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Data sources <br />Data for all methods except land bank were: <br />• Retrospective of eight years. <br />• Based on previous sales tax data collected from municipal budgets. <br />• Population and household data from DRCOG (available starting in 2000). <br />• Spending power data from PCensus AGS database on spending power. <br />• Consumer spending data from Bureau of Labor Statistics Consumer Expenditure Survey. <br />For the land bank model that data was derived from: <br />• Prospective analysis for 30 year developmeent time frame. <br />• Data came from potential retail development as outlined by municipal comprehensive plans and <br />city/town planners. <br />• Assumed a FAR of .25. <br />• Retail sales of $350 per square foot. <br />• Assessor's data for Boulder County -with equivalency adjustment for agricultural properties zoned for <br />commercial/retail. <br />• Assessor's data from Weld County. <br />Considerations for Evaluating the Methodologies <br />The considerations established to evaluate the methodologies were: <br />/ Encourage sound land planning <br />/ Promote revenue stability/predictability <br />/ Reduce economic development competition and need for incentive packages <br />/ Discourage overbuilding of retail <br />/ Protect self-determination in development decisions <br />/ Allow municipalities budget flexibility to meet service needs <br />Description of Methodologies <br />1. Population <br />Population is a relatively simple method by which ito share revenue. This model illustrated 1% incremental sales <br />tax revenue collection for sharing each year, whichi was then pooled and distributed per capita to each <br />city/town. <br />• Determined what percentage of the total population of participating entities each city/town contributed <br />for each year. <br />• These percentages were applied to the incremental sales tax revenue pooled for that year, and <br />redistributed incremental sales tax based on share of total population. <br />2 <br />