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 Series Title: Employment Level: Service Occupations, Except Protective Occupations in Education and Health Services 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 125521.
 2000 02 965630.
 2000 03 215762.
 2000 04 675794.
 2000 05 345511·
 2000 06 265568·
 2000 07 495372.
 2000 08 405226.
 2000 09 155293.
 2000 10 485495·
 2000 11 725724·
 2000 12 75636.
 2001 01  75645.
 2001 02  445575.
 2001 03  35661.
 2001 04  105687·
 2001 05  855715.
 2001 06  215859.
 2001 07  795741.
 2001 08  185492.
 2001 09  505476·
 2001 10  105515·
 2001 11  635634·
 2001 12  265771.
 2002 01 265585.
 2002 02 685734.
 2002 03 435930·
 2002 04 545943.
 2002 05 645913.
 2002 06 765822·
 2002 07 325639.
 2002 08 445597·
 2002 09 395846·
 2002 10 416035·
 2002 11 696117·
 2002 12 676184·
 2003 01  526118.
 2003 02  955872·
 2003 03  156015·
 2003 04  166006.
 2003 05  295956·
 2003 06  945940·
 2003 07  606046·
 2003 08  115880.
 2003 09  195856.
 2003 10  205841.
 2003 11  145716.
 2003 12  955815.
 2004 01 985748.
 2004 02 805672·
 2004 03 185871·
 2004 04 385998.
 2004 05 676000·
 2004 06 56067.
 2004 07 336012.
 2004 08 345901.
 2004 09 505999.
 2004 10 526288·
 2004 11 476184.
 2004 12 26166·
 2005 01  986068·
 2005 02  25960·
 2005 03  736122·
 2005 04  876099.
 2005 05  876101.
 2005 06  636276.
 2005 07  506218.
 2005 08  576252.
 2005 09  176323.
 2005 10  656379.
 2005 11  396416.
 2005 12  66196·
 2006 01 136261.
 2006 02 666445·
 2006 03 306482·
 2006 04 546505.
 2006 05 266600·
 2006 06 476613.
 2006 07 346395·
 2006 08 456545·
 2006 09 316564.
 2006 10 156509.
 2006 11 906394·
 2006 12 486331·
 2007 01  296408.
 2007 02  26466·
 2007 03  616445.
 2007 04  576318.
 2007 05  446317·
 2007 06  636373·
 2007 07  346645·
 2007 08  916720·
 2007 09  286766.
 2007 10  816500·
 2007 11  226298·
 2007 12  946166.
 2008 01 566363.
 2008 02 626488.
 2008 03 646512·
 2008 04 366673·
 2008 05 276512.
 2008 06 386654·
 2008 07 226663·
 2008 08 116756.
 2008 09 686786·
 2008 10 666739·
 2008 11 846909.
 2008 12 376887.
 2009 01  296741·
 2009 02  276959·
 2009 03  626887.
 2009 04  596911.
 2009 05  856747.
 2009 06  286694.
 2009 07  966795·
 2009 08  476627·
 2009 09  376836·
 2009 10  06789·
 2009 11  476838·
 2009 12  936893·
 2010 01 106843·
 2010 02 16964·
 2010 03 46861.
 2010 04 186858.
 2010 05 546842·
 2010 06 116748·
 2010 07 796645·
 2010 08 666580·
 2010 09 456633.
 2010 10 386875·
 2010 11 116964·
 2010 12 56993.
 2011 01  836887·
 2011 02  136751·
 2011 03  626833·
 2011 04  306982.
 2011 05  946869.
 2011 06  926866.
 2011 07  206909·
 2011 08  596831·
 2011 09  286917·
 2011 10  586917.
 2011 11  997039·
 2011 12  386910.
 2012 01 607027·
 2012 02 177175·
 2012 03 357266.
 2012 04 357102·
 2012 05 917153.
 2012 06 16857.
 2012 07 926917.
 2012 08 447046·
 2012 09 467126·
 2012 10 667279·
 2012 11 577208.
 2012 12 857104.
 2013 01  767016.
 2013 02  947041.
 2013 03  457159.
 2013 04  27222·
 2013 05  557187.
 2013 06  917108·
 2013 07  927155.
 2013 08  637066.
 2013 09  857035.
 2013 10  897324.
 2013 11  617192.
 2013 12  637200·
 2014 01 917199.
 2014 02 467084·
 2014 03 407128·
 2014 04 217086·
 2014 05 226886·
 2014 06 426766·
 2014 07 436553.
 2014 08 816709.
 2014 09 556832·
 2014 10 847002·
 2014 11 77169·
 2014 12 137078·
 2015 01  907013.
 2015 02  46982·
 2015 03  957048·
 2015 04  106920·
 2015 05  537229·
 2015 06  587068.
 2015 07  947030·
 2015 08  927062·
 2015 09  936934·
 2015 10  286916·
 2015 11  187014.
 2015 12  26996·
 2016 01 867311.
 2016 02 217176.
 2016 03 57300·
 2016 04 107527·
 2016 05 327429·
 2016 06 687503·
 2016 07 187593·
 2016 08 117486.
 2016 09 587233·
 2016 10 267281.
 2016 11 447296·
 2016 12 227245.
 2017 01  127097.
 2017 02  777096·
 2017 03  967313·
 2017 04  897371·
 2017 05  717335·
 2017 06  277303·


 2017 07  127168·
 2017 08  807002·
 2017 09  366978.
 2017 10  87231.
 2017 11  557239·
 2017 12  906934.
 2018 01 307179·
 2018 02 777452.
 2018 03 147415.
 2018 04 387533·
 2018 05 67402.
 2018 06 147059.
 2018 07 07043·
 2018 08 676960·
 2018 09 377147.
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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: Service Occupations, Except Protective Occupations in Education and Health Services 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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