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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 87679·
 1994 02 35703·
 1994 03 7628.
 1994 04 12682.
 1994 05 82694·
 1994 06 53755.
 1994 07 63720.
 1994 08 77867·
 1994 09 44697.
 1994 10 70720·
 1994 11 19649.
 1994 12 40671.
 1995 01  23596·
 1995 02  67742·
 1995 03  89709.
 1995 04  47721·
 1995 05  93763.
 1995 06  50719·
 1995 07  10761·
 1995 08  65743.
 1995 09  57790·
 1995 10  52769·
 1995 11  46757.
 1995 12  90809·
 1996 01 38699.
 1996 02 29831·
 1996 03 85702·
 1996 04 39796.
 1996 05 87884.
 1996 06 62960.
 1996 07 39828.
 1996 08 59848.
 1996 09 80914.
 1996 10 59984.
 1996 11 46963.
 1996 12 16882·
 1997 01  18845·
 1997 02  51852·
 1997 03  70755·
 1997 04  6762·
 1997 05  24875.
 1997 06  94949.
 1997 07  97920.
 1997 08  48909.
 1997 09  51894.
 1997 10  71972.
 1997 11  42906·
 1997 12  86795.
 1998 01 72861.
 1998 02 88847.
 1998 03 41854.
 1998 04 89839.
 1998 05 90912·
 1998 06 76799·
 1998 07 58821·
 1998 08 51796·
 1998 09 28827.
 1998 10 92817.
 1998 11 80906.
 1998 12 92898·
 1999 01  38928.
 1999 02  18932·
 1999 03  21864.
 1999 04  55841·
 1999 05  95823·
 1999 06  601019.
 1999 07  19890.
 1999 08  10777·
 1999 09  99766·
 1999 10  51868.
 1999 11  35824·
 1999 12  50797.
 2000 01 75865.
 2000 02 46919·
 2000 03 59796·
 2000 04 96864·
 2000 05 74780·
 2000 06 28720.
 2000 07 3808·
 2000 08 90797·
 2000 09 72809.
 2000 10 2792·
 2000 11 5806·
 2000 12 3842.
 2001 01  69788.
 2001 02  1793·
 2001 03  27716·
 2001 04  28755·
 2001 05  89879·
 2001 06  82740.
 2001 07  59806.
 2001 08  84775.
 2001 09  85890·
 2001 10  25837.
 2001 11  12754.
 2001 12  16782.
 2002 01 30819.
 2002 02 38758.
 2002 03 24766·
 2002 04 93786·
 2002 05 25804·
 2002 06 52892.
 2002 07 59834·
 2002 08 9784·
 2002 09 96835.
 2002 10 24744·
 2002 11 4728.
 2002 12 82868.
 2003 01  94772.
 2003 02  36836·
 2003 03  72798.
 2003 04  58783·
 2003 05  93772·
 2003 06  94860.
 2003 07  2944·
 2003 08  6876.
 2003 09  93839·
 2003 10  29837.
 2003 11  55860.
 2003 12  18797.
 2004 01 21823·
 2004 02 99785.
 2004 03 20751.
 2004 04 16760·
 2004 05 27872·
 2004 06 85962.
 2004 07 10871.
 2004 08 42870·
 2004 09 85971·
 2004 10 931030·
 2004 11 63887·
 2004 12 66963·
 2005 01  98809.
 2005 02  56889·
 2005 03  41896·
 2005 04  82872.
 2005 05  89851.
 2005 06  30859·
 2005 07  32827.
 2005 08  9867·
 2005 09  9913·
 2005 10  96881.
 2005 11  50865.
 2005 12  91784·
 2006 01 34806·
 2006 02 62839·
 2006 03 32907·
 2006 04 98815·
 2006 05 63885.
 2006 06 59891.
 2006 07 41923.
 2006 08 23769·
 2006 09 24887.
 2006 10 43862.
 2006 11 65798·
 2006 12 87811.
 2007 01  65689·
 2007 02  96784.
 2007 03  17734.
 2007 04  32746·
 2007 05  62711.
 2007 06  25771·
 2007 07  35850.
 2007 08  28812·
 2007 09  16804·
 2007 10  62765·
 2007 11  81764.
 2007 12  69746.
 2008 01 51748.
 2008 02 62713.
 2008 03 44724·
 2008 04 74741.
 2008 05 20739.
 2008 06 9820.
 2008 07 36859·
 2008 08 88805.
 2008 09 95717.
 2008 10 7698·
 2008 11 96744.
 2008 12 80653·
 2009 01  79795.
 2009 02  90777.
 2009 03  85698·
 2009 04  43715·
 2009 05  97691·
 2009 06  13722.
 2009 07  93707.
 2009 08  97666.
 2009 09  98769.
 2009 10  59640.
 2009 11  32603.
 2009 12  86670·
 2010 01 59666·
 2010 02 34684.
 2010 03 40618·
 2010 04 79684·
 2010 05 79592.
 2010 06 69728·
 2010 07 79604.
 2010 08 71603·
 2010 09 85541·
 2010 10 21573·
 2010 11 38564.
 2010 12 79597.
 2011 01  26585.
 2011 02  73628·
 2011 03  30537·
 2011 04  50626·
 2011 05  78629.
 2011 06  30619.
 2011 07  92557·
 2011 08  51557.
 2011 09  41655.
 2011 10  24659·
 2011 11  88671·
 2011 12  77711.
 2012 01 41650.
 2012 02 11696.
 2012 03 4631.
 2012 04 47634.
 2012 05 28656.
 2012 06 74579.
 2012 07 55567.
 2012 08 5532.
 2012 09 77611.
 2012 10 20613.
 2012 11 78678·
 2012 12 20608·
 2013 01  89680.
 2013 02  78665.
 2013 03  36564·
 2013 04  87608.
 2013 05  89671.
 2013 06  8603.
 2013 07  16584·
 2013 08  24564.
 2013 09  28558.
 2013 10  89518.
 2013 11  32592.
 2013 12  76567.
 2014 01 81539·
 2014 02 29619·
 2014 03 22591.
 2014 04 12539·
 2014 05 48625.
 2014 06 59610·
 2014 07 48566.
 2014 08 25602·
 2014 09 55582.
 2014 10 36574·
 2014 11 99602.
 2014 12 36544.
 2015 01  53658.
 2015 02  42621·
 2015 03  87571·
 2015 04  88570·
 2015 05  15598·
 2015 06  82554.
 2015 07  49537·
 2015 08  51555·
 2015 09  44580.
 2015 10  90667·
 2015 11  50641·
 2015 12  18647.
 2016 01 64560·
 2016 02 21570·
 2016 03 77473·
 2016 04 8467.
 2016 05 26507·
 2016 06 57477·
 2016 07 43538·
 2016 08 66438.
 2016 09 5470.
 2016 10 5581.
 2016 11 85538.
 2016 12 62521·
 2017 01  1635.
 2017 02  96606·
 2017 03  67635.
 2017 04  88582.
 2017 05  41580·
 2017 06  88516.


 2017 07  76588·
 2017 08  65522·
 2017 09  73502·
 2017 10  61598.
 2017 11  26523·
 2017 12  36560·
 2018 01 75600.
 2018 02 22601.
 2018 03 54612.
 2018 04 70572.
 2018 05 45569.
 2018 06 3519·
 2018 07 23551·
 2018 08 63522·
 2018 09 10519.
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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

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

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