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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 583914.
 1994 02 723973·
 1994 03 784083·
 1994 04 904224·
 1994 05 484124.
 1994 06 923935·
 1994 07 683923·
 1994 08 473858.
 1994 09 844299·
 1994 10 924317.
 1994 11 394275.
 1994 12 844235·
 1995 01  194117·
 1995 02  534550·
 1995 03  64479·
 1995 04  454481·
 1995 05  284707.
 1995 06  814309·
 1995 07  64228.
 1995 08  04152·
 1995 09  104402·
 1995 10  104594.
 1995 11  24394.
 1995 12  424363.
 1996 01 913998·
 1996 02 954560·
 1996 03 814594·
 1996 04 904480·
 1996 05 224632.
 1996 06 174209.
 1996 07 574167.
 1996 08 894252·
 1996 09 784514.
 1996 10 854802.
 1996 11 684866.
 1996 12 74576·
 1997 01  594240·
 1997 02  284427·
 1997 03  764308·
 1997 04  404392·
 1997 05  904498·
 1997 06  54519.
 1997 07  694359.
 1997 08  54172.
 1997 09  234483.
 1997 10  954617·
 1997 11  604629.
 1997 12  484563·
 1998 01 324435.
 1998 02 74466.
 1998 03 884619·
 1998 04 374466.
 1998 05 194649.
 1998 06 724182.
 1998 07 144190·
 1998 08 673945.
 1998 09 74344·
 1998 10 464662.
 1998 11 274522.
 1998 12 564488·
 1999 01  484459·
 1999 02  114431.
 1999 03  404541·
 1999 04  494346.
 1999 05  184331·
 1999 06  743989·
 1999 07  914066·
 1999 08  143879·
 1999 09  154238·
 1999 10  664426·
 1999 11  424532·
 1999 12  474475·
 2000 01 674438.
 2000 02 444315.
 2000 03 814411.
 2000 04 664377.
 2000 05 234348·
 2000 06 903879.
 2000 07 223956·
 2000 08 153899.
 2000 09 584188·
 2000 10 104190·
 2000 11 24146·
 2000 12 644234·
 2001 01  734025.
 2001 02  364253·
 2001 03  844301.
 2001 04  64124·
 2001 05  944246·
 2001 06  243956.
 2001 07  563945·
 2001 08  613851.
 2001 09  714120.
 2001 10  574005.
 2001 11  313998·
 2001 12  734046·
 2002 01 783903.
 2002 02 404171.
 2002 03 474092.
 2002 04 113985.
 2002 05 183918.
 2002 06 63789.
 2002 07 663771·
 2002 08 693714.
 2002 09 144190.
 2002 10 114113.
 2002 11 774056·
 2002 12 664279·
 2003 01  184095.
 2003 02  374329·
 2003 03  934102.
 2003 04  474009.
 2003 05  44074.
 2003 06  903943.
 2003 07  503935·
 2003 08  803842.
 2003 09  744030.
 2003 10  24260·
 2003 11  134064·
 2003 12  604118.
 2004 01 524076.
 2004 02 304087.
 2004 03 694181·
 2004 04 64047.
 2004 05 894020·
 2004 06 553953·
 2004 07 313976.
 2004 08 623955·
 2004 09 604203·
 2004 10 834359·
 2004 11 374294.
 2004 12 974352.
 2005 01  664023.
 2005 02  484318.
 2005 03  494211·
 2005 04  54194·
 2005 05  324268.
 2005 06  54036·
 2005 07  563990·
 2005 08  53765.
 2005 09  94119·
 2005 10  354233.
 2005 11  714060.
 2005 12  434088·
 2006 01 714120·
 2006 02 464149·
 2006 03 314271·
 2006 04 864060·
 2006 05 204155·
 2006 06 703772.
 2006 07 03864.
 2006 08 283880·
 2006 09 804247.
 2006 10 624434.
 2006 11 644256·
 2006 12 904421.
 2007 01  24197.
 2007 02  44272·
 2007 03  384380·
 2007 04  154446·
 2007 05  624221.
 2007 06  43978·
 2007 07  594044.
 2007 08  724041·
 2007 09  604311.
 2007 10  924336.
 2007 11  904248·
 2007 12  554109·
 2008 01 214059.
 2008 02 254210·
 2008 03 184205·
 2008 04 844271·
 2008 05 954242·
 2008 06 864079·
 2008 07 584013·
 2008 08 34090.
 2008 09 594322.
 2008 10 804275·
 2008 11 454107.
 2008 12 814117.
 2009 01  114083·
 2009 02  394352·
 2009 03  454345.
 2009 04  114437.
 2009 05  794015·
 2009 06  213781.
 2009 07  433860.
 2009 08  143642.
 2009 09  123929.
 2009 10  63936·
 2009 11  543849.
 2009 12  333682.
 2010 01 853775.
 2010 02 13923.
 2010 03 153826.
 2010 04 373812.
 2010 05 993817.
 2010 06 383517·
 2010 07 893341.
 2010 08 203345·
 2010 09 803515·
 2010 10 733558.
 2010 11 643613.
 2010 12 33687·
 2011 01  773645.
 2011 02  883698·
 2011 03  533735.
 2011 04  283584·
 2011 05  673712.
 2011 06  913458.
 2011 07  933512·
 2011 08  653455·
 2011 09  493700·
 2011 10  113703·
 2011 11  483776.
 2011 12  83771.
 2012 01 493637.
 2012 02 73844.
 2012 03 53824·
 2012 04 773760·
 2012 05 173874.
 2012 06 593420.
 2012 07 783460.
 2012 08 153433·
 2012 09 293644·
 2012 10 753874.
 2012 11 43840·
 2012 12 913587.
 2013 01  853513·
 2013 02  853875·
 2013 03  463753·
 2013 04  03741.
 2013 05  103772·
 2013 06  473480·
 2013 07  923424·
 2013 08  613482.
 2013 09  553556·
 2013 10  433543.
 2013 11  563650.
 2013 12  173500·
 2014 01 963394.
 2014 02 783789·
 2014 03 743696·
 2014 04 393657.
 2014 05 323771.
 2014 06 853470·
 2014 07 93346.
 2014 08 203431·
 2014 09 893649·
 2014 10 203982·
 2014 11 503924·
 2014 12 793706.
 2015 01  183684·
 2015 02  653727.
 2015 03  103818·
 2015 04  613574·
 2015 05  933628.
 2015 06  263449·
 2015 07  263529·
 2015 08  353505·
 2015 09  163826.
 2015 10  353944.
 2015 11  623835.
 2015 12  943905·
 2016 01 113615.
 2016 02 493627.
 2016 03 43801·
 2016 04 583701·
 2016 05 293798·
 2016 06 493597.
 2016 07 673536·
 2016 08 713607.
 2016 09 453975.
 2016 10 434073.
 2016 11 873991·
 2016 12 33810·
 2017 01  613662.
 2017 02  613939·


 2017 03  294014·
 2017 04  463784.
 2017 05  03884·
 2017 06  603626.
 2017 07  793527.
 2017 08  223469·
 2017 09  143758·
 2017 10  223871.
 2017 11  513775.
 2017 12  723918·
 2018 01 783878·
 2018 02 543958.
 2018 03 823862·
 2018 04 683869.
 2018 05 923705.
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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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