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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Wholesale Trade: NSA
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 2000 01 31184.
 2000 02 50165·
 2000 03 31159.
 2000 04 77137·
 2000 05 15134·
 2000 06 74117·
 2000 07 85100·
 2000 08 8140.
 2000 09 85132·
 2000 10 1696·
 2000 11 58135·
 2000 12 56142·
 2001 01  90162.
 2001 02  56170.
 2001 03  64200·
 2001 04  65129·
 2001 05  6143·
 2001 06  2151.
 2001 07  40125·
 2001 08  5163.
 2001 09  33187·
 2001 10  85151·
 2001 11  49192.
 2001 12  70229.
 2002 01 97195.
 2002 02 62196·
 2002 03 80195·
 2002 04 79216·
 2002 05 48190.
 2002 06 14189·
 2002 07 45199.
 2002 08 76217·
 2002 09 61211·
 2002 10 48209.
 2002 11 82225.
 2002 12 31212·
 2003 01  37251.
 2003 02  96206.
 2003 03  54218·
 2003 04  36218.
 2003 05  2220·
 2003 06  14272·
 2003 07  48228·
 2003 08  13217·
 2003 09  5221.
 2003 10  85212.
 2003 11  78237.
 2003 12  4215·
 2004 01 22192.
 2004 02 14248·
 2004 03 82282.
 2004 04 78216.
 2004 05 53238.
 2004 06 33168.
 2004 07 22161.
 2004 08 31183.
 2004 09 24237.
 2004 10 99206.
 2004 11 87182.
 2004 12 81213.
 2005 01  85183·
 2005 02  93230·
 2005 03  89194·
 2005 04  72188·
 2005 05  12170·
 2005 06  23192·
 2005 07  66195.
 2005 08  74182.
 2005 09  5152.
 2005 10  20178·
 2005 11  81141.
 2005 12  80184·
 2006 01 89169·
 2006 02 40155·
 2006 03 22135.
 2006 04 9137.
 2006 05 15140.
 2006 06 65142·
 2006 07 1150.
 2006 08 7138.
 2006 09 58140.
 2006 10 2119.
 2006 11 58133·
 2006 12 41181.
 2007 01  19179.
 2007 02  83134·
 2007 03  54153·
 2007 04  7116·
 2007 05  22119·
 2007 06  63123.
 2007 07  77136.
 2007 08  22152.
 2007 09  19167·
 2007 10  25137·
 2007 11  41140.
 2007 12  32135·
 2008 01 84128.
 2008 02 75118.
 2008 03 83113·
 2008 04 6137.
 2008 05 18165·
 2008 06 46160·
 2008 07 66183.
 2008 08 37196·
 2008 09 47215·
 2008 10 93237·
 2008 11 78248·
 2008 12 45253.
 2009 01  21281·
 2009 02  98300.
 2009 03  33246·
 2009 04  74243·
 2009 05  15266·
 2009 06  68271·
 2009 07  67317·
 2009 08  93277.
 2009 09  30290·
 2009 10  34278.
 2009 11  43291·
 2009 12  96307.
 2010 01 90339.
 2010 02 54294.
 2010 03 50303.
 2010 04 3299·
 2010 05 48289.
 2010 06 9269.
 2010 07 1278·
 2010 08 57272.
 2010 09 76265.
 2010 10 5277·
 2010 11 33304.
 2010 12 28256·
 2011 01  78267·
 2011 02  74333·
 2011 03  10333·
 2011 04  9272·
 2011 05  76233.
 2011 06  72259·
 2011 07  18251·
 2011 08  21281·
 2011 09  23234·
 2011 10  82251·
 2011 11  72254·
 2011 12  6242.
 2012 01 93273·
 2012 02 10268.
 2012 03 8249·
 2012 04 35223.
 2012 05 87212·
 2012 06 88228·
 2012 07 91212.
 2012 08 1222.
 2012 09 30214·
 2012 10 72209.
 2012 11 7202·
 2012 12 23183.
 2013 01  72212.
 2013 02  44227·
 2013 03  70203.
 2013 04  46231·
 2013 05  90244·
 2013 06  11207.
 2013 07  17194.
 2013 08  39180·
 2013 09  82219.
 2013 10  3150·
 2013 11  12177·
 2013 12  96143.
 2014 01 76162·
 2014 02 79175.
 2014 03 41169.
 2014 04 36183·
 2014 05 20170.
 2014 06 19177·
 2014 07 20164·
 2014 08 2165.
 2014 09 91159·
 2014 10 30148.
 2014 11 84101·
 2014 12 66159.
 2015 01  89152·
 2015 02  44150.
 2015 03  97160.
 2015 04  19135·
 2015 05  40123·
 2015 06  17139.
 2015 07  47142.
 2015 08  83129·
 2015 09  92156.
 2015 10  32113.
 2015 11  46110.
 2015 12  0127·
 2016 01 23171.
 2016 02 94121·
 2016 03 34145.
 2016 04 40141.
 2016 05 33110.
 2016 06 35117.
 2016 07 72140.
 2016 08 97126.
 2016 09 46114.
 2016 10 12124·
 2016 11 48107·
 2016 12 90135·
 2017 01  14155·
 2017 02  7146·
 2017 03  75113.
 2017 04  6395·
 2017 05  11113·
 2017 06  27112·
 2017 07  92123.
 2017 08  8693.
 2017 09  38111.
 2017 10  299.
 2017 11  61101·


 2017 12  53127.
 2018 01 20136.
 2018 02 89137.
 2018 03 70132.
 2018 04 82112·
 2018 05 9137·
 2018 06 71102.
 2018 07 3197·
 2018 08 18143·
 2018 09 7885.
 2018 10 54116.
 2018 11 8484·
 2018 12 3070.
 2019 01  2987.
 2019 02  6984.
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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