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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 665521.
 2000 02 355630.
 2000 03 485762.
 2000 04 35794·
 2000 05 195511.
 2000 06 205568·
 2000 07 305372.
 2000 08 35226.
 2000 09 765293.
 2000 10 415495·
 2000 11 505724.
 2000 12 405636.
 2001 01  875645.
 2001 02  805575·
 2001 03  215661·
 2001 04  575687·
 2001 05  285715·
 2001 06  425859.
 2001 07  815741·
 2001 08  245492.
 2001 09  995476.
 2001 10  615515·
 2001 11  945634·
 2001 12  345771.
 2002 01 255585.
 2002 02 935734·
 2002 03 475930.
 2002 04 75943.
 2002 05 575913.
 2002 06 185822·
 2002 07 525639.
 2002 08 875597.
 2002 09 705846.
 2002 10 456035·
 2002 11 486117.
 2002 12 436184.
 2003 01  656118·
 2003 02  35872.
 2003 03  986015·
 2003 04  696006·
 2003 05  675956.
 2003 06  515940·
 2003 07  896046·
 2003 08  845880·
 2003 09  265856·
 2003 10  705841.
 2003 11  355716.
 2003 12  335815·
 2004 01 185748·
 2004 02 665672.
 2004 03 735871.
 2004 04 845998·
 2004 05 436000.
 2004 06 716067.
 2004 07 666012.
 2004 08 325901·
 2004 09 275999·
 2004 10 426288.
 2004 11 36184·
 2004 12 966166.
 2005 01  196068.
 2005 02  605960.
 2005 03  956122·
 2005 04  196099.
 2005 05  966101.
 2005 06  326276.
 2005 07  816218.
 2005 08  726252.
 2005 09  576323·
 2005 10  896379·
 2005 11  246416·
 2005 12  496196·
 2006 01 296261·
 2006 02 896445·
 2006 03 126482.
 2006 04 676505.
 2006 05 616600.
 2006 06 126613.
 2006 07 576395·
 2006 08 726545·
 2006 09 296564.
 2006 10 666509.
 2006 11 986394·
 2006 12 336331·
 2007 01  336408.
 2007 02  836466·
 2007 03  976445·
 2007 04  446318.
 2007 05  996317.
 2007 06  186373.
 2007 07  426645·
 2007 08  246720.
 2007 09  766766.
 2007 10  536500.
 2007 11  466298·
 2007 12  166166.
 2008 01 426363.
 2008 02 956488·
 2008 03 486512.
 2008 04 926673·
 2008 05 956512.
 2008 06 776654·
 2008 07 96663.
 2008 08 436756·
 2008 09 616786·
 2008 10 536739·
 2008 11 186909.
 2008 12 906887·
 2009 01  916741.
 2009 02  76959.
 2009 03  886887.
 2009 04  776911.
 2009 05  606747·
 2009 06  446694.
 2009 07  566795.
 2009 08  726627.
 2009 09  686836·
 2009 10  966789·
 2009 11  866838.
 2009 12  716893.
 2010 01 416843·
 2010 02 206964·
 2010 03 656861.
 2010 04 916858·
 2010 05 306842.
 2010 06 986748·
 2010 07 66645·
 2010 08 786580.
 2010 09 86633.
 2010 10 366875.
 2010 11 476964·
 2010 12 06993.
 2011 01  786887.
 2011 02  666751.
 2011 03  526833·
 2011 04  526982.
 2011 05  646869.
 2011 06  446866·
 2011 07  76909.
 2011 08  526831.
 2011 09  176917·
 2011 10  536917.
 2011 11  267039·
 2011 12  456910·
 2012 01 127027·
 2012 02 987175.
 2012 03 477266.
 2012 04 07102.
 2012 05 497153·
 2012 06 126857·
 2012 07 326917.
 2012 08 127046·
 2012 09 557126·
 2012 10 507279·
 2012 11 707208·
 2012 12 987104.
 2013 01  787016·
 2013 02  967041·
 2013 03  747159.
 2013 04  47222·
 2013 05  967187.
 2013 06  547108.
 2013 07  807155·
 2013 08  987066·
 2013 09  77035·
 2013 10  587324·
 2013 11  537192.
 2013 12  757200·
 2014 01 387199·
 2014 02 637084.
 2014 03 797128·
 2014 04 547086.
 2014 05 396886·
 2014 06 516766·
 2014 07 736553.
 2014 08 786709·
 2014 09 856832·
 2014 10 297002.
 2014 11 717169.
 2014 12 187078.
 2015 01  767013.
 2015 02  296982·
 2015 03  387048.
 2015 04  676920.
 2015 05  397229.
 2015 06  77068.
 2015 07  597030.
 2015 08  447062·
 2015 09  236934.
 2015 10  456916·
 2015 11  507014.
 2015 12  946996.
 2016 01 47311.
 2016 02 497176·
 2016 03 467300·
 2016 04 867527·
 2016 05 827429·
 2016 06 517503·
 2016 07 127593.
 2016 08 137486·
 2016 09 837233.
 2016 10 87281.
 2016 11 357296.
 2016 12 957245·
 2017 01  567097·
 2017 02  17096.
 2017 03  287313·
 2017 04  767371.


 2017 05  787335.
 2017 06  387303·
 2017 07  297168.
 2017 08  257002·
 2017 09  496978.
 2017 10  497231.
 2017 11  17239.
 2017 12  376934·
 2018 01 947179.
 2018 02 917452.
 2018 03 317415.
 2018 04 307533·
 2018 05 637402·
 2018 06 467059.
 2018 07 347043·
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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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