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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 64781·
 2000 02 25828.
 2000 03 54834.
 2000 04 95820·
 2000 05 19796.
 2000 06 0769.
 2000 07 12781.
 2000 08 60790·
 2000 09 29784·
 2000 10 61810.
 2000 11 60729.
 2000 12 12734.
 2001 01  42712.
 2001 02  90713·
 2001 03  8758.
 2001 04  94762·
 2001 05  36689.
 2001 06  93726·
 2001 07  96735.
 2001 08  75708·
 2001 09  9736·
 2001 10  1751·
 2001 11  86729.
 2001 12  50771.
 2002 01 87755·
 2002 02 73781·
 2002 03 66755.
 2002 04 38710·
 2002 05 22744.
 2002 06 88730.
 2002 07 49746·
 2002 08 83748·
 2002 09 87795.
 2002 10 54723·
 2002 11 72738.
 2002 12 54734.
 2003 01  84738.
 2003 02  3731·
 2003 03  99689·
 2003 04  44722.
 2003 05  39680·
 2003 06  91776.
 2003 07  18785·
 2003 08  74828·
 2003 09  0810·
 2003 10  99778.
 2003 11  41870·
 2003 12  88804·
 2004 01 44877·
 2004 02 35850.
 2004 03 7805.
 2004 04 54764·
 2004 05 72783·
 2004 06 30833·
 2004 07 77878·
 2004 08 67854.
 2004 09 7805·
 2004 10 40818.
 2004 11 41789·
 2004 12 45777·
 2005 01  2734·
 2005 02  48730·
 2005 03  11719·
 2005 04  34710·
 2005 05  31755.
 2005 06  60840.
 2005 07  24926.
 2005 08  2882.
 2005 09  95865·
 2005 10  7802.
 2005 11  45801.
 2005 12  43842·
 2006 01 19826·
 2006 02 47828.
 2006 03 60755.
 2006 04 76696·
 2006 05 53738.
 2006 06 60841·
 2006 07 82853.
 2006 08 46869.
 2006 09 74842·
 2006 10 54829·
 2006 11 50811.
 2006 12 22800.
 2007 01  80816·
 2007 02  60805·
 2007 03  26742·
 2007 04  98826.
 2007 05  98811.
 2007 06  35814.
 2007 07  99818·
 2007 08  92808.
 2007 09  78808.
 2007 10  60763.
 2007 11  81753.
 2007 12  50773·
 2008 01 96714·
 2008 02 43767·
 2008 03 9780.
 2008 04 40702·
 2008 05 51673·
 2008 06 14686.
 2008 07 48704·
 2008 08 56736·
 2008 09 70707.
 2008 10 30685.
 2008 11 84630.
 2008 12 18586·
 2009 01  2590·
 2009 02  73642·
 2009 03  31618·
 2009 04  69571.
 2009 05  24639.
 2009 06  50632·
 2009 07  27659.
 2009 08  80684·
 2009 09  34651·
 2009 10  92572.
 2009 11  34594·
 2009 12  43547·
 2010 01 60636·
 2010 02 57619.
 2010 03 40714.
 2010 04 78681·
 2010 05 50717.
 2010 06 24667·
 2010 07 59610.
 2010 08 30605·
 2010 09 81597·
 2010 10 2628.
 2010 11 28624·
 2010 12 67567.
 2011 01  54651·
 2011 02  22656·
 2011 03  10693·
 2011 04  84695.
 2011 05  92723.
 2011 06  40740·
 2011 07  92680.
 2011 08  99675·
 2011 09  47602·
 2011 10  38627·
 2011 11  89649.
 2011 12  57685.
 2012 01 94704.
 2012 02 23658.
 2012 03 37664·
 2012 04 27622·
 2012 05 34669.
 2012 06 27623·
 2012 07 0590·
 2012 08 3619.
 2012 09 92598·
 2012 10 5597.
 2012 11 65637·
 2012 12 4609.
 2013 01  18632·
 2013 02  40632·
 2013 03  45586·
 2013 04  75511.
 2013 05  88513.
 2013 06  39549.
 2013 07  79569.
 2013 08  84612·
 2013 09  1616.
 2013 10  32621·
 2013 11  29594·
 2013 12  26612·
 2014 01 84664·
 2014 02 77712.
 2014 03 83679·
 2014 04 19626·
 2014 05 88609·
 2014 06 55577.
 2014 07 54600·
 2014 08 9639·
 2014 09 86603.
 2014 10 73576.
 2014 11 80581·
 2014 12 63558.
 2015 01  80605·
 2015 02  63610.
 2015 03  23618·
 2015 04  77624·
 2015 05  95624.
 2015 06  81541.
 2015 07  73528·
 2015 08  69587·
 2015 09  81576.
 2015 10  8610·
 2015 11  40596·
 2015 12  84576.
 2016 01 14600·
 2016 02 52577·
 2016 03 64606.
 2016 04 90572.
 2016 05 95543·
 2016 06 44542·
 2016 07 7576.
 2016 08 82613.
 2016 09 48579.
 2016 10 41525.
 2016 11 58570·
 2016 12 79526.
 2017 01  24597·
 2017 02  24528.
 2017 03  28482.
 2017 04  25489·
 2017 05  98510·
 2017 06  0557·
 2017 07  56568.
 2017 08  89573.
 2017 09  71597·
 2017 10  1579·
 2017 11  6567·


 2017 12  66461.
 2018 01 68487.
 2018 02 83500·
 2018 03 63604·
 2018 04 74586·
 2018 05 40597.
 2018 06 28582.
 2018 07 43594.
 2018 08 57526·
 2018 09 62560·
 2018 10 43620.
 2018 11 82526.
 2018 12 86500·
 2019 01  34546.
 2019 02  58516.
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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

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