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 Series Title: Persons At Work in Durable Goods Manufacturing Industries, Wage and Salary Workers: 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 8512222.
 2000 02 8912192·
 2000 03 4612312.
 2000 04 4112345.
 2000 05 8012118·
 2000 06 7611911.
 2000 07 3911283·
 2000 08 1111535·
 2000 09 1711684·
 2000 10 3611822·
 2000 11 711789.
 2000 12 5611936·
 2001 01  4511684.
 2001 02  5111677.
 2001 03  6411688·
 2001 04  1811466.
 2001 05  4011511·
 2001 06  2711209·
 2001 07  4810605·
 2001 08  6710697.
 2001 09  310783·
 2001 10  9810862·
 2001 11  2110597.
 2001 12  9810777.
 2002 01 5910534·
 2002 02 1810548·
 2002 03 7210622.
 2002 04 2810473.
 2002 05 5810406·
 2002 06 7010151·
 2002 07 139858·
 2002 08 310111·
 2002 09 7610130·
 2002 10 6010477.
 2002 11 8210364.
 2002 12 9210447·
 2003 01  1310475.
 2003 02  2010434·
 2003 03  4310095·
 2003 04  8810020·
 2003 05  949981·
 2003 06  79931·
 2003 07  829291.
 2003 08  119809·
 2003 09  709810·
 2003 10  29948·
 2003 11  1410193.
 2003 12  410201.
 2004 01 169982.
 2004 02 129971·
 2004 03 759678.
 2004 04 389827.
 2004 05 339825.
 2004 06 689681·
 2004 07 299499.
 2004 08 69886·
 2004 09 469940.
 2004 10 289806·
 2004 11 649889·
 2004 12 2810076.
 2005 01  610015.
 2005 02  729805.
 2005 03  929887.
 2005 04  479912.
 2005 05  879745·
 2005 06  89863·
 2005 07  519392.
 2005 08  329461·
 2005 09  909828.
 2005 10  679920·
 2005 11  510052.
 2005 12  7910302·
 2006 01 4110307.
 2006 02 510256·
 2006 03 4110403.
 2006 04 510130.
 2006 05 9010034·
 2006 06 510102.
 2006 07 729752.
 2006 08 559705·
 2006 09 139921.
 2006 10 739950·
 2006 11 369710.
 2006 12 999943.
 2007 01  99661.
 2007 02  4110005.
 2007 03  969941·
 2007 04  299853·
 2007 05  410115·
 2007 06  659717·
 2007 07  399519·
 2007 08  679649.
 2007 09  499809.
 2007 10  269967.
 2007 11  7910146·
 2007 12  5510105·
 2008 01 199892.
 2008 02 339820·
 2008 03 549867·
 2008 04 629967.
 2008 05 149790·
 2008 06 1510044·
 2008 07 269617.
 2008 08 849806.
 2008 09 609880.
 2008 10 319770.
 2008 11 839840·
 2008 12 389528.
 2009 01  79073·
 2009 02  608978.
 2009 03  388588.
 2009 04  708554·
 2009 05  308593·
 2009 06  118342·
 2009 07  308375.
 2009 08  488463.
 2009 09  308377·
 2009 10  158445·
 2009 11  208305·
 2009 12  678028.
 2010 01 337984.
 2010 02 288048·
 2010 03 988112·
 2010 04 458336·
 2010 05 888518.
 2010 06 338517.
 2010 07 758625·
 2010 08 278597·
 2010 09 718629.
 2010 10 358550.
 2010 11 898524·
 2010 12 828568.
 2011 01  838591·
 2011 02  668390.
 2011 03  48580·
 2011 04  48632·
 2011 05  498526·
 2011 06  838733·
 2011 07  88477.
 2011 08  128519.
 2011 09  198859.
 2011 10  688697·
 2011 11  138631.
 2011 12  508940.
 2012 01 688709.
 2012 02 278837·
 2012 03 578685·
 2012 04 888779·
 2012 05 978759·
 2012 06 928899·
 2012 07 38846.
 2012 08 198804·
 2012 09 329037.
 2012 10 199074·
 2012 11 399073·
 2012 12 638862·
 2013 01  238808·
 2013 02  918833·
 2013 03  788839.
 2013 04  648789·
 2013 05  458746.
 2013 06  138890.
 2013 07  588930.
 2013 08  919152·
 2013 09  989350.
 2013 10  189270.
 2013 11  419246.
 2013 12  389121·
 2014 01 99305.
 2014 02 629222.
 2014 03 168994·
 2014 04 249099.
 2014 05 269301.
 2014 06 279260.
 2014 07 969081.
 2014 08 949232·
 2014 09 279050.
 2014 10 199076·
 2014 11 179013.
 2014 12 169184·
 2015 01  109288.
 2015 02  709280·
 2015 03  449185·
 2015 04  859213.
 2015 05  29334·
 2015 06  379380.
 2015 07  649557·
 2015 08  209349.
 2015 09  539295·
 2015 10  19537·
 2015 11  909319.
 2015 12  659203.
 2016 01 399210·
 2016 02 699076.
 2016 03 609350·
 2016 04 899373·
 2016 05 599286.
 2016 06 739254·
 2016 07 369191·
 2016 08 869206·
 2016 09 399461.
 2016 10 689496·
 2016 11 89504.
 2016 12 769409·
 2017 01  309057·
 2017 02  389269.


 2017 03  879344.
 2017 04  29464.
 2017 05  69593·
 2017 06  889401·
 2017 07  119308.
 2017 08  348955·
 2017 09  699049·
 2017 10  509343·
 2017 11  439431.
 2017 12  669336·
 2018 01 439262·
 2018 02 829363.
 2018 03 729350.
 2018 04 179542·
 2018 05 809516·
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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: 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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