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 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
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 2000 01 971226·
 2000 02 911360·
 2000 03 711424·
 2000 04 151461·
 2000 05 231458.
 2000 06 11399·
 2000 07 541293.
 2000 08 181291.
 2000 09 101208.
 2000 10 31193·
 2000 11 321252·
 2000 12 141241.
 2001 01  71266.
 2001 02  791307.
 2001 03  171251.
 2001 04  471233.
 2001 05  891179·
 2001 06  361129·
 2001 07  471109.
 2001 08  851024·
 2001 09  581031·
 2001 10  41081·
 2001 11  861113·
 2001 12  231067.
 2002 01 391032·
 2002 02 411046.
 2002 03 211070·
 2002 04 801095.
 2002 05 821112·
 2002 06 291130.
 2002 07 651096·
 2002 08 01078·
 2002 09 621043.
 2002 10 741079·
 2002 11 561171·
 2002 12 521148.
 2003 01  801148.
 2003 02  71132.
 2003 03  581050.
 2003 04  311092.
 2003 05  611020·
 2003 06  861065·
 2003 07  561046.
 2003 08  561019.
 2003 09  561037.
 2003 10  921012.
 2003 11  661035·
 2003 12  70974·
 2004 01 39934.
 2004 02 32987·
 2004 03 24947.
 2004 04 42999·
 2004 05 13995·
 2004 06 36946.
 2004 07 94909.
 2004 08 68939·
 2004 09 0931.
 2004 10 63919.
 2004 11 62894·
 2004 12 66920·
 2005 01  54890·
 2005 02  93844.
 2005 03  44937·
 2005 04  80930·
 2005 05  47935.
 2005 06  34940.
 2005 07  75919.
 2005 08  80947·
 2005 09  82950.
 2005 10  16953.
 2005 11  19943.
 2005 12  59953.
 2006 01 83943.
 2006 02 96945.
 2006 03 64927·
 2006 04 36889.
 2006 05 0880·
 2006 06 57955.
 2006 07 23930.
 2006 08 57938.
 2006 09 10948.
 2006 10 5877.
 2006 11 34907·
 2006 12 89920.
 2007 01  12984.
 2007 02  711034.
 2007 03  59941·
 2007 04  28895.
 2007 05  33844·
 2007 06  12846.
 2007 07  87917.
 2007 08  92974·
 2007 09  21942.
 2007 10  9944·
 2007 11  30915.
 2007 12  25942.
 2008 01 53935·
 2008 02 70885.
 2008 03 26925·
 2008 04 97941.
 2008 05 30924·
 2008 06 26980.
 2008 07 39897.
 2008 08 1923·
 2008 09 75944·
 2008 10 33911·
 2008 11 55961.
 2008 12 57863.
 2009 01  41820·
 2009 02  74814·
 2009 03  89774·
 2009 04  9780.
 2009 05  2856.
 2009 06  55865.
 2009 07  77884·
 2009 08  26908.
 2009 09  58870·
 2009 10  7820.
 2009 11  83806.
 2009 12  2781·
 2010 01 36789·
 2010 02 87831.
 2010 03 95817.
 2010 04 57801·
 2010 05 84859·
 2010 06 77863·
 2010 07 25901·
 2010 08 34850·
 2010 09 80863.
 2010 10 84814·
 2010 11 11806·
 2010 12 3800·
 2011 01  23834·
 2011 02  38764.
 2011 03  17795.
 2011 04  57835·
 2011 05  39756.
 2011 06  97757·
 2011 07  30775·
 2011 08  17752·
 2011 09  77841·
 2011 10  43788.
 2011 11  63799.
 2011 12  25777.
 2012 01 14713·
 2012 02 82758.
 2012 03 53728.
 2012 04 52829·
 2012 05 49810·
 2012 06 45834·
 2012 07 65874·
 2012 08 91851.
 2012 09 9906.
 2012 10 90856·
 2012 11 86803·
 2012 12 61807·
 2013 01  43813·
 2013 02  97837.
 2013 03  28794·
 2013 04  8779·
 2013 05  28857.
 2013 06  74873·
 2013 07  29909·
 2013 08  98929.
 2013 09  62852·
 2013 10  52813·
 2013 11  53825.
 2013 12  28810·
 2014 01 73842·
 2014 02 88879.
 2014 03 87780·
 2014 04 16815.
 2014 05 9809.
 2014 06 64831·
 2014 07 45855·
 2014 08 6867.
 2014 09 47816.
 2014 10 86828.
 2014 11 63769·
 2014 12 67767·
 2015 01  86790·
 2015 02  85818·
 2015 03  5800·
 2015 04  94767.
 2015 05  54799.
 2015 06  19689.
 2015 07  60744·
 2015 08  5762.
 2015 09  98783.
 2015 10  69783·
 2015 11  39758.
 2015 12  45831·
 2016 01 96868·
 2016 02 41877·
 2016 03 80847.
 2016 04 83745·
 2016 05 47693.
 2016 06 68686.
 2016 07 47759.
 2016 08 14744.
 2016 09 77797.
 2016 10 6811.
 2016 11 28817.
 2016 12 55823·
 2017 01  36841·
 2017 02  37866.
 2017 03  35899·
 2017 04  51931·
 2017 05  0831.
 2017 06  67795.
 2017 07  6842.
 2017 08  72774·


 2017 09  69776·
 2017 10  27778·
 2017 11  4776·
 2017 12  12770·
 2018 01 69735.
 2018 02 75732.
 2018 03 17710·
 2018 04 89815.
 2018 05 49817·
 2018 06 93794.
 2018 07 58898·
 2018 08 48756.
 2018 09 85807·
 2018 10 86821.
 2018 11 65756·
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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: 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

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