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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 132030·
 2000 02 252166·
 2000 03 182172.
 2000 04 02238·
 2000 05 32262·
 2000 06 642228.
 2000 07 192139.
 2000 08 352038·
 2000 09 611998.
 2000 10 11988.
 2000 11 202033·
 2000 12 692075.
 2001 01  342025.
 2001 02  182028.
 2001 03  351984·
 2001 04  461938·
 2001 05  11926.
 2001 06  221932·
 2001 07  21874.
 2001 08  341784·
 2001 09  591755.
 2001 10  441826·
 2001 11  841843.
 2001 12  291726.
 2002 01 361706.
 2002 02 411708.
 2002 03 681752.
 2002 04 491809·
 2002 05 801873.
 2002 06 951871·
 2002 07 671800.
 2002 08 391753.
 2002 09 691653.
 2002 10 121688.
 2002 11 201816·
 2002 12 671724·
 2003 01  11830.
 2003 02  241830·
 2003 03  891734·
 2003 04  271809·
 2003 05  31667.
 2003 06  881658.
 2003 07  611645·
 2003 08  391628·
 2003 09  251662.
 2003 10  851688·
 2003 11  511672·
 2003 12  481586·
 2004 01 421514·
 2004 02 221566.
 2004 03 961554·
 2004 04 211651.
 2004 05 551754·
 2004 06 301661.
 2004 07 581583·
 2004 08 531598.
 2004 09 881572·
 2004 10 661588·
 2004 11 261568·
 2004 12 641578.
 2005 01  941539·
 2005 02  131490·
 2005 03  121567.
 2005 04  981561.
 2005 05  461549.
 2005 06  761614.
 2005 07  551589.
 2005 08  231559·
 2005 09  451560.
 2005 10  861565.
 2005 11  171557.
 2005 12  341533·
 2006 01 161518.
 2006 02 21494·
 2006 03 861487.
 2006 04 491461.
 2006 05 111461·
 2006 06 41577·
 2006 07 751469·
 2006 08 141475.
 2006 09 41493·
 2006 10 991429.
 2006 11 221484·
 2006 12 971537.
 2007 01  961574·
 2007 02  181591.
 2007 03  901553.
 2007 04  921513·
 2007 05  121457·
 2007 06  191415.
 2007 07  671517.
 2007 08  191558·
 2007 09  31520.
 2007 10  831541.
 2007 11  651495·
 2007 12  211518·
 2008 01 431530.
 2008 02 161449.
 2008 03 231514·
 2008 04 681501·
 2008 05 341477.
 2008 06 501562.
 2008 07 31523·
 2008 08 541582·
 2008 09 01580·
 2008 10 431520.
 2008 11 931509·
 2008 12 981340·
 2009 01  931261·
 2009 02  751302·
 2009 03  71251·
 2009 04  451260.
 2009 05  871361.
 2009 06  531370.
 2009 07  811425.
 2009 08  621465·
 2009 09  831415.
 2009 10  81363·
 2009 11  801309·
 2009 12  451264.
 2010 01 61271.
 2010 02 981345.
 2010 03 911376.
 2010 04 131322·
 2010 05 71404.
 2010 06 51344.
 2010 07 261357·
 2010 08 91278.
 2010 09 611300.
 2010 10 331267.
 2010 11 241295.
 2010 12 41314.
 2011 01  691358·
 2011 02  171301.
 2011 03  471348.
 2011 04  901433.
 2011 05  551330·
 2011 06  111263.
 2011 07  841203.
 2011 08  871208·
 2011 09  711306.
 2011 10  971259.
 2011 11  471316·
 2011 12  401254.
 2012 01 911207.
 2012 02 831274.
 2012 03 741250·
 2012 04 171362.
 2012 05 161281·
 2012 06 01304.
 2012 07 291397·
 2012 08 131338·
 2012 09 711430·
 2012 10 51434.
 2012 11 981285·
 2012 12 461286.
 2013 01  81269.
 2013 02  781304.
 2013 03  951265·
 2013 04  621290.
 2013 05  01346.
 2013 06  281398.
 2013 07  581424.
 2013 08  281431.
 2013 09  491338.
 2013 10  851294·
 2013 11  501299·
 2013 12  401281·
 2014 01 801331.
 2014 02 61360.
 2014 03 581250·
 2014 04 151328.
 2014 05 441318·
 2014 06 721352.
 2014 07 951380.
 2014 08 01398.
 2014 09 151316·
 2014 10 911388.
 2014 11 01266.
 2014 12 611259.
 2015 01  941280.
 2015 02  941320.
 2015 03  351296·
 2015 04  951287.
 2015 05  71366·
 2015 06  381253.
 2015 07  881274.
 2015 08  191285.
 2015 09  41257·
 2015 10  41268.
 2015 11  731219·
 2015 12  791269.
 2016 01 601308.
 2016 02 991352·
 2016 03 261348·
 2016 04 421221.
 2016 05 761212·
 2016 06 551175·
 2016 07 101272·
 2016 08 41285.
 2016 09 761345·
 2016 10 271362·
 2016 11 151359·
 2016 12 831307.
 2017 01  131265·
 2017 02  991302.


 2017 03  521335.
 2017 04  241379·
 2017 05  601268·
 2017 06  761294·
 2017 07  591328·
 2017 08  951283·
 2017 09  181300.
 2017 10  901261·
 2017 11  01228·
 2017 12  911264.
 2018 01 131210.
 2018 02 981192.
 2018 03 621140·
 2018 04 321250·
 2018 05 961248·
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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

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

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