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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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 2019 01  1487.
 2018 12 2170·
 2018 11 184·
 2018 10 96116.
 2018 09 6985.
 2018 08 88143·
 2018 07 1997·
 2018 06 63102.
 2018 05 97137·
 2018 04 59112·
 2018 03 45132·
 2018 02 35137·
 2018 01 48136·
 2017 12  18127·
 2017 11  90101.
 2017 10  5699·
 2017 09  98111.
 2017 08  6993·
 2017 07  93123·
 2017 06  95112.
 2017 05  46113.
 2017 04  4495·
 2017 03  18113·
 2017 02  47146.
 2017 01  18155.
 2016 12 1135.
 2016 11 51107·
 2016 10 30124.
 2016 09 65114.
 2016 08 21126.
 2016 07 5140.
 2016 06 88117·
 2016 05 61110.
 2016 04 11141.
 2016 03 19145·
 2016 02 92121·
 2016 01 9171·
 2015 12  2127.
 2015 11  56110·
 2015 10  34113.
 2015 09  31156.
 2015 08  50129.
 2015 07  2142·
 2015 06  34139.
 2015 05  80123.
 2015 04  38135.
 2015 03  72160.
 2015 02  37150·
 2015 01  31152.
 2014 12 73159·
 2014 11 3101.
 2014 10 10148·
 2014 09 83159.
 2014 08 85165·
 2014 07 58164.
 2014 06 50177.
 2014 05 62170.
 2014 04 31183.
 2014 03 25169.
 2014 02 74175·
 2014 01 19162·
 2013 12  93143·
 2013 11  16177·
 2013 10  26150·
 2013 09  30219·
 2013 08  78180·
 2013 07  70194.
 2013 06  77207.
 2013 05  93244.
 2013 04  18231·
 2013 03  50203·
 2013 02  19227·
 2013 01  36212·
 2012 12 68183·
 2012 11 43202·
 2012 10 73209·
 2012 09 8214.
 2012 08 11222.
 2012 07 62212·
 2012 06 82228.
 2012 05 84212·
 2012 04 53223·
 2012 03 46249·
 2012 02 15268·
 2012 01 66273.
 2011 12  27242·
 2011 11  56254·
 2011 10  67251.
 2011 09  77234.
 2011 08  87281·
 2011 07  82251·
 2011 06  57259.
 2011 05  70233.
 2011 04  17272.
 2011 03  35333.
 2011 02  29333.
 2011 01  19267.
 2010 12 23256.
 2010 11 55304·
 2010 10 51277.
 2010 09 24265.
 2010 08 36272.
 2010 07 3278·
 2010 06 19269.
 2010 05 11289·
 2010 04 13299·
 2010 03 67303·
 2010 02 51294·
 2010 01 31339.
 2009 12  36307·
 2009 11  61291.
 2009 10  92278·
 2009 09  58290·
 2009 08  11277.
 2009 07  22317·
 2009 06  10271·
 2009 05  94266.
 2009 04  71243.
 2009 03  13246·
 2009 02  99300·
 2009 01  63281.
 2008 12 71253.
 2008 11 23248·
 2008 10 80237·
 2008 09 16215·
 2008 08 93196.
 2008 07 63183·
 2008 06 96160·
 2008 05 28165·
 2008 04 44137.
 2008 03 72113·
 2008 02 15118·
 2008 01 0128.
 2007 12  56135·
 2007 11  13140.
 2007 10  33137.
 2007 09  57167·
 2007 08  85152.
 2007 07  74136.
 2007 06  69123.
 2007 05  50119·
 2007 04  13116·
 2007 03  67153.
 2007 02  66134·
 2007 01  53179·
 2006 12 46181.
 2006 11 31133·
 2006 10 93119·
 2006 09 68140·
 2006 08 17138.
 2006 07 28150·
 2006 06 46142·
 2006 05 19140·
 2006 04 81137·
 2006 03 46135.
 2006 02 42155·
 2006 01 58169.
 2005 12  21184·
 2005 11  99141.
 2005 10  27178.
 2005 09  59152.
 2005 08  42182·
 2005 07  23195·
 2005 06  69192.
 2005 05  22170.
 2005 04  78188.
 2005 03  82194·
 2005 02  62230·
 2005 01  74183·
 2004 12 84213.
 2004 11 64182·
 2004 10 26206.
 2004 09 65237·
 2004 08 41183.
 2004 07 82161·
 2004 06 4168·
 2004 05 69238.
 2004 04 58216·
 2004 03 73282.
 2004 02 66248·
 2004 01 88192.
 2003 12  65215.
 2003 11  1237·
 2003 10  7212.
 2003 09  47221·
 2003 08  18217·
 2003 07  53228·
 2003 06  44272.
 2003 05  95220·
 2003 04  0218·
 2003 03  43218·
 2003 02  23206.
 2003 01  10251·
 2002 12 18212·
 2002 11 7225·
 2002 10 12209.
 2002 09 90211·
 2002 08 2217.
 2002 07 9199.
 2002 06 5189.
 2002 05 62190·
 2002 04 9216.
 2002 03 38195·
 2002 02 22196·
 2002 01 75195·
 2001 12  22229·
 2001 11  5192·
 2001 10  7151.
 2001 09  5187·
 2001 08  47163·
 2001 07  49125·
 2001 06  29151.
 2001 05  53143·
 2001 04  14129.
 2001 03  32200.


 2001 02  82170.
 2001 01  44162.
 2000 12 82142.
 2000 11 43135.
 2000 10 8596.
 2000 09 29132·
 2000 08 32140.
 2000 07 95100.
 2000 06 83117.
 2000 05 81134.
 2000 04 70137·
 2000 03 24159.
 2000 02 44165·
 2000 01 3184.
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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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