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 Series Title: Employment Level: Office and Administrative Support Occupations in Wholesale Trade Industry: 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 41781.
 2000 02 14828.
 2000 03 36834.
 2000 04 78820·
 2000 05 38796.
 2000 06 11769.
 2000 07 98781.
 2000 08 29790.
 2000 09 13784.
 2000 10 19810.
 2000 11 74729·
 2000 12 90734.
 2001 01  18712.
 2001 02  20713.
 2001 03  76758.
 2001 04  7762.
 2001 05  27689·
 2001 06  20726.
 2001 07  43735·
 2001 08  48708.
 2001 09  41736.
 2001 10  51751·
 2001 11  36729·
 2001 12  8771·
 2002 01 86755·
 2002 02 70781.
 2002 03 44755.
 2002 04 6710.
 2002 05 11744.
 2002 06 57730·
 2002 07 81746.
 2002 08 85748·
 2002 09 93795·
 2002 10 21723.
 2002 11 83738.
 2002 12 16734.
 2003 01  31738·
 2003 02  92731.
 2003 03  13689·
 2003 04  91722.
 2003 05  51680·
 2003 06  27776·
 2003 07  60785.
 2003 08  31828.
 2003 09  3810.
 2003 10  7778.
 2003 11  37870·
 2003 12  79804·
 2004 01 64877·
 2004 02 40850·
 2004 03 81805·
 2004 04 5764.
 2004 05 32783.
 2004 06 58833·
 2004 07 55878.
 2004 08 3854.
 2004 09 34805.
 2004 10 15818·
 2004 11 47789.
 2004 12 91777·
 2005 01  20734.
 2005 02  95730·
 2005 03  71719·
 2005 04  14710·
 2005 05  65755.
 2005 06  4840.
 2005 07  63926.
 2005 08  42882.
 2005 09  70865·
 2005 10  74802·
 2005 11  87801.
 2005 12  68842.
 2006 01 60826.
 2006 02 61828.
 2006 03 30755.
 2006 04 11696·
 2006 05 85738.
 2006 06 47841.
 2006 07 6853.
 2006 08 16869·
 2006 09 21842·
 2006 10 38829·
 2006 11 53811·
 2006 12 51800.
 2007 01  69816·
 2007 02  66805·
 2007 03  33742·
 2007 04  12826.
 2007 05  53811·
 2007 06  88814.
 2007 07  34818.
 2007 08  16808.
 2007 09  24808·
 2007 10  86763·
 2007 11  69753·
 2007 12  8773·
 2008 01 58714·
 2008 02 65767·
 2008 03 76780.
 2008 04 58702·
 2008 05 54673·
 2008 06 59686.
 2008 07 18704·
 2008 08 59736·
 2008 09 39707.
 2008 10 22685.
 2008 11 83630.
 2008 12 31586·
 2009 01  62590.
 2009 02  38642·
 2009 03  83618.
 2009 04  17571·
 2009 05  99639.
 2009 06  12632.
 2009 07  58659.
 2009 08  87684·
 2009 09  51651.
 2009 10  76572·
 2009 11  68594.
 2009 12  35547·
 2010 01 42636.
 2010 02 88619·
 2010 03 3714·
 2010 04 80681·
 2010 05 24717·
 2010 06 28667·
 2010 07 75610.
 2010 08 67605.
 2010 09 71597·
 2010 10 3628·
 2010 11 22624.
 2010 12 63567·
 2011 01  84651·
 2011 02  45656.
 2011 03  8693.
 2011 04  65695.
 2011 05  89723.
 2011 06  10740·
 2011 07  19680.
 2011 08  90675·
 2011 09  35602.
 2011 10  81627.
 2011 11  69649·
 2011 12  82685·
 2012 01 98704.
 2012 02 63658.
 2012 03 96664·
 2012 04 12622·
 2012 05 79669·
 2012 06 89623.
 2012 07 62590·
 2012 08 73619.
 2012 09 3598·
 2012 10 15597.
 2012 11 56637.
 2012 12 84609·
 2013 01  20632.
 2013 02  22632.
 2013 03  90586·
 2013 04  89511.
 2013 05  5513.
 2013 06  18549.
 2013 07  2569.
 2013 08  58612·
 2013 09  60616.
 2013 10  33621·
 2013 11  56594.
 2013 12  85612.
 2014 01 9664·
 2014 02 26712·
 2014 03 38679.
 2014 04 88626·
 2014 05 4609.
 2014 06 76577·
 2014 07 63600.
 2014 08 12639.
 2014 09 18603.
 2014 10 91576·
 2014 11 67581·
 2014 12 27558·
 2015 01  53605.
 2015 02  3610·
 2015 03  14618·
 2015 04  25624.
 2015 05  34624.
 2015 06  68541.
 2015 07  91528.
 2015 08  27587·
 2015 09  11576·
 2015 10  68610·
 2015 11  13596.
 2015 12  77576·
 2016 01 60600·
 2016 02 9577.
 2016 03 15606·
 2016 04 43572·
 2016 05 82543·
 2016 06 24542.
 2016 07 62576.
 2016 08 19613·
 2016 09 1579.
 2016 10 68525·
 2016 11 41570·
 2016 12 26526·
 2017 01  68597.
 2017 02  23528.
 2017 03  65482·
 2017 04  7489·
 2017 05  58510.
 2017 06  96557.
 2017 07  71568.
 2017 08  31573·


 2017 09  72597.
 2017 10  19579.
 2017 11  24567·
 2017 12  92461.
 2018 01 36487·
 2018 02 49500·
 2018 03 11604·
 2018 04 10586·
 2018 05 98597·
 2018 06 66582.
 2018 07 44594·
 2018 08 28526.
 2018 09 36560.
 2018 10 78620.
 2018 11 61526·
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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: Employment Level: Office and Administrative Support Occupations in Wholesale Trade Industry: 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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