Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employed: Wage and salary workers, Durable goods manufacturing: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2000 01 1412490.
 2000 02 6212471·
 2000 03 7512608.
 2000 04 7412643·
 2000 05 512421·
 2000 06 1612336·
 2000 07 5712032·
 2000 08 612096·
 2000 09 2512009.
 2000 10 3112126.
 2000 11 212147.
 2000 12 012201.
 2001 01  2411990.
 2001 02  8911920.
 2001 03  2411936.
 2001 04  9811857.
 2001 05  7811749·
 2001 06  9611582.
 2001 07  5911356·
 2001 08  7211147·
 2001 09  8711088·
 2001 10  8411174·
 2001 11  7210897·
 2001 12  1410981·
 2002 01 7610737.
 2002 02 1010751·
 2002 03 5010908.
 2002 04 4310699·
 2002 05 9610682·
 2002 06 5410446.
 2002 07 610511·
 2002 08 510484·
 2002 09 2210420.
 2002 10 2510733.
 2002 11 7810582·
 2002 12 6710739.
 2003 01  5410702·
 2003 02  5310713·
 2003 03  2810306·
 2003 04  2510262.
 2003 05  1910218·
 2003 06  9510239.
 2003 07  4510034.
 2003 08  9710190.
 2003 09  6610091·
 2003 10  3310232.
 2003 11  4110424·
 2003 12  2710427·
 2004 01 7110191.
 2004 02 7310187·
 2004 03 549931·
 2004 04 8510086·
 2004 05 3410065.
 2004 06 4710041·
 2004 07 4810047·
 2004 08 6410296.
 2004 09 8010147.
 2004 10 1210069.
 2004 11 1010099.
 2004 12 8510279.
 2005 01  6110248·
 2005 02  499997·
 2005 03  5210108.
 2005 04  9010138.
 2005 05  509985·
 2005 06  6510178.
 2005 07  149969·
 2005 08  509810.
 2005 09  5010084·
 2005 10  9210136.
 2005 11  5710264.
 2005 12  5810511.
 2006 01 8410507·
 2006 02 8510470.
 2006 03 7010673·
 2006 04 3310392·
 2006 05 410278.
 2006 06 2810374.
 2006 07 6610262·
 2006 08 2010074·
 2006 09 8510189·
 2006 10 2610178·
 2006 11 829895·
 2006 12 8710166.
 2007 01  279854.
 2007 02  1210229.
 2007 03  8210233·
 2007 04  3010142.
 2007 05  5510317·
 2007 06  4110003·
 2007 07  5210050·
 2007 08  6610037·
 2007 09  2110050.
 2007 10  9510214.
 2007 11  710360·
 2007 12  4010262·
 2008 01 9910077.
 2008 02 8210016.
 2008 03 8410070·
 2008 04 2210198·
 2008 05 9010023.
 2008 06 3210316.
 2008 07 4510176.
 2008 08 510147.
 2008 09 1910087·
 2008 10 39999·
 2008 11 8010058.
 2008 12 99729·
 2009 01  379261·
 2009 02  769115.
 2009 03  08731.
 2009 04  778766.
 2009 05  198765.
 2009 06  578620·
 2009 07  438758.
 2009 08  798756.
 2009 09  658630.
 2009 10  788636·
 2009 11  738474·
 2009 12  98198.
 2010 01 18108·
 2010 02 978197·
 2010 03 788246.
 2010 04 868489.
 2010 05 778666·
 2010 06 948714.
 2010 07 698953.
 2010 08 558913·
 2010 09 698782·
 2010 10 768728.
 2010 11 868654·
 2010 12 848740.
 2011 01  778748·
 2011 02  758556.
 2011 03  918711·
 2011 04  678801·
 2011 05  268725·
 2011 06  478960·
 2011 07  728844·
 2011 08  248800.
 2011 09  669074·
 2011 10  758840.
 2011 11  418808.
 2011 12  999094.
 2012 01 748869·
 2012 02 648968·
 2012 03 388862·
 2012 04 618965.
 2012 05 508929·
 2012 06 479076.
 2012 07 239160.
 2012 08 39104·
 2012 09 189242.
 2012 10 809259·
 2012 11 879219.
 2012 12 469020.
 2013 01  298980.
 2013 02  448999·
 2013 03  409028·
 2013 04  348959.
 2013 05  609022.
 2013 06  479091.
 2013 07  229306.
 2013 08  359474.
 2013 09  99513.
 2013 10  209447·
 2013 11  959477·
 2013 12  439369·
 2014 01 39453·
 2014 02 199386.
 2014 03 479180.
 2014 04 799217.
 2014 05 919492.
 2014 06 269546·
 2014 07 919438.
 2014 08 859566.
 2014 09 509256.
 2014 10 499235·
 2014 11 659176.
 2014 12 319375.
 2015 01  809469·
 2015 02  189422.
 2015 03  329388·
 2015 04  129371.
 2015 05  59538·
 2015 06  909600.
 2015 07  799859.
 2015 08  469688·
 2015 09  779570.
 2015 10  479732·
 2015 11  199453.
 2015 12  779359·
 2016 01 719360.
 2016 02 959250.
 2016 03 919553·
 2016 04 759586·
 2016 05 879480·
 2016 06 669512·
 2016 07 589542.
 2016 08 349531·
 2016 09 509704.
 2016 10 179725.
 2016 11 69660.
 2016 12 739590·
 2017 01  129249.
 2017 02  309451·
 2017 03  499567·
 2017 04  369726·
 2017 05  479793.
 2017 06  109642.
 2017 07  269697.
 2017 08  929265.


 2017 09  559338·
 2017 10  909515·
 2017 11  989590.
 2017 12  359471.
 2018 01 639451.
 2018 02 279520.
 2018 03 549588·
 2018 04 859688.
 2018 05 209667.
 2018 06 19416.
 2018 07 79514.
 2018 08 859558.
 2018 09 39671·
 2018 10 2010102.
 2018 11 949962.
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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: Employed: Wage and salary workers, Durable goods manufacturing: 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

Sites of Interest: Conerly Consulting: Economics for Business Decisions * GGG Marketing SEO Experts * homes for sale - Pelican Marsh * Naples Luxury Real Estate Communities *

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap