<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260122</CreaDate>
<CreaTime>10190600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>CDP_LMI</resTitle>
</idCitation>
<idAbs>Low/Moderate Income by Census Designated Place. Boundaries are from 2020 Tiger files. LMI data is from HUD 2015 ACS (American Community Survey). Layer was manually constructed because HUD CDP rest service was missing Clermont and Hamilton Counties.</idAbs>
<searchKeys>
<keyword>LMI</keyword>
<keyword>Census</keyword>
<keyword>Low/Mod Income</keyword>
</searchKeys>
<idPurp>Low/Moderate Income by Census Designated Place. Boundaries are from 2020 Tiger files. LMI data is from HUD 2015 ACS (American Community Survey)</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztnelvnNd1h3/ch5zhIu6rRMnUSimOYjmuk9ZAm6COCwdF0fRL
P7V/QPuxH/qf9HPQIkbQoGiBFmkDx0qQWgG8SGVsS9ZOUdyXGQ73ZaZ4rniUMc1NNmc47/A8wOvZ
yZmx3ofnnnvuuZXZbDYrxzkk+Oe0sbERjkwmo83NTS0vL2t9fV1lZWVaWVnR6uqqqqur1dHRobq6
OlVUVPj37xyIyoM9zfk6JzAHJytHqcNnrKqqCgcgrVgsFgRWXl4exMV1JBWPx8N9jnNQXFh5hJM1
lUqFCKOyslK1tbWqqakJ0cVxASHxee0zIy/H+aq4sPIIw6GxsbEwDDJhcSQSiRCBIC/udxznYPjZ
ksdhIMOfubk5tbe3B3nNzs5qbW0tRBn19fXq6ekJl47jHAwXVh6GgUiJqGpxcTEkmE+cOKHGxsZw
XzqdDvdxSS7HcZyD48I6ZJLJZBgGzs/Ph+FfS0tLkBiCWlpaChIj+rIZsoPA68iFcclQkteSEzoO
SXzHycWFdchYghlJkWxHWkiMWTES0NxmdoyhoM2k7QVDyampqXAdQRGdcbuzs9PzX86xw4V1yBA1
EQGRUEcuSApZWZLdhPUiuTDLgzG0JEIj2iIfxs9CjiTu+T07RVwmTp7De/AyAifKuLAOGYTQ0NAQ
jq+L1W6R+0J6/EykR9Q1MzMThEUC36SFkLhuUiJHhqyIyBApUR2v2U1ujlPsuLCKHORikRYgLGYX
SewTeXGQH0NilEv09vYGMRFZIbVHjx4FOSG85ubmkFMjwkNwLi0nariwIgiiIZJqbW0Nw0RkhcAQ
1OjoaBAaQkJkRGcDAwMh+mIoeffu3SCvrq4utbW1eR7MiRQurAhLCylZ4SmXCwsLmpycDCJiCEgk
haiQWVNTU7iPYSWzjQwTkZ0XrjpRwoUVAYiIGBIyzNstaW5LYLhEUFbvxTAQcdmSIK4TaSE2LvmZ
3M/v8CGiU+y4sCIAUdBuwrLcFo9xkGi3oaDVexFJ2eu4RF6Ii1oxnsd18l++zs8pdlxYRYBJZ7cI
xxLvCMmeb4Iif8VtxDM+Ph6KVvk5p0+f3jFHxWPMFJ47dy4k7CcmJkKdGGUT5LUcp5hxYR0xmxsb
2lxfF8qqjsX2HJZZrylKFajDsrWJCI37nz59qsHBwZB0J2Laa/hIlEX0RXQ1PT0d8lqOU+y4sI6Q
9dVVjX/8scY//FBVTU269Bd/oara2h2lhayIhBjGISkS6ERERFkk27mfiIqIC/YrELUaLytvsNc5
TjHjwjpCkmNjGv3f/9XszZvq/LM/27XJH9ETURCSYtbPCkA5kBXJdRZXs1yHISHJdCIojv2wglN+
B8NKXuPJd6dYcWEdIQtTU5q/f1/rU1OKNTcT9mglnVY2k9H68rJW5+dVFY8rxprDioqQFCeBntuS
hmiLA9EQVSEwhoZAnRby4X6rbt9e5Y6wECGtcBhiIr1ICiubfTa83thQJbOl3na5JHFhHRGZzU2t
J5PaSKW0kU5r/vFjJUdHlX78WBtLS1qantb88LDiPT3qfOMNNXZ2hohqe/9zKxolQkI4DBGJsrjP
+qhbvZaJi4jKfpa1Kia6otSB5Htk1hvmSIo84NLsrJaTSTWdOqXa+npVeHPEksOFdUSsLC5q+sYN
zQ8NaSOZ1MOf/UwzU1Na+MUvtDY8rDLWD7Ikp61NLZcuqaqnZ8fNGoiOyF+RNGdZDnksqtmRF9GW
CY3D8lQk5EnOU0TKUJI6LCTGz4jSniRIf35iQvOTk1qYm9PURx9p/s4dnfvbv9XJK1dUm0ioLCry
dQ6EC6vAEA0spVIa/sUvlLx+XZnRUayj9VRK6ffeU/buXVWOjEgNDSrr7FTNwIDizc2q3KUVDdJB
WkRWSIdcF8n4M2fOhHWDYGsRrRyCHNfQ0FAYMvIcZguJxKxsIgrwWZZTKX38T/8UvreN5WVlamul
xkbd+/d/V1NnZ5jAqHJhlRQurAKxnE4rNTam5N27mvr1rzX//vta/vRTlU1PqzweVxmN/Ui6T0+H
Eof4lStq/8u/VOP580oglK1arO35JRvWgQmJiIkoaqf2yzyHIR+S4yDqsjY4kRkK5kRYm3R1nZhQ
ZXu7Ov74j9X26qsqpzNFS4tvH1aCuLAKwNrKiiZu3tTT997T/AcfKH3rljKPHwv1hGNxUeKw/ymn
T6vxtdfU++abire1KVtRoal797SSTD7LQdFtobZWDXQeZReaHInZdlq5EuM+SiKsUp58lTUa5DEW
TXN/1Do4EEH1/OEfKs5uRF1dan/9dbVevKiybFY1lIdETMDO/riw8kxowPf4sUZ+/nON/fSn2vz8
8+ei2vH5RE1dXSpvbdUa0VdlZcjTPP3v/w75mVD02dwcTtCzb7+tpr6+L8yIkWjfHnVRaEoVPDJi
NpHnWC8t5MVtfi7rDqMirPBZ4nH1f//7Wrp2TVWxmOoaGsKlU7q4sAowbBl5/33NvPfec1nt+5pM
RtO3bmn2d79T83e/q43VVc39y79o9cMPn0ut/JVX1HHlihJdXarOERbDO4aCtiTHlu1wgpNg5zGi
Kh5n2MjzeU7u3oFRgQgKSXE4xwMXVh4JW32xg86TJ9qYmTmQrHjOxo0b4VBTk54ODWmTuqKHD7/w
+jKW8zDrt21Wz5bqmLAsqrIdmZFW7k7Uvk28EyVcWIXY9iuZ1Oby8ou/OJkMRaSKx5Uhajp1StXd
3Yq1tSk+MKDarq4v5Wm257BMYty2HFXusC8qQ0DHARdWnkEHNb29qujt1drsrMrT6QO/NkPC/dQp
bZKbaWpS+9Wr6rl2TTVNTappbFQDtVk5xZHI0WYKc9vOUMbA8I+8leNEGRdWvr/gqiq1XbumNMWc
1FcdUFhZShKIoC5dCrdr+/tDxfuZ73xnzwpu6rLIWVFMSr6KhDrCYih4kLWFjlPMuLDySMgb1dSo
9aWXNNXZqeSLLBWhCyjdQnt6tProkVra28PynL1kZb3a6evOMhtLqHPYvoiOE2VcWAVg8tNPlfrt
b5W9f/9AiXfgebHGRvX94Aea+e1v1X7hghpaW/d9HREWOasnT55oZGQkrBNkGQ6XLiwn6riw8kzo
VzU8rLUDzhIalU1Najh3Tv2Dgzpz8aKq6+pUecAaIzo6ICirr9pp0bTjRBEXVh4JVeZra1oeGQkL
nPd8Lv+pr1fZVsKcRH3LtWtKNDU9i4xeYDYPOVlhKPhMoFMquLDyTJi1Y0OI9fVnt3MfpI1xfb2q
2tsV6+tT3cmTyq6thYiMBdEr8/NaZxnNLl1I98NF5ZQaLqw8Q51UGRXk9GtvblYVi3IbG1XZ2KiK
+vqwxCZ+7pwaLlxQ40svKbO2ptmhIc3evq0V+jul06qsqVGFJ8wdx4VVCGFVJhKqOnlSlQMDavzO
d9R44YLiFIA2NipOvmnbhqYd588rPT2t9OTkCw0FHafU8Qgrj4SlL+XloaNA6ze/GdrEnOjvDy18
Q+S11a54e7U68mpqbw+zgqGlsUdXjhNwYeUZhNMxOBhmCxnacRwkt4SkfBgYLSgnWVxcDIW7THgw
U8v6Tc8lHh4urHzD4uMdGuk5pQcb03LQFJE/ULSrpsTEVxgcHi4sxzkk0ul06KNP8S7LoeiRz3Xn
8HBhOc4hYu2p6Zrhw8HDx4XlOIcEQ8CJiYmwLIq8FR1cfYXB4eLCcpxDwjq40j9/ampKJ0+e9IT7
IePCKmJI3Fo7Y1+4XPwQTZGzOnXqVNg+jfY+HmEdLi6sIp4iJ4nLrBO7MTNF7v/4ix9mBNnvkdlB
/0Nz+LiwigjbpZkuC8wwsSkqQwv+apdUxwV6dG1dllpRrPXJL5n/V0WGC6tIFkgjKyTFFvNEVrb9
Fn+x2fA0d+lO5D/r6qrW6HFfVqZYff0XtilznL0ojbMgwtg2XERSJGuJpnp7e0PuiuEguSumykul
WpruE+NDQ3ry/vuqqq/X4J//ueoitB+ic7S4sI4IIiqKC1nKwTCQ293d3SFXBciL+3p6ekomugI2
hR2/fl1j//zPqurpUd8rr6iaxeHeb945AKVzJhQ51ludmT+iCXZiRlbIiCEfQz+iKyIqIiuiLjaO
4LFSij74LPQHW5uYeLajz9hY6FxRfuLEnv3qHQf8X0iBIIpi2QZ5Kiqguc5QD0kx/W27LvM4j1nh
YSnJCipiMVUhZiKqVEoT//M/yi4sqOPqVTX193s+y9kTF1YBILJi2y12slleXg7R1E4LY3keSXci
D6Ira3FcKqytrGhlakprc3Mq29xUdmREoz/+sRafPg0iq+/pcWE5e+LCKgAk0MlXEVmdP38+iMl2
Yf7Ctvbr62E4SGTV1NRUiLdWMJDw1KNHuv/OO5r4138NsuLTl62tqZYW0W1tLitnX1xYBYAEOrmp
3OLP7UM9hEU5A1JjeFhKle1h56BUSiMff6zU9LTU2MjCO2WnplTR3a2Wl19W06lTnsNy9sWFlUeQ
ELkroiuGfkRNu+WkOKlnZmZCgWipbSnPZ47V1qr/1VfVeeqUZl5+WaO//KUyo6Pq/dGP1P3d74bS
Bm8H7eyHCyuPsmIhLKv3ERElC7vlpMJ2YBsbIcJCaqXW8A1hVcdiajtzRtnTp0OuKtbVpUwqpe43
3lBDV1doG+04++HCyhPIiqU15KQYEpKXQkw7RVgmLOuhVEp1V7nYMLexp0d1DAnZ3ZrdhEpo+Ovk
l9I8M4ohZ7OwELaK7+vr09jYWKi5QmI7Dfd4Po8hK3JcpVbKsB3qrbzmyvkquLDyAAKiSh35UL5A
iQKFoOSydhIWkRX1VyTlSzW6cpzDwM+OPAkr7JKz1ceKtYEPHz7U6OioOjs7v/R8yhmQGW1JXFiO
szsurDwKy0oYSKQz3KNolKEfSXUiMCIrZhHJc/EYFe8uLMfZHRdWHoWFpLSVWKYDJWJ68ODB86JR
kxMRFkt0eF4p1V85zmHjwsoDRE5EUERSYUq/ujqUNTAbODw8HPJV1k6X6AuZketyWTnO3riw8gAR
EwebEtiMH8O9Cxcu6Ny5cyEB//Tp01D2gMSIrEqt9spx8oELKw9YTRUzgttLFIiiEBQbFTArSE4L
aRUr1hLHcnIeBTpHiQsrD9hW5ZbD2g4nPSc/suI6kVgxLy2iywRRIVEiQ9hS6yLhRAcXVp6ExbFX
a2MKS4nCiLKKTQDWY55hLQWvVOrzPim94D2Tcyu19Y5ONHBh5alolJN+twiLx5gxtG6jxVjZjqh4
j1zyOagfY10k0uL9MolQjO/bKW1cWHkQFuy3zZMViiKsYoMoigXbjx8/DvK9evVqmBRAWiw34jGu
f9WtrHJzdi4950VwYR0ynOCw18lsO+XwHGuNXEzvn4p83p9tBsoluTZrPPh190i0glk++/ZGho6z
Fy6sQ8aGg7ud0JYf4iQtthk33hcJdiYDeH/ctv0RkQvXuZ+o0NY/5ubfGDruJR8TFW2gKelgjSVD
y1LaxszJLy6sfOwKk8mEHu5UtXPbuohyiaQ4cYuxlMFmBXnPFLUSWSErky+XYaebVCrcj8DsdbbU
iM/JbCIHYrM8HhJk70UmG8iL8Vx+B4K0qI3nF1vE6RQXLqzD/kIrK0OZgtViWa92K2EATm4ik92S
8kcFoiJXReSEOJgNBHvfSIXZQivbABLxfE7gEulYq2frnsrPQoQcNqxEfnxP5MO4zXdkEnNpObvh
wjpkOFE7OjrCwUltkQgH0uI295NwL7ZyBkAkiIX3CbnDVkTC+ybyQm58JiJJBIeYbKcfyiAY9tEH
jNcjQS5Pnz4dkvXWagdh8XsQFr/TNo/1ZUrObriw8oidrByczMUOImWIZlLaKceG0DhsSRHPpfyB
z9ff3/98QTePIyU2jCWJj8CshIMo6uTJk+Hnk8Pi9xKVWZEqP9NxdsKF5XyJg+TXrNsEkaQN9XIn
GnicPBaRF11XGe6Ru+JgHSWPE2ExxOQ+5IbAeG4hJiNCvRxDdpYcbeUWPfFf/LiwnB2XDdlJbSLi
Oid07kltOS8redh+wls0xnMsIkNiCM6Gx0ReT548Cf3A2tvbv1a5xIuQnpjQ048+UvrOHdWfPq3u
V18Nm2GUF+j3O18NF1YBsdk0Tlg7mTnZDxJR2FIZyFfuC+EQ8SAPkxXv1Vo8M0zMLXS1oRyX+3Wb
MLlx5Ob2rJIeuKTcgfeQ72hneXZW4zduaPY//kO1/f1am5wMO/icOHNGVd45o2hxYRUQTn5OcE5S
hlMcyCd3+n+37cJIbPM65MYwLB+dSfnZLG5GGrxPfq+tJeT95S7SRqCWo7LeXi/ye0xevJbIip/H
Z+L3FaLkY3NpSSsjI9q4dUvpBw80PDur1elprf7Jn6j57NmwT6Lv5lN8uLAKBCckM2okoK1WiyiD
aIJZMU54ywtxaW1dkJwJhJOZmTpeQ9Rz2FEIIuF9IBLqpYi0ECpLdF5++eWQj+J9WaX+vXv3wvsi
2c7rdtvGbDcsMW+Lxfm9PT09ec1hZbdyV6uLi1pPpxXebTqt5V//WsOPH2vu00/V/1d/pdPf/76q
mSQosuLe444Lq0AQpSAshlXMjAERDGvzPvnkk+cLoTn5ubQdoxEcexp2dXWF+0wkJrh8gBR5n0RV
vEc20UCSVvXO/VznM3FY1T6f60UaEdqMIeUPtgRor92xD4OldFpTDx5o/M4dZbaWUQEx3cbwsJLv
vqvPGZaeOqWOCxdU7V0pigoXVp4hirATm5OaaMqGczYrxn1WQc7Ja48hjoGBgefFlwiP+229Yr6w
5Doze/xO69zA++Z9IFQO5ML7Rl48zud40c6p/Jzz588/286eTVXzKCv+X0x99pkm797VcjKpykRC
q3zXbW2KX7umxOCgqltaVB6Pq45LT8AXHS6sPGGboyIhTmhOZGbIchPmyMdOfktcW8Kb3A6RDK+x
mTMbKhYK3hdRE5Ed78sq0C0hTy4NSXH9qy6r4bPxGfMN0dTCzIzGf/lLLS4sKBuPM3sRIquys2fV
+fbb6nz9ddUQudLSurXVN3stQlxYeQBRMXQjUc7JjqSIRvbqfYW8bA3eQfY7LAS8bxOszWwS3VlJ
AoLi8SjsVo1Ul9NppR8/1sr6usoaG7U2M6Nsc7OyiYQaXnpJbefPq6YI2/04v8eFdYjYycwwigO5
WEL9MNYN2hq+o9i70KKnYmyJcxBCWUVdnWrPnNH83btaefRIGh9XOUuoZme1nkxqY3VVVVvD0mIX
8HHFhXWIEFGxjZcNl0iW56MQ0k+mF4d8VFNXl0798Ida/ulPtZ5KqXJwUGUM3W/cUOrhQyVZ+0hn
DcotimxhuvMMF9YhgaRImNtGDcyqHbasbPp/v75Tzo7/g7Sxvq7JGze08MEH2nz4UGVVVcpOTal8
dlZzN2+GRHy8tVV9P/iBui5e9KR7EeLCOkSQCLNlDAdNKlxyWJ7HKttzq9xzq9736sBpQ5Vi7KVV
7CCrsc8/18y772rt1i2Vz809e2CrFmvpN7/R8scfa/X8edVfvqzO8+cZ/4anWO2ZDxWPHhfWIcE/
ZvpHISfKAUw6Vvxpi2tzSxJMYLn320lhuSKqy20L+9znvmiRpiNtZjIhT6WlJZWn08++760vZnNk
RBW9vappa1N9R0coGKXAdJGi3cnJMMvYcemSqrw76pHiwjpEyFlRgW6zeda8j8MiI65bd05rgmet
iLltzfAs6qKSnKJRq2+yhcbbye36aQ3yXGi/h++iOh5XOcuLdtsvsrNTtYODaujt1cL0tBaGhzU9
NKSZe/foXqhYU5MaOzvDWkOvgD8aXFiHjInG+CoLlW22kWLTzz///HmkZe2Ldxo28hqGo9RLUT7B
85GcS+v3S3KWp6eVmZxU2dYfhaB91kASsdbWaqO8XIsTE5r85BMtPnmi8f/8Ty1+9JE2WKB99qwe
9/Wp79o1NZ48qZpEwqV1BLiwihCER3U70RRr6xARi4yJnojgtnczILpihvLOnTthWMpyHpa5sMzn
RSvPSxaG2Szgfv11ZVtatDo6qjV6cPX0KDs5qWpWG9Bo8Mc/Vvr6dZXNzWljbEwM1DOxmNbu3NH9
f/xHTf7RH+ns3/yNul57TXVNTUW3kUip48Iq5iFMdXVYx2f1V7n90HMh8kJYiIzhIxEW0dnt27fD
rCXy4vIo6reKhYrKSnWeO6cTra1aXVjQ6vy8Uk+eaOSDDzS/sKDYmTPayGS0NDKiNb5rdg5Kp5Vl
3SfFpauryjx9qoXr13VndlaTb7yh7u99Tydfe61gPbwcF1ZRw1/v/baER2LWsZNojKGgVaBzP7Kj
2wKRFzk2i9yOG+ScYkxgJBLPOmWsramyvl5Prl+X2CMyHlfl5cuqaW9X/KWXNPab3yizuBgS9OH1
lKn8wR9o8/59Ldy6pWxlpeIDA9Jrrx31RztWHN8/uSWC9criJERKtj4RYTF8tO4OyMs6LVgJBVgb
4+MksTDbyiwgEyIzM2q6cEFtly4p1tGhKobj7e3KxONaKC/XyoMHIYdVfuKEGv70T5X8yU+UJRfG
esTNzWP1vRUDLqyIY+sVcxdJAycS0iKHxVCR2jA2eEBgDA15HJGR5yIiO24nXmZrlraup0f9b7+t
rm98Q3UnToTHNihDefNNzfT1KXX7tlL37mmNLcg6O5VeWQkCo9NDdZ5b4ThfxoVVAhEWJ95uQ0dO
KNsfkOVCuZ0khoaGdFxh+Q39rhr+4R9UzxKqnPweZQtd58+HnBdDx0cffqjf/exnevpv/6bN8fEw
uxhrb1diq6+ZUzhcWBHH6rpeZDYQYdleggwfj2MynrWF1bGYKokud0mahxISViow9HvyROvvvqvs
/LzU1qbanh41bP0BcArH8fuXWmJY1fuLSMfaNZusGFJawWruTjilPtwhj1VxgKFwVX29EhcuSAsL
ytCvrLpatadPKxaBvSZLDRdWxEE0tpvOQbEiU2YU2WYrd72cbRdPwn6/GcrjQkN3t868+aaWvvlN
rS8uhvxX6+XLIUJzCosLK+IQCVkr44NW1dv2XYiO19qia2vTzP1EWS6srcaKtFBubg4LqFmLyPeE
rHLzXk5h8G884tDKhpIFNiOlWeBBhnHMJlJMipSozSLSsl7xVMmTkC/14eCLEBajU7BbWakajzqP
FBdWxGH4RgJ9YmLieZ3VfrJBVGxuYZ0h7Pm2ODu3TstxigkXVsRBLjYUvHXrli5fvrzvUM7a1+zY
93x5OeSvjuPMoVP8+L/KiGP5JyTFkO7rDOVsl2nbldpxig3/V1kCWB8tqt2/zlAuV1i+oNcpRlxY
Ecckw5IbkufWSwuB8ZgtoD5I5GVlDdbd1HGKDRdWxLGCT6IrdpEmBzU9PR3qrBAXEhscHNx3iGdR
miXcfZbQKUZcWBGHWT0kRf+rzz77LIiHmUNazVBrZYWhB8F2nHZZOcWKCyviEA1RykAk1draGkoW
mDVkeEcx6UFzUaFH1Pr6804OjlOMuLAiDrKiCNT6X9EqhgiJqMseP0jEZENC3/PQKWZcWBGHCIr8
FUcutrMOAjoItuvOXvsiOs5R48IqUWwbsYPOEFqE5cJyihkXVonCkJAlO93d3QcWFkn649h91IkO
LqwSJXdX6Z2S68iJ4aIVidr99MhyYTnFigurRLHyBHaOJjdlu0sjKstXWQ8snoesKD7t7Ox0YTlF
iwurRCF6IlKamZkJogJyVMjJHuO2yQxI3BNh+bIcp1hxYZUo1GMhH3plhYZz1dWhdxY76HB9p4Q7
0ZaVRThOMeLCKmFhMbzj2A+ire0Sc5xixIXlOE5kcGE5jhMZXFiO40QGF1aBsNon2/TUk9uO8+K4
sAoE9VD0qaJHFbN1JMMPus7PcZxnuLAKBA31KDGgs8LIyIhaWlpcWI7zgriwCoBVlDMMpDiTvf+2
Pwa+JMZx9saFVSCsvzrS4jrDQwo0GSKS16KfFV1Cfbcax9kdF1YByK0cR0gMCxGVbVxKV4XJyckw
RKRrqBdxOs7OuLAKBOvziKSIsvr7+0P7FwTFkUqldO/ePQ0PD4elM97103F2xoVVIBjyISyiKSIs
1vkZNNnjvps3b4bSB9sMwnGcL+LCKnC7F9uWaztEXux2Q2cFhou5QnMc5xkurAJhLV2Q0V4N96zl
i+M4X8aFVSBs+yyGfDtBAt5aFHt7l8OB73RlcVEba2uqa2hQxT6byTrFj/8fLJIhIXkrq4L30oaD
ySj0oV9aUmZ9PdyuoOVzTY2oauOPw1Iyqen797W+sqKTr7yiWCLhfwwijgurQCArDk6y7VjxKIft
WmOti50vk6X//MqKFmdmNHX/vtaSSWU3NhRraVGip0fZlRVVxmIa/+wzTQwNqTaRUPfly1Ii4V9n
xHFhFXhISN3VdnLrsaiC53ks3fFIa2dW5uc1+sEHuvOTn2jh5k1lp6fDd1h15Yrqrl7V2q9+pWxV
lTYQ1fe+p7M//KHqmpr8D0AJ4MIq1Be9tTsNCXXbEt4iKXJXLI6mtIHbXCeXxW3nyywQWX34odL/
9V/KJpPS0lIYBq6vrir94IE0MkJIq0xLi+ZbWzXS2amFyUl1XLigWDyuci8ZiSwurAJB1ERbGQ4K
RZERAqOMgY0iWKpD0ahtF4+42MXGZgwpc/DuDs9YX1zU0tSU1lMpVS4tiYEzR3ZiQpmJiXA9MD+v
xV/9Kiw2nxkYUO3f/Z2q+vtdWBHGhVXg4tFEIhHkxCJohIWgqHqnkwMFpNRiAVGW5bWQGu1oSMh7
XkuqSSR04uJFrb/1ltKffabMw4fKbokrF26v372r1fFxrc7Pa21hQVkvGYk0LqwCQnSFqMbGxsKM
IBGTdXAwabW3t4eIa3Z2NsgNidn1nXa8OY40dHfrzNtvq+Ub39Dtd97R/DvvaHNpacfnltfXq+bU
KSUGB1Xb0ODRVcRxYRUQIiqiLATFsBBhIaSOjo4QPd26dStEX8iL+9lmvrGxMcwschBpubCkqlhM
jbEdFowFAAAEdklEQVRYmP2bvnZNiz//uTZGRr4UYZHXqr1yRR1//dc6/dZbau7r81qsiOPCKjBI
CkE9ffo0REyIiWEeIhoYGND8/HzId3E/ERmPITjuR1g2ZHTC9Cq9p0OCXQyXy8ul2dkgKqCApO7M
GXV++9tq6etTOYWjXioSaVxYBQYZMbyz2UFmDG3ZDtEUERh5LWYRLZpCbJaYJwnP/TY8PM5N/8qr
q9UyOKjUW29pYXRUGYpIJya0MTmpzNycymIxxXp6FG9vD0WlTvRxYRUYIibricXQj5lAK1/g/p1q
r5AYkRV1Why8hoNIjceOKyy1aR0YkH70o1CbtTA+rumhIaX+7/+UGRlR4+XLavn2txX38pCSwYV1
BFhhKMl3xLNfMp3cF439GBKSmKc/PNf5GccZhoDxhgbVvvJKyPFN3L6t5MiIshUVyra0qPmNN9T6
rW8pVl9/1G/VOSRcWEcEOSpyUwiIWUCipb1KFoi8rOUMURav97qsZ9iwOLO4qPXhYcWSSZX19yvR
3R1KILwUpHRwYR0RnERESJQ3kJ9qbm7etdMoeSueY5EVz6P/u88YflFarRcv6lt///fa5DtqalKs
oSFUtjulgwvrCGGoZ8txHj58GFon79RehhnCqampEGX19vZ+YQbR+T018bgq+/tpfaGyrbWbYebQ
KRlcWEeMVbczzGMJCdc5EBIgM2q27HnMJPqi6J1hjaCvEyxtXFhFEGWRdCepjpiSyWRIICMnIgRy
XLZhBWUQPI6wEJdHWM5xw4VVBNj2XlS7s3MO6wipxUJY5K3IYTEsRFaWt7p48aIn3Z1jhwuriCBy
OnnyZJATRaKUPLC2kOvIi3wXcnv06FGItojOjnPhqHP8cGEVGUiI4R7V8AwNkRiziWy0isAYIjJc
tJbLjnOccGEVGUgIGeXuS8h1pMVjRFYWabmwnOOGCysCICYrGiW3Zb20HOe44cKK2KJpxznOuLAc
x4kMLizHcSKDC8txnMjgwnIcJzK4sBzHiQwuLMdxIoMLy3GcyODCchwnMriwHMeJDC4sx3EigwvL
cZzI4MJyHCcyuLAcx4kMLizHcSKDC8txnMjgwnIcJzK4sBzHiQwuLMdxIoMLy3GcyODCchwnMriw
HMeJDC4sx3EigwvLcZzI4MJyHCcyuLAcx4kMLizHcSKDC8txnMjgwnIcJzK4sBzHiQwuLMdxIoML
y3GcyODCchwnMriwHMeJDC4sx3EigwvLcZzI4MIqQRYWFjQ5Oam5uTlls1lVV1ert7dXDQ0Nqqz0
/+VOdPF/vSXI8vKyNjY2VFtbq1gspqWlJaVSqSCuRCJx1G/Pcb4yLqwSBFkRSTU1NYWDSGt6elpT
U1PhcZeWE1VcWCVIJpMJlxUVFaqqqgqCGhkZUTqdDve5sJyo4sIqQcrKysIl+SvkxRBxc3MzyIrD
caKKC6sEqamp0crKiubn57W6uqrh4WG1t7ertbVV8Xj8qN+e43xlXFglCMn2ZDKp2dnZcL2jo0Nt
bW2qq6vzCMtRlPl/xvO4eUFBYKoAAAAASUVORK5CYII=</Data>
</Thumbnail>
</Binary>
</metadata>
