Orange County NC Website
Draft 10/8/99 <br />In 1994, a report was prepared that used .the. LESA system to <br />categorize the County's soil types -and propensity for agricultural <br />production into eight categories.: Those categories were .then <br />refined into agricultural soil groups, with the higher group <br />containing the highest class of farmland. A table showing the soil <br />types and their assessment and` ranking criteria is included as .part <br />of Appendix D. The six agricultural groups with lands classified as <br />prime are shown. below. These groups comprise 54% of the County: <br />land area. <br />1-Prime 7.1%. <br />2 -Prime 19.7% <br />3 -Prime 11.7% <br />4 -Prime 9.0% <br />5 -Prime 8.8% <br />A formula was recommended in the 1994 "Preserving Our Farms" <br />report that provides for .further. refinement of this data -for the <br />purpose of assessing sites for potential acquisition. A calculation on <br />the relative -value of a site (its yield potential, soil productivity and <br />agricultural-class) maybe. performed. This involves: <br />` - Locating the site on a soil survey -map and determining the type- <br />of soils present <br />- Determining -the acreage of each soil type and it's agricultural <br />group (see above) <br />- - Multiplying the number of acres in each group by the relative _ <br />. value and. summing all groups <br />- Divide the total .relative value by the total acreage to obtain <br />average relative value <br />The number generated by this analysis will - allow comparative <br />assessment with other prime farmland. A master .list could be <br />generated of the most significant prime .farmland, from which <br />potential acquisitions could be pursued as desired. An update of the <br />work from 1994 will be needed to establish a new map and master <br />list of areas. <br />This approach, while several years old, is still recommended by the <br />Agricultural Districts Advisory Board.- There is considerable <br />additional detail on the method of using the LESA approach to <br />evaluate farmland. Some modification. may be needed to address <br />20 <br />