 2011 09  353700.
 2011 10  863703.
 2011 11  923776.
 2011 12  73771·
 2012 01 953637·
 2012 02 993844.
 2012 03 493824·
 2012 04 833760.
 2012 05 43874.
 2012 06 503420.
 2012 07 33460·
 2012 08 103433·
 2012 09 383644·
 2012 10 463874.
 2012 11 923840.
 2012 12 573587·
 2013 01  973513·
 2013 02  173875.
 2013 03  783753.
 2013 04  183741·
 2013 05  73772.
 2013 06  223480.
 2013 07  493424.
 2013 08  113482.
 2013 09  183556·
 2013 10  413543·
 2013 11  193650.
 2013 12  823500·
 2014 01 53394.
 2014 02 813789.
 2014 03 243696·
 2014 04 993657·
 2014 05 693771·
 2014 06 733470.
 2014 07 293346·
 2014 08 573431·
 2014 09 363649·
 2014 10 763982·
 2014 11 203924·
 2014 12 743706.
 2015 01  553684.
 2015 02  693727·
 2015 03  113818·
 2015 04  953574·
 2015 05  33628·
 2015 06  603449·
 2015 07  403529·
 2015 08  893505.
 2015 09  783826.
 2015 10  803944.
 2015 11  693835.
 2015 12  503905.
 2016 01 83615.
 2016 02 863627·
 2016 03 873801.
 2016 04 973701·
 2016 05 423798.
 2016 06 603597.
 2016 07 63536.
 2016 08 743607.
 2016 09 553975.
 2016 10 84073.
 2016 11 643991·
 2016 12 513810.
 2017 01  493662.
 2017 02  623939·
 2017 03  244014·
 2017 04  223784·


 2017 05  483884.
 2017 06  793626.
 2017 07  743527.
 2017 08  53469.
 2017 09  33758.
 2017 10  403871.
 2017 11  273775·
 2017 12  453918.
 2018 01 883878.
 2018 02 513958.
 2018 03 213862·
 2018 04 113869·
 2018 05 63705·
 2018 06 453612·
 2018 07 193734·
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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