20121207
11502200
1.0
FGDC CSDGM Metadata
FALSE
DigEc4_RemoteWorkPotnetial_ByCounty_20215yrEst
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",2000000.002616666],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-79.0],PARAMETER["Standard_Parallel_1",34.33333333333334],PARAMETER["Standard_Parallel_2",36.16666666666666],PARAMETER["Latitude_Of_Origin",33.75],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2264]]</WKT><XOrigin>-121841900</XOrigin><YOrigin>-93659000</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102719</WKID><LatestWKID>2264</LatestWKID></ProjectedCoordinateSystem>
20230901
14592500
20230901
14592500
Esri ArcGIS 13.0.0.36056
DigEc4_RemoteWorkPotnetial_ByCounty_20215yrEst
Estimation of remaining (not yet met) remote work potential, by county across the state of North Carolina. Potential is in percentage points and is the difference between the share of remote work friendly occupations minus the share working from home (non-agriculture). A digitally inclusive community works towards leveraging this potential by reducing this number.
Calculations were made from publicly available economic data by Purdue Center for Regional Development at Purdue University.
File Geodatabase Feature Class
dataset
EPSG
6.12(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
DigEc4_RemoteWorkPotnetial_ByCounty_20215yrEst
Feature Class
0
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Name
Name
String
15
0
0
FIPS
FIPS
Integer
4
0
0
Rurality
Rurality
String
50
0
0
COGRegion
COGRegion
String
254
0
0
EconTier23
EconTier23
Integer
4
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20230901
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKwNV1+e01BrW1iify1BdpM9T2GPaqy+K
LwYD2EDepWcj9Np/nQZOtCLs2dRRXP23iWW5MgTTXJjIDATLnkZ74qwNdbOG0q9HuDER/wCh5p2Z
SnF9TYorJPiG1jwZoLuPJA5hLcn/AHc0/wDt6xzjF1/4CS//ABNKxXMu5p0Vnf25Yd5JV/3oHH8x
SjXNMZtovYd3XBbBoC6NCiqg1SwPS8g/77FO/tCyJx9rgz/10FAyzRVf7fZ/8/cH/fwUG/sx1u4P
+/g/xoAsUVX+3Wf/AD9Qf9/BR9us/wDn6g/7+CgCxRVf7dZ/8/UH/fwUfbrP/n6g/wC/goAsUVX+
3Wf/AD9Qf9/BR9us/wDn6g/7+CgCxRVf7fZ/8/cH/fwUfbrPOPtUGf8AroKALFFVzfWgGTdQ4/66
CmnU7FcZvIBnp84oAtUVU/tOxBx9rhz/ALwo/tSwzj7XF/31QBboqn/athnH2uLP+9Tf7Z07BP2y
LA96AL1FUV1rTWUMt7EQe4amjWrF2ZY5Xl2nBMcTuAfqBQBoUVROrWwJHl3fHpaSn/2WmPrdohwy
XgOM/wDHnL/8TQBo0UUUAFFFFABRRRQAUVFc3EdpbSTzNtRBk/4fWuZieTVozc3hcMWIWNWKrGAe
MYPJ96aVyZzUVqZl1di+1a+n6YlMQTuoT5effOabWjPpMLQv5W4Tli6yM2TuPJyfQ+lZTNKjCJre
T7QRxHjr9D0x70NWPMqxbk5LqSRTG0vEnVsK2I5VPQjPB/DNaxvyxcwW8k0a9ZEIwfXHPNVbTSIW
tyby2QylyxzycZ4BI61qgBVCqAABgAdqtI0grKzKPnx3V/BGHG1Y/PCg856DP5mr9Uriyt0gkeKN
YpFBcOgwQR/OoY9atBBAZZlMroGZYwW2nAznGcdaZZp1UQZ1afPQQR/+hPUJ1yxBbbIzqoBLIhI9
etNh1CzbUrlhcxEbI1yG9Nx/rRcEaBijPVF/Kql/DEYoh5aczx/wj+8D/Spvt9n/AM/UI+riq13f
WbNbgXUB/fAnEg7AmgFcufZ4P+eMf/fIo+zQH/ljH/3yKFurd/uTxN9HBqUEHoc0CII7WBtStVMM
eMs33R2GP61s/ZLb/n3i/wC+BWZB/wAhW356I/8AStmpe50U/hMrWLW3Ww4giBM0Q4Qf89Fqv9mt
/wDnhH/3wKuayf3Fuv8AeuE/TJ/pUFOJFXco3dtCPIxDHzMuflFWfs1v/wA8I/8AvgVHd/eth/02
H8jVmmZmfBawS6hdSNCh8orEo28D5QxOPU7v0pwghTVGUxR/vIQR8o/hJz/6EtSW3/H1e/8AXVf/
AEBaiu7iGHUrTfKiPtfO5gPkOP6hf1oAt+RD/wA8k/75FVb6CNhAm3aGlHK8EdT1FXVdXGVYMPUH
NVpSJb6GIc+WDI/t2X+v5UAiRUuYvliugV/6axByPoeP1zVm1visogvUQMz4jlSPCtnoD1wc8c9a
ZUMocTwSiPzVjbcY923J7H8DSaLjN31N3aPQUNtCktjGOc1m2mozPeeRdRxR+YpaIoxPI6qSe/IP
5+lT6pMsNiwZ1QyssSknHLHH/wBf8Kk3TvsRaVbFFN0SE89QfKRdqr17dzz1pdOeMtcBpFNy0pMi
5wQOi8emAKsrc2iIFW4hCqMD5xUFxcaXNhZ7i1YjpukXI+nPFAy9RWDJeNFMttpt3BJHKC24v5hh
x1wO+c8ZPHv0qnHBLeXF0891PJtl2KwbaMBVzwOOuaLESmkdhRRWVe+IbHT7w20xl3KoaRlQkID0
z/8AWzUmraW5pu6RoXdgqjqWOAKUEMoZSCCMgjvXBXN3cao/nXcjMmSY4cYVBnjjuceualtvEE2l
6JBZRWz+fu2ebI2VUsx5AByQM9OMUGKxEG2ux0F14hgS9extEFxdL975wqIfQnqT9AfwqFtU1KNv
OeKAxZG6JAzMFzzg8ZP4VzBt+FKyyJIpz5iHDE9ya0dL1C5luHt714N4RSmwFSx5z1PPQdPWqVjJ
YlyehpTX/wDbEyNHE62cTEqZBgyODjO3qADnqBziqk7JpkizbpBbOSHUAsFJ5BAHTn+dJHcx2Qv2
nYJHHLuC9wGAPH1JP45pJ7x2hEMkLQvMfLVmwV59+mcdj3qkrBJuTuyx9vTvDcgdj5DHP5CoYbmO
8vwVJQQggK42sxPX5TyB9auxRrDEkSDCIoVRnPAps1tDcLiWNXx0yOR9KZJLRWdA94GktVKP5JC+
fJ34B5A6nn2qbZqH/Pe2x/1xb/4qgLDtRfy9Mu3/ALsLn9DWHGixxqigAAYwBSSm8uYp4Zr+baxe
J1VEAIyVOPlzVeWGeOJ3W9mJCkgMqY/RaiTuYVGnoi5VjRQHvbuVRmMpGu4dCwLZ/HGKd/Y8zRY+
2D5h/FFn+RFSwyvpmy2upvNRl/dOseDkYG3Azk9/Xr6U0rFU6bTuzSwPSq10B59nwP8AXH/0Bqa1
7KzKkNpMWJxmRdqgeuaZJJM95aLJBsAcncGyPun/ABqjUtvbwSffhjb/AHlBqE6ZYE5NjbH6xL/h
VqigRmNptj/aESizgwI2OPLGOoqyNNsB0srYf9sl/wAKU/8AITTn/lif5irNA7szLCwtJLKJ3t42
PJBK9OT/AEqSXTbXdCiRbS8yD5SRkbgSPyBqXTP+QZbHjmMHj35qwg36haL6Mz/kp/xpdCldyC/0
+1tmtniRlbzgPvsR91uxOKdV3UbP7baMiuySr80TqcFWwcdeO9YNul6of98WkjbZJHKQyk4HRgBj
r70JlVI9Roe7F7ffZYo3UlRudyMPtHbHIAxVy3tY7ePAy7HG93JJY++ar2k32dBFdIYpGc8nlWJO
eD61fpmbKU1nbwK1xGfsxVTvaJVGR154qtax6jagyybJ1kIZ124k6fkcDA/Crcw+03aQdY4sSSD1
P8I/r+Aq3QFyhLqflIXNjeELjdhBx+Z5/CrMVykpKkNHIPvRyDaw/D+o4p6R/ar6KA/6tR5snuB9
0fief+AmtC/sIr62kjIVZGQqku3JQ9jSbNIwurmdLGZApVyjowZWxnBFUoWee/liv5FlnX95Gu4l
Np4yF6A9vx96sXi31uUhdUAlO1Z0PC9ex78cVWjjOmBAUEsRYJ53/LQZP8XrzjmgnVaMu/ZoP+eE
f/fAp6oqjCqAPQCnUUyCrGAupTZA3NGu36DOf1qKC6htpbmGaVI8TEqGOMggNn8yfyp98RBsug6q
8eV2t/GD/D9eBilW+jdVZre4BI6GBsj9KBmw2uaerEecSo/jCEr+eK5Ga6bUb6bUGBAlwsa/3UXO
B9ckn8cdq6HAxjHFczqED6ff7LcRrBMN6h2PDDggfofzqHGwVpucbElVp5rZw0Uh346qoJIP4dDQ
beWU/v5zt7xx/KD+PWp0jSNQqKqqOgAxUnHoiva3BISKRZFfBwXXG4D/ACKmJK3tmyRmSRZcqq9c
bSD+HNR3atsWSM4kQ/Lnpzxz7VtWGnGCX7ROytNt2gL0Qd8fpzTSuaU43fMQ3MbNNFNeohbO2KCL
59xx3Ygf4DGavR2wNjHbzgNhArfXFSTQx3ERjkGVP4EHsQexqO0dyJI5G3PE+wt6jAIP5GtDoIlm
ls8R3J3xdFnH8mHY+/T6VdpGUOpVgCpGCD3rOubSC2jUw+as5OIgJWJz+JIx68dKA3JYZ4oZbppZ
UQGX+JgP4RTn1G2W3llWQMIxkj69PzpbWxjt0BcLJOeXmKjcx71X1WwNwiTwqWmiIITOA49OeM9w
aBMzIlKxjd948t9Tyabcn9w2AWJwMDqeaerEsyMjJIhwyNjI/KpbVPO1KCLHCZlb8OB+pH5Gs1uc
sU3LU14LuGZhGCUkxny3G1vyqnc3a3d1Bb2pWTbLmVsH5Np6foavz28dwgVwQQcqynDKfUGqNutx
pqTI8cl1GZGkEilAwB5O7OO+a0OtGnVO7RpLy2VZGjPztuUA9h6/WrMUizQpKmdrqGGRg4NQyc6h
APRHP8qBIPs9wOl65+qL/hR5d6OlzD/wKAn+TCrNFAXMmW8Wx1FDf3MK7oSFKoV7j3NSnXtKAz9t
j/WsHxcc6haj0ib+YrArCdVxdjKdXldrHU2PiewgtY7d1mxCPL8wJkMF4BHOecZq3D4q0uO/WVmm
KLGwGIm6kj+ma4ulSJ7iRII+JJWCKfQk4z+HWo9tJ6CjXlzaI9JbVX1KKBrEzQxOC7SsgBIxwBn1
zn8KWKJYYwi5xkkk9SSckn3JpY41hiSJBhEUKo9AKdXUlY6JSctxskaTRNHIoZGGCDVJ5pNOyZWM
tuThWJ+dT2B9QfX6VYnulhYIFaSVvuxoOT9ewHuarzWUt3ETPIA45jRSdinsT6mgSLFpCYocvzLI
d8h/2j/QdPoKdNcRQAGRwM9B1J+gqrFNd3TPGyrbNHgN/ExyOo7Y/OrMNrFASygl2+87HLH8f6UA
SaPdQyXU5YsssrYjDqRuVR2z75rarBuAwVJY13SROJFA6nHUfiMj8atSaukqqthtmdhksfup9ff2
qWjeElykmsy28Wlz+fIqfISmTg7gMjFUniS5t9kmHVgDwfxyPxpsdrGshlcCSdvvSsOT7ew9qq3U
RsIpru1+UKu5oQuVbHPA7H3ppWM5y5hLixMJiltY5JHWQEgyk4XnOMnFNe8ureYQymJpZk3RKoOF
OQCPfqDnjoada6vFLtS4XyJG6EnKN9G/xpb/AFSC3jdYnEtzjCIg3EH39B9cUaEJ3FsjLeOt1OiK
IyyxhWJBIJBYfXt7GtCse31OK2t44Es7oqihQfk7f8Cq1b6i11CJYrK4KnI5MY6cf3qaYrp7F4HI
yKgu4reW2cXSK0QUlt3YY5PtUl1bDTZDJFHts2xuCYAibOM47A+1RXxi+xTLMC0bKVKjq2eMD3NF
7lSi4uxgWxc20ZfO7aM56/jUtSWumksYbyWRLhvmjZX42+nTBI71YTRDvbzbyV0OMKFCkevIqOVn
M6TM64QSxNDuALjoT1rWtNXS4Q7oJ0YHbxGzKxHBwQKgvtNsrTTriRIsMcHdnLZ4GATz/wDrpbXV
LaBY4BbTwxDje+0gE+uCT1700rGkI8vUum+VWw0NwF7N5ROT+HNV1S5uLyWSFnt4WVQzMnzEjP3Q
enUckdq0qKo0uZ9vc3m10e384xuU8xXA34747GorWa4lnnnktHLq5jA3rhAMcD69Sf8ACrlj/qHP
rNL/AOhkVDNIbO+3LC7pccEJjhx35I6j+QoAm+1uOtpP+AB/rR9tUfeguF/7Zk/ypPtuPvW1wv8A
2zz/ACzS/bou6TL9YmH9KAMi+njn1ZRGGVlh+fchUtknHB645/OnWLeXq8J7SRvH+PDD9A1V7421
/q7svziOJVbOfvZY4x6gfzqoLeKPUgv7wZj3oRIw2kcHHPcMP1qG9TCTSnc7Giubw46Tzj/tq3+N
JI8yISs9wzHhVEh5PYU+YpVUzYUGxuI4wc28zEKD/wAs25OB7Hn8frUh51NR6Qk/qKrf2W0lksU1
3M0oAJkDdG65A+tNtbUPNKk00puIjtLCQjcpAIIGf84qjU1KKrfYo858yY/9tTWLKkkd5cRmefCv
lR5rdCMjvSbsTJqKuUPFZzq8Y9IB+rH/AArCZlRdzEAepro59Pt7mTzJleR8Y3NI2cfnSW1hY22p
W0rwr5WSp3EkAkcZz26/pXPKHNK5ztKczL0rS59WmIjzHCv3pmQkfQdM04btB11ftUfm+T8y7eN4
I4YA/UjHrXeoiRxqiKqoowABgAVT8tNQuUmeNTBA2Yiwzub+8PYdvf8ACtFSS23NlTS2JI7+Fiiy
BoHboko2k+wPQn6U6e4KMIYV3zsMgdlHqfapnRZEKOoZT1DDINUWhXTZDPCuIGIEy5+72DD2Hcen
0rU0LVvbiBSSS8jcu56sf8PapqOtFAihfStYs16E3ptCMgOCTn5cficfjUX9sHHNpJn03Co9Wl8y
6it/4Yx5jfXoP61VqW7MynUadkaMNzLqasqK0ESttkYkFj7DHT6//rp9uwsAtrLgR5xHL0Dezf7X
86i0Zh5dwv8AEJckexAxV+YxCFjNt8vHzbulNGqd0SU2RFkjZG+6wIP0qppjjyGgCsvkttAdSp29
QcH/ADxT9QnSCylLHJZSqqOrHB4FMdtbHPxFd8ltnzY4+Flx8rj8sZqdUVBhVCj0AqO3ZTAgUg7Q
AR6GpayOOT1CoPtrWjNHFqMcIzuMbbTgn61PVSRr2GRhathGO4jdjn8j6U0VT33sd/dvAlpK1zt8
jad+7oR6VgWllGqJLIsjS9R5rlivoOTxxV3VZBc3EdquAIXWaRj264GPf9PrVU6jbbXaN2mVPvGF
S4X1yRwKpHfUd3ZBqKk2UjqPnjG9D6EVZU7kDeozUCwX+pRsLeGOK3dcebPnJB9EHX8SKuR+HE8k
Jc393M2BkqwjH4BR0+pNPmQlSk0c9qNz9pv/ACVcGGFVfjozHP8ALH5k+lQsoZSrAEHgg11q+HdI
WQyCwi3Hrx/ShvDulNn/AENFJ7qSP61DdyJ4Vyd7nPaVdPHILKQs4wWicnJwOx+meK0bqUwWzuoy
+MKPUngfrV0eGtNWQSIkyMBgFZ3H9aJPD0EmP9LvF2kMMSA4I+oNNSLVCVtWU7eEW9vHECW2rgse
rHuT7mnTQpPEY5BlT74I9wexqy2iSgfu9TuM/wDTSONh+iimHSNSB+XULYj0a0bP5iT+lVzIPZSK
djI72wWUkyxnY5PcjvVknAzTYtK1ODzPntJSzFurJ/Q1FffbtPs5bm4toWijGW8ufPH4gUcyE6cu
xzscSSXU17txJOSTjpjt/LrS3MXmREqP3i/MhHUGiBlRVhLL5gXJUHkCpWYKpZiABySe1ZnDJtyu
MhmWaJXUg5HI9D6GrmmQG4ujOw/dQnav+0/c/h/PPpWUYnuZTNGzQDGFYDl/cg9q0be/ura3jgjt
YMIMbjKeffG2mrFw5U7s3qqRgS6lNJj/AFSiP6k/Mf0Iqvp51Sa2a62Lc73ZdisECYOOM/54pN13
Zam8dxCHkeLeTB91ueOp7dM/SrudPK7XNSsTUlCamD08yLP1IP8A9cVejuri5XdbxQ7QcEtLkfT5
c1BqEF9d2xX7Nb71IZCJSSCCD3UfTrQ9URKN1Yo011DoyMMhhg0kblgQylJFO10PVT6VNb2099OY
LYDcBl3b7qD3/wAKzOVRbdluSWVxc3xexdhsiA8yUcMwPb6+praVQqhVAAHAArNvfD13Zj7XZ3gd
4lLHzVCt055AwR7EfjU0NvPNCjz3cm5lBKxAIo+nf9a0TOzlkl7xZluIYP8AWzRx/wC+wFRvd2xt
3k82N49pztYHNLFaQQ5KoCx6s3zMfxNVb23hkv7EGOMsZC5+UZwqkjn67f0phoLY3Iij+z3LeVIv
KLIwyU7c98dD/kmO71hUKJap5hc48xgRH9A3Qn6elaTIrjDqGHoRmmzQR3ERilUMh7UCZz58ySZp
5nDyMAvC4AA9Pzp1R3UM1tfyw2zq0SqpAlJJBOe/5dfzqHdeRZ3LFOPVfkP5HP8AOs2csk76s6DQ
tOtbqGeeeLzGMmzDMcYAHbp3rWt9ItLdxIVM0i8I82GKD0HpWN4e1HyD9iuItjTSFkdWyM46HgY6
V0VzPHbWzyynCqO3UnoAPc9KZ6NKzgrGPqyGTVbbyZBE/lMTIvO8Aj5SPQZz+PHeoYtOgjnW4O55
xnLlj8xPfHTuR7DioYdPaGNZYCIrjbhgeVYdgf8AEVYS8XcI51MMhOAGPDH2PeqRnJ3eg2706G6O
/mOYdJE6/j6j61jzK9pcLBcFdz8o46P/AIH2ro6z7eGK4a5FxEGlLncHGfl/hwfTihq5lKCktTML
KOrAfU1b0ywtbm0M89vHK7yOdzrngEgY9sAVfTT7NOltF+Kg1YACgAAADoBSUbChDlL39h2DyCW4
i+1SAYDXB3/oeP0rQVQqhVAAHAA7UtFQekFFFFABRRRQAUUUUAFFFFABVXUbCPUrF7WVmVGKtlTy
CrBh+oFWqKAMW78OWracILNEhnQ70kPVm77j1Oen5elcdHHLc4a5GzaeYP7rDs3qRXpdcFqdzAut
3+6WNCJACCwHRRzQcmKguXmW4yioxcQnpNGf+BClMsYUtvXAGetB59mdV4fTZosH+0Wf82Jq5c2d
veKFuIlcDpnqPxqHSgsWkWUZZdywIDz32irm5T3H51R66VlYxblPs+sMiqUjljDdOGYcYH0AGfqP
en0uoSrPfRRxqd0BJd+wyPu+56H8qZJIsUbOxwqgk1S2Oep8Ri3Vi9xeXBsXZZC2ZGc/IGwOOmSc
Y/xrodDEEdj5MSlZUP75W+9uPf3B7Gs+wRxHJK2Asz+Yqf3QQO/6/jUn2u2sNVt5bm4igWSN4yZH
Cg8qR1+h/Ok0OnZSN51DoynoRisG1ykZgfiSE+W4/kfoRg1cn1q3ZAlhLFdzN0EbhlX3YjoP51mf
YZEL3Ec7G8c7nduRIfQjsOwx0oRVRrYvVUlwmpwSN0eNowT2OQQPx5/Kqp8R6YiL5twFkwNyKrOU
PcHaDgiopfEWizxmOSd2U9jBJ/8AE0+ZdzG9jaorI0nWLa7le0W4MroMo7KVLr+IGSO9a9NO4GHq
ChdUcgffjUn8Mioan1Fg2p4H8EQB/En/AAqCs3uc1T4hPNaCSOdUMhikV9oPJwc4rS/ti2u3SW4u
4/lOVjUHah6dT1I/yKzqr2v+suiPumXj/vkZ/XNCdioVXGLR00M8U67opFceqnNLLGk0TRyKGRhg
g1zjwhjuVnik7SRttYUqTSae3nxySMi/6xHdm3L3PJ6+9VzFqqmbFtEbe+eISyurRK37xs4IJHHp
/wDWo3m0u5pJlYxy4xKBkLjsR2781G97bxahE8khVJ4gsbbTgnOeuOOPWp5L+JX8uNZJ3/uxJux9
T0H4mqNRtxqMMMe6M+c3YJzj3J7D3oFrLMA8l3KGPaI4UfSmu1xNGY4bRoN/DPIV4HqACcmrkaLF
Gsa/dUYFAHQUUUVkdwUUUUAFFFFABRRRQAUUUUAFFFFABTWjR/vIp+ozTqKAITZ2x628J+qCo20y
wf71jbN9YlP9KtUUAVP7L0//AJ8bYfSJR/Sm/wBk2H/PrGPoMVdooAzzommkk/ZVyeTgkZ/WoLrw
5p1xAUWERuOUfJbafoeDWvRQKyObieRHNtcRiKdByo+6w/vL7fyqH/j41BHjGEgDKz/3icfKPbgE
/Qe9b+oafHfwBSzRyrzHKv3kP+e1YlsDbH7FKgjmiHTs4/vD1B/nVp3OapT5dUWKKKKoyOK8SWDW
uom4VCIJ8HcOgfuP0zWNXReLrovc21opO1AZXHueF/8AZv0rna46qXNoctW3NoOjkkhlSaJtskbB
lb0Nd/pWopqdgk42iTpIgP3W7ivPqv6LqX9lX7SMjPFMoR1TrnPykevUj8aqlOzsx0p2fKb1wlyu
pyoYGkkmYsmwjG0AAZz06fnR5F4G2mzkz7MpH55rZtYnRWllwZpTlsfwjso+n+NWK6eU2dOLdzn/
ALPef8+b/wDfS/41WtVaNJI5FKyLK+9T2JYkfoRXU1i6nF5V+soHyzLg/wC8P/rfyqXHQidNKOhX
oIBBBGQaKlsrS41OfyrUAIv+smb7qew9T7fn7yZxg5O0RNHigjuJYHVXwu9C/JUZ5HPatSO7tBlY
CJOekCluf+A1ftfDOnQkPPGbuUDG6bkf989P0rYVVVQqgADgADpVcx6MaLt7zOd82bGRZXZHr5VR
nULRTiSdY27rJ8pH4GunoxRzMp0UFFFFSbBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU
AFFFFABVS/sEvoQM7JkOY5AOVP8Ah6irdFAHORSP5jwTp5dxH95c8EdiPUGkuJ/IQELvZmCqucZJ
rY1DT0vowQ3lzpzHKOqn0PqPaudgjlk1CRr2NI54BtSMHPHdxkd/6Vonc5Z0+XXoZep6Be6lefaj
PChKhdhB+UDOOe/U1n3HhbUIk3RNFNgZ2g4P4ZrtKKl04vVmDhFu7R5lIjwymKVGjlXqjjBFNZgg
3biuDkEdQe1ekXNnbXihbiFJAOm4dKrxaLptuxdLSIHGMsM4/OsvYa6Mz9jroxNGe/k02N9RAE55
HGDt7bh0z9K0K5kM8kjvBcTxxA4hG88D159f5YqAvLd3si3kzNIgAjCkoCnrweTnr9BW3NYtzjqd
bkVS1SNJbQKzlH3gxkLuJbsAO+eRj3rHhdtPn8+CPeXwjxj70nPGD/eya6/TdOaMrd3eGuSOF7RA
9h7+p70c2hrSj7TXoZeneGpJlSXVGwOv2aM8H/ePf6D9a6WKKOCNY4kVEUYCqMAU+ioOuEIwVooK
KKKCgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqnqFgt6
isreXPHzHJjOPY+oPpVyigGrnORyMXeGZPLnj4dP6j1BqWtHUNPW9RXQiO5j/wBXJjp7H1B9K569
1JrJPLkh23ZcJ5bNgZIJBz3XjtWikclSny69CN9aVJ5FFtK8SMVLoQSSOuB6f5xVB5bu53ma5kVH
/wCWKYAA9M4yfzpsSGOMAnLEksfUnk0+obZxyqN7AAAAB0FV5+J7diOA5GfqDViqmoSeVArBSzBx
tUdz6UiI6s6Hw5YC4u3vpRlICUiH+1jlvyOPxNdVVPSrL+z9Mt7YkF0QeYw/ic8sfxOauUHr04KE
VEKKKKCwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACszWNHj1WFSCI7mLJilxnB9D6g1p0UCaTVmcTDpGqzsUFoIipwzyvhfwxkn8vxrRj8KSFR
5+ovu7iKIKP1zXS0UGMcPTXQ51vCi4+XULgN23IhH8qz4dGuU122t7qLzYUk81ZlQhG2jI7nBz2z
2rsqKCvYwumkFFFFBqFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ
AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9k=