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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Wholesale Trade: NSA
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 2000 01 55184.
 2000 02 0165.
 2000 03 65159.
 2000 04 42137·
 2000 05 44134·
 2000 06 88117.
 2000 07 92100.
 2000 08 5140.
 2000 09 56132·
 2000 10 3196·
 2000 11 76135.
 2000 12 23142·
 2001 01  40162·
 2001 02  10170·
 2001 03  30200·
 2001 04  40129·
 2001 05  73143.
 2001 06  32151.
 2001 07  92125.
 2001 08  25163.
 2001 09  55187·
 2001 10  29151·
 2001 11  25192·
 2001 12  73229·
 2002 01 11195·
 2002 02 57196.
 2002 03 16195.
 2002 04 2216.
 2002 05 91190.
 2002 06 98189·
 2002 07 79199·
 2002 08 57217.
 2002 09 71211.
 2002 10 59209.
 2002 11 52225·
 2002 12 6212·
 2003 01  52251.
 2003 02  71206.
 2003 03  97218·
 2003 04  45218·
 2003 05  58220·
 2003 06  90272.
 2003 07  2228·
 2003 08  91217·
 2003 09  41221·
 2003 10  0212·
 2003 11  81237·
 2003 12  90215·
 2004 01 75192·
 2004 02 5248.
 2004 03 70282·
 2004 04 10216.
 2004 05 61238.
 2004 06 38168.
 2004 07 34161.
 2004 08 45183.
 2004 09 24237.
 2004 10 55206.
 2004 11 59182.
 2004 12 15213·
 2005 01  14183.
 2005 02  39230·
 2005 03  59194·
 2005 04  64188·
 2005 05  8170.
 2005 06  95192.
 2005 07  72195.
 2005 08  60182·
 2005 09  6152.
 2005 10  56178·
 2005 11  60141.
 2005 12  99184·
 2006 01 32169.
 2006 02 77155.
 2006 03 12135·
 2006 04 99137·
 2006 05 37140·
 2006 06 41142·
 2006 07 40150.
 2006 08 4138·
 2006 09 97140·
 2006 10 55119·
 2006 11 82133.
 2006 12 83181·
 2007 01  12179·
 2007 02  49134·
 2007 03  1153.
 2007 04  31116·
 2007 05  7119·
 2007 06  81123.
 2007 07  85136.
 2007 08  67152.
 2007 09  34167.
 2007 10  31137·
 2007 11  47140.
 2007 12  35135·
 2008 01 66128·
 2008 02 8118.
 2008 03 25113.
 2008 04 3137·
 2008 05 5165·
 2008 06 42160.
 2008 07 82183·
 2008 08 67196·
 2008 09 76215.
 2008 10 91237.
 2008 11 4248·
 2008 12 45253.
 2009 01  29281.
 2009 02  35300.
 2009 03  7246.
 2009 04  82243·
 2009 05  40266.
 2009 06  81271·
 2009 07  27317.
 2009 08  46277·
 2009 09  9290·
 2009 10  62278·
 2009 11  26291.
 2009 12  32307.
 2010 01 62339.
 2010 02 33294.
 2010 03 95303·
 2010 04 59299.
 2010 05 49289·
 2010 06 76269·
 2010 07 44278.
 2010 08 70272·
 2010 09 44265.
 2010 10 98277·
 2010 11 11304·
 2010 12 36256·
 2011 01  50267.
 2011 02  31333.
 2011 03  61333·
 2011 04  50272.
 2011 05  91233·
 2011 06  31259·
 2011 07  80251.
 2011 08  32281.
 2011 09  17234.
 2011 10  80251·
 2011 11  82254·
 2011 12  25242.
 2012 01 4273.
 2012 02 85268.
 2012 03 5249.
 2012 04 99223.
 2012 05 52212·
 2012 06 76228.
 2012 07 10212.
 2012 08 47222.
 2012 09 87214·
 2012 10 12209·
 2012 11 87202·
 2012 12 90183·
 2013 01  59212·
 2013 02  72227.
 2013 03  48203·
 2013 04  71231.
 2013 05  43244·
 2013 06  65207·
 2013 07  31194.
 2013 08  58180·
 2013 09  41219.
 2013 10  22150·
 2013 11  99177.
 2013 12  48143·
 2014 01 76162.
 2014 02 99175.
 2014 03 39169.
 2014 04 58183·
 2014 05 0170·
 2014 06 78177.
 2014 07 66164·
 2014 08 32165·
 2014 09 88159.
 2014 10 65148.
 2014 11 16101·
 2014 12 41159·
 2015 01  41152·
 2015 02  93150.
 2015 03  52160·
 2015 04  77135·
 2015 05  83123·
 2015 06  18139·
 2015 07  63142·
 2015 08  60129.
 2015 09  65156.
 2015 10  21113·
 2015 11  61110·
 2015 12  35127·
 2016 01 63171.
 2016 02 9121·
 2016 03 84145·
 2016 04 70141.
 2016 05 77110·
 2016 06 15117.
 2016 07 95140.
 2016 08 60126·
 2016 09 32114·
 2016 10 93124·
 2016 11 82107·
 2016 12 23135·
 2017 01  79155.
 2017 02  27146·
 2017 03  57113.
 2017 04  495·
 2017 05  93113.
 2017 06  23112·
 2017 07  60123·
 2017 08  7293.


 2017 09  75111·
 2017 10  1299.
 2017 11  52101·
 2017 12  21127·
 2018 01 50136.
 2018 02 51137.
 2018 03 22132.
 2018 04 70112·
 2018 05 67137·
 2018 06 21102.
 2018 07 8197·
 2018 08 64143.
 2018 09 485.
 2018 10 30116·
 2018 11 7084·
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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: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Wholesale Trade: 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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