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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  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 632030.
 2000 02 782166·
 2000 03 132172.
 2000 04 282238.
 2000 05 52262.
 2000 06 302228·
 2000 07 892139.
 2000 08 12038.
 2000 09 631998·
 2000 10 301988·
 2000 11 172033·
 2000 12 232075.
 2001 01  872025.
 2001 02  602028·
 2001 03  81984.
 2001 04  381938.
 2001 05  541926.
 2001 06  271932.
 2001 07  01874·
 2001 08  151784.
 2001 09  641755.
 2001 10  631826.
 2001 11  581843·
 2001 12  481726.
 2002 01 411706.
 2002 02 231708·
 2002 03 671752·
 2002 04 571809·
 2002 05 361873.
 2002 06 901871·
 2002 07 421800.
 2002 08 841753·
 2002 09 261653·
 2002 10 711688·
 2002 11 211816·
 2002 12 11724.
 2003 01  91830·
 2003 02  961830·
 2003 03  651734.
 2003 04  991809·
 2003 05  121667·
 2003 06  231658.
 2003 07  641645.
 2003 08  01628·
 2003 09  841662·
 2003 10  331688·
 2003 11  291672·
 2003 12  471586.
 2004 01 21514·
 2004 02 331566·
 2004 03 01554.
 2004 04 81651·
 2004 05 661754.
 2004 06 551661.
 2004 07 381583·
 2004 08 791598·
 2004 09 01572·
 2004 10 551588.
 2004 11 311568·
 2004 12 781578·
 2005 01  561539·
 2005 02  141490·
 2005 03  931567·
 2005 04  501561·
 2005 05  91549·
 2005 06  401614·
 2005 07  621589.
 2005 08  631559·
 2005 09  591560.
 2005 10  651565·
 2005 11  01557·
 2005 12  121533.
 2006 01 311518.
 2006 02 431494.
 2006 03 951487.
 2006 04 161461·
 2006 05 771461·
 2006 06 581577.
 2006 07 591469·
 2006 08 191475.
 2006 09 701493.
 2006 10 171429.
 2006 11 321484·
 2006 12 901537.
 2007 01  131574.
 2007 02  491591.
 2007 03  761553.
 2007 04  241513.
 2007 05  301457.
 2007 06  141415.
 2007 07  781517.
 2007 08  391558.
 2007 09  711520·
 2007 10  911541·
 2007 11  531495.
 2007 12  801518·
 2008 01 121530·
 2008 02 871449·
 2008 03 361514.
 2008 04 151501.
 2008 05 541477.
 2008 06 351562·
 2008 07 921523·
 2008 08 391582.
 2008 09 211580·
 2008 10 911520·
 2008 11 81509·
 2008 12 721340·
 2009 01  651261.
 2009 02  361302.
 2009 03  981251.
 2009 04  561260·
 2009 05  601361·
 2009 06  771370·
 2009 07  981425·
 2009 08  621465.
 2009 09  61415.
 2009 10  461363.
 2009 11  731309.
 2009 12  831264.
 2010 01 301271.
 2010 02 991345·
 2010 03 91376·
 2010 04 391322·
 2010 05 821404·
 2010 06 191344·
 2010 07 201357·
 2010 08 741278·
 2010 09 371300·
 2010 10 111267·
 2010 11 441295.
 2010 12 561314·
 2011 01  951358.
 2011 02  71301·
 2011 03  431348.
 2011 04  811433·
 2011 05  821330.
 2011 06  651263·
 2011 07  51203.
 2011 08  671208·
 2011 09  491306·
 2011 10  651259·
 2011 11  441316.
 2011 12  581254.
 2012 01 691207.
 2012 02 141274·
 2012 03 971250.
 2012 04 231362·
 2012 05 451281.
 2012 06 441304·
 2012 07 271397·
 2012 08 571338.
 2012 09 21430·
 2012 10 121434·
 2012 11 221285·
 2012 12 791286.
 2013 01  891269.
 2013 02  991304.
 2013 03  951265.
 2013 04  321290.
 2013 05  821346·
 2013 06  111398.
 2013 07  841424·
 2013 08  871431·
 2013 09  821338.
 2013 10  821294·
 2013 11  511299.
 2013 12  371281.
 2014 01 141331·
 2014 02 661360.
 2014 03 851250·
 2014 04 11328·
 2014 05 281318·
 2014 06 461352·
 2014 07 991380.
 2014 08 231398.
 2014 09 01316.
 2014 10 281388.
 2014 11 291266.
 2014 12 741259.
 2015 01  301280·
 2015 02  441320.
 2015 03  401296·
 2015 04  451287·
 2015 05  441366·
 2015 06  511253.
 2015 07  191274·
 2015 08  581285·
 2015 09  911257.
 2015 10  311268·
 2015 11  791219.
 2015 12  561269.
 2016 01 481308.
 2016 02 891352·
 2016 03 581348.
 2016 04 71221.
 2016 05 151212.
 2016 06 581175·
 2016 07 191272·
 2016 08 71285·
 2016 09 161345.
 2016 10 941362.
 2016 11 491359·
 2016 12 751307·
 2017 01  31265·
 2017 02  791302.
 2017 03  621335·
 2017 04  541379.
 2017 05  511268·
 2017 06  191294·
 2017 07  951328·
 2017 08  141283.


 2017 09  601300.
 2017 10  471261.
 2017 11  111228.
 2017 12  481264.
 2018 01 561210·
 2018 02 181192·
 2018 03 991140.
 2018 04 771250.
 2018 05 891248·
 2018 06 151212.
 2018 07 711333·
 2018 08 431161.
 2018 09 351286.
 2018 10 441281.
 2018 11 651273.
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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 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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