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 Series Title: Persons At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 931142.
 2000 02 141061.
 2000 03 521074.
 2000 04 521083.
 2000 05 861080·
 2000 06 271231.
 2000 07 481151.
 2000 08 551203·
 2000 09 33993·
 2000 10 251292.
 2000 11 331271·
 2000 12 441218.
 2001 01  841277·
 2001 02  911381.
 2001 03  191234.
 2001 04  642308·
 2001 05  151102.
 2001 06  321271.
 2001 07  451157·
 2001 08  831159·
 2001 09  261248·
 2001 10  781324.
 2001 11  721352·
 2001 12  961181.
 2002 01 421089.
 2002 02 861232.
 2002 03 891137·
 2002 04 211029.
 2002 05 141071.
 2002 06 391015.
 2002 07 101053.
 2002 08 31133.
 2002 09 17903·
 2002 10 43983·
 2002 11 711159.
 2002 12 111190·
 2003 01  511022·
 2003 02  291212·
 2003 03  351043.
 2003 04  39902.
 2003 05  431002·
 2003 06  54952.
 2003 07  911033·
 2003 08  71297·
 2003 09  42956·
 2003 10  01162·
 2003 11  521049·
 2003 12  581017·
 2004 01 24869·
 2004 02 74905·
 2004 03 55911·
 2004 04 621092·
 2004 05 89997·
 2004 06 6979.
 2004 07 631020.
 2004 08 121000.
 2004 09 621108·
 2004 10 541013.
 2004 11 641084·
 2004 12 28984.
 2005 01  94910.
 2005 02  99970·
 2005 03  71895·
 2005 04  54942.
 2005 05  61870·
 2005 06  49893.
 2005 07  22952.
 2005 08  60959·
 2005 09  62813.
 2005 10  341052.
 2005 11  801001.
 2005 12  38982.
 2006 01 231034.
 2006 02 111058.
 2006 03 33973·
 2006 04 91654.
 2006 05 95867·
 2006 06 62891·
 2006 07 93892.
 2006 08 17988·
 2006 09 53864·
 2006 10 931077.
 2006 11 981018·
 2006 12 30975.
 2007 01  971022·
 2007 02  361360.
 2007 03  12977.
 2007 04  431076·
 2007 05  53855.
 2007 06  49784.
 2007 07  221001·
 2007 08  751031.
 2007 09  70871.
 2007 10  12978.
 2007 11  41912·
 2007 12  70909.
 2008 01 25874.
 2008 02 311079·
 2008 03 8943.
 2008 04 97956.
 2008 05 18906.
 2008 06 40968.
 2008 07 841070·
 2008 08 51907.
 2008 09 751055.
 2008 10 941130·
 2008 11 581340.
 2008 12 501107·
 2009 01  441205·
 2009 02  751286.
 2009 03  421182·
 2009 04  401298.
 2009 05  31244.
 2009 06  891245.
 2009 07  751144·
 2009 08  871216·
 2009 09  513144.
 2009 10  691186·
 2009 11  201186.
 2009 12  881051·
 2010 01 14917·
 2010 02 701152.
 2010 03 64851·
 2010 04 61828.
 2010 05 42869.
 2010 06 76891.
 2010 07 20945.
 2010 08 501027.
 2010 09 11916.
 2010 10 91989.
 2010 11 261055·
 2010 12 25951·
 2011 01  201241.
 2011 02  48950·
 2011 03  45884.
 2011 04  79854.
 2011 05  96858·
 2011 06  4895·
 2011 07  65945·
 2011 08  31932.
 2011 09  89944.
 2011 10  401017·
 2011 11  99997.
 2011 12  27868·
 2012 01 74862.
 2012 02 62935·
 2012 03 851013.
 2012 04 34913·
 2012 05 51799.
 2012 06 3792·
 2012 07 85833.
 2012 08 48959·
 2012 09 46886.
 2012 10 19993.
 2012 11 88933·
 2012 12 87843.
 2013 01  10885.
 2013 02  92918·
 2013 03  6834.
 2013 04  95750·
 2013 05  17692.
 2013 06  28802.
 2013 07  78910.
 2013 08  41956.
 2013 09  68853·
 2013 10  58810·
 2013 11  65848·
 2013 12  21957·
 2014 01 89785.
 2014 02 411217.
 2014 03 57822.
 2014 04 52836·
 2014 05 30748·
 2014 06 57787·
 2014 07 65961·
 2014 08 791039·
 2014 09 65812.
 2014 10 121002·
 2014 11 28960.
 2014 12 71819.
 2015 01  97853.
 2015 02  39964·
 2015 03  9906.
 2015 04  22760.
 2015 05  49790.
 2015 06  95840.
 2015 07  96873.
 2015 08  52825·
 2015 09  733083.
 2015 10  601100.
 2015 11  1981·
 2015 12  4815.
 2016 01 44870.
 2016 02 41856·
 2016 03 62865.
 2016 04 48784·
 2016 05 62773.
 2016 06 71839·
 2016 07 43912.
 2016 08 77933·
 2016 09 52922·
 2016 10 51112·
 2016 11 311199·
 2016 12 121006.
 2017 01  66968.
 2017 02  26953.
 2017 03  391090·
 2017 04  951450·
 2017 05  78797·
 2017 06  39823.
 2017 07  5829·
 2017 08  97791.
 2017 09  88876·


 2017 10  77858.
 2017 11  91923.
 2017 12  11888.
 2018 01 23891·
 2018 02 971001.
 2018 03 87885·
 2018 04 56769.
 2018 05 32710.
 2018 06 79821.
 2018 07 4825.
 2018 08 77809.
 2018 09 91907.
 2018 10 31989.
 2018 11 80848.
 2018 12 43905.
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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: Persons At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers, Worked 1-34 Hours: 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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