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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 303914.
 1994 02 853973.
 1994 03 394083·
 1994 04 284224·
 1994 05 94124·
 1994 06 423935.
 1994 07 903923.
 1994 08 453858·
 1994 09 794299.
 1994 10 234317·
 1994 11 674275.
 1994 12 854235.
 1995 01  914117.
 1995 02  94550.
 1995 03  834479·
 1995 04  944481·
 1995 05  204707·
 1995 06  74309.
 1995 07  754228·
 1995 08  394152·
 1995 09  664402.
 1995 10  494594.
 1995 11  74394.
 1995 12  164363·
 1996 01 563998·
 1996 02 904560.
 1996 03 664594.
 1996 04 424480·
 1996 05 384632·
 1996 06 134209·
 1996 07 664167·
 1996 08 634252.
 1996 09 904514.
 1996 10 244802.
 1996 11 444866·
 1996 12 484576·
 1997 01  104240.
 1997 02  564427.
 1997 03  634308·
 1997 04  904392·
 1997 05  254498·
 1997 06  634519.
 1997 07  114359·
 1997 08  94172·
 1997 09  844483·
 1997 10  304617.
 1997 11  14629.
 1997 12  494563.
 1998 01 644435·
 1998 02 614466·
 1998 03 714619·
 1998 04 794466.
 1998 05 654649·
 1998 06 884182·
 1998 07 844190·
 1998 08 933945·
 1998 09 124344.
 1998 10 694662·
 1998 11 274522·
 1998 12 104488·
 1999 01  554459·
 1999 02  844431.
 1999 03  144541·
 1999 04  754346.
 1999 05  694331.
 1999 06  413989.
 1999 07  824066·
 1999 08  573879·
 1999 09  564238.
 1999 10  714426·
 1999 11  944532·
 1999 12  504475.
 2000 01 414438·
 2000 02 314315.
 2000 03 394411.
 2000 04 724377·
 2000 05 744348.
 2000 06 23879.
 2000 07 283956·
 2000 08 683899.
 2000 09 304188.
 2000 10 914190·
 2000 11 14146.
 2000 12 84234·
 2001 01  94025.
 2001 02  294253·
 2001 03  194301.
 2001 04  854124.
 2001 05  384246.
 2001 06  743956.
 2001 07  713945·
 2001 08  183851.
 2001 09  674120·
 2001 10  74005.
 2001 11  703998.
 2001 12  524046·
 2002 01 703903·
 2002 02 354171·
 2002 03 534092.
 2002 04 563985.
 2002 05 493918·
 2002 06 883789·
 2002 07 843771.
 2002 08 243714.
 2002 09 284190.
 2002 10 254113.
 2002 11 494056.
 2002 12 744279.
 2003 01  594095·
 2003 02  264329·
 2003 03  634102.
 2003 04  524009.
 2003 05  164074.
 2003 06  983943.
 2003 07  633935·
 2003 08  263842.
 2003 09  04030.
 2003 10  734260·
 2003 11  124064·
 2003 12  914118·
 2004 01 364076·
 2004 02 74087·
 2004 03 984181.
 2004 04 654047.
 2004 05 754020.
 2004 06 823953.
 2004 07 343976.
 2004 08 933955.
 2004 09 914203.
 2004 10 54359.
 2004 11 574294·
 2004 12 444352.
 2005 01  874023.
 2005 02  74318·
 2005 03  314211·
 2005 04  124194.
 2005 05  864268.
 2005 06  464036.
 2005 07  433990.
 2005 08  163765.
 2005 09  394119·
 2005 10  24233·
 2005 11  74060·
 2005 12  14088·
 2006 01 224120.
 2006 02 824149·
 2006 03 594271·
 2006 04 344060·
 2006 05 354155·
 2006 06 183772.
 2006 07 643864·
 2006 08 123880·
 2006 09 44247·
 2006 10 664434·
 2006 11 94256·
 2006 12 524421·
 2007 01  784197.
 2007 02  94272·
 2007 03  64380·
 2007 04  994446·
 2007 05  344221.
 2007 06  533978·
 2007 07  954044.
 2007 08  224041·
 2007 09  714311·
 2007 10  294336.
 2007 11  374248.
 2007 12  154109·
 2008 01 144059.
 2008 02 944210.
 2008 03 204205·
 2008 04 974271·
 2008 05 164242.
 2008 06 294079.
 2008 07 584013.
 2008 08 134090·
 2008 09 504322.
 2008 10 434275.
 2008 11 884107·
 2008 12 324117.
 2009 01  174083·
 2009 02  654352.
 2009 03  744345·
 2009 04  474437.
 2009 05  434015·
 2009 06  533781.
 2009 07  23860·
 2009 08  783642·
 2009 09  773929·
 2009 10  883936·
 2009 11  873849·
 2009 12  693682·
 2010 01 963775.
 2010 02 773923.
 2010 03 653826.
 2010 04 893812·
 2010 05 03817·
 2010 06 523517.
 2010 07 13341.
 2010 08 323345.
 2010 09 143515.
 2010 10 693558.
 2010 11 803613·
 2010 12 183687·
 2011 01  883645·
 2011 02  93698.
 2011 03  183735·
 2011 04  913584.
 2011 05  983712.
 2011 06  813458·
 2011 07  513512·
 2011 08  193455·
 2011 09  443700.
 2011 10  143703.
 2011 11  423776·
 2011 12  973771·
 2012 01 523637.
 2012 02 663844.
 2012 03 793824·
 2012 04 433760.
 2012 05 723874.
 2012 06 193420.
 2012 07 763460.
 2012 08 33433·
 2012 09 803644·
 2012 10 783874·
 2012 11 693840.
 2012 12 463587.
 2013 01  753513·
 2013 02  773875.
 2013 03  233753.
 2013 04  643741.
 2013 05  843772.
 2013 06  703480.
 2013 07  243424·
 2013 08  783482·
 2013 09  563556·
 2013 10  413543.
 2013 11  863650.
 2013 12  323500.
 2014 01 673394·
 2014 02 953789·
 2014 03 463696.
 2014 04 953657.
 2014 05 173771.
 2014 06 653470·
 2014 07 683346·
 2014 08 613431.
 2014 09 333649·
 2014 10 73982.
 2014 11 393924.
 2014 12 483706·
 2015 01  633684.
 2015 02  23727.
 2015 03  733818·
 2015 04  23574.
 2015 05  843628·
 2015 06  573449.
 2015 07  63529·
 2015 08  923505·
 2015 09  963826·
 2015 10  43944·
 2015 11  33835·
 2015 12  113905.
 2016 01 243615·
 2016 02 993627·
 2016 03 513801·
 2016 04 783701·
 2016 05 193798.
 2016 06 253597.
 2016 07 623536·
 2016 08 383607.
 2016 09 563975.
 2016 10 874073.
 2016 11 753991.
 2016 12 613810·
 2017 01  363662·
 2017 02  183939·
 2017 03  534014·
 2017 04  393784.
 2017 05  833884.
 2017 06  743626.


 2017 07  833527·
 2017 08  933469.
 2017 09  493758.
 2017 10  363871·
 2017 11  783775·
 2017 12  663918·
 2018 01 93878·
 2018 02 123958·
 2018 03 773862.
 2018 04 273869.
 2018 05 623705.
 2018 06 333612.
 2018 07 423734.
 2018 08 713662·
 2018 09 353724.
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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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