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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 14679·
 1994 02 10703·
 1994 03 6628·
 1994 04 9682.
 1994 05 53694·
 1994 06 72755.
 1994 07 5720.
 1994 08 18867.
 1994 09 59697.
 1994 10 33720.
 1994 11 5649.
 1994 12 25671·
 1995 01  81596.
 1995 02  73742·
 1995 03  19709.
 1995 04  75721·
 1995 05  95763·
 1995 06  0719.
 1995 07  84761.
 1995 08  37743.
 1995 09  2790.
 1995 10  46769.
 1995 11  64757·
 1995 12  6809.
 1996 01 27699.
 1996 02 67831·
 1996 03 46702.
 1996 04 99796·
 1996 05 20884.
 1996 06 44960.
 1996 07 44828.
 1996 08 62848·
 1996 09 57914.
 1996 10 85984·
 1996 11 95963.
 1996 12 63882·
 1997 01  38845.
 1997 02  20852.
 1997 03  62755.
 1997 04  97762·
 1997 05  89875·
 1997 06  7949·
 1997 07  33920·
 1997 08  83909.
 1997 09  59894·
 1997 10  28972.
 1997 11  22906·
 1997 12  65795·
 1998 01 24861.
 1998 02 88847.
 1998 03 65854.
 1998 04 11839·
 1998 05 85912·
 1998 06 20799.
 1998 07 25821·
 1998 08 17796.
 1998 09 68827·
 1998 10 80817·
 1998 11 91906.
 1998 12 2898·
 1999 01  21928·
 1999 02  49932.
 1999 03  76864·
 1999 04  9841·
 1999 05  22823.
 1999 06  361019·
 1999 07  17890.
 1999 08  7777.
 1999 09  69766·
 1999 10  70868.
 1999 11  78824·
 1999 12  91797·
 2000 01 89865.
 2000 02 9919.
 2000 03 45796·
 2000 04 80864·
 2000 05 32780·
 2000 06 34720.
 2000 07 33808·
 2000 08 19797·
 2000 09 74809·
 2000 10 52792.
 2000 11 78806.
 2000 12 75842.
 2001 01  14788·
 2001 02  95793.
 2001 03  45716.
 2001 04  44755·
 2001 05  79879.
 2001 06  20740.
 2001 07  20806.
 2001 08  44775·
 2001 09  18890·
 2001 10  7837.
 2001 11  17754.
 2001 12  20782·
 2002 01 7819.
 2002 02 64758·
 2002 03 73766.
 2002 04 40786·
 2002 05 46804·
 2002 06 21892.
 2002 07 51834·
 2002 08 0784·
 2002 09 61835·
 2002 10 37744.
 2002 11 40728·
 2002 12 17868.
 2003 01  2772.
 2003 02  92836·
 2003 03  52798.
 2003 04  37783.
 2003 05  44772.
 2003 06  94860.
 2003 07  26944·
 2003 08  28876.
 2003 09  89839·
 2003 10  73837.
 2003 11  23860·
 2003 12  84797·
 2004 01 61823.
 2004 02 87785·
 2004 03 32751·
 2004 04 25760·
 2004 05 10872.
 2004 06 16962·
 2004 07 65871·
 2004 08 95870·
 2004 09 12971·
 2004 10 681030·
 2004 11 61887.
 2004 12 63963.
 2005 01  68809.
 2005 02  75889·
 2005 03  83896.
 2005 04  22872·
 2005 05  3851.
 2005 06  93859·
 2005 07  19827.
 2005 08  93867·
 2005 09  67913·
 2005 10  3881.
 2005 11  80865.
 2005 12  19784·
 2006 01 35806·
 2006 02 12839.
 2006 03 6907.
 2006 04 70815·
 2006 05 9885·
 2006 06 53891.
 2006 07 59923.
 2006 08 39769.
 2006 09 13887.
 2006 10 80862.
 2006 11 26798·
 2006 12 46811·
 2007 01  98689·
 2007 02  77784.
 2007 03  22734.
 2007 04  35746.
 2007 05  39711·
 2007 06  50771.
 2007 07  83850·
 2007 08  75812·
 2007 09  36804.
 2007 10  31765.
 2007 11  73764·
 2007 12  60746·
 2008 01 16748·
 2008 02 75713·
 2008 03 80724.
 2008 04 9741.
 2008 05 28739·
 2008 06 65820.
 2008 07 16859·
 2008 08 67805·
 2008 09 47717·
 2008 10 8698·
 2008 11 19744·
 2008 12 2653·
 2009 01  75795.
 2009 02  34777.
 2009 03  53698.
 2009 04  9715·
 2009 05  36691.
 2009 06  1722·
 2009 07  4707·
 2009 08  7666.
 2009 09  81769·
 2009 10  91640·
 2009 11  87603·
 2009 12  39670·
 2010 01 86666.
 2010 02 9684.
 2010 03 38618.
 2010 04 76684.
 2010 05 50592·
 2010 06 88728·
 2010 07 22604·
 2010 08 12603.
 2010 09 99541·
 2010 10 84573·
 2010 11 25564.
 2010 12 64597·
 2011 01  84585.
 2011 02  79628·
 2011 03  60537·
 2011 04  78626·
 2011 05  80629·
 2011 06  80619·
 2011 07  66557·
 2011 08  23557.
 2011 09  87655·
 2011 10  18659.
 2011 11  5671·
 2011 12  93711.
 2012 01 30650.
 2012 02 49696·
 2012 03 66631.
 2012 04 7634·
 2012 05 61656·
 2012 06 56579.
 2012 07 60567.
 2012 08 8532·
 2012 09 54611.
 2012 10 45613.
 2012 11 27678.
 2012 12 67608·
 2013 01  10680·
 2013 02  48665·
 2013 03  28564·
 2013 04  78608·
 2013 05  54671·
 2013 06  21603·
 2013 07  52584.
 2013 08  59564·
 2013 09  36558·
 2013 10  46518.
 2013 11  12592·
 2013 12  54567·
 2014 01 33539·
 2014 02 29619·
 2014 03 46591.
 2014 04 34539.
 2014 05 44625.
 2014 06 3610.
 2014 07 16566·
 2014 08 91602.
 2014 09 95582.
 2014 10 24574.
 2014 11 10602·
 2014 12 46544.
 2015 01  36658·
 2015 02  73621.
 2015 03  42571.
 2015 04  42570·
 2015 05  42598.
 2015 06  58554.
 2015 07  48537.
 2015 08  48555.
 2015 09  15580.
 2015 10  9667·
 2015 11  93641.
 2015 12  58647·
 2016 01 79560·
 2016 02 84570·
 2016 03 63473·
 2016 04 93467.
 2016 05 84507.
 2016 06 64477.
 2016 07 73538.
 2016 08 95438.
 2016 09 7470·
 2016 10 55581·
 2016 11 59538·
 2016 12 34521.
 2017 01  47635·
 2017 02  90606.


 2017 03  85635·
 2017 04  4582·
 2017 05  30580·
 2017 06  25516.
 2017 07  38588·
 2017 08  25522.
 2017 09  6502·
 2017 10  42598.
 2017 11  31523·
 2017 12  39560.
 2018 01 52600.
 2018 02 47601.
 2018 03 3612·
 2018 04 18572·
 2018 05 66569·
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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