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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 911226.
 2000 02 791360.
 2000 03 861424·
 2000 04 471461.
 2000 05 181458·
 2000 06 601399.
 2000 07 361293·
 2000 08 371291·
 2000 09 361208·
 2000 10 651193·
 2000 11 111252.
 2000 12 511241.
 2001 01  971266·
 2001 02  741307.
 2001 03  251251.
 2001 04  331233.
 2001 05  741179·
 2001 06  961129·
 2001 07  161109.
 2001 08  521024·
 2001 09  691031.
 2001 10  601081·
 2001 11  461113.
 2001 12  11067.
 2002 01 71032·
 2002 02 251046·
 2002 03 41070.
 2002 04 21095·
 2002 05 381112.
 2002 06 711130.
 2002 07 21096.
 2002 08 961078.
 2002 09 371043.
 2002 10 61079.
 2002 11 791171·
 2002 12 541148·
 2003 01  61148.
 2003 02  611132.
 2003 03  961050·
 2003 04  701092.
 2003 05  701020·
 2003 06  921065.
 2003 07  431046.
 2003 08  621019.
 2003 09  781037·
 2003 10  821012.
 2003 11  311035.
 2003 12  75974·
 2004 01 6934·
 2004 02 36987·
 2004 03 0947·
 2004 04 79999·
 2004 05 55995.
 2004 06 87946·
 2004 07 11909.
 2004 08 66939·
 2004 09 50931·
 2004 10 91919·
 2004 11 52894·
 2004 12 57920·
 2005 01  42890.
 2005 02  30844.
 2005 03  37937.
 2005 04  96930·
 2005 05  5935.
 2005 06  10940·
 2005 07  4919.
 2005 08  51947.
 2005 09  40950.
 2005 10  64953.
 2005 11  15943·
 2005 12  17953.
 2006 01 73943·
 2006 02 47945·
 2006 03 58927·
 2006 04 12889·
 2006 05 54880·
 2006 06 41955·
 2006 07 46930.
 2006 08 82938·
 2006 09 59948·
 2006 10 54877.
 2006 11 17907.
 2006 12 95920·
 2007 01  87984·
 2007 02  161034.
 2007 03  33941.
 2007 04  46895·
 2007 05  64844.
 2007 06  84846·
 2007 07  84917.
 2007 08  52974·
 2007 09  41942·
 2007 10  41944.
 2007 11  81915·
 2007 12  60942.
 2008 01 93935·
 2008 02 91885·
 2008 03 63925·
 2008 04 37941·
 2008 05 20924.
 2008 06 69980·
 2008 07 92897·
 2008 08 78923.
 2008 09 48944·
 2008 10 28911.
 2008 11 56961.
 2008 12 2863·
 2009 01  27820·
 2009 02  53814.
 2009 03  68774.
 2009 04  54780.
 2009 05  32856.
 2009 06  48865·
 2009 07  67884.
 2009 08  1908.
 2009 09  65870·
 2009 10  47820.
 2009 11  14806.
 2009 12  39781·
 2010 01 49789·
 2010 02 4831.
 2010 03 99817.
 2010 04 87801.
 2010 05 37859·
 2010 06 3863·
 2010 07 33901·
 2010 08 88850·
 2010 09 2863·
 2010 10 50814·
 2010 11 54806·
 2010 12 13800.
 2011 01  46834.
 2011 02  75764.
 2011 03  27795·
 2011 04  54835·
 2011 05  93756.
 2011 06  37757·
 2011 07  37775·
 2011 08  32752.
 2011 09  95841·
 2011 10  16788.
 2011 11  99799.
 2011 12  89777·
 2012 01 27713.
 2012 02 20758.
 2012 03 50728·
 2012 04 97829.
 2012 05 88810.
 2012 06 79834.
 2012 07 53874.
 2012 08 48851·
 2012 09 5906.
 2012 10 51856·
 2012 11 97803.
 2012 12 61807.
 2013 01  28813.
 2013 02  18837.
 2013 03  93794·
 2013 04  82779·
 2013 05  31857.
 2013 06  84873·
 2013 07  79909·
 2013 08  78929.
 2013 09  17852·
 2013 10  84813.
 2013 11  20825·
 2013 12  45810.
 2014 01 9842.
 2014 02 72879.
 2014 03 2780·
 2014 04 0815.
 2014 05 59809·
 2014 06 32831.
 2014 07 38855.
 2014 08 90867.
 2014 09 42816.
 2014 10 68828·
 2014 11 67769·
 2014 12 82767.
 2015 01  57790.
 2015 02  14818·
 2015 03  51800·
 2015 04  70767·
 2015 05  31799·
 2015 06  25689.
 2015 07  78744·
 2015 08  75762·
 2015 09  14783·
 2015 10  84783.
 2015 11  61758·
 2015 12  39831.
 2016 01 82868·
 2016 02 96877·
 2016 03 38847.
 2016 04 33745·
 2016 05 34693.
 2016 06 95686·
 2016 07 71759·
 2016 08 49744.
 2016 09 96797·
 2016 10 35811.
 2016 11 50817.
 2016 12 9823·
 2017 01  19841·
 2017 02  99866.
 2017 03  85899·
 2017 04  55931.
 2017 05  77831.


 2017 06  94795·
 2017 07  17842·
 2017 08  56774.
 2017 09  72776·
 2017 10  51778·
 2017 11  6776.
 2017 12  7770.
 2018 01 28735·
 2018 02 26732·
 2018 03 42710·
 2018 04 28815·
 2018 05 97817·
 2018 06 2794.
 2018 07 37898.
 2018 08 61756.
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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