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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Wholesale Trade: NSA
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 2000 01 91184.
 2000 02 74165·
 2000 03 89159.
 2000 04 64137·
 2000 05 51134·
 2000 06 5117·
 2000 07 80100·
 2000 08 63140·
 2000 09 21132·
 2000 10 7896.
 2000 11 16135.
 2000 12 5142.
 2001 01  52162.
 2001 02  75170·
 2001 03  10200.
 2001 04  34129·
 2001 05  18143·
 2001 06  2151.
 2001 07  99125.
 2001 08  18163·
 2001 09  21187.
 2001 10  92151·
 2001 11  46192·
 2001 12  52229.
 2002 01 85195.
 2002 02 0196.
 2002 03 40195·
 2002 04 56216.
 2002 05 61190·
 2002 06 9189.
 2002 07 93199·
 2002 08 72217.
 2002 09 25211.
 2002 10 25209.
 2002 11 42225·
 2002 12 70212·
 2003 01  76251.
 2003 02  80206.
 2003 03  52218.
 2003 04  45218.
 2003 05  41220·
 2003 06  30272·
 2003 07  10228·
 2003 08  16217.
 2003 09  69221·
 2003 10  57212.
 2003 11  28237.
 2003 12  26215·
 2004 01 37192·
 2004 02 67248·
 2004 03 44282.
 2004 04 45216·
 2004 05 44238·
 2004 06 93168.
 2004 07 23161.
 2004 08 67183·
 2004 09 15237.
 2004 10 91206·
 2004 11 50182·
 2004 12 11213·
 2005 01  2183.
 2005 02  42230·
 2005 03  40194.
 2005 04  21188.
 2005 05  79170·
 2005 06  53192.
 2005 07  30195·
 2005 08  66182.
 2005 09  47152.
 2005 10  57178.
 2005 11  82141·
 2005 12  41184·
 2006 01 32169.
 2006 02 8155·
 2006 03 86135.
 2006 04 65137.
 2006 05 83140·
 2006 06 90142·
 2006 07 54150.
 2006 08 82138·
 2006 09 76140.
 2006 10 9119·
 2006 11 23133.
 2006 12 60181·
 2007 01  12179·
 2007 02  96134.
 2007 03  57153·
 2007 04  95116.
 2007 05  16119.
 2007 06  8123.
 2007 07  43136·
 2007 08  5152·
 2007 09  38167.
 2007 10  27137·
 2007 11  95140.
 2007 12  34135.
 2008 01 54128.
 2008 02 59118·
 2008 03 50113·
 2008 04 52137.
 2008 05 64165·
 2008 06 36160·
 2008 07 71183.
 2008 08 52196·
 2008 09 93215.
 2008 10 14237·
 2008 11 46248.
 2008 12 54253.
 2009 01  92281·
 2009 02  76300.
 2009 03  88246·
 2009 04  2243.
 2009 05  37266.
 2009 06  28271.
 2009 07  35317·
 2009 08  66277.
 2009 09  27290·
 2009 10  1278.
 2009 11  50291.
 2009 12  38307.
 2010 01 88339.
 2010 02 52294·
 2010 03 20303.
 2010 04 39299·
 2010 05 70289.
 2010 06 63269.
 2010 07 58278.
 2010 08 12272.
 2010 09 49265·
 2010 10 41277·
 2010 11 3304·
 2010 12 27256.
 2011 01  26267·
 2011 02  17333.
 2011 03  18333·
 2011 04  77272.
 2011 05  25233.
 2011 06  47259·
 2011 07  89251·
 2011 08  83281.
 2011 09  97234.
 2011 10  14251.
 2011 11  31254·
 2011 12  88242·
 2012 01 17273.
 2012 02 23268.
 2012 03 80249.
 2012 04 60223.
 2012 05 87212.
 2012 06 8228.
 2012 07 0212.
 2012 08 95222.
 2012 09 30214·
 2012 10 23209·
 2012 11 79202.
 2012 12 12183·
 2013 01  98212·
 2013 02  52227.
 2013 03  30203.
 2013 04  54231·
 2013 05  66244.
 2013 06  0207·
 2013 07  90194·
 2013 08  91180.
 2013 09  34219·
 2013 10  99150.
 2013 11  23177.
 2013 12  17143·
 2014 01 28162.
 2014 02 7175·
 2014 03 15169.
 2014 04 51183.
 2014 05 98170.
 2014 06 3177.
 2014 07 81164·
 2014 08 37165·
 2014 09 19159·
 2014 10 96148.
 2014 11 58101.
 2014 12 44159·
 2015 01  92152·
 2015 02  17150·
 2015 03  9160.
 2015 04  67135·
 2015 05  43123.
 2015 06  22139·
 2015 07  22142.
 2015 08  25129·
 2015 09  21156·
 2015 10  93113·
 2015 11  10110.
 2015 12  61127.
 2016 01 3171.
 2016 02 36121·
 2016 03 10145.
 2016 04 45141.
 2016 05 87110.
 2016 06 84117·
 2016 07 86140.
 2016 08 71126·
 2016 09 1114.
 2016 10 93124·
 2016 11 25107.
 2016 12 58135.
 2017 01  94155·
 2017 02  45146.
 2017 03  40113.
 2017 04  5195·


 2017 05  41113·
 2017 06  46112·
 2017 07  70123.
 2017 08  1893·
 2017 09  44111.
 2017 10  2799.
 2017 11  77101.
 2017 12  54127·
 2018 01 27136·
 2018 02 47137·
 2018 03 48132.
 2018 04 77112.
 2018 05 40137·
 2018 06 85102·
 2018 07 9897·
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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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