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 Series Title: Employment Level: Office and Administrative Support Occupations in Durable Goods Manufacturing Industry: NSA
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 2012 04 80829.
 2012 03 76728.
 2012 02 72758·
 2012 01 66713·
 2011 12  78777·
 2011 11  31799.
 2011 10  49788.
 2011 09  87841·
 2011 08  81752.
 2011 07  22775.
 2011 06  65757·
 2011 05  45756·
 2011 04  37835·
 2011 03  32795.
 2011 02  31764.
 2011 01  82834·
 2010 12 23800·
 2010 11 65806.
 2010 10 87814·
 2010 09 69863·
 2010 08 40850·
 2010 07 54901·
 2010 06 95863.
 2010 05 99859·
 2010 04 11801·
 2010 03 56817.
 2010 02 43831.
 2010 01 93789.
 2009 12  89781·
 2009 11  51806.
 2009 10  43820·
 2009 09  93870.
 2009 08  47908·
 2009 07  48884·
 2009 06  35865·
 2009 05  69856.
 2009 04  87780.
 2009 03  77774.
 2009 02  80814·
 2009 01  15820.
 2008 12 34863·
 2008 11 95961·
 2008 10 67911·
 2008 09 51944·
 2008 08 39923.
 2008 07 84897·
 2008 06 8980.
 2008 05 20924·
 2008 04 76941.
 2008 03 51925·
 2008 02 41885·
 2008 01 91935.
 2007 12  46942·
 2007 11  26915·
 2007 10  30944·
 2007 09  60942.
 2007 08  75974.
 2007 07  67917·
 2007 06  61846·
 2007 05  44844.
 2007 04  13895.
 2007 03  55941·
 2007 02  491034·
 2007 01  88984·
 2006 12 35920·
 2006 11 98907·
 2006 10 31877.
 2006 09 61948·
 2006 08 42938·
 2006 07 25930·
 2006 06 69955·
 2006 05 58880.
 2006 04 58889·
 2006 03 95927·
 2006 02 52945.
 2006 01 97943.
 2005 12  36953.
 2005 11  89943·
 2005 10  92953·
 2005 09  22950·
 2005 08  49947.
 2005 07  14919·
 2005 06  28940·
 2005 05  3935.
 2005 04  98930.
 2005 03  0937·
 2005 02  23844·
 2005 01  34890.
 2004 12 10920·
 2004 11 5894.
 2004 10 63919·
 2004 09 34931.
 2004 08 33939.
 2004 07 11909·
 2004 06 63946·
 2004 05 47995·
 2004 04 43999.
 2004 03 24947·
 2004 02 59987.
 2004 01 43934·
 2003 12  42974.
 2003 11  751035·
 2003 10  161012.
 2003 09  141037·
 2003 08  531019.
 2003 07  221046·
 2003 06  201065.
 2003 05  821020.
 2003 04  291092.
 2003 03  461050·
 2003 02  851132.
 2003 01  891148·
 2002 12 431148.
 2002 11 541171·
 2002 10 491079.
 2002 09 51043.
 2002 08 961078·
 2002 07 761096·
 2002 06 741130.
 2002 05 231112.
 2002 04 151095.
 2002 03 711070.
 2002 02 481046·
 2002 01 641032·
 2001 12  481067.
 2001 11  191113·
 2001 10  851081·
 2001 09  711031·
 2001 08  721024·
 2001 07  271109·
 2001 06  221129.
 2001 05  141179.
 2001 04  881233.
 2001 03  281251·
 2001 02  211307.
 2001 01  861266·
 2000 12 191241·
 2000 11 761252·
 2000 10 721193.
 2000 09 61208·
 2000 08 171291.
 2000 07 551293.
 2000 06 861399.
 2000 05 201458.
 2000 04 571461·
 2000 03 701424·
 2000 02 31360.
 2000 01 951226·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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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