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 Series Title: Employment Level: Service Occupations, Except Protective 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 66270.
 2000 02 56241.
 2000 03 16245·
 2000 04 10263·
 2000 05 28309.
 2000 06 61310.
 2000 07 3317.
 2000 08 77338·
 2000 09 88324.
 2000 10 96296·
 2000 11 23305.
 2000 12 75266·
 2001 01  95301.
 2001 02  42275·
 2001 03  87235·
 2001 04  46287.
 2001 05  26285.
 2001 06  6280·
 2001 07  35261.
 2001 08  61213.
 2001 09  81231·
 2001 10  20245·
 2001 11  28263.
 2001 12  12237·
 2002 01 85230·
 2002 02 39248·
 2002 03 55282·
 2002 04 21298.
 2002 05 88223.
 2002 06 47222·
 2002 07 29230.
 2002 08 30218·
 2002 09 67253·
 2002 10 50233·
 2002 11 87217·
 2002 12 9204·
 2003 01  20213·
 2003 02  78225·
 2003 03  92221·
 2003 04  51199·
 2003 05  75206·
 2003 06  90208·
 2003 07  33211·
 2003 08  77212.
 2003 09  80194.
 2003 10  66176·
 2003 11  22208.
 2003 12  30225·
 2004 01 12176.
 2004 02 13171.
 2004 03 97185·
 2004 04 79164·
 2004 05 71200.
 2004 06 63208.
 2004 07 21236.
 2004 08 19246.
 2004 09 82194.
 2004 10 72193.
 2004 11 82187·
 2004 12 68191.
 2005 01  96175·
 2005 02  22190·
 2005 03  93173.
 2005 04  71205.
 2005 05  88206.
 2005 06  20185.
 2005 07  91211.
 2005 08  97218.
 2005 09  58245.
 2005 10  98267.
 2005 11  40229·
 2005 12  40218·
 2006 01 32198·
 2006 02 11193·
 2006 03 27245.
 2006 04 19200.
 2006 05 61210.
 2006 06 42211.
 2006 07 66215.
 2006 08 78238·
 2006 09 19242.
 2006 10 97234·
 2006 11 93227.
 2006 12 87254.
 2007 01  7202.
 2007 02  8184·
 2007 03  73159.
 2007 04  39174.
 2007 05  50181.
 2007 06  32160.
 2007 07  93185.
 2007 08  55159·
 2007 09  0167·
 2007 10  49189·
 2007 11  65194.
 2007 12  77248·
 2008 01 30222·
 2008 02 68178·
 2008 03 29186.
 2008 04 75205.
 2008 05 42210.
 2008 06 19195·
 2008 07 46182·
 2008 08 43197.
 2008 09 61218·
 2008 10 59218·
 2008 11 4200.
 2008 12 0184.
 2009 01  37214.
 2009 02  70216·
 2009 03  17240.
 2009 04  91258·
 2009 05  46274.
 2009 06  58250.
 2009 07  22214·
 2009 08  84235·
 2009 09  89207.
 2009 10  55188.
 2009 11  83176·
 2009 12  75170·
 2010 01 89180.
 2010 02 18167·
 2010 03 86167.
 2010 04 81173.
 2010 05 99177·
 2010 06 28174.
 2010 07 46167·
 2010 08 47151·
 2010 09 93205.
 2010 10 92218.
 2010 11 99153.
 2010 12 42172·
 2011 01  71158·
 2011 02  42162.
 2011 03  10186·
 2011 04  60192·
 2011 05  60183·
 2011 06  34200·
 2011 07  64209.
 2011 08  21214.
 2011 09  9202.
 2011 10  50208.
 2011 11  77178·
 2011 12  68201·
 2012 01 94191.
 2012 02 96167·
 2012 03 85181·
 2012 04 71184.
 2012 05 16206.
 2012 06 4243·
 2012 07 51219.
 2012 08 24214.
 2012 09 99220·
 2012 10 31211·
 2012 11 63204.
 2012 12 46193·
 2013 01  94216.
 2013 02  59199·
 2013 03  35191.
 2013 04  81192·
 2013 05  76189·
 2013 06  94207.
 2013 07  3209.
 2013 08  98228.
 2013 09  47186.
 2013 10  67198.
 2013 11  32218·
 2013 12  92209·
 2014 01 30212·
 2014 02 36196·
 2014 03 8186.
 2014 04 81172·
 2014 05 77234.
 2014 06 81237.
 2014 07 45219.
 2014 08 10219.
 2014 09 63219·
 2014 10 11256·
 2014 11 80229.
 2014 12 48219.
 2015 01  89203·
 2015 02  55200.
 2015 03  77190·
 2015 04  88177·
 2015 05  79144.
 2015 06  72196·
 2015 07  23215·
 2015 08  51192·
 2015 09  84201.
 2015 10  42208.
 2015 11  32194.
 2015 12  80202·
 2016 01 80227·
 2016 02 72215.
 2016 03 40229·
 2016 04 44239·
 2016 05 67213.
 2016 06 94237·
 2016 07 12270·
 2016 08 38250·
 2016 09 71230.
 2016 10 65222.
 2016 11 35256.
 2016 12 81212.
 2017 01  41219.
 2017 02  65215.


 2017 03  21206·
 2017 04  16200.
 2017 05  53191.
 2017 06  3225.
 2017 07  9243.
 2017 08  13246·
 2017 09  7253.
 2017 10  8201.
 2017 11  62214.
 2017 12  67173.
 2018 01 30191·
 2018 02 39223·
 2018 03 67264.
 2018 04 95243·
 2018 05 71264·
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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 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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