1 / 17

Capture & Leakage, and Trade Area Analysis

Capture & Leakage, and Trade Area Analysis. Arthur C. Nelson, Ph.D., FAICP Presidential Professor & Director Metropolitan Research Center University of Utah February 2010. Trade Area Sales Analysis.

ford
Télécharger la présentation

Capture & Leakage, and Trade Area Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Capture & Leakage, and Trade Area Analysis Arthur C. Nelson, Ph.D., FAICP Presidential Professor & Director Metropolitan Research Center University of Utah February 2010

  2. Trade Area Sales Analysis Provides an estimate of the number of people drawn to a community for retail purchases of a particular good Assumptions • Local people will buy goods at the same rate as the state/metro/other regional average • Income causes a variation in spending Drawback: Easy to measure capture for major retail groups but not specialized ones.

  3. Trade Area Sales Analysis Commonly called a “Capture” and “Leakage Study” Shows whether a community is capturing its full sales potential or whether that money is leaking out to other communities

  4. Potential Sales Sales and sales tax data from Department of Taxation: http://tax.utah.gov/esu/sales/calendaryear/index.html Per capita income from Regional Economic Information System: http://www.bea.gov/regional/bearfacts/action.cfm?fips=49045&areatype=49045 http://www.governor.utah.gov/dea/ State Population from Census estimates: http://www.governor.utah.gov/dea/

  5. Potential Sales AnalysisBox Elder County – Furniture Data: 2008 Box Elder County Population: 49,015 2008 Box Elder County Furniture Sales: $6,409,744 2008 Utah Furniture Sales: $1,700,318,619 2008 Utah Population: 2,736,424 2008 Box Elder County Per Capita Income: $26,502 2008 Utah Per Capita Income: $28,196

  6. Potential Sales Potential Sales = [(49,015) x ($1,700,318,619/ 2,736,424) x ($26,502/$28,196)] = $28,626,422 Actual Sales = $6,409,744 Capture (Leakage) = ($22,216,678) State per capita sales average = $621 County per capital sales average = $131 Economic Development Implications?

  7. Potential Income AnalysisBox Elder County – Information Data: 2007 Box Elder County Population: 47,790 2007 Box Elder Per Capita Income: $25,898 2007 Box Elder County Information Payroll: $2,007,000 2007 Utah Population: 2,668,930 2007 Utah Information Payroll: $1,821,617,000 2007 Utah Per Capita Income: $29,831

  8. Potential Income Potential Income = [(47,790) x ($1,821,617,000/ 2,668,930) x ($25,898/$29,831)] = $28,317,000 Actual Income = $2,007,000 Capture (Leakage) = ($26,310,528) State per capita information average = $683 County per capital information average = $42 Economic Development Implications?

  9. Reilly’s Law of Retail Gravitation • Provides estimate of maximum distance customers will travel to shop for a specific good or service • Premise is that people are attracted to larger places to shop, but time and distance influence these decisions • The town being analyzed should be the largest in the analysis • Works best for goods and services where quality, price, etc., are factors influencing purchases

  10. Reilly’s Law Distance from Smaller Community (Y) Distance data can be obtained from Internet mapping sites such as MapQuest, Yahoo, etc.: http://www.mapquest.com State Population by Place from Census estimates: http://www.census.gov/main/www/cen2000.html

  11. Price Trade Area

  12. Distance Data (Mapquest)

  13. Population Data

  14. Price Trade Area Helper: Distance = (5.50 miles) / (1+  8,039/1,876) = 1.79 miles Wellington: Distance = (5.00 miles) / (1+  8,039/1,571) = 1.54 miles Helper will draw residents from 1.79 miles toward Price Wellington will draw residents from 1.54 miles toward Prioce What does this mean in practical terms?

  15. Price Trade Areas

  16. Reilly’s Law Limitations Assumes homogeneous population Only use for independent communities surrounded by countryside Should only be used for similar sized communities Assumes everyone shops locally – overestimates shopping population Estimate average trade boundary; individual goods or services will have different boundaries

  17. Sources Hustedde, Ronald J., Ron Shaffer, and Glen Pulver. Community Economic Analysis: A How To Manual. North Central Regional Center for Rural Development. Ames, IA. November 2001. Kathy Tweeten, North Dakota State University; Alan Barefield, Southern Rural Development Center; Randy Reynolds Piedmont Community College “Community Economic Analysis” nd.

More Related