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 Series Title: Employment Level: Service Occupations, Except Protective Occupations in Manufacturing Industry: NSA
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 2000 01 84270.
 2000 02 39241.
 2000 03 65245·
 2000 04 20263.
 2000 05 88309.
 2000 06 53310.
 2000 07 4317·
 2000 08 56338.
 2000 09 8324·
 2000 10 16296.
 2000 11 93305.
 2000 12 41266.
 2001 01  95301·
 2001 02  9275·
 2001 03  47235.
 2001 04  18287·
 2001 05  25285·
 2001 06  38280.
 2001 07  2261·
 2001 08  58213·
 2001 09  97231·
 2001 10  36245·
 2001 11  22263·
 2001 12  53237.
 2002 01 36230·
 2002 02 59248.
 2002 03 94282.
 2002 04 24298.
 2002 05 94223.
 2002 06 89222.
 2002 07 32230·
 2002 08 14218·
 2002 09 46253·
 2002 10 32233.
 2002 11 73217.
 2002 12 93204.
 2003 01  92213·
 2003 02  20225.
 2003 03  80221·
 2003 04  54199·
 2003 05  57206·
 2003 06  9208·
 2003 07  41211·
 2003 08  17212.
 2003 09  92194.
 2003 10  82176·
 2003 11  69208·
 2003 12  26225·
 2004 01 73176.
 2004 02 45171·
 2004 03 1185.
 2004 04 50164.
 2004 05 99200·
 2004 06 29208.
 2004 07 2236.
 2004 08 84246.
 2004 09 96194.
 2004 10 91193·
 2004 11 58187·
 2004 12 45191·
 2005 01  14175·
 2005 02  13190·
 2005 03  83173.
 2005 04  80205·
 2005 05  29206·
 2005 06  2185.
 2005 07  14211·
 2005 08  55218·
 2005 09  42245.
 2005 10  88267.
 2005 11  14229·
 2005 12  67218·
 2006 01 77198.
 2006 02 29193.
 2006 03 71245·
 2006 04 33200.
 2006 05 85210.
 2006 06 7211·
 2006 07 99215·
 2006 08 99238.
 2006 09 41242.
 2006 10 28234.
 2006 11 34227·
 2006 12 33254·
 2007 01  46202·
 2007 02  23184.
 2007 03  40159·
 2007 04  29174·
 2007 05  25181·
 2007 06  50160.
 2007 07  5185·
 2007 08  6159.
 2007 09  29167·
 2007 10  89189·
 2007 11  42194·
 2007 12  9248·
 2008 01 33222·
 2008 02 48178.
 2008 03 88186·
 2008 04 7205.
 2008 05 37210.
 2008 06 59195.
 2008 07 6182·
 2008 08 94197.
 2008 09 67218·
 2008 10 77218.
 2008 11 85200·
 2008 12 89184·
 2009 01  73214.
 2009 02  84216.
 2009 03  37240·
 2009 04  36258.
 2009 05  30274.
 2009 06  88250·
 2009 07  0214·
 2009 08  4235·
 2009 09  39207·
 2009 10  19188.
 2009 11  37176·
 2009 12  88170·
 2010 01 26180·
 2010 02 35167·
 2010 03 36167.
 2010 04 7173.
 2010 05 40177·
 2010 06 17174.
 2010 07 9167.
 2010 08 4151.
 2010 09 57205·
 2010 10 72218.
 2010 11 95153·
 2010 12 49172·
 2011 01  78158·
 2011 02  31162·
 2011 03  57186.
 2011 04  36192·
 2011 05  28183.
 2011 06  51200·
 2011 07  82209.
 2011 08  84214.
 2011 09  57202·
 2011 10  13208·
 2011 11  83178.
 2011 12  37201.
 2012 01 40191·
 2012 02 25167·
 2012 03 99181.
 2012 04 65184.
 2012 05 78206·
 2012 06 18243.
 2012 07 92219.
 2012 08 62214·
 2012 09 97220·
 2012 10 48211.
 2012 11 49204.
 2012 12 46193.
 2013 01  47216.
 2013 02  97199.
 2013 03  85191.
 2013 04  62192.
 2013 05  3189·
 2013 06  73207·
 2013 07  36209.
 2013 08  80228.
 2013 09  65186.
 2013 10  5198.
 2013 11  66218·
 2013 12  92209.
 2014 01 59212·
 2014 02 52196·
 2014 03 62186.
 2014 04 18172·
 2014 05 36234·
 2014 06 94237.
 2014 07 38219.
 2014 08 3219·
 2014 09 70219·
 2014 10 39256.
 2014 11 31229.
 2014 12 16219·
 2015 01  63203.
 2015 02  18200.
 2015 03  4190.
 2015 04  50177.
 2015 05  39144·
 2015 06  88196·
 2015 07  46215·
 2015 08  25192.
 2015 09  49201.
 2015 10  29208·
 2015 11  68194·
 2015 12  86202.
 2016 01 68227.
 2016 02 50215.
 2016 03 10229·
 2016 04 0239.
 2016 05 98213.
 2016 06 81237·
 2016 07 33270.
 2016 08 62250.
 2016 09 62230·
 2016 10 80222·
 2016 11 26256.
 2016 12 92212.
 2017 01  11219.
 2017 02  27215.
 2017 03  1206.
 2017 04  34200.
 2017 05  22191.


 2017 06  30225·
 2017 07  97243·
 2017 08  56246·
 2017 09  93253·
 2017 10  20201.
 2017 11  76214.
 2017 12  53173·
 2018 01 52191·
 2018 02 54223·
 2018 03 26264·
 2018 04 44243.
 2018 05 47264.
 2018 06 13287·
 2018 07 60227.
 2018 08 73227.
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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

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