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7-a - Report on the Orange County Tax Equity Study
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7-a - Report on the Orange County Tax Equity Study
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BOCC
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1/23/2018
Meeting Type
Regular Meeting
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Agenda
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7-a
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<br />CCM Economics, LLC Orange County Tax Equity Page 25 <br /> <br />To ensure that the tax burden from the zip code data of Orange County was properly <br />assigned and controlled for, GIS analysis was used to assign proportions of each zip code to <br />Orange County and the respective municipalities. However, GIS land area analysis was not <br />sufficient in and of itself. One also has to analyze where people live. Consider again the <br />aforementioned example of zip code 27278. The land area of the town of Hillsborough takes up <br />58.5% of the land area of the zip code; however, only 26% of the population of the zip code that <br />lives in Orange County lives within the town of Hillsborough. Therefore, detailed analysis of the <br />land area and population distribution was employed for each of the zip codes, municipalities, and <br />the county to determine the correct proportion of the IRS zip code level income statistics data to <br />assign to the respective 5 geographic subunits. <br />Retail sales taxes are the 3rd largest source of revenue for Orange County government. <br />Some states, such as Missouri, make detailed records about retail sales available to the public <br />and upon request. For example, in the 1st quarter of 2016, there were $3.2 million of retail sales <br />from bakeries within the city limits of Kansas City. From detailed records such as these one can <br />determine how much each household in and around Kansas City spent and how much cities <br />collected in sales taxes. The state of North Carolina does not release such detailed sales tax <br />records. Therefore, to determine sales tax paid on a per capita basis, one has to take the data that <br />is available on retail sales in the county and build models of a typical household’s spending. <br />These spending models are based upon income, household size and structure, and other <br />important characteristics. For example, a household that earns $35,000 per year will have <br />different spending habits then a household that earns $100,000 per year. This is true even if <br />these two households have identical family and age structure. Similarly, a 2-person household <br />62
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