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 Series Title: Total At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Part Time: NSA
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 2000 01 93343·
 2000 02 38309·
 2000 03 91333·
 2000 04 7322.
 2000 05 61356.
 2000 06 33309.
 2000 07 3282.
 2000 08 83277·
 2000 09 64377·
 2000 10 96408·
 2000 11 85418·
 2000 12 27384·
 2001 01  53394·
 2001 02  7417·
 2001 03  50397·
 2001 04  83324.
 2001 05  2323·
 2001 06  74286·
 2001 07  34286·
 2001 08  19261.
 2001 09  13326.
 2001 10  28349·
 2001 11  3377.
 2001 12  30366.
 2002 01 11309.
 2002 02 26337·
 2002 03 42318·
 2002 04 35318·
 2002 05 45288·
 2002 06 49264·
 2002 07 65219.
 2002 08 79277·
 2002 09 92255·
 2002 10 5261.
 2002 11 11265.
 2002 12 29272.
 2003 01  52246.
 2003 02  24304·
 2003 03  41300·
 2003 04  81260.
 2003 05  50261.
 2003 06  63305.
 2003 07  44253.
 2003 08  53273.
 2003 09  36297·
 2003 10  4331.
 2003 11  33294.
 2003 12  90299.
 2004 01 87269.
 2004 02 54302·
 2004 03 46295·
 2004 04 61292·
 2004 05 2317.
 2004 06 45316·
 2004 07 44275·
 2004 08 60288·
 2004 09 7302.
 2004 10 32253.
 2004 11 18293·
 2004 12 6298·
 2005 01  51249·
 2005 02  98290.
 2005 03  78321.
 2005 04  43335.
 2005 05  12248.
 2005 06  49242·
 2005 07  64262.
 2005 08  41235.
 2005 09  88288·
 2005 10  16315.
 2005 11  37271·
 2005 12  93284.
 2006 01 6295·
 2006 02 57294·
 2006 03 87263.
 2006 04 18279.
 2006 05 15258.
 2006 06 54250.
 2006 07 25253.
 2006 08 62258·
 2006 09 92307·
 2006 10 12333·
 2006 11 90292·
 2006 12 93315.
 2007 01  36321.
 2007 02  63343·
 2007 03  44271·
 2007 04  4287·
 2007 05  73265.
 2007 06  65230.
 2007 07  76260.
 2007 08  16246.
 2007 09  53343.
 2007 10  98313.
 2007 11  99311.
 2007 12  72296·
 2008 01 52301.
 2008 02 69248.
 2008 03 49265·
 2008 04 42311·
 2008 05 70255·
 2008 06 11278.
 2008 07 91257.
 2008 08 19254·
 2008 09 33353.
 2008 10 79350.
 2008 11 12314·
 2008 12 23337·
 2009 01  90328.
 2009 02  55337.
 2009 03  25277·
 2009 04  98315.
 2009 05  18276·
 2009 06  46308·
 2009 07  67312·
 2009 08  13276·
 2009 09  16285·
 2009 10  84283.
 2009 11  3267.
 2009 12  63264.
 2010 01 10233·
 2010 02 25218·
 2010 03 19241·
 2010 04 65223.
 2010 05 51273.
 2010 06 50285·
 2010 07 28276.
 2010 08 66313·
 2010 09 14261·
 2010 10 67251·
 2010 11 69307.
 2010 12 32268·
 2011 01  98275.
 2011 02  7273·
 2011 03  4281.
 2011 04  60286.
 2011 05  31255.
 2011 06  27252.
 2011 07  21269.
 2011 08  67264·
 2011 09  61289·
 2011 10  8290.
 2011 11  33293.
 2011 12  99303.
 2012 01 64277.
 2012 02 58319·
 2012 03 78315.
 2012 04 24284.
 2012 05 42250.
 2012 06 6235·
 2012 07 19229.
 2012 08 36227.
 2012 09 18251.
 2012 10 12276.
 2012 11 44284·
 2012 12 54286·
 2013 01  45266.
 2013 02  55295·
 2013 03  65272·
 2013 04  23207.
 2013 05  96210·
 2013 06  42247.
 2013 07  21264.
 2013 08  12244.
 2013 09  72319·
 2013 10  6280.
 2013 11  74328·
 2013 12  15237.
 2014 01 99230·
 2014 02 3287·
 2014 03 13258·
 2014 04 51285.
 2014 05 27277.
 2014 06 14234·
 2014 07 49292·
 2014 08 64290·
 2014 09 32280·
 2014 10 46279.
 2014 11 22236.
 2014 12 23284·
 2015 01  13252·
 2015 02  31339.
 2015 03  94328.
 2015 04  23303.
 2015 05  97278.
 2015 06  25261·
 2015 07  52251·
 2015 08  83236·
 2015 09  34245.
 2015 10  11284·
 2015 11  11268·
 2015 12  46274.
 2016 01 98298.
 2016 02 94284.
 2016 03 6298·
 2016 04 82249.
 2016 05 91255.
 2016 06 6250·
 2016 07 3258·
 2016 08 85278.
 2016 09 38343·
 2016 10 5376·
 2016 11 88389.
 2016 12 74362·
 2017 01  89309·
 2017 02  71302·


 2017 03  74272·
 2017 04  94309·
 2017 05  20304.
 2017 06  11246.
 2017 07  99283·
 2017 08  13249.
 2017 09  30284·
 2017 10  57342·
 2017 11  27321.
 2017 12  25317.
 2018 01 46266.
 2018 02 66352·
 2018 03 44309.
 2018 04 51289·
 2018 05 18247.
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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: Total At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours, for Noneconomic Reasons, Usually Work Part Time: 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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