Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employment Level: Management, Business, and Financial Operations Occupations in Retail Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2000 01 8759.
 2000 02 24825·
 2000 03 92853·
 2000 04 39871.
 2000 05 16901·
 2000 06 79857.
 2000 07 82912·
 2000 08 12932·
 2000 09 35916.
 2000 10 751002·
 2000 11 16983.
 2000 12 27964.
 2001 01  14949·
 2001 02  96876.
 2001 03  8842·
 2001 04  29845.
 2001 05  28888.
 2001 06  47858·
 2001 07  96893.
 2001 08  87936·
 2001 09  79829.
 2001 10  60825·
 2001 11  42866·
 2001 12  95883·
 2002 01 92895.
 2002 02 92935·
 2002 03 34842.
 2002 04 71856·
 2002 05 17855·
 2002 06 24815·
 2002 07 85847.
 2002 08 61936.
 2002 09 29897·
 2002 10 63847·
 2002 11 33805·
 2002 12 33846.
 2003 01  29840.
 2003 02  41950.
 2003 03  41881.
 2003 04  81859.
 2003 05  42961.
 2003 06  15962.
 2003 07  97961.
 2003 08  25860·
 2003 09  19850·
 2003 10  65785.
 2003 11  14752.
 2003 12  8820·
 2004 01 35854·
 2004 02 99906·
 2004 03 29938·
 2004 04 1898.
 2004 05 90998·
 2004 06 48943.
 2004 07 6926·
 2004 08 96970·
 2004 09 101021.
 2004 10 691014·
 2004 11 32989·
 2004 12 141003·
 2005 01  45919·
 2005 02  44972.
 2005 03  201004·
 2005 04  97926.
 2005 05  711000·
 2005 06  79943·
 2005 07  8970·
 2005 08  161041·
 2005 09  871043.
 2005 10  61023.
 2005 11  591070·
 2005 12  651034.
 2006 01 201011.
 2006 02 811028.
 2006 03 621005·
 2006 04 62996.
 2006 05 20951·
 2006 06 86946.
 2006 07 28989.
 2006 08 521001·
 2006 09 62985·
 2006 10 28971.
 2006 11 95937.
 2006 12 4920·
 2007 01  46912.
 2007 02  39865.
 2007 03  28909.
 2007 04  12970.
 2007 05  98952·
 2007 06  74947.
 2007 07  12889·
 2007 08  95900·
 2007 09  69896·
 2007 10  16913·
 2007 11  62899.
 2007 12  98941.
 2008 01 33910.
 2008 02 72951·
 2008 03 16945.
 2008 04 89911·
 2008 05 91864·
 2008 06 72852·
 2008 07 35862·
 2008 08 63904·
 2008 09 69973·
 2008 10 74923·
 2008 11 9950.
 2008 12 39909·
 2009 01  17857.
 2009 02  59847.
 2009 03  49820·
 2009 04  60810·
 2009 05  9805.
 2009 06  35834·
 2009 07  95846.
 2009 08  97914.
 2009 09  48931.
 2009 10  31931·
 2009 11  8874.
 2009 12  43856·
 2010 01 57908.
 2010 02 6922·
 2010 03 76875·
 2010 04 17890·
 2010 05 88842.
 2010 06 41882·
 2010 07 13929·
 2010 08 63943·
 2010 09 16954.
 2010 10 42908·
 2010 11 57904.
 2010 12 52888.
 2011 01  41851.
 2011 02  41788.
 2011 03  70775.
 2011 04  76746.
 2011 05  89684·
 2011 06  94685·
 2011 07  39710.
 2011 08  55675·
 2011 09  9741.
 2011 10  85768.
 2011 11  79807·
 2011 12  33813·
 2012 01 78872.
 2012 02 18839.
 2012 03 27863.
 2012 04 79829·
 2012 05 96826.
 2012 06 26886.
 2012 07 46874·
 2012 08 88848.
 2012 09 87911.
 2012 10 65882·
 2012 11 23867·
 2012 12 78922.
 2013 01  4906.
 2013 02  17887·
 2013 03  72848.
 2013 04  93904.
 2013 05  20855·
 2013 06  88897·
 2013 07  31906·
 2013 08  4849·
 2013 09  36760.
 2013 10  11749·
 2013 11  62778.
 2013 12  3904.
 2014 01 79873.
 2014 02 42923.
 2014 03 53933.
 2014 04 10857·
 2014 05 97885·
 2014 06 62838·
 2014 07 18891.
 2014 08 70928.
 2014 09 67883.
 2014 10 78944·
 2014 11 93890·
 2014 12 51853.
 2015 01  89861.
 2015 02  22827.
 2015 03  42831·
 2015 04  47873.
 2015 05  88943·
 2015 06  50830.
 2015 07  54903·
 2015 08  78876·
 2015 09  15955.
 2015 10  451001.
 2015 11  401004·
 2015 12  871057.
 2016 01 441120.
 2016 02 121011·
 2016 03 38969.
 2016 04 45960·
 2016 05 78918·
 2016 06 83933·
 2016 07 13999·
 2016 08 45975·
 2016 09 40942·
 2016 10 16966.
 2016 11 501060·
 2016 12 51032·
 2017 01  811017.
 2017 02  91998.
 2017 03  64982.
 2017 04  71954·
 2017 05  77966.
 2017 06  15952·
 2017 07  92999·
 2017 08  12981.
 2017 09  28969.
 2017 10  20996·
 2017 11  971052.


 2017 12  21945.
 2018 01 59939·
 2018 02 63916.
 2018 03 67938.
 2018 04 18881.
 2018 05 21868.
 2018 06 25912.
 2018 07 15962.
 2018 08 46961·
 2018 09 901004.
 2018 10 13955.
 2018 11 79976.
 2018 12 76968.
 2019 01  64990.
 2019 02  58953.
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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: Management, Business, and Financial Operations Occupations in Retail 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

Want state and city building permits data? Click here for California and then find your own.

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

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap