<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221007</CreaDate>
<CreaTime>14142200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>2020 General Election Demographics</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>general elections</keyword>
<keyword>demographics</keyword>
<keyword>2020</keyword>
</searchKeys>
<idPurp>Linked demographic precinct data analysis of authoritative mapped election results from 2020 General Election</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3c87R
7dD1oJK4BGotwOY8nOfX0pgWDkhccZP8QpANKnBwOenI4xQ9gEJPldQBnuOlT0Abt6Ng5xxxxS6A
N6Ie3I69OtIBduSDjpzketAircKVvFBx80f9f/r0PYpAEwytxjtmkhj2IYLtAByScccVtScVe5jN
SdrEQye3PpXZc5rMjlaPEaAMTgbs9Aa5ZVLqzOqNOzumV4NsbSEABg5zjoT7/wCNZGpaW53MMkYx
kgjkUDHGTEqkkAYPX8KBDvMjBJDDII7igCvPKjQvkEZYHII/xoGPE+Vwuzgclm5oEOjd9i/KvAxy
1ADxI+MsFX/gX/1qAIZj/pcLBgPlZSR78/0oARyMbvOUH6DmgCWLdtYcEZ/pT0YmBzk812RTSRxS
abdgIBUjcRkdqzamaxcL3YyJGiP+tkYYxh2zTVJbsTrPZCz7QsbkNuDDnPrxUSa1iUltIe/32+tb
w+FGM/iYlMkKACgAoAKACgAoAKACgDSXqCc57DnpXEdxEVAvC54baAMHqM0B1JR1BPHPHX9aYDXH
XPy46EfypAJjKndwM8Yz1qVsAjj5RnAAHUdqOgMZ1zkcetSANIUdAMAHgnFa04KSbM5zaaRFcnN2
h6Zjbr9RULzNRnVeVBOcU5pJ2QoNtak8cmIFXgHPORnIpIou/LyRtwOtMDHlVvNbbyNxxzQBUiiW
RpQyKcyc5A64FAEtvbROJFIQFWwGQAY/xpDHrGkbhWQB84BA4bvxQIf9pgTcplRWU8gnp/nNADZL
mGaJ1jlRyNpO05wDyPzoAZZ4YcqeKBkqAFTwcAnGfrQIcAMNwOtAEc4AkhwvO/8AoaAJWGRjAH4U
AMUkRk4J6HjvwK1pJORlWbUSuJnwvIbPfb/9euo47knmsCo8tjnvx/jQMTznxnyJP0/xoFcm+9Hk
5GQDj0ricbVGdid4oUnLE12LY5W7sSmIKACgAoAKACgAoAKACgDRHRcYIxknFcZ3EOSLxR1yrHr2
BH+NAE3ZdpBB56UgE5wcc9gM8f8A66AGr7HIzUALsB5DHI4xR5BYRkCMSzDHqaOVvYHZbh+5PzEq
e3NUozWwrwe5WnLNNFvBH7tv/ZaRaGuMx8Y3D3pPYGMkDGMkKSwGQpPU/wBKQio2o4J3BVJIGDKB
k9/ypNyAlkL8EEBsfdYE4NWmMjgZ90w4JWTkgf7IPf2xTAns9w83POWJHakMmlVZEKEZ/GldCKrR
oGAnRGBIw7KDz7+h96YEkyIiPhFGcZwMZoAdboFzJjaSMbR0oAeuQuP9on9aAFVflAyOAKAIpeJ7
fn+M8/8AAWoAlf7pbnjnpQAxSBCgJGSB7Z4rWkveuY1muWw0qnUqv1xXUcpHLGzMpUAgDGMCgQQR
ESgldo9gPyqKkuWNy6ceaVi4wAAGOcjNcsTsktiGu04QoAKACgAoAKACgAoAKACgDRBDld2M9h6+
9cZ3ED5/tGLGR8j59+VpAT5DY3YxnjPemAjg844I6HtSewDQ/Y8YPBNStguPHHPf2pJXGNk8wscK
jFfbmrTWzZMr7pEc4+SMlfmJ6elaUlZuzM6myuivfSlJ4cA52NkH0yKyasrmyd3Yc2DBu3c4zUeQ
yPnZnd2zRsIjZ9gOTxQ0rjsIpzhuM/lRZBYqRyOJrgiNMM+Qd2P4R7VYFuBgqM205PYYPPpSGOLs
QD5L/iR/jUuKFYfv42tEzE9RxzTGUJnmilaMREptDDecbcZ79+3FUItRiRh/rOMdAMfzzSAFhnVc
rKTk98D/ANloAcyyhWZpGyOuCD/SgCtcQyP9ncXEgIcHoMDg+1AE7tN5TAkYxjdj/wCvQMV41kx5
gViPUV10l7pxVbcwn2eH/nmv5VdmZ6D1UIu1RgelMNBwBBySRXNWa3udNLTSw5hzkZz15NZ09WaT
egyu04goAKACgAoAKACgAoAKACgDRU4K4OeM8fzriO4hf/j9QdW2sR045FFwJCxwCOeexpN6ABJY
E4znHHH50rgKqFskMDzyaXmFhvmIJChJ3HAq1CXLzE86vYZJciKfYQSSetQ0WQH/AFaYy27kccj9
a3VTW6Ri6elmyKU+XdIzd0bIPblTWdR88UuxpCHK2+4xccngVK0RYscqgYxk0kuoDricOAcEYNOV
LqyVJSdiLcDgc59qErIohCkzSsq8KwBU/QUwLMUv7sYjABOeB05pDJOpHPHSkMG+RgAGORnIoC5W
f97cPtHzLGP5mn0E2WQT94KB26GgQgaQr8ozj0NACOzlSGCgHrxQBAzF0jDMowy9vcD1pgTOvHPY
Z9P89aQDvrXZT+FHFU+JhV3IFwfSlzJjcWhHJEZZF3MBnbnGa5Kn8p1QXUjWaVz81s6gnBJZf8fY
fnVUviCr8I0zS4XFs5zjPzLx+tb877GHIu5NVmYUAFABQAUAFABQAUAFAGipJ29hjGAK4juK85SO
4SQ8YBHI9cdPyqZSUVdie4sN7b3BCQyqwGPlUev8qSnF6AmuhMwycDk+44qxix4XIxxU20GiuQwu
WJhOM8MP/wBdaufu2Rkoe/djXYMxJQiQHqorFmwx5CeNxAPXPetaTSexlVTa3sUdXjluEjSF3jkC
HByVA+7kkjPas+rNFohEC2lptuJz5x5xuLD2wfxFAxnnFcDZKcf3YyR/KgZKZgQf3M//AH5b/Ctf
aJxsY+zale5H9pVXB8uTjsY2/wAKzNRIL6AmUMyIxfIDnYTwOmRmkMtQmSWM/Z4MhTjLPtB9cdT+
lILhmePPmQRKfQS5/wDZaaV3YTlZXAyygcJuGOQr8g+2at02iVUTZDHDP9seZCsUbIqneNxOCT2I
x19TWbSZT1LObhVXCxSdjklMfzpgRQyzrJKZYF2hhxE+49B2IFABPPIT+6tmIOfvMFp6Cdyu1s10
pQybWABADFSp7H3ORQ7oE0x5ZxDk8ELyC2e/TPfpSKLQIzkPu966V8GhyS+PUUHd1P8AWnpy6oWr
loxSD06454qklYTbuCBSWz2Fc1RWkdFJ3iBACDAxnJrWgtGzKu9UhK3MAoAKACgAoAKACgAoAKAC
gDQzgrlecdu1cKO4ztQ3SSrtOOGwffI/+vWVXYUiHT7aeGdHlYsvbEhbn6Gopxd0yUnuapfJYEA4
7gc/Wui5Q7P7vle/bvTWwxwmCfKRk4z7/lQO5UYfOT6nNSNAYgy5JIx7U4zcdiZRUtyrdEm8tsZG
1HBx9FpFDRFbp8yoqncMFQOuaALG9S7BTkjr0OD1oAVZMNxuOeeaAI5GkbGxTyeaAGxIBJIXHzEj
nv0oAfAp+bbgAMRkAVXMrWsTyu97jyoGBtqShAMAnAzQBXvbiOytJLmWMsqLnC43MfQZ7k4H40pS
UVdmlKk6s1BdRNPuWu7MSvbPbkuy+XIwJAViOcEjnGetKEuZXHWpqnPlUr7arzV+pOpI83ABOe30
FUZCozuDlSmPXvQMGjWTaXALDoR1FO9iWrmYyXoz5KQshkfmQkH+L2PfH4fXh2C5cgEoB85YwVOE
KHPHvnoa3jHmjZnPKfLK66kiqS/JyP1pe/DzQ1yT8mOJK5wd3GDxQpxegOnJa7jQTngnBHalVjf3
h0ZJe6ObIwCegFaUl7plVd5iVoZhQAUAFABQAUAFABQAUAFAFtA0+QHVVXj7vX9a4FqjuWpDNC2/
Pmjn26frUyimtRvUArptAYcHshP9aFoFrEhaYnAZOB0K44/OnuIiMspQhWVeck7Sfr39KE7DsO86
YjK7CM8ZU0J3Cw3MjZO5FPoB/wDXpjAebjqnPTigCrO0iXMDHHJI4Htn+lNagNljiLGQQQhhzlkG
fX/GnYdiaO0ER3QiCMkclYcfyNS2Ifsl6l4zx/c/+vQA9d5TG5ceoX/69AEMSuLibe47BfpigB0Y
ZtyhtoyeVH+NAFLVvOS1jSO6lQvPGjOm3cAzAccYrKs2oXR0Ybl5m2r2TevkiG80ySHTrp4Lq+lu
FiYxKbhuXAOOAR3rmcp20YUcZz1YqcYqN1fRbX13uVpriO6m0m2Avm/fBpDLBLHu2oSCxIA+8FOO
+K0qVFKKSZvyOnGrUvHbSzi92lorvpdGjpf7y1Y5IH2idTz6SsP6VpSb5Uc+IVpL/DH/ANJRfCBS
xAJ56k1sYDZI0fh1B/3hQAuyNeNqj6CgCnEmF/2TIzcdDliQaaTbshOSS1LNdyVjhbuFAgqZOMVd
jV7mc0N2b/zFDCLfkjzz057Y+nFZWne3Q35oct+pokknJOTW6SWxg23qwoEFABQAUAFABQAUAFAB
QAUAWogQxXk5A6iuFbHatxt0QstujHaXlKoOecKT/Sk0MmC7Qudx59aEA5hzzwOOnrTsBRP3CM4J
rNptMoWPAQDv3INOCaVgQ5WGSM/WqAdj5v4jj60DKl1G0rwqQVBcjrgj5W70ne2gistjcCTLSkoO
3mMc/n9TURjK+rJSZpgmtCg+YqDgfjQAg8zcQyj6igCvGc6jMCOPKTnPTl6YEkWWX7v4Z9hSGVNV
CiyjxwftVvxn/pqlZVvg+78zbD/FL/DL/wBJZex6CuZPuedcawJOOmfSnpYOhj+H4hPp9w63MrJJ
dXIBVwQB5zj5f51vQfuff+Z6uNi41Emre7D/ANIiX4LL7LKzm9uXGOfNkBA4HPTjpn8a2OQmMgc4
i3P/ALR4Xpnr3/DNACPEZBiV+OyoMA/XPX/PFXCDlsROoojj7DFdMY8qtY5pS5ndsTPtVkEE14kL
7Spb12lePzNZSqqOo+V3sIL9RGsiQpIGOPmmC4P/AOrmuSpUhOTT2RvSirXZLBI0se5kCc8ANnI9
c110Zc0EYzVpElakBQAUAFABQAUAFABQAUAFABQBbgOZWUDPyjOT9a4IvQ7VuR3Sus9qSxAMx7A5
+RveiwycY4HULwST0osA5hjgZ+gxVAVSMe4qEUNQAMcnvQBINjdeTj0pjByN/UUgIZSA8OPvByf/
AB00xDicoSVINADt2B0P5UABYHs2fUigBu7GflbA74oegFdWRrkvzuZAPqAT/jRGSewtwgYrD0Y/
QewpRvbUZW1WRVsueonhY9O0in+lRW+Bm+GV5td1L/0lmjXIeaVNVa4j0i8e03faVgcxbVBO/acY
B684pO9nY6MIqbrwVX4bq/pfUi0tYo9Hs4rDizSFFiZwdxQAY445x6/lXbDlUVy7HXipVJV5yq/E
27+pZ8pCQzZZs/ebt/QVaTeiOZtJXZIzegz71vChbVmEq19EJW6ioqyMJScndhTEFAFW6iJIdPN3
dD5YUke/NY1YvePU1ptPSRJFAFi2v8/PVgMn8uK56eEu7zKlU/lJgAAABgDtXckkrIwbuFABQAUA
FABQAUAFABQAUAFABQBch/4+Dzj5QP5156O5bklwMspz0YYzR1GxH/1eclcZ7kZqkBXUsTncSenW
lcdhMBmywJ570ANOM9BnrmgAwOSR1GfpQBInPApMY2U7QhbGN/8AiKEISQqtvJJjIVSeOp47UwAc
jPXuKAFOO5wR6UDIrpVkheJ1GGGfp6VXs7wbMZzs+Uz7a3xck5LBVYZx1OR79qzoQutdBt8qvY0F
wCQp5JH8qo0RQ1xiui3T7sbVD/kQaxq/AzqwavXiu5pfyrmPKM3VhLNHb2iStELuUxM6Eh1Gx2yp
BGD8o5qt2ondglFSlUkr8qvbSz1S101Wpct4Y7W2it4l2xRoEUFixAA45PJ+prqjolFCqVHOTnLd
6jiBniu6FNRt3OKdRy06BWhkFABQAUAFADTnr2NcGIqSU1yM3hH3dR1d5gFABQAUAFABQAUAFABQ
AUAFABQBbhYfaBz27158Xodq3JXcOZBtPysBn8qdixACxAHOODmiJJWPXqRgUFCAZ4B57mgBjFgc
D9alt9ABBnqxpgSISGPJpsCK8ULGhGf9Yn8xSQErc5+lMAIOQy8g1IAFUnJBzTAhaQu7wplQpw7D
r9B/n+eQMBCAl7EsagL5bj24K4pdAJOC7cEdDQBmeInQaDqILgN9mkYAnrhf/wBVRU1py9DrwP8A
vVP/ABL8y611ArhZJ4lfGQrOOlc11c82NOctUnYqag7yCyubSI3fkXBdkhdckFHXjcQP4h3oT95N
dDqwnLBzhVfLdW1v3T6Jvp2J47qeRCX0+5i/32j/AKOa66FWLnZoivCFrRqJ/wDgX+RBPc6gufs+
no/p5lwE/kDXdKU+kfxMadLDv+JUt6Rv+qIhca4f+YbYD637/wDxqp5q38q+/wD4Bo6eC/5+S/8A
AF/8mCza4X+aw05U9ReuT+XlCner2X3v/IHDA20qTv8A4F/8mWdOu/t+m214FCieNZAAc8EZFVTn
zwUu5hiqPsK0qV/hbX3FknFWYFae6+zuN8TFTwGDAc+nJFctTEJaSTRajqPhm+0YbYyKB0JBz+Rr
noe9UVzao/dJ69I5goAKACgAoAKACgAoAKACgAoAKAJAfLdSc8A8j6VwUlzOx1t8upKhcoGaXKh1
GPX5hW1TlWiWoqfM9W9C9t6lQBn2rI2M85L9BnGOvWpAYGbcoGM9OPrTAHj3cE8+1S0mAoUL0Hv3
5ppAA3ZBBJPT6UwIrk7ysOdxyGOD0A6fr/WgBd+ZNm4gg9ajnV7CHxZ2A7j0xVuzGQXUxgC48xmc
4AVC231JA7UWAI5IoozuExU852MSffAGf0oaAjNxA1zC4E3AYcxOBzj1HtSSYD3niSQ5GXwAFxyT
k9P88d6LMBHgE0Ti5RZAwIKtyoBHTHeh7WHGTi7rcrP4e0ee2aD+zbTymDAqsKjqMHGBkHHcVk6c
LWsdUcfioyU1Ud/V9CHwzYW9hpbpbx7Fa5mZhk/eDleM9OFHFcsUldIzzWvOtiLzd7KP3WT/AFNl
jhT+Vb4eDlUVjzG9CKvYMxruqY3MBk4GaAKep3Rh0q7kgKtMsTeWoPVscD88VFWTjBtbnRg4RqYi
EZbXV/Tr+BbhiSCGOGNQscahVUdgBgVSSSsjGc3OTnLd6j6ZJVuZwr7ElgDqMssj7SAcYI/OuTEW
n7vY6aUNLsmiKOgeORZFPG5SCOOO1PDUlG7RFbR2JK6jEKACgAoAKACgAoAKACgAoAKACgC3FCJs
5Jwoxx61wwbWqO3lT3HSQiCJVDcGRR8x5zuHSm25O7KjFRVkPa6EbsjqzAdwP50hlFZHYkC3cgdy
VA/nSATqvC8+lADgSVOFb2zigBpaXkqqk+jHH+NGgCxzXALbooxnuJCf6UlYCssdwbqQvzjBX6f5
zTGWWDjJYcDrzS0YiKTzYLcbCu84ABGcn86fUAijnjZnkdHZ+ThMH6A56f40XAnUbuQCvsf/ANVH
MKyKd0H86IBjgnp3PancdiaG1VOWYu/qTyB7VLkAtyCtrNtYhgjFT15xUNuxVNJzSfcp21pE1nHI
893IXQNuNw+eR7GuNTk+oVsVUVRpJKz/AJV+qLkEdvaWqxRDaiDgck/meSfeqgrtI5KtSVWTnN3b
HE5r1qNCNPVGLYlbiI5ELYKnBB9TQBQ1GJmNnCCR5t0n8R/hzJ/JMVnU1su7/wCD+h1YTTnm+kX+
Pu/qadaHKMdXYjbIV9eAc1Mk3syotLdDDa3Ej7/tSBCT8nlZ47D+Vck9HqdcJJolVSiKhYsVyN2M
Z5reg00zCvuLWxiFABQAUAFABQAUAFABQAUAFABQBetJECyHOQSORz2FcCZ3RJJmjZotxxhsjPHN
UURSxqwZwWLE9ByKncCuQVYkkgkd6AEGA5DZwRmgBAB0APB9OtADh2B6e/rSsAKPl5HeklYEiFEj
S9mdFUSSKhZlHJxuAyfzqgGyO6q8jE7Bk09LDCAtct5zoyMOFRhgqP8AE1LEWhyBz7daQB0+7+VA
FcNE0xZ2jGz5VBb8/wClPpoBKCjfdKk9eOaTAbMhaGRQSSUIH5VL2Kg7STKejSLcaFp8m4ENbRnI
/wB0VxL4URjocmJqRf8AM/zLRXHfNbYanz1EuhxsK9lJJWRAUwCgChMPN1u1XdlYYZJGX0YlVU/l
vrN61F5f1/mdcHy4ab7tL5K7f/tpfrQ5AoAVWKnINROCktSoycXoKxyPxrnw17tGtbZDa6zAKACg
AoAKACgAoAKACgAoAKACgDRCjjArgex39SO4CiS2IIz5oyPwNAyzgIMZzmlsBUvWxIMd16VE6nK7
WE3YhLENnr9O9XYY0uADhs49aG7K4Co2V+YgZ9qmEm43YJgSMABxn3qgISR9qHun9T/hTAVR57Bz
zEp+X/aI7/T/AD6UATquW3EH8DSYBk9vzpagRMqqC4J3dMbiM0IBfKRAuYlYjqxUevNF9QHhUHRQ
o9AMUmBn6rFeuIWs55Y0Vj5qw7N7DHBBcEcHtx168c51FNr3WdOGlSV1NJvpe9vwaf8AW3ZujRQD
TYrqCSaRbwC5zMFDfMoPRQFHGOg6561yXvr3OfMJzdZ05pJw93S/Rvvd/eXj1r1cFT5Yc3c4JCV2
EhQAUAZ9n5c2r6jOoO+Py7Zv+Arv4/7+/pWULOcn6L9f1OytzQw9KD2d5fe+X/200K1OMKACgApJ
JbDbb3CmIKACgAoAKACgAoAKACgAoAKACgDU27nI6YA/rXC1dHf1ILmPDQMeiyg/oaVrDLBIxk9Q
aV+4DZNhUs0efcgU2k1cCrsAUYABpFEZds/xfhQA2YMxU45x0FJ3toSxqrkZyD/sjrSipJ6sWpWm
SSS9gXG1CGVz044OP/r+5qxmht24Ax9AaQADz7e1AxjnYmQpP0oEQJIruASBgZ4/KmBOCc8HipAU
kntye1DAo6le2ltF9nu3lXz0YARo7ORwCRtBIxuHPuKznKMVaTOjD0qk3zwS0a3aS8t9OgzQ/M/4
R/ThOhWUWsYcFduG2jIx2+lccXdK5zY9xeKq8mq5nbr179S3XvUockFE4XuFWIKACgChpDGSxM5U
AzSySA+qlztP/fO2s6Wsb97nXjVy1eRfZSXzsr/jcv1ocgUAFABQAUAFABQAUAFABQAUAFABQAUA
FABQBqgFZOucjvXF0O/qJMCY8Ej7w6D3pMY2UMUJWRVOO4z/AFpNAVpzMoUGRMHp8n/16SAjy5Ay
evoMUWHcjZ5FyMnpwQKAGB2KqXLFx1yOla00uqMqja2Y9GO7ALc9xSk42tbUcVK976DJyRPbkD5C
xX8wf8KhFlgH0xj0xQMdjcaAI2KqwZ3VQeBk9+v9Krm93lRnye9zEcUkaqzsVXOWJyBge/8AjUlk
qkNhlOQRkUgK2oT3dtZtNZwiadWXCdeCQCcZGcDJ6iom2leOrN8PCnOpao7LX8tOj/Iz7eU3M/2y
8uHNxbpt2yQ+SqbuSwBPfGOSe/qa5Zc02k9wxjlThyQSUZa73vbz+fY00k3xhgwZWGQR0xW2Goc8
nzbI8tuwteuQFABQBX1CdrXTrq4Qbniid1HqQCRU1JcsW0bYamqtaFN7Npfex1nALWygtwciKNUz
9BiiEeWKXYVap7WrKp3bf3k1UZBQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAGouCQQO1cNrHeK3
ToM5GB+NAxHIAI2jJFFkAkkAk2/NjHtRYCoVKEqT0NIBhHf9RQkA0IzyYAzx06VUZOOxMoKW4sbR
GVoG3q+SO3THX9KjXqVaxWu+JDA/3QRuGevQ/hii+oyS1Dtbxl3YkqATgc+9MRI0UZ67sf7xoAhl
hiOIm+bd1DEtx+NJXuBKLeFAFEMYUDGAoxjpQA9FWNcRqAoOQFGKAMo38zZJJHOCvkkn6cH1Fc6n
eWpk5MkutK06+lE13p9rcShdoeWFXYD0yRXpewpLeKf4ip47E01y06korsm0vwKem3D6dpMFvc2F
1ELaNYsqglDYGMqIyxx9QKij+6hZxa/H8joxVNYjESqU6kXzNve1r9+ayv8ANllda03YryXccG7o
LjMLfk+DWvtodXb10/MweBxF7Rg5f4feX3q6LqOsiB0YMp6FTkGtE09jllFxdmh1Aihqw8y3gtw+
1priNR/tAMHYf98q1Z1dUl3a/wA/yOvBvlnKpa6jF/irJ/e0X60OQKACgAoAKACgAoAKACgAoAKA
CgAoAKACgAoAKANUFWIAGR+NcNz0BJNoX33D+dADeMghc5HWkApJ3AgL6UXYFVyNxPIOTnNLcCJu
ASTQtAFSQRSKxG4kf3sYpTny6i2ROB5jB48Ix9s8VUXdXGQXUSyTuejccj6CjRjuR2wxb4z0Zgfw
Y0AS9Pf6UARoS0hJHQY6cUCJB05/CkAYHTNAFT7NB5hfyoidxIYKM5z/ADzW2HppJyZyVn71iWuo
yCgBCAQQRkHqDQCdtinJo+nSEsbKBXP8aIFb/voYNZulB9DqjjcRHTnduzd19z0GtpYCBbe9vbcg
/eExkP8A5E3Cj2XZtfP/ADuNYtt3qQjL5W/9J5Q/s+Vrq2lmujMluS6B4wGLlSuSRgdGbjHej2bu
m3ewfWYqnOMIWctHZu1rp2s7vdLqX60OQKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKANIEhvl
/OvPV7noEcwBUMTyHX/0IVSAlPMnUcUuoC+3FAFORGLscE89hQBGFdskowwOOKVwFkjZjkKTtB5p
NXi0JgskiRY2DPY5rOLmlawtRu0hTk5z3zWkVZFIiR/KkMTjqxZG7HPJH1qgHvNlSATk8AGgB8YY
R7ce/WgBeeeKQC7WOSNpx0yelAMgUYBHHU9DnvXZR+BHFU+Ji1oQFABQAUAFABQAUAFABQAUAFAB
QAUAFABQAUAFABQAUAFABQAUAFAGmhIVTj9a4Ez0CGVw0eMgksvf3FCAn2lcnHP1oAVG34Pb60XA
jcb277AecjrRbUAIXk5NLQBkilACD1NPYViBmJz/AFpbDGnpwaYEE6nyW24yvzAY645/XpQAkC+Y
FkyCvVPcetMTZZHFJ6jSsDcfd5xSAAu44Ix60mJkC4AxnO35fy4rroP3DkqL3ha2MwoAKACgAoAK
ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA0ZASpwe9eeegROiqpAAJBBBx70wJy5UMcce
9F7ARlmbCqo9+aAHZQYUgYA7UXAAqsTgdB3xSAQAFWOBkD0pgVNuVPy/Wj1AQAE+5phcr3LsQUX7
vc0WC6Ibe1ilUm4jVpQGiJ/2M8D8sUMOpdjhSCPZEoUDoKTYA65jI3MCQRkHkfSgCuIb0Fn+Zt5b
KicfLjGMfL354/xpaCJmADuB0Bxj04FbUJe80c9VdRK6jAKACgAoAKACgAoAKACgAoAKACgAoAKA
CgAoAKACgAoAKACgAoAKANAcDr+orzz0Bsm0KwVufwpgNKksyiR8/wAR4/wqbgNVTHj96+Av3QBn
+VDdlcQ4IJUGHkG7v0I5pRaeoCfZsEL503HUhuT2qr6jFRUjkdQ0rliWO9un09qXMm7CuQgFeMEC
mMYQXJUAgDgsDTAcQANuCB060AQooDyBc539P+AihiJ/uhSeFbv7UhgB5rld3HTIqXqrCZIi7Iyu
ce5pRXKrElXJPJyM8812YdLluc1V62CtzMKACgBskixRl3OFHXjNADBcxEgB+vHQ0XFcdHMkoJQ5
x7YoHcfQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAaQJ4ycZ71553kcqk7x7YJHamMeFweG
4pWAbwcYzn2oYgOfMyDkHtjpSAcAeu4cmgBdhK7hgnHFO3UCsX3K6LkN3OOlPzGRpH5SEcn3NTcB
uSOTg/WmBLZqrtMWxnzPy+UUxE3kgnaWUr2JGaLXBabjWUx9No+g60mkgZXaRyjfOdpPYDpSinJ2
M3KyI69CMeVWOVu7uFMQUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAf/9k=
</Data>
</Thumbnail>
</Binary>
</metadata>
