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 Series Title: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, Men: 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 39679·
 1994 02 5703.
 1994 03 39628·
 1994 04 8682.
 1994 05 1694.
 1994 06 10755·
 1994 07 27720.
 1994 08 76867·
 1994 09 61697.
 1994 10 44720·
 1994 11 46649.
 1994 12 73671·
 1995 01  69596·
 1995 02  90742·
 1995 03  11709·
 1995 04  44721·
 1995 05  0763·
 1995 06  54719·
 1995 07  58761·
 1995 08  59743.
 1995 09  54790.
 1995 10  68769·
 1995 11  52757.
 1995 12  11809.
 1996 01 58699.
 1996 02 88831·
 1996 03 79702·
 1996 04 19796.
 1996 05 62884·
 1996 06 96960·
 1996 07 52828.
 1996 08 28848·
 1996 09 40914·
 1996 10 98984·
 1996 11 10963·
 1996 12 7882·
 1997 01  94845.
 1997 02  27852·
 1997 03  16755·
 1997 04  50762.
 1997 05  48875.
 1997 06  38949.
 1997 07  57920·
 1997 08  75909.
 1997 09  54894·
 1997 10  14972·
 1997 11  46906.
 1997 12  28795.
 1998 01 86861·
 1998 02 61847.
 1998 03 21854·
 1998 04 78839·
 1998 05 45912·
 1998 06 11799·
 1998 07 45821.
 1998 08 17796.
 1998 09 56827.
 1998 10 20817.
 1998 11 6906·
 1998 12 66898.
 1999 01  70928.
 1999 02  71932·
 1999 03  16864.
 1999 04  69841.
 1999 05  61823·
 1999 06  691019·
 1999 07  15890.
 1999 08  95777·
 1999 09  32766.
 1999 10  46868·
 1999 11  63824.
 1999 12  38797.
 2000 01 6865.
 2000 02 59919.
 2000 03 51796.
 2000 04 17864.
 2000 05 34780.
 2000 06 90720.
 2000 07 89808·
 2000 08 77797.
 2000 09 92809·
 2000 10 45792.
 2000 11 17806.
 2000 12 85842.
 2001 01  80788·
 2001 02  56793.
 2001 03  97716.
 2001 04  38755.
 2001 05  24879·
 2001 06  80740·
 2001 07  16806.
 2001 08  53775·
 2001 09  73890·
 2001 10  98837·
 2001 11  89754·
 2001 12  75782.
 2002 01 3819·
 2002 02 16758·
 2002 03 52766.
 2002 04 73786.
 2002 05 15804·
 2002 06 67892.
 2002 07 69834·
 2002 08 41784·
 2002 09 34835.
 2002 10 7744.
 2002 11 28728·
 2002 12 99868·
 2003 01  11772·
 2003 02  18836·
 2003 03  41798.
 2003 04  89783.
 2003 05  20772·
 2003 06  6860.
 2003 07  46944.
 2003 08  83876·
 2003 09  62839·
 2003 10  4837.
 2003 11  6860.
 2003 12  73797.
 2004 01 63823·
 2004 02 66785·
 2004 03 10751.
 2004 04 79760·
 2004 05 72872.
 2004 06 77962.
 2004 07 69871·
 2004 08 45870·
 2004 09 66971·
 2004 10 411030·
 2004 11 23887·
 2004 12 40963.
 2005 01  45809·
 2005 02  90889.
 2005 03  33896·
 2005 04  59872.
 2005 05  34851.
 2005 06  82859·
 2005 07  88827.
 2005 08  19867·
 2005 09  83913.
 2005 10  98881·
 2005 11  0865·
 2005 12  67784.
 2006 01 68806·
 2006 02 44839·
 2006 03 8907·
 2006 04 70815.
 2006 05 89885·
 2006 06 53891·
 2006 07 74923.
 2006 08 23769·
 2006 09 72887.
 2006 10 80862·
 2006 11 87798.
 2006 12 45811.
 2007 01  67689·
 2007 02  7784·
 2007 03  58734.
 2007 04  80746.
 2007 05  50711.
 2007 06  42771·
 2007 07  27850.
 2007 08  97812·
 2007 09  20804·
 2007 10  15765.
 2007 11  55764·
 2007 12  90746.
 2008 01 3748.
 2008 02 84713·
 2008 03 31724.
 2008 04 80741·
 2008 05 51739·
 2008 06 30820.
 2008 07 68859.
 2008 08 8805·
 2008 09 37717.
 2008 10 59698·
 2008 11 4744.
 2008 12 46653·
 2009 01  62795.
 2009 02  4777.
 2009 03  1698.
 2009 04  87715·
 2009 05  52691·
 2009 06  20722·
 2009 07  47707·
 2009 08  49666·
 2009 09  58769·
 2009 10  90640.
 2009 11  55603.
 2009 12  78670.
 2010 01 54666.
 2010 02 20684.
 2010 03 64618.
 2010 04 43684.
 2010 05 41592·
 2010 06 42728·
 2010 07 35604·
 2010 08 37603·
 2010 09 44541·
 2010 10 13573.
 2010 11 58564·
 2010 12 79597·
 2011 01  14585·
 2011 02  14628.
 2011 03  44537·
 2011 04  15626.
 2011 05  26629.
 2011 06  51619.
 2011 07  32557·
 2011 08  12557.
 2011 09  81655·
 2011 10  57659·
 2011 11  85671.
 2011 12  65711·
 2012 01 3650.
 2012 02 88696·
 2012 03 90631.
 2012 04 94634.
 2012 05 44656.
 2012 06 25579.
 2012 07 60567·
 2012 08 42532·
 2012 09 79611·
 2012 10 76613.
 2012 11 34678.
 2012 12 78608·
 2013 01  7680.
 2013 02  71665·
 2013 03  74564·
 2013 04  97608.
 2013 05  55671.
 2013 06  69603·
 2013 07  68584.
 2013 08  18564.
 2013 09  73558·
 2013 10  49518·
 2013 11  29592.
 2013 12  85567.
 2014 01 36539.
 2014 02 20619.
 2014 03 94591·
 2014 04 67539.
 2014 05 45625.
 2014 06 12610.
 2014 07 28566.
 2014 08 58602.
 2014 09 25582.
 2014 10 82574.
 2014 11 17602.
 2014 12 78544·
 2015 01  26658·
 2015 02  12621.
 2015 03  74571.
 2015 04  70570·
 2015 05  24598.
 2015 06  8554.
 2015 07  38537·
 2015 08  3555.
 2015 09  20580·
 2015 10  2667·
 2015 11  71641.
 2015 12  73647·
 2016 01 37560·
 2016 02 52570.
 2016 03 61473·
 2016 04 97467·
 2016 05 28507·
 2016 06 37477·
 2016 07 21538.
 2016 08 20438.
 2016 09 67470.
 2016 10 66581·
 2016 11 89538.
 2016 12 12521·
 2017 01  55635.
 2017 02  69606·
 2017 03  28635.
 2017 04  66582·


 2017 05  17580·
 2017 06  3516.
 2017 07  26588·
 2017 08  1522.
 2017 09  4502·
 2017 10  50598.
 2017 11  96523·
 2017 12  62560.
 2018 01 91600.
 2018 02 17601.
 2018 03 74612·
 2018 04 18572·
 2018 05 77569.
 2018 06 35519.
 2018 07 26551·
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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: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, Men: 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

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