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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Wholesale Trade: 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 27184·
 2000 02 47165·
 2000 03 23159.
 2000 04 58137.
 2000 05 79134·
 2000 06 14117.
 2000 07 94100.
 2000 08 81140·
 2000 09 16132.
 2000 10 9796·
 2000 11 85135·
 2000 12 21142·
 2001 01  88162·
 2001 02  80170·
 2001 03  7200·
 2001 04  23129.
 2001 05  71143·
 2001 06  68151·
 2001 07  1125.
 2001 08  55163·
 2001 09  65187.
 2001 10  93151.
 2001 11  28192.
 2001 12  12229.
 2002 01 96195·
 2002 02 12196.
 2002 03 76195.
 2002 04 13216.
 2002 05 14190.
 2002 06 7189·
 2002 07 58199.
 2002 08 3217.
 2002 09 95211·
 2002 10 83209.
 2002 11 12225·
 2002 12 49212·
 2003 01  38251·
 2003 02  73206.
 2003 03  1218.
 2003 04  47218·
 2003 05  70220·
 2003 06  34272·
 2003 07  12228·
 2003 08  16217·
 2003 09  40221·
 2003 10  46212.
 2003 11  60237·
 2003 12  99215·
 2004 01 24192·
 2004 02 17248.
 2004 03 81282.
 2004 04 66216·
 2004 05 23238·
 2004 06 79168·
 2004 07 38161.
 2004 08 11183.
 2004 09 61237.
 2004 10 87206.
 2004 11 20182·
 2004 12 53213·
 2005 01  89183·
 2005 02  24230·
 2005 03  39194·
 2005 04  36188.
 2005 05  83170·
 2005 06  96192·
 2005 07  33195·
 2005 08  30182.
 2005 09  43152.
 2005 10  35178·
 2005 11  65141·
 2005 12  28184.
 2006 01 95169·
 2006 02 97155.
 2006 03 23135.
 2006 04 50137·
 2006 05 88140·
 2006 06 64142.
 2006 07 20150·
 2006 08 39138.
 2006 09 98140·
 2006 10 43119·
 2006 11 94133·
 2006 12 66181·
 2007 01  26179·
 2007 02  66134.
 2007 03  7153·
 2007 04  24116·
 2007 05  96119.
 2007 06  89123.
 2007 07  48136·
 2007 08  31152·
 2007 09  60167·
 2007 10  93137·
 2007 11  29140.
 2007 12  34135.
 2008 01 93128·
 2008 02 85118.
 2008 03 88113.
 2008 04 99137·
 2008 05 94165·
 2008 06 98160.
 2008 07 88183.
 2008 08 23196.
 2008 09 90215·
 2008 10 87237.
 2008 11 18248.
 2008 12 23253·
 2009 01  31281.
 2009 02  34300·
 2009 03  89246·
 2009 04  44243·
 2009 05  93266.
 2009 06  47271.
 2009 07  40317·
 2009 08  55277·
 2009 09  74290.
 2009 10  55278.
 2009 11  34291.
 2009 12  51307.
 2010 01 2339·
 2010 02 17294.
 2010 03 58303.
 2010 04 50299.
 2010 05 27289.
 2010 06 14269.
 2010 07 26278.
 2010 08 96272·
 2010 09 23265·
 2010 10 52277·
 2010 11 76304·
 2010 12 59256·
 2011 01  91267·
 2011 02  63333.
 2011 03  69333·
 2011 04  32272.
 2011 05  57233.
 2011 06  4259.
 2011 07  95251.
 2011 08  36281.
 2011 09  71234·
 2011 10  56251.
 2011 11  66254.
 2011 12  14242·
 2012 01 8273.
 2012 02 27268·
 2012 03 20249.
 2012 04 35223.
 2012 05 69212·
 2012 06 47228·
 2012 07 19212·
 2012 08 93222.
 2012 09 79214.
 2012 10 73209.
 2012 11 52202·
 2012 12 7183.
 2013 01  89212·
 2013 02  87227.
 2013 03  32203·
 2013 04  23231·
 2013 05  73244·
 2013 06  96207·
 2013 07  97194·
 2013 08  8180.
 2013 09  33219·
 2013 10  30150.
 2013 11  9177·
 2013 12  56143.
 2014 01 94162.
 2014 02 48175·
 2014 03 56169·
 2014 04 88183.
 2014 05 6170.
 2014 06 30177·
 2014 07 51164.
 2014 08 48165·
 2014 09 44159·
 2014 10 84148.
 2014 11 32101·
 2014 12 3159.
 2015 01  9152·
 2015 02  40150.
 2015 03  63160·
 2015 04  49135.
 2015 05  26123·
 2015 06  55139.
 2015 07  30142.
 2015 08  4129·
 2015 09  47156·
 2015 10  12113·
 2015 11  47110.
 2015 12  14127·
 2016 01 45171·
 2016 02 16121.
 2016 03 51145·
 2016 04 46141.
 2016 05 21110·
 2016 06 0117.
 2016 07 6140.
 2016 08 95126·
 2016 09 2114·
 2016 10 19124.
 2016 11 0107.
 2016 12 80135·
 2017 01  36155.
 2017 02  56146·
 2017 03  44113.
 2017 04  4695·
 2017 05  1113·
 2017 06  18112·


 2017 07  78123·
 2017 08  6193.
 2017 09  95111.
 2017 10  3599.
 2017 11  64101·
 2017 12  20127·
 2018 01 45136·
 2018 02 65137·
 2018 03 90132.
 2018 04 41112·
 2018 05 0137.
 2018 06 89102·
 2018 07 6997.
 2018 08 69143·
 2018 09 3785.
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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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