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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 521142·
 2000 02 491061·
 2000 03 221074·
 2000 04 631083·
 2000 05 861080·
 2000 06 71231·
 2000 07 441151·
 2000 08 471203·
 2000 09 43993.
 2000 10 201292·
 2000 11 241271·
 2000 12 851218·
 2001 01  731277·
 2001 02  701381·
 2001 03  731234.
 2001 04  232308·
 2001 05  511102·
 2001 06  621271·
 2001 07  301157·
 2001 08  281159·
 2001 09  781248·
 2001 10  291324.
 2001 11  581352.
 2001 12  961181.
 2002 01 791089.
 2002 02 281232.
 2002 03 451137·
 2002 04 451029·
 2002 05 51071.
 2002 06 391015·
 2002 07 41053·
 2002 08 211133·
 2002 09 31903.
 2002 10 70983.
 2002 11 721159.
 2002 12 901190.
 2003 01  571022·
 2003 02  521212·
 2003 03  121043·
 2003 04  49902.
 2003 05  81002.
 2003 06  42952·
 2003 07  131033.
 2003 08  161297·
 2003 09  36956·
 2003 10  221162·
 2003 11  861049.
 2003 12  351017.
 2004 01 15869.
 2004 02 97905.
 2004 03 71911·
 2004 04 751092·
 2004 05 47997.
 2004 06 1979·
 2004 07 301020.
 2004 08 301000.
 2004 09 551108·
 2004 10 891013.
 2004 11 511084.
 2004 12 21984·
 2005 01  91910.
 2005 02  42970·
 2005 03  46895·
 2005 04  90942.
 2005 05  30870.
 2005 06  69893·
 2005 07  54952.
 2005 08  7959.
 2005 09  73813.
 2005 10  01052.
 2005 11  381001·
 2005 12  66982.
 2006 01 441034·
 2006 02 921058·
 2006 03 84973·
 2006 04 861654·
 2006 05 95867·
 2006 06 26891·
 2006 07 8892.
 2006 08 11988.
 2006 09 0864.
 2006 10 101077·
 2006 11 451018·
 2006 12 11975.
 2007 01  611022·
 2007 02  741360.
 2007 03  60977.
 2007 04  791076·
 2007 05  1855.
 2007 06  76784·
 2007 07  391001.
 2007 08  351031.
 2007 09  73871·
 2007 10  98978·
 2007 11  97912·
 2007 12  23909.
 2008 01 50874·
 2008 02 451079.
 2008 03 70943.
 2008 04 12956.
 2008 05 35906.
 2008 06 49968·
 2008 07 211070·
 2008 08 97907·
 2008 09 511055.
 2008 10 681130·
 2008 11 401340·
 2008 12 951107.
 2009 01  491205·
 2009 02  821286.
 2009 03  371182.
 2009 04  521298.
 2009 05  61244·
 2009 06  991245·
 2009 07  521144.
 2009 08  361216·
 2009 09  203144.
 2009 10  491186.
 2009 11  481186.
 2009 12  431051.
 2010 01 18917.
 2010 02 911152·
 2010 03 11851·
 2010 04 90828.
 2010 05 50869.
 2010 06 5891.
 2010 07 55945.
 2010 08 221027.
 2010 09 91916.
 2010 10 97989·
 2010 11 181055·
 2010 12 8951·
 2011 01  421241·
 2011 02  0950.
 2011 03  63884·
 2011 04  42854.
 2011 05  28858·
 2011 06  71895.
 2011 07  78945.
 2011 08  44932.
 2011 09  0944·
 2011 10  901017·
 2011 11  75997·
 2011 12  57868·
 2012 01 32862.
 2012 02 65935·
 2012 03 931013.
 2012 04 51913.
 2012 05 26799.
 2012 06 27792.
 2012 07 94833.
 2012 08 20959.
 2012 09 6886·
 2012 10 32993·
 2012 11 66933·
 2012 12 83843·
 2013 01  23885.
 2013 02  63918·
 2013 03  22834.
 2013 04  84750.
 2013 05  53692·
 2013 06  27802·
 2013 07  0910.
 2013 08  92956·
 2013 09  95853.
 2013 10  54810·
 2013 11  64848.
 2013 12  2957.
 2014 01 76785.
 2014 02 11217·
 2014 03 0822·
 2014 04 32836.
 2014 05 46748.
 2014 06 50787·
 2014 07 21961·
 2014 08 271039.
 2014 09 79812.
 2014 10 81002·
 2014 11 66960.
 2014 12 56819·
 2015 01  77853·
 2015 02  6964.
 2015 03  98906·
 2015 04  13760.
 2015 05  64790·
 2015 06  1840·
 2015 07  4873·
 2015 08  16825.
 2015 09  923083·
 2015 10  741100.
 2015 11  97981.
 2015 12  11815·
 2016 01 35870.
 2016 02 33856.
 2016 03 16865·
 2016 04 67784.
 2016 05 94773.
 2016 06 9839.
 2016 07 22912·
 2016 08 77933.
 2016 09 95922·
 2016 10 581112·
 2016 11 41199·
 2016 12 601006.
 2017 01  87968·
 2017 02  62953·
 2017 03  751090·
 2017 04  611450·
 2017 05  47797·
 2017 06  28823·


 2017 07  73829.
 2017 08  50791.
 2017 09  73876.
 2017 10  87858.
 2017 11  61923·
 2017 12  19888.
 2018 01 93891·
 2018 02 961001.
 2018 03 25885·
 2018 04 89769·
 2018 05 56710.
 2018 06 37821·
 2018 07 81825.
 2018 08 3809.
 2018 09 38907.
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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

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

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