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 Series Title: Multiple Jobholders, Hours Vary On Primary Or Secondary Job, Men: NSA
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 1994 01 68679·
 1994 02 55703·
 1994 03 15628.
 1994 04 31682·
 1994 05 11694.
 1994 06 65755.
 1994 07 6720·
 1994 08 75867.
 1994 09 96697·
 1994 10 49720·
 1994 11 73649·
 1994 12 93671.
 1995 01  73596·
 1995 02  87742·
 1995 03  28709.
 1995 04  29721·
 1995 05  16763.
 1995 06  87719·
 1995 07  10761·
 1995 08  52743·
 1995 09  28790.
 1995 10  81769.
 1995 11  82757.
 1995 12  55809·
 1996 01 32699.
 1996 02 25831.
 1996 03 31702.
 1996 04 59796·
 1996 05 79884·
 1996 06 0960.
 1996 07 71828·
 1996 08 8848.
 1996 09 46914·
 1996 10 14984·
 1996 11 39963.
 1996 12 70882·
 1997 01  31845.
 1997 02  97852.
 1997 03  98755.
 1997 04  39762.
 1997 05  60875.
 1997 06  8949.
 1997 07  36920.
 1997 08  35909·
 1997 09  85894.
 1997 10  26972·
 1997 11  66906·
 1997 12  3795·
 1998 01 80861·
 1998 02 59847.
 1998 03 25854·
 1998 04 10839.
 1998 05 45912·
 1998 06 39799·
 1998 07 78821.
 1998 08 52796·
 1998 09 7827.
 1998 10 22817·
 1998 11 11906·
 1998 12 46898·
 1999 01  15928·
 1999 02  90932·
 1999 03  37864·
 1999 04  39841.
 1999 05  44823.
 1999 06  491019·
 1999 07  95890.
 1999 08  98777·
 1999 09  96766·
 1999 10  31868·
 1999 11  48824.
 1999 12  18797·
 2000 01 96865·
 2000 02 93919.
 2000 03 82796·
 2000 04 17864·
 2000 05 93780·
 2000 06 17720·
 2000 07 11808.
 2000 08 41797.
 2000 09 64809.
 2000 10 8792.
 2000 11 74806.
 2000 12 58842·
 2001 01  8788.
 2001 02  99793·
 2001 03  32716.
 2001 04  62755.
 2001 05  52879.
 2001 06  47740.
 2001 07  74806·
 2001 08  73775·
 2001 09  45890·
 2001 10  32837·
 2001 11  12754.
 2001 12  34782·
 2002 01 64819.
 2002 02 61758·
 2002 03 85766.
 2002 04 15786.
 2002 05 7804.
 2002 06 67892·
 2002 07 56834.
 2002 08 10784.
 2002 09 1835·
 2002 10 6744.
 2002 11 11728·
 2002 12 38868.
 2003 01  97772.
 2003 02  60836·
 2003 03  65798·
 2003 04  44783·
 2003 05  69772.
 2003 06  34860.
 2003 07  55944·
 2003 08  95876·
 2003 09  17839·
 2003 10  61837·
 2003 11  44860·
 2003 12  87797·
 2004 01 68823.
 2004 02 98785·
 2004 03 20751.
 2004 04 39760·
 2004 05 72872.
 2004 06 25962·
 2004 07 95871.
 2004 08 94870.
 2004 09 4971·
 2004 10 511030·
 2004 11 8887·
 2004 12 22963.
 2005 01  64809·
 2005 02  5889·
 2005 03  22896.
 2005 04  18872.
 2005 05  78851.
 2005 06  46859.
 2005 07  24827·
 2005 08  99867.
 2005 09  96913.
 2005 10  54881.
 2005 11  27865.
 2005 12  11784·
 2006 01 94806.
 2006 02 37839.
 2006 03 70907.
 2006 04 22815.
 2006 05 72885·
 2006 06 25891·
 2006 07 14923.
 2006 08 27769·
 2006 09 55887.
 2006 10 76862·
 2006 11 49798·
 2006 12 44811.
 2007 01  94689.
 2007 02  71784·
 2007 03  86734·
 2007 04  18746·
 2007 05  65711·
 2007 06  17771·
 2007 07  64850.
 2007 08  19812.
 2007 09  66804.
 2007 10  45765.
 2007 11  46764.
 2007 12  39746·
 2008 01 25748.
 2008 02 13713.
 2008 03 20724.
 2008 04 99741·
 2008 05 91739.
 2008 06 1820·
 2008 07 97859·
 2008 08 42805·
 2008 09 40717.
 2008 10 17698.
 2008 11 18744.
 2008 12 38653·
 2009 01  72795·
 2009 02  91777.
 2009 03  43698.
 2009 04  80715.
 2009 05  13691·
 2009 06  81722·
 2009 07  61707·
 2009 08  89666·
 2009 09  12769.
 2009 10  69640.
 2009 11  86603.
 2009 12  7670·
 2010 01 46666·
 2010 02 60684·
 2010 03 54618.
 2010 04 5684·
 2010 05 15592.
 2010 06 87728.
 2010 07 29604.
 2010 08 75603.
 2010 09 43541.
 2010 10 6573·
 2010 11 99564.
 2010 12 39597·
 2011 01  82585·
 2011 02  0628.
 2011 03  76537.
 2011 04  38626.
 2011 05  7629.
 2011 06  73619·
 2011 07  99557·
 2011 08  44557.
 2011 09  18655.
 2011 10  59659·
 2011 11  30671.
 2011 12  49711·
 2012 01 41650·
 2012 02 13696·
 2012 03 57631·
 2012 04 73634.
 2012 05 26656·
 2012 06 18579·
 2012 07 93567.
 2012 08 60532·
 2012 09 48611.
 2012 10 80613·
 2012 11 77678.
 2012 12 80608.
 2013 01  8680.
 2013 02  31665·
 2013 03  70564.
 2013 04  26608.
 2013 05  32671.
 2013 06  27603·
 2013 07  61584.
 2013 08  17564.
 2013 09  69558·
 2013 10  50518.
 2013 11  63592.
 2013 12  99567·
 2014 01 95539·
 2014 02 7619·
 2014 03 13591.
 2014 04 39539·
 2014 05 10625·
 2014 06 29610.
 2014 07 75566.
 2014 08 32602.
 2014 09 40582.
 2014 10 73574·
 2014 11 36602.
 2014 12 97544.
 2015 01  35658·
 2015 02  20621.
 2015 03  9571·
 2015 04  78570.
 2015 05  71598.
 2015 06  77554.
 2015 07  32537·
 2015 08  45555.
 2015 09  48580·
 2015 10  77667.
 2015 11  69641·
 2015 12  91647.
 2016 01 91560·
 2016 02 75570.
 2016 03 6473·
 2016 04 36467.
 2016 05 51507.
 2016 06 53477.
 2016 07 57538·
 2016 08 24438.
 2016 09 3470·
 2016 10 17581.
 2016 11 60538·
 2016 12 23521.
 2017 01  47635.
 2017 02  0606.
 2017 03  78635.
 2017 04  29582.
 2017 05  10580·
 2017 06  59516·
 2017 07  98588·
 2017 08  60522·
 2017 09  40502·


 2017 10  73598·
 2017 11  33523.
 2017 12  60560·
 2018 01 15600·
 2018 02 52601·
 2018 03 21612.
 2018 04 99572·
 2018 05 33569.
 2018 06 25519·
 2018 07 26551.
 2018 08 70522·
 2018 09 21519·
 2018 10 49539·
 2018 11 35541.
 2018 12 94700.
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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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