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: Employment Level: Office and Administrative Support Occupations in Durable Goods Manufacturing Industry: 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 301226.
 2000 02 551360.
 2000 03 291424·
 2000 04 601461.
 2000 05 821458·
 2000 06 301399.
 2000 07 401293·
 2000 08 811291·
 2000 09 01208.
 2000 10 21193·
 2000 11 531252.
 2000 12 11241·
 2001 01  351266·
 2001 02  551307.
 2001 03  791251.
 2001 04  641233.
 2001 05  621179·
 2001 06  951129.
 2001 07  571109·
 2001 08  381024.
 2001 09  811031.
 2001 10  531081·
 2001 11  491113·
 2001 12  191067.
 2002 01 191032.
 2002 02 861046.
 2002 03 441070.
 2002 04 251095.
 2002 05 241112.
 2002 06 761130.
 2002 07 541096.
 2002 08 01078·
 2002 09 741043·
 2002 10 291079.
 2002 11 181171.
 2002 12 141148·
 2003 01  671148.
 2003 02  771132.
 2003 03  981050·
 2003 04  611092.
 2003 05  301020·
 2003 06  771065.
 2003 07  811046·
 2003 08  591019.
 2003 09  131037.
 2003 10  101012.
 2003 11  821035.
 2003 12  53974.
 2004 01 91934.
 2004 02 83987.
 2004 03 37947·
 2004 04 12999.
 2004 05 65995.
 2004 06 27946·
 2004 07 11909·
 2004 08 31939.
 2004 09 59931.
 2004 10 99919·
 2004 11 89894.
 2004 12 28920·
 2005 01  25890·
 2005 02  82844.
 2005 03  87937.
 2005 04  47930.
 2005 05  38935·
 2005 06  80940.
 2005 07  40919·
 2005 08  58947.
 2005 09  98950·
 2005 10  27953.
 2005 11  13943.
 2005 12  55953.
 2006 01 31943·
 2006 02 78945·
 2006 03 93927·
 2006 04 56889·
 2006 05 87880.
 2006 06 16955·
 2006 07 93930·
 2006 08 7938.
 2006 09 41948·
 2006 10 47877·
 2006 11 51907·
 2006 12 76920·
 2007 01  93984·
 2007 02  31034.
 2007 03  30941.
 2007 04  57895·
 2007 05  70844·
 2007 06  39846·
 2007 07  18917·
 2007 08  70974.
 2007 09  22942·
 2007 10  39944.
 2007 11  27915·
 2007 12  58942.
 2008 01 23935·
 2008 02 8885.
 2008 03 96925·
 2008 04 91941.
 2008 05 75924.
 2008 06 79980·
 2008 07 87897.
 2008 08 63923.
 2008 09 2944.
 2008 10 7911.
 2008 11 88961·
 2008 12 93863.
 2009 01  56820·
 2009 02  75814.
 2009 03  13774·
 2009 04  25780·
 2009 05  11856·
 2009 06  89865.
 2009 07  98884.
 2009 08  29908.
 2009 09  68870·
 2009 10  80820.
 2009 11  8806·
 2009 12  98781·
 2010 01 52789·
 2010 02 6831.
 2010 03 29817.
 2010 04 51801·
 2010 05 14859.
 2010 06 48863·
 2010 07 76901.
 2010 08 34850·
 2010 09 29863.
 2010 10 13814.
 2010 11 84806.
 2010 12 14800·
 2011 01  97834.
 2011 02  32764·
 2011 03  19795.
 2011 04  86835.
 2011 05  45756.
 2011 06  62757.
 2011 07  66775.
 2011 08  69752·
 2011 09  21841.
 2011 10  85788·
 2011 11  40799.
 2011 12  8777.
 2012 01 2713·
 2012 02 7758.
 2012 03 79728·
 2012 04 71829.
 2012 05 88810.
 2012 06 60834·
 2012 07 44874.
 2012 08 53851.
 2012 09 5906.
 2012 10 0856·
 2012 11 24803.
 2012 12 72807.
 2013 01  2813·
 2013 02  10837·
 2013 03  32794·
 2013 04  74779·
 2013 05  55857.
 2013 06  95873·
 2013 07  6909·
 2013 08  26929.
 2013 09  65852.
 2013 10  88813.
 2013 11  9825.
 2013 12  23810·
 2014 01 57842·
 2014 02 45879·
 2014 03 28780·
 2014 04 85815·
 2014 05 82809.
 2014 06 47831.
 2014 07 76855.
 2014 08 55867·
 2014 09 14816·
 2014 10 2828·
 2014 11 92769.
 2014 12 3767·
 2015 01  54790.
 2015 02  41818.
 2015 03  38800.
 2015 04  22767.
 2015 05  28799.
 2015 06  21689·
 2015 07  2744.
 2015 08  33762·
 2015 09  86783·
 2015 10  23783·
 2015 11  97758·
 2015 12  78831·
 2016 01 2868·
 2016 02 54877·
 2016 03 61847.
 2016 04 27745·
 2016 05 79693.
 2016 06 45686·
 2016 07 57759·
 2016 08 75744·
 2016 09 41797·
 2016 10 54811·
 2016 11 72817·
 2016 12 40823·
 2017 01  38841·
 2017 02  62866.


 2017 03  20899·
 2017 04  67931·
 2017 05  46831·
 2017 06  75795·
 2017 07  39842.
 2017 08  24774·
 2017 09  66776·
 2017 10  25778.
 2017 11  90776·
 2017 12  6770.
 2018 01 22735·
 2018 02 69732.
 2018 03 63710·
 2018 04 32815·
 2018 05 65817·
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: Employment Level: Office and Administrative Support Occupations in Durable Goods Manufacturing Industry: 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

Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

Sites of Interest: Cheap Football Shirt * GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys * The Wall Street Examiner: Be prepared. Stay ahead of the herd

 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