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 Series Title: Employment Level: Office and Administrative Support Occupations in Nondurable Goods Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 66533·
 2012 03 78522·
 2012 02 84516.
 2012 01 17495·
 2011 12  37477·
 2011 11  3517·
 2011 10  77471.
 2011 09  51465·
 2011 08  99456·
 2011 07  51428·
 2011 06  96506·
 2011 05  9574·
 2011 04  3599·
 2011 03  4553.
 2011 02  54537.
 2011 01  35524·
 2010 12 24514.
 2010 11 69489.
 2010 10 88453.
 2010 09 97437.
 2010 08 63429·
 2010 07 78456.
 2010 06 62481·
 2010 05 91545·
 2010 04 44521·
 2010 03 86558·
 2010 02 64514·
 2010 01 35481.
 2009 12  19483.
 2009 11  76504.
 2009 10  6543·
 2009 09  73545·
 2009 08  63557·
 2009 07  55541·
 2009 06  26506·
 2009 05  75506·
 2009 04  75480·
 2009 03  53477·
 2009 02  87488·
 2009 01  34441·
 2008 12 82477.
 2008 11 28547·
 2008 10 77609.
 2008 09 70636·
 2008 08 34659·
 2008 07 62626.
 2008 06 10582·
 2008 05 27553.
 2008 04 6560·
 2008 03 60589·
 2008 02 22564.
 2008 01 74595·
 2007 12  99576.
 2007 11  55581·
 2007 10  77597·
 2007 09  6578·
 2007 08  38584.
 2007 07  2600.
 2007 06  62569·
 2007 05  40613.
 2007 04  73618·
 2007 03  85612·
 2007 02  91557·
 2007 01  23591.
 2006 12 80617.
 2006 11 9577.
 2006 10 1552·
 2006 09 21545·
 2006 08 59537.
 2006 07 6539.
 2006 06 56622.
 2006 05 31581.
 2006 04 36572·
 2006 03 33560·
 2006 02 42548·
 2006 01 70575·
 2005 12  61580·
 2005 11  71614.
 2005 10  74612.
 2005 09  84610·
 2005 08  9612.
 2005 07  28670.
 2005 06  89674.
 2005 05  41614.
 2005 04  81631·
 2005 03  33630·
 2005 02  49645·
 2005 01  35648.
 2004 12 2658.
 2004 11 46674.
 2004 10 44669·
 2004 09 86641·
 2004 08 23660·
 2004 07 46673.
 2004 06 84715.
 2004 05 37759.
 2004 04 18651·
 2004 03 40608·
 2004 02 10579·
 2004 01 58580.
 2003 12  89612·
 2003 11  61637.
 2003 10  83676·
 2003 09  43624·
 2003 08  61609.
 2003 07  65599·
 2003 06  91593·
 2003 05  10647.
 2003 04  83717.
 2003 03  33684.
 2003 02  47698·
 2003 01  5682.
 2002 12 33576.
 2002 11 72645·
 2002 10 89608·
 2002 09 97610.
 2002 08 9675·
 2002 07 14704.
 2002 06 80741·
 2002 05 79761·
 2002 04 37714.
 2002 03 16681·
 2002 02 8661.
 2002 01 70674·
 2001 12  68659.
 2001 11  58729.
 2001 10  86746·
 2001 09  15725·
 2001 08  77760·
 2001 07  48765·
 2001 06  52803.
 2001 05  83747.
 2001 04  65706·
 2001 03  18732·
 2001 02  68721.
 2001 01  68758·
 2000 12 56835.
 2000 11 23781·
 2000 10 22795.
 2000 09 90790.
 2000 08 2747.
 2000 07 46846.
 2000 06 28829.
 2000 05 91805.
 2000 04 77777·
 2000 03 94748.
 2000 02 22805·
 2000 01 42803·
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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 Nondurable 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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