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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Wholesale Trade: NSA
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 2018 10 13116·
 2018 09 685.
 2018 08 88143.
 2018 07 2297·
 2018 06 99102.
 2018 05 10137.
 2018 04 48112.
 2018 03 38132.
 2018 02 82137·
 2018 01 43136.
 2017 12  41127·
 2017 11  83101.
 2017 10  1399.
 2017 09  87111.
 2017 08  7993·
 2017 07  3123·
 2017 06  67112.
 2017 05  50113·
 2017 04  095.
 2017 03  66113·
 2017 02  46146·
 2017 01  62155.
 2016 12 67135·
 2016 11 67107.
 2016 10 73124·
 2016 09 80114.
 2016 08 67126.
 2016 07 24140.
 2016 06 0117·
 2016 05 87110·
 2016 04 15141.
 2016 03 81145·
 2016 02 2121.
 2016 01 88171.
 2015 12  46127·
 2015 11  8110.
 2015 10  79113.
 2015 09  15156.
 2015 08  25129.
 2015 07  99142.
 2015 06  57139.
 2015 05  25123·
 2015 04  39135.
 2015 03  73160.
 2015 02  86150.
 2015 01  99152·
 2014 12 2159·
 2014 11 75101.
 2014 10 41148·
 2014 09 44159.
 2014 08 50165.
 2014 07 72164·
 2014 06 23177.
 2014 05 93170·
 2014 04 48183·
 2014 03 60169.
 2014 02 58175.
 2014 01 0162·
 2013 12  82143.
 2013 11  58177·
 2013 10  95150·
 2013 09  49219.
 2013 08  66180.
 2013 07  10194·
 2013 06  10207.
 2013 05  46244·
 2013 04  38231·
 2013 03  84203·
 2013 02  4227·
 2013 01  21212.
 2012 12 60183.
 2012 11 75202·
 2012 10 2209.
 2012 09 33214.
 2012 08 21222·
 2012 07 3212.
 2012 06 54228·
 2012 05 62212.
 2012 04 33223·
 2012 03 11249·
 2012 02 35268·
 2012 01 16273·
 2011 12  34242·
 2011 11  68254·
 2011 10  47251·
 2011 09  25234.
 2011 08  87281·
 2011 07  69251·
 2011 06  14259·
 2011 05  47233·
 2011 04  80272.
 2011 03  32333·
 2011 02  86333·
 2011 01  64267·
 2010 12 26256.
 2010 11 3304·
 2010 10 40277·
 2010 09 81265.
 2010 08 63272·
 2010 07 49278·
 2010 06 75269.
 2010 05 30289.
 2010 04 53299.
 2010 03 66303.
 2010 02 18294·
 2010 01 69339·
 2009 12  85307·
 2009 11  72291.
 2009 10  18278.
 2009 09  78290.
 2009 08  72277·
 2009 07  11317.
 2009 06  50271.
 2009 05  64266.
 2009 04  50243.
 2009 03  53246·
 2009 02  16300.
 2009 01  60281·
 2008 12 84253.
 2008 11 91248.
 2008 10 40237.
 2008 09 21215.
 2008 08 61196·
 2008 07 46183.
 2008 06 73160.
 2008 05 30165.
 2008 04 94137.
 2008 03 60113.
 2008 02 90118·
 2008 01 93128.
 2007 12  21135.
 2007 11  4140.
 2007 10  92137.
 2007 09  41167·
 2007 08  5152.
 2007 07  71136.
 2007 06  5123.
 2007 05  31119·
 2007 04  33116.
 2007 03  80153·
 2007 02  77134.
 2007 01  45179.
 2006 12 19181.
 2006 11 76133.
 2006 10 86119·
 2006 09 90140.
 2006 08 0138·
 2006 07 27150·
 2006 06 30142.
 2006 05 97140.
 2006 04 40137·
 2006 03 28135.
 2006 02 37155·
 2006 01 22169·
 2005 12  26184·
 2005 11  99141.
 2005 10  55178.
 2005 09  48152.
 2005 08  71182·
 2005 07  82195.
 2005 06  61192·
 2005 05  81170·
 2005 04  13188·
 2005 03  48194·
 2005 02  55230.
 2005 01  53183.
 2004 12 14213·
 2004 11 90182·
 2004 10 62206·
 2004 09 20237.
 2004 08 64183·
 2004 07 28161·
 2004 06 32168·
 2004 05 64238·
 2004 04 74216.
 2004 03 5282.
 2004 02 42248·
 2004 01 92192·
 2003 12  83215·
 2003 11  91237·
 2003 10  91212.
 2003 09  35221·
 2003 08  54217.
 2003 07  80228·
 2003 06  5272·
 2003 05  50220·
 2003 04  73218·
 2003 03  91218·
 2003 02  34206·
 2003 01  19251.
 2002 12 55212·
 2002 11 69225.
 2002 10 53209.
 2002 09 47211·
 2002 08 37217.
 2002 07 81199·
 2002 06 63189·
 2002 05 68190·
 2002 04 82216·
 2002 03 24195.
 2002 02 90196.
 2002 01 37195.
 2001 12  78229·
 2001 11  15192·
 2001 10  83151·
 2001 09  36187·
 2001 08  38163·
 2001 07  98125.
 2001 06  19151.
 2001 05  72143·
 2001 04  99129·
 2001 03  44200·


 2001 02  97170.
 2001 01  76162.
 2000 12 25142.
 2000 11 46135.
 2000 10 4396·
 2000 09 5132.
 2000 08 4140·
 2000 07 23100·
 2000 06 7117.
 2000 05 41134·
 2000 04 48137·
 2000 03 19159.
 2000 02 65165.
 2000 01 90184·
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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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