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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 135521.
 2000 02 755630·
 2000 03 255762·
 2000 04 285794·
 2000 05 745511.
 2000 06 535568.
 2000 07 605372·
 2000 08 195226·
 2000 09 325293.
 2000 10 615495.
 2000 11 285724.
 2000 12 395636·
 2001 01  385645.
 2001 02  815575.
 2001 03  415661·
 2001 04  345687·
 2001 05  675715·
 2001 06  185859·
 2001 07  375741·
 2001 08  725492·
 2001 09  205476.
 2001 10  55515.
 2001 11  795634.
 2001 12  485771.
 2002 01 235585·
 2002 02 995734·
 2002 03 555930.
 2002 04 795943·
 2002 05 245913·
 2002 06 805822.
 2002 07 775639·
 2002 08 125597.
 2002 09 15846·
 2002 10 566035.
 2002 11 836117·
 2002 12 146184.
 2003 01  536118.
 2003 02  585872·
 2003 03  376015.
 2003 04  806006·
 2003 05  65956.
 2003 06  435940·
 2003 07  276046·
 2003 08  295880·
 2003 09  105856.
 2003 10  925841·
 2003 11  645716·
 2003 12  65815·
 2004 01 415748.
 2004 02 135672·
 2004 03 885871·
 2004 04 785998·
 2004 05 986000·
 2004 06 366067.
 2004 07 606012·
 2004 08 415901.
 2004 09 85999.
 2004 10 196288·
 2004 11 696184.
 2004 12 146166.
 2005 01  206068·
 2005 02  435960.
 2005 03  286122.
 2005 04  406099.
 2005 05  106101·
 2005 06  146276·
 2005 07  756218.
 2005 08  906252·
 2005 09  796323.
 2005 10  656379.
 2005 11  726416·
 2005 12  566196.
 2006 01 516261·
 2006 02 516445.
 2006 03 86482·
 2006 04 596505·
 2006 05 786600·
 2006 06 566613·
 2006 07 956395.
 2006 08 416545.
 2006 09 356564.
 2006 10 846509·
 2006 11 716394.
 2006 12 746331·
 2007 01  216408.
 2007 02  696466.
 2007 03  996445.
 2007 04  496318·
 2007 05  636317·
 2007 06  666373.
 2007 07  676645.
 2007 08  886720.
 2007 09  116766·
 2007 10  576500.
 2007 11  886298.
 2007 12  336166·
 2008 01 406363.
 2008 02 496488.
 2008 03 06512.
 2008 04 556673.
 2008 05 506512·
 2008 06 736654.
 2008 07 666663.
 2008 08 476756.
 2008 09 676786·
 2008 10 876739.
 2008 11 726909·
 2008 12 276887·
 2009 01  426741.
 2009 02  716959·
 2009 03  346887.
 2009 04  426911.
 2009 05  506747.
 2009 06  336694.
 2009 07  886795·
 2009 08  596627·
 2009 09  906836·
 2009 10  36789·
 2009 11  966838·
 2009 12  726893.
 2010 01 896843.
 2010 02 406964·
 2010 03 486861·
 2010 04 26858·
 2010 05 986842.
 2010 06 236748·
 2010 07 566645.
 2010 08 916580.
 2010 09 906633·
 2010 10 616875.
 2010 11 586964·
 2010 12 106993.
 2011 01  676887.
 2011 02  846751·
 2011 03  176833·
 2011 04  516982.
 2011 05  546869.
 2011 06  496866·
 2011 07  206909.
 2011 08  366831.
 2011 09  26917.
 2011 10  396917·
 2011 11  817039.
 2011 12  66910·
 2012 01 857027.
 2012 02 587175.
 2012 03 377266.
 2012 04 337102·
 2012 05 57153·
 2012 06 406857·
 2012 07 526917·
 2012 08 97046.
 2012 09 877126.
 2012 10 417279.
 2012 11 137208·
 2012 12 557104·
 2013 01  807016.
 2013 02  427041·
 2013 03  337159.
 2013 04  137222·
 2013 05  617187.
 2013 06  507108·
 2013 07  507155.
 2013 08  547066·
 2013 09  307035·
 2013 10  977324·
 2013 11  277192.
 2013 12  717200.
 2014 01 127199·
 2014 02 397084·
 2014 03 517128·
 2014 04 837086.
 2014 05 576886·
 2014 06 586766·
 2014 07 366553.
 2014 08 366709·
 2014 09 426832.
 2014 10 617002·
 2014 11 207169.
 2014 12 977078·
 2015 01  667013·
 2015 02  796982·
 2015 03  667048·
 2015 04  616920.
 2015 05  547229.
 2015 06  697068·
 2015 07  607030·
 2015 08  477062.
 2015 09  586934·
 2015 10  126916·
 2015 11  177014.
 2015 12  996996·
 2016 01 537311·
 2016 02 167176·
 2016 03 747300.
 2016 04 877527·
 2016 05 387429.
 2016 06 117503·
 2016 07 947593.
 2016 08 57486·
 2016 09 407233·
 2016 10 557281·
 2016 11 657296·
 2016 12 717245.
 2017 01  87097.


 2017 02  297096.
 2017 03  07313·
 2017 04  297371.
 2017 05  197335·
 2017 06  407303·
 2017 07  377168.
 2017 08  507002·
 2017 09  726978·
 2017 10  197231.
 2017 11  387239·
 2017 12  276934·
 2018 01 937179·
 2018 02 237452·
 2018 03 917415·
 2018 04 797533.
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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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