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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 845521.
 2000 02 145630·
 2000 03 615762·
 2000 04 675794.
 2000 05 945511·
 2000 06 115568.
 2000 07 845372·
 2000 08 135226·
 2000 09 775293.
 2000 10 125495.
 2000 11 145724·
 2000 12 655636.
 2001 01  835645·
 2001 02  05575·
 2001 03  645661.
 2001 04  665687.
 2001 05  875715·
 2001 06  815859.
 2001 07  725741·
 2001 08  845492.
 2001 09  895476.
 2001 10  865515.
 2001 11  15634·
 2001 12  165771·
 2002 01 165585·
 2002 02 735734.
 2002 03 395930·
 2002 04 785943·
 2002 05 185913.
 2002 06 235822.
 2002 07 985639·
 2002 08 175597·
 2002 09 695846·
 2002 10 426035·
 2002 11 176117·
 2002 12 06184·
 2003 01  716118·
 2003 02  625872·
 2003 03  586015·
 2003 04  226006·
 2003 05  485956·
 2003 06  415940·
 2003 07  96046·
 2003 08  25880·
 2003 09  525856.
 2003 10  585841.
 2003 11  845716.
 2003 12  845815·
 2004 01 575748·
 2004 02 225672·
 2004 03 195871·
 2004 04 375998·
 2004 05 646000.
 2004 06 646067.
 2004 07 796012·
 2004 08 565901·
 2004 09 985999·
 2004 10 406288·
 2004 11 506184.
 2004 12 606166·
 2005 01  106068·
 2005 02  325960·
 2005 03  476122.
 2005 04  926099·
 2005 05  756101.
 2005 06  476276·
 2005 07  56218.
 2005 08  226252.
 2005 09  936323.
 2005 10  166379·
 2005 11  906416.
 2005 12  456196.
 2006 01 916261.
 2006 02 966445.
 2006 03 876482.
 2006 04 786505.
 2006 05 176600·
 2006 06 696613·
 2006 07 116395·
 2006 08 676545.
 2006 09 486564.
 2006 10 416509·
 2006 11 06394·
 2006 12 806331.
 2007 01  846408.
 2007 02  436466·
 2007 03  156445·
 2007 04  116318·
 2007 05  516317·
 2007 06  346373.
 2007 07  456645.
 2007 08  816720·
 2007 09  986766.
 2007 10  936500.
 2007 11  36298·
 2007 12  326166.
 2008 01 16363.
 2008 02 296488.
 2008 03 276512.
 2008 04 346673·
 2008 05 616512.
 2008 06 716654·
 2008 07 806663.
 2008 08 826756·
 2008 09 36786·
 2008 10 786739.
 2008 11 496909·
 2008 12 946887·
 2009 01  786741·
 2009 02  316959·
 2009 03  476887·
 2009 04  146911.
 2009 05  606747.
 2009 06  366694.
 2009 07  136795.
 2009 08  116627.
 2009 09  506836·
 2009 10  256789.
 2009 11  96838·
 2009 12  816893.
 2010 01 746843·
 2010 02 556964.
 2010 03 236861.
 2010 04 416858·
 2010 05 826842.
 2010 06 76748·
 2010 07 686645.
 2010 08 376580·
 2010 09 496633·
 2010 10 876875.
 2010 11 826964.
 2010 12 366993.
 2011 01  756887·
 2011 02  296751·
 2011 03  286833·
 2011 04  346982·
 2011 05  876869·
 2011 06  886866.
 2011 07  946909·
 2011 08  496831.
 2011 09  346917.
 2011 10  456917.
 2011 11  917039·
 2011 12  256910.
 2012 01 927027·
 2012 02 87175.
 2012 03 607266.
 2012 04 337102.
 2012 05 627153.
 2012 06 86857.
 2012 07 626917.
 2012 08 657046.
 2012 09 687126·
 2012 10 27279·
 2012 11 857208·
 2012 12 417104·
 2013 01  617016·
 2013 02  727041.
 2013 03  427159·
 2013 04  57222·
 2013 05  167187.
 2013 06  237108.
 2013 07  717155.
 2013 08  277066·
 2013 09  357035·
 2013 10  887324.
 2013 11  357192·
 2013 12  07200·
 2014 01 417199·
 2014 02 247084.
 2014 03 217128.
 2014 04 437086.
 2014 05 866886.
 2014 06 116766·
 2014 07 446553.
 2014 08 16709.
 2014 09 466832.
 2014 10 577002.
 2014 11 407169·
 2014 12 437078·
 2015 01  197013·
 2015 02  946982·
 2015 03  727048·
 2015 04  636920.
 2015 05  327229·
 2015 06  777068·
 2015 07  297030.
 2015 08  807062.
 2015 09  366934.
 2015 10  896916.
 2015 11  237014.
 2015 12  396996·
 2016 01 57311·
 2016 02 367176.
 2016 03 927300.
 2016 04 77527.
 2016 05 407429.
 2016 06 507503·
 2016 07 997593.
 2016 08 807486.
 2016 09 667233·
 2016 10 877281.
 2016 11 327296·
 2016 12 777245.
 2017 01  347097.
 2017 02  297096·
 2017 03  47313.
 2017 04  427371·
 2017 05  207335·
 2017 06  847303.
 2017 07  537168·
 2017 08  447002·
 2017 09  226978.


 2017 10  817231.
 2017 11  417239.
 2017 12  766934.
 2018 01 687179.
 2018 02 797452.
 2018 03 577415.
 2018 04 597533.
 2018 05 77402.
 2018 06 587059.
 2018 07 137043·
 2018 08 366960.
 2018 09 147147.
 2018 10 267117.
 2018 11 477240.
 2018 12 777318.
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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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