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 Series Title: Employment Level: Office and Administrative Support Occupations in Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 92030.
 2000 02 32166.
 2000 03 72172.
 2000 04 722238·
 2000 05 772262.
 2000 06 992228·
 2000 07 192139·
 2000 08 492038.
 2000 09 801998·
 2000 10 611988·
 2000 11 12033.
 2000 12 932075·
 2001 01  692025·
 2001 02  732028·
 2001 03  651984·
 2001 04  491938·
 2001 05  181926·
 2001 06  401932·
 2001 07  501874.
 2001 08  851784.
 2001 09  291755·
 2001 10  941826.
 2001 11  181843.
 2001 12  961726.
 2002 01 261706·
 2002 02 921708.
 2002 03 571752.
 2002 04 11809.
 2002 05 611873·
 2002 06 151871·
 2002 07 811800·
 2002 08 441753·
 2002 09 81653.
 2002 10 701688.
 2002 11 261816·
 2002 12 951724.
 2003 01  671830·
 2003 02  891830·
 2003 03  571734.
 2003 04  461809.
 2003 05  651667.
 2003 06  291658.
 2003 07  601645.
 2003 08  191628.
 2003 09  521662.
 2003 10  701688.
 2003 11  491672·
 2003 12  561586.
 2004 01 31514·
 2004 02 201566.
 2004 03 611554·
 2004 04 271651.
 2004 05 171754·
 2004 06 101661·
 2004 07 601583·
 2004 08 261598·
 2004 09 221572.
 2004 10 981588.
 2004 11 331568.
 2004 12 721578.
 2005 01  671539.
 2005 02  631490.
 2005 03  941567.
 2005 04  91561.
 2005 05  281549.
 2005 06  141614.
 2005 07  791589.
 2005 08  61559.
 2005 09  41560·
 2005 10  821565·
 2005 11  531557.
 2005 12  581533.
 2006 01 221518.
 2006 02 231494·
 2006 03 21487.
 2006 04 841461.
 2006 05 311461·
 2006 06 191577·
 2006 07 401469.
 2006 08 281475.
 2006 09 81493.
 2006 10 781429·
 2006 11 51484.
 2006 12 581537·
 2007 01  521574.
 2007 02  291591·
 2007 03  601553·
 2007 04  701513·
 2007 05  891457.
 2007 06  301415·
 2007 07  921517·
 2007 08  821558·
 2007 09  691520·
 2007 10  641541·
 2007 11  141495.
 2007 12  381518.
 2008 01 681530.
 2008 02 351449.
 2008 03 651514.
 2008 04 71501.
 2008 05 861477·
 2008 06 771562·
 2008 07 71523·
 2008 08 851582.
 2008 09 491580·
 2008 10 451520·
 2008 11 281509.
 2008 12 891340·
 2009 01  61261·
 2009 02  211302·
 2009 03  401251·
 2009 04  641260.
 2009 05  341361.
 2009 06  121370.
 2009 07  831425.
 2009 08  791465.
 2009 09  321415.
 2009 10  501363.
 2009 11  181309.
 2009 12  281264·
 2010 01 261271.
 2010 02 901345.
 2010 03 341376.
 2010 04 311322·
 2010 05 671404.
 2010 06 161344·
 2010 07 431357.
 2010 08 311278.
 2010 09 291300·
 2010 10 331267.
 2010 11 841295.
 2010 12 981314·
 2011 01  141358·
 2011 02  731301·
 2011 03  191348·
 2011 04  261433.
 2011 05  461330.
 2011 06  931263.
 2011 07  361203·
 2011 08  331208·
 2011 09  761306.
 2011 10  741259.
 2011 11  491316·
 2011 12  651254·
 2012 01 801207·


 2012 02 231274.
 2012 03 941250·
 2012 04 891362·
 2012 05 571281·
 2012 06 721304.
 2012 07 351397.
 2012 08 11338.
 2012 09 341430.
 2012 10 771434·
 2012 11 591285.
 2012 12 201286·
 2013 01  601269·
 2013 02  201304·
 2013 03  811265.
 2013 04  891290.
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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 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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