20180523 09491100 1.0 FALSE 20180523 09493600 500000 5000 ItemDescription TRUE Chatham - Historic Mills.mxd 005 20180523 09493600 Historic Mills <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Point locations of Chatham County Historical Mills on the Haw River, Deep River, Cape Fear River, Rocky River and Tributaries. Points were plotted from old descriptions by Thomas Charles and Louise Bippart Hobbs members of the Historical Society.Data was imported into Chatham County SQL database in March 2017. Data editing and maintenance to be conducted as needed coordinated by the Chatham County GIS Department in conjunction with the Chatham County Historical Society.</SPAN></P></DIV></DIV></DIV> Historic Mills Chatham County Water Grains Flour Point locations of Chatham County Historical Mills on the Haw River, Deep River, Cape Fear River, Rocky River and Tributaries. Chatham County, Chatham County Historical Society, Chatham County GIS <DIV STYLE="text-align:Left;"><DIV><P><SPAN><SPAN>Chatham County GIS shall not be held liable for any errors in these data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. These data cannot be construed to be a legal document. Primary sources from which these data were compiled must be consulted for verification of information contained in these data. Any resale of this data is strictly prohibited in accordance with North Carolina General Statute 132-10.</SPAN></SPAN></P></DIV></DIV> Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.4.1.5686 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDjPh38 PtI8V6BcX2oTXqSx3TQqIJFUbQit3U8/Ma67/hS3hn/n51T/AL/x/wDxumfBP/kT73/r/b/0Wlel gUAecf8AClfDP/Pzqn/f+P8A+Ipf+FK+Gf8An51T/v8Ax/8AxuvSQtOCUAeaf8KU8M/8/Oqf9/4/ /iKX/hSfhn/n51X/AL/x/wDxuvThHTxFQB5d/wAKT8M/8/Oq/wDf+P8A+N0f8KT8M/8APzqv/f8A j/8AjdepeVR5VAHlv/Ck/DP/AD86r/3/AI//AI3R/wAKT8M/8/Oq/wDf+P8A+N16l5VHlUAeW/8A Ck/DP/Pzqv8A3/j/APjdH/Ck/DP/AD86r/3/AI//AI3XqXlU1lVFLMQqjkk9BQB5f/wpPwz/AM/O q/8Af+P/AON0f8KT8M/8/Oq/9/4//jdduniOwa+8jdiPoJj0J/wraCZAIwQe4oA8u/4Un4Z/5+dV /wC/8f8A8bo/4Un4Z/5+dV/7/wAf/wAbr1LyqPKoA8t/4Un4Z/5+dV/7/wAf/wAbo/4Un4Z/5+dV /wC/8f8A8br1LyqPKoA8t/4Un4Z/5+dV/wC/8f8A8bo/4Un4Z/5+dV/7/wAf/wAbr1LyqQxUAeW/ 8KU8M/8APzqn/f8Aj/8AiKP+FK+Gf+fnVP8Av/H/APG69PMdMKUAeZf8KV8M/wDPzqn/AH/j/wDi KT/hS3hn/n51T/v/AB//ABuvSytMIoA8J+Inw+0jwpoFvfafNevLJdLCwnkVhtKM3ZRz8oorq/jZ /wAifZf9f6/+i3ooAPgl/wAife/9f7f+i469NUV5n8Ev+RPvf+v9v/RcdenoKAHqtSqlCLU6JQA1 UqZY6kSP2qdIuKAKvl0eXVzyqPKoAp+XR5dXPKrD8TeJ9M8K2Pn30mZX/wBVbofnkPt6D3oAnvrq 10y0e6vJlihTqT/Iepry/X/GMurSGKHMNmDwmeW92/wrlPEHjG+8RXpnupNsa/6qBPuRj29/esj7 d7/rQB03273/AFrofD3jR9Mdbe83S2Z/Fo/p7e1ecfbvf9aPt3v+tAH0razW99apc20qSwuMq6ni srW/EmnaBcRQ3om3yoXXy0B4zj1rxvw143vfDd3vhbzbZj+9t2PDe49D71q/EHxRp+u3Wl3mnyko bVhIh4aNt/3WoA7z/hYWg+l1/wB+h/8AFVd0rxdpWs6gllaifznDMN6ADgZPevBft3v+tdf8Mbnz /HVomc5im/8AQDQB7Z5dI0dXfKprxcUAZ7JULJV94/aq7pQBTZaiYVadaruKAPL/AI2/8ifZf9f6 /wDot6KX43f8ifZf9f6/+i3ooAPgj/yJ97/2EG/9Fx16lGK8u+CH/In3v/YQb/0XHXqkYoAnRatR pUUYq3EKAJI46spFxTYwKtxgYoAg8r2o8qrRwBk9K8N+J/xtisPO0TwpMst1yk2oLysXqI/Vv9ro O3sAdP8AEH4n6b4NjeytjHd6ww4gB+WH/ak/+J6186ap4jvda1CS+1C5ee4kPzOx/QDsPaodE8Ke JvGF2zaZp13eu7ZkuDwm492duPzNbPjL4Xa34H0ay1HUpoJRcOY3SAswibGQC2O9AGB9u/2qPt3+ 1WOgd3VFyWY4AHc16Zq3wL8Y6dp8N5axRagGiV5IYGxLGxGSu0/ex0+UmgDi/t3+1R9u/wBqsy7t LvT7lre8t5redDho5UKMv4GoMn1NAG19u/2qPt3vWLk+poyfU0AbX27/AGq7z4N3PnfEywTPWGf/ ANFtXlOT6mu/+C97bWXxR0yS7nSGNlljDyMFG5kYAZPqcCgD6z8r2prxcVcwKZIBigDNkjqrIlaM gFVJBQBnyLVVxV+UVTkFAHlfxu/5E+y/6/1/9FvRS/G//kT7L/sIL/6LeigBPgh/yJ97/wBhBv8A 0XHXqkdeV/BD/kT73/sIN/6Ljr1SOgC5FVuOqkVW46ALkdPur2106xlvLyeOC2hXfJLI2FUepNY+ ueItN8MaU+o6pcCKFfugcvI391R3NfOXiPxdr/xa8WWWhWubaxnnCQWoJKr6ySY+8QMn2xxQBpfE 74z3PiPzdH8PvJa6ScrLOPlkuR6f7K+3U9/Sux+EPw+8F6r4Vstekszf3xys63TbkjkU8gJ0x0PO eDXnr/AjxjFrtvYNBA9rK+DfRybo417lhw3Ttj8a+gNG0fw58LPCLqbhbe0i/eXFzO3zSvjGfqcA ACgCj4q+KHhXwK7abKzSXkKjFlaxfcGMgHoq8Gt6eDQ/G3heB72GO60u7RJwshIHqOQRyK+Wvin4 007xv4nW/wBNsXt44ovJ82Q/PMAeGIHSqPhPQPE3jac6VpN4zLbR7vLmuiiIuew+p7CgD6bs/hz4 AhvYJ7XRtPFxDIJIyshJDA5HG7mpvGnxG0bwLcafDqizsbwsf3KhjGq/xEZ6ZOK8Lk+BPju0jM0c 9kzKMkR3jBv1UV5jf3V5cT7by6kuHhzGrPKXwAegPpQB9kxL4S+JWhi68i01WyJKb5I8MjcEjPDK eR0r5p+LXhvw/wCFfFw0vQmnwsQkuI5H3CNm5Cqev3cHn1r1P4NfEvw8ui2HhOeMabeRArG7tmO5 cnJO7sxJ6H8PSpvi18IBr/n+INAjP9qn5p7bPFx7rno386APmiivQ7/4N+KdJ8JXWvahFDAtuoc2 u/dLtzgk44GOO9eeUAFFFFAHtvww+NkulmHRfFMzzWPCQ3zcvD6B/wC8vv1HvX0TFcQ3VtHPBKks Ui7kkRsqw9Qa+Ca9F+G3xT1PwZcLZz77zRnb57cn5ov9qM9vp0NAH1XJVSSo9K1rT9f0yPUdMuUu LaQcMvUH0Ydj7VJJQBTkqpJVuSqklAHlfxv/AORPsv8AsIL/AOi3oo+N/wDyJ9l/2EF/9FvRQAnw Q/5E+9/7CDf+i469Ujryv4If8ife/wDYQb/0XHXqkdAFyKrcdVIqtx0AUNV8I6D4hnSbVtPS7dF2 oZHbCj2AOBTtF8BeF9A1FdR0vRoLa8VSqyqWJAPXqa2Y6tx9KAOI1n4seFvD/iuTw/qdzLBPGiF5 /L3RqW52kjkHGD0xzXg3jbxTq/xY8bQ6XpCSPZCXyrG3HAPrK/4c+wrd+N/w+sPDxbxLDqVzLcaj eEPbz4b5mDMWDegxjHuK8z0yHxFo0EPiLTY762hBZUvYVYLkdRuH9aAPpHRPgnoGl+EbvTp40utU vLcxy3si8ox6bP7oBx7mvAfCerXXw/8AiJBPcqyG0uGt7pDxlM7W/wAa7bw1+0JrmnhIdds4tShH Blj/AHcuP/QT+lcp8UNZ0DxL4gTXtDd1N5GPtVvLHtaOQd/Q5Hf2oA+gPi74vTw/8PZpLSYfadSX 7PbMp7MMs4+i/wBK8a+BnhCLxH4tl1C+t0msNOj3FJFDK8jZCqQfbc3/AAEVw+u+KtR8QWGk2V6+ 6LTLb7PFzknn7x98YH4V6f4S+KXh74d+B4NN061k1LVpsz3LD93EJGxhdx5OBgcD1oAk+Lfwdj0e 3l8ReGYiLNPmurJefJH99P8AZ9R2+nTV+Gnxssbbw3JY+Lb11ubIAQTlGd507KcdWHr3GPevPPEX xX8Y+MHeyS4e3t58oLOxUjeD2J+81cZeaTd6XqKWWqQS2cpCM6yphlVgCGx9DmgD7J8NeJtJ+IPh ma7s0kNpKZLeWGbAcdiCAT1Bz+NfIvjHw7N4V8V6hpEwOIJT5bH+KM8qfyr6p+HfgGy8B6XMttqN zdG62ySNIQqcDqq9uO+a8k/aBl8PX+o2F5p2pWs+pxgw3MMLBjs6qSRxxyKAPE6KKKAO9+D+h6b4 h+INvp+rWiXVo0ErGJyQCQvHSvoo/CbwInK+HLYH/ff/AOKrwT4C/wDJUrT/AK9pv/Qa+r5OlAHO aT4W0Tw40raRYraeYMOEdsN9QTirslW5KqSUAU5KqSVbkqpJQB5X8b/+RPsv+wgv/ot6KPjf/wAi fZf9hBf/AEW9FACfBD/kT73/ALCDf+i469Ujryv4IHHg+9/7CDf+i469TjNAF2KrcdUo2q3G9AF6 OrcfSqMb1bjk4oA8O/aWL/2b4eAz5fnT7vrtTH9a7P4LRwv8JNJUqrKTNvUjIJ8185rzb43+ONK8 RxDw9aWl19s0+8JeeVdiggMrKAeTzjn2rzKx1PxTd6ZF4b0+8v3syzFbK2JwxY85C/e/GgD2b4lW PwiiMxvJkg1TnK6Pgybs/wASj5M/72K+e7jyftEgti5h3HYZAA23tnHevUfDnwE8S6qUl1WSLSbc 8kSfPLj/AHB0/EisP4keGNF8Ka1FomkSTTy28Qa7uZmHzO38IA4AA/nQBwldL4OTwlJqePFs+oRW 2RtNooKn13n7wH+7VXVfDGpaNZ6Zc3keyLUbf7RAf9nOMH36fnXpXh34R6T468F22raNqElhqSgw 3MEw8yLzV/8AHlyMHv1oA9o8DWPgePTxJ4QTTpEwN0kBDS/8DJ+YH614V+0GIx8RoymNxsY9/wBc t/TFYOsfDvxr4Iuftot7lEi5W+sJCQvvuXlfxrntT1LUdd1VdQ1m5lvJsIju2AzIoAxn6d6APr2c v/wrGUzZD/2O24/9sTXxUa+y/AvjrSvG+lyiytbiH7MqxzRTxjaMjoGHB+lePfHfRvDOlXlhBpGl wWupz7pp2txtXy+g+UfKCT7UAeKUVP8AZno+zPQB6L8Bf+SpWn/XtN/6DX1fJ0r5U+BURi+KFqzf 8+83/oNfVEkgxQBXkqpJViR6qSPQBWkqpJVmRqqSGgDy343/APIn2X/YQX/0W9FJ8bznwfZf9f6/ +i3ooAT4I/8AIn3v/X+3/ouOvUUNeXfBL/kT73/r/b/0XHXpyGgC4jVZR8VRVqraxfTWGkzXMG3z Ext3DIoA6BJOabLq9haHbc31rC3pJMqn8ia8e1PxLrl7G0TXrxRngrCAmfxFcjPZeY+X+Y+rc0Ae 633hrwd4omea4sdNvZ35aWJwX+uVNcynwlg0bWoNX8L6vNYXELbljnHmIR3BI5wfSvL4raSBw8Lv G4OQUO011Fj448T2UYT7cLhB/wA90Dn/AL660Ae5xyuI08zZvwN23pn29q5iTwZ4RtrufUb3TrSS 4ncySXF6+4ux92OK85ufiD4mnQqk8MGe8cIz+Zrlrw3mozGa9uZriRurSuWoA95vB4V1uGK0uzpN 5HENsUbyxttHTC88fhUuheGtH8NSXLaRam0S52mSJXJTI6EA9OtfPAsADkKAfUCtvStf13RV2WWo SrF/zzk+dPyagD2jxZpeo6/pDabYalHYRz/LcS7Czsn91cdM965rR/g/4S0uMNd28mpSryz3LYX/ AL5HArmD8RfEpTbutQ397yeawNV1rW9a4v8AUJpE/wCeanYn/fI4oA9usLjw1ocRtLGfS7JGbc0c U0a5PTJ5rP13wT4V8XyNeXlqk07KE+1283zYHQbgSK8JOngnlAfqKt2Et/pcwmsbue3kHeNyKAOs vvgMpmJ0/XEWLstzASR/3zWjo3wO0e2cSavfzXpH/LKEeUn59ayoPiF4mhQK81vNju8Iz+lVb/xr 4m1CMxtfmCM9RbqEP5jmgD1TT9E8I+FJhJaWmm6fOoxvaQK+D7sc1sRarZXhxbXlvOfSKVWP6Gvm yS0aVi8pZ2PUudxp9vZtFIGjJQjuvFAH0i8lVnevKNN8Ua9aIsf2wzIOAJlDn8+teiaZdy3mk2tz NjzZIwzY4GaALTtVZzUjtUDmgDzH43f8ifZf9f6/+i3opPjb/wAifZf9f6/+i3ooAPgn/wAife/9 f7f+i0r0xTXmXwU/5E+9/wCwg3/otK9KBoAsK1VNXje40qaJFLM2MKKmDUoegDj4/DF7ctgxiJfW Q4/StCLwHaEZmvJGPoigCujD04S0AcvceAYNpNteMG9JE4/MViT+EtSgYj7KZB6x/MK9E82k833o A85i8L6lK2FspB7uNorZtPAW5Q13dBD/AHI13frXW+Z70vm0Ac2/gKwK/JdzKfUqDWRd+Cb2Bswb LhP9ng/lXd+bR5tAHm3/AAjWoltv2CbP+5WhZ+CLuc5uGjt09/mb8q7jzPel82gDm18BWAX5rucn 1CgVTu/Abopa0uVk/wBmRdp/Ouw82jzaAPN5PDGoxNhrKQ+6jIqa38I6jOwBt/KX1lO2vQfM96PM 96AOYg8A2wX/AEi8ct6RpgfrSy+A7YDNveOG9JEBFdP5tIZaAOJfwze2zY8nzB6xnNddpitBpdtE 6lWWMAg9qmL00vQA9mqNjTS1ITQB5r8bP+RPsv8Ar/X/ANFvRSfGv/kT7L/r/X/0W9FAHlOh+NNf 8OWb2elXqwQPIZGUwRvliAM5ZSegFaX/AAtXxl/0FE/8BYf/AImiigBf+Fq+Mv8AoKp/4Cw//E0n /C1vGX/QVT/wFh/+JoooAP8Aha3jL/oKp/4Cw/8AxNL/AMLW8Zf9BVP/AAEh/wDiaKKAD/ha3jL/ AKCqf+AkP/xNH/C1vGX/AEFU/wDASH/4miigA/4Wt4y/6Cqf+AkP/wATR/wtbxl/0FU/8BIf/iaK KAD/AIWt4y/6Cqf+AkP/AMTR/wALW8Zf9BVP/ASH/wCJoooAP+FreMv+gqn/AICQ/wDxNH/C1vGX /QVT/wABIf8A4miigA/4Wt4y/wCgqn/gJD/8TR/wtbxl/wBBVP8AwEh/+JoooAP+FreMv+gqn/gJ D/8AE0f8LW8Zf9BVP/ASH/4miigA/wCFreMv+gqn/gJD/wDE0f8AC1vGX/QVT/wEh/8AiaKKAE/4 Wt4y/wCgqn/gLD/8TR/wtbxl/wBBVP8AwFh/+JoooAX/AIWr4y/6Cqf+AsP/AMTSf8LV8Zf9BRP/ AAFh/wDiaKKAM3XPGmv+I7NLPVb1Z4EkEiqII0wwBGcqoPQmiiigD//Z Map dataset 20180523