<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20200511</CreaDate>
<CreaTime>14395000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20200511" Time="143950" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\RegisterWithGeodatabase">RegisterWithGeodatabase "I:\Gis\Projects\Enterprise GIS\Database Connection\ARCGIS_ENTERPRISE @ 10.1.1.203 GIS_DATA Auth.sde\ARCGIS_ENTERPRISE.dbo.CITY_EMPTY_LAYER_SDE" SDE_ID GEOM Point "PROJCS['NAD_1983_10TM_AEP_Resource',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['Transverse_Mercator'],PARAMETER['False_Easting',0.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-115.0],PARAMETER['Scale_Factor',0.9992],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-5618700 -9994100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" "-253082 6109850 -233119 6127280"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>2021</keyword>
<keyword>household</keyword>
<keyword>Environics</keyword>
<keyword>Economic Development</keyword>
</searchKeys>
<idPurp>2021 Environics household Economic Development data.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2021 Household EcDev_WFL1</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3RZym
d0UnPtT/ALSSOIZPyqR0LHilQbVwazfcZnNqF0mAbUsSSOAfXFP+3TfZSxtz5uRhQOxOK0KieMkk
8U9AMu3kZgFMZAAHJB9qHnkUD91nOegPQd6kh/1S/Sn1lddiWMVyVBK4JGcc/wCFLv8A88/4U6ip
YrohY7gRnr9f8KQMC2A3K8Ec/wCFPpjRqTux83qDioVuom/IDtfjPTrjNAwsmNwPyjjmmBj5eQSW
HJA/lS8E5Bw4UHn0q3FrQFJW2Jt3HT+f+FLv/wA8/wCFMjmDEKeGIqWjla3GpJjd/t/P/CmSNKQP
KYKc85BP9KlooTadwdmRxvKAwlZW9MAj+lDFipCkA9jz/hUlFNtt3DS1irIrbEZ5EyrZO7IB4q7H
c70yoDe6k/4VAVV2IZQw54I+lRRySWBf91vhLZyv8NbUrzXKnqJyUXe2he84/wBw/r/hSmbjmP8A
n/hTYLuG5x5bjd6HrTpWYHr2onGUd2WpJq6GJOkf3IwPoP8A61O+1HP3T+dRVJEoZuc8Vj7ze4KX
ZD/ObvGajaQl1bbjHbnn9Ks1FL/rI/rSaZqRvMSfu9Pr/hUfmHzfu9R7/wCFWG6n61H/AMtB9K2S
dtxCGQ5Py/z/AMKjL5PQfr/hVhvvn61Xc4cn3qKl0tyJNWF+b+7/AD/wo+b+7/P/AAq0rblDdjS9
j+dV7PzFoUyGbjH8/wDClG7H3f5/4VP5wB4XP40qSbjjafzqFBX3C6K/zf3f5/4UEsFJ29AT3/wq
2MY9Kiug7QFVUksQpx6d60jSu9xOyV7FTzjuwEPO3HB71HLeNFIy/Z5WAPBVTg1bMKQKqIu1R2pK
mXKnZIRpUUnNJvXeVz8w7VVix1ISMHkUtV5PvNTSuBSh/wBUv0p9Mh/1S/SnE4FYdCHuLRUZye9O
QDbjk/WkncQpANNC5p+B6UUW1uBERzzzTGTfGVx1H+NWABuB96rw+bs2yK/AABY5+tVra99gtoyG
MIhDMwBz93vmp4WkZzuOVHB47+1SFTgkDn0qKMsAI14c8tx09avmc9bGaXKWKKjLtGPmUt7qKEl3
nBRlOM81PK7XLuiSiiipGNH3/wAT/SrEIBVulUg2dREeTyM8ucfd9OlXo02g5NaQjZ3KIGsoEnW4
XKMp6L3qR5A38NPmGUB9DioKqrUk9GTZLYsBVx0FOQBT0pEOVB9acODnj8qtW6Fi5FRy8yR4HenA
EGqN622+t+Ac4659frWPLd2LLbYy31qMcyH2GKsbR6VHHzuO3+KrjK+gPQVgd5+Xv6VVkyHPHNXS
ckkjvTXRWHIFOcOZES1RXgkKnaRwasZB6HioxAFcEN0qpPcG0Bf3xiphzpqNtyL8q1L5UA9BS4GO
P5VhvrMx+6ij3qI6rdN/Ev5V2LC1H0MniYI6HFA71z0OoXAnUtISueRXQq2cehqKlKVN2kaU6qqb
EM33hUdSTfeFR1xz+IpmgzhSB/EemaQqWweA3rTmG4YyR9KAoUYFa3KFphjBJJ70+ikMyjDsJUOw
AOBSeWT/AMtGqZ/9Y31NNrGxF2R+V/ttR5RH/LRqkoosguM8s/8APRqPLP8Az0an0UBdjBGcj941
R2y4aTkHp0k3etT0xAATgAcdhjuaadlYe6H0UUUiQpjxhyDkgj0OKfRTTsBXZP8ASIwucjknPapw
c1FIBGWkycnApsDOXIbkD26Gqd2vQhaOw9XVdQjXEWT/ALXzfd9Pwq/+NV4iWlweQMke3SrGMdq1
g7o2GScx8etMSInk8CpgcGgjrQ4pu7FYRQFHFOB5HHek475pQORyKoYuRmqV47JcQkbMZHVcnrj0
q5tOaicESJk9TWTtHUvcmqOM/IKlxUMZynQ9aKe4pEhbOeBzSHHpiil4Awe9akiA1jaycMgHQnNb
OPSs6/txcEgnBHQ1UJxhOMpbGVaLlBpGFRTpI2ico3UU0cnFeymmro8y1i1Y2xubgDHyryxrpFBG
No6VDbR+VbRqQAcDOBUw5/AV5Var7SVz06NPkiNePccnNN8oe9PPWjNYcqZqG4+ppS7HvTaKkYu4
+po3H1NJRQAmB6UYHpS0UWATA9KbIAF6U+mSfd/GlLYTIqKKKxICmr1P0/qadTV6n6f1NJ7lLZjq
KKKZIUUUu1vSgZFOpaIgdahUnzVc5XJxtJq3tPpVSR1juWLqeAMcZrSF7NJGc1bUtxHE31H+f5VZ
696pLICyuOh/z/j+dXgABnNEJ2TRutVcT86XoaQyoO4ppuI89aftR8o/bSgc1F9pj9CfwoFynoan
2nmOyJTUUv8ArI/rR9oU9jTZZQ7IQuNvr3qG1YZPUa/xD/aNJ9oXupqJJx83B+9VwkhSRYA79qKi
89cDg0eeP7prXnj3JsyXOO9VJWDSEjpSy3OAVCH7pOfpVZpvkkKxsSpwBjrWdS8tiWmRXFoZ7iNv
4ejetXYNNgt2yFLt6tzUCz/vVGxtuepHbGf5VdNwCehrWNacYqEnoRGlG/NbUlwfQ0vQYI5qHz/9
k0ecP7h/Olzx7mtmSEc0uB61F9oA6r+tJ9oX0/Wl7SIWGfZh/ff86Psw/vv+dT0UAQfZh/ff86Ps
6j/lo351JJJt4HLHoKasCkZcbmPU0AMRAkwAcsCD1NWKYsSIcqoBp9ABTJPu/jT6ZJ938aUthMio
oorEgKavU/T+pp1NXqfp/U0nuUtmOooopkij7w+tT1APvD61PWkC4hVS8dkKbQOTgk1cIxUM8Imj
29CDkGq06hNNx0KsUZRNuec5HtU5ZyoXOFqFZGVH3oQQeo5ognWViFzx6isnGTbkyIyUUkiXaKMD
0FLilKnPANKwyztUHOBUaOpcDbUpC4wOvvTVRAwIHNdDT6DHKBu6VFL/AK2P61Kp+btUcv8ArY/r
WdU0iI3/AB8j6D+tOQfM/wBaSVTkOvUUkUgZnI60qfxBLYk9uKCMUq8k89qOM4GDW5BWkHzmkAOe
AasOqkDI/KgKF6VlyaisMnA8vr36YpkaNwTT5vufjT06D6U7XkPoLjvxSUtL29K0Ahm7VFUs3UVD
ketYSV5Eskhl3/K3DjqKlqKWLd8y8OO9MWQyt5Z+Ujr71oWOt/m3MeXzgmpqiUCOYjoGHFS0AFFI
Tik3Ux2HUyT7v40u6kb5hik1dCaIqKfsHrQEyetZcjJ5WMpq9T9P6mpxECxGabFGCXGenH6mk1Z6
jUXYZRU3krn7xo8gZ+8arkkTYiH3h9anphiABOTxSK5LAYppcujKTsTKCwwOopNv0/OnBe4PFGyr
ehSKcv8ArCP8/wCeKoW02buZemW4+oq/KMyt7VguzxXLN0cMTV4WkqvPH+tzlxEuWSZ0QjYjOKnG
RgelYkOsOiYkTcfUVopd+aiuFGCKU6To6yRcKkZbE7TDeeD1p0UgZ8c0nlKzZ5596WNArcfzqVzX
NNRw+9Ucv+tj+tSrw/SoZifMjIHepqouLJj06cVVhyry49eKtD7hJ9arQsPtEiY96drWE2Sxs5J3
enpT+On60uQc/L0FLwMEjtVpWQhmO2aB1pEkVs8cgU7HH40J3Aim+5+NP58vr/DTJh+7/GnJ0H0q
ftMfQhDsO9PiJJJPNO8tfT9acFCrxSjF31JsRzdRUBUk9atOgbHameUPU0NSvdCauPqKaHf8y8OO
hqWimWQKwmUo/DinRSHcY3+8O/rRLFvO5Thh3p0cYjHqT1NACtSdDSt1pWYgmmUhAeeg/Kgn2FIO
opQCxwOtMBM0oHGanFuMck1GyBZAoPHWlsFxUXHJBzUcP33+v9TU1RQE5kP+1/n+dYSd2MSe5jgG
6TgHuATUUGoQ3M2yMNnGc44q0QG4IpqxIh+VVH0FdMZwtruZOM76bARlT9KZGm3Oak2ml28daluO
47CD60oJIpQMUVnKVy0im/8Arm/z3NV5bKGUklcE9xVmT/XtSVEJSjrF2MqkU3qZLaZKNxDKfQet
OtYLkN8xZFTop6GtqNQUBIpJ1CxnArsliasqbUrMxWHindFe3uB5hyDleCKuRsH5H61mW8iyKSDl
s/NV+2I6EjPpXMm4z5TWDuiUHmo5D+8jzUnIbABP4VBOSCh6VU2rGiLORsI4zmqTDFyxz1FSqZH6
GmNGxd8HLAZFTOV7CWqHxk7sZ7VNztAznjvTYwjKGA6ipMcr71pGNkJEEQwT06etS/w/jQqqASAK
R2Kx5GOtCXKg2I5v9X+NSLwB9KgcsyZJ4zU6/dFKLvIfQUj0pR0INJ7VHLIEidl+YqCcVolcG7Dm
LADaoPPPOKWo7aYTwpLggN2qX6ChqzsxJ31QzcPUUbh6imbF/uijYv8AdFZe8aWBp4kzudRjHekF
xCU3CRduQuc9zTHt45Dlh6d6a1rD5JTYNvXHvjFUKxJ9oiZwquCx7VI2Ccgj86jitYSBJtw2Scj3
NT+TH/d/Wo5+w0hgxnqPzpyMFJJYD8aXyo/7v60vkpg/L+tLnbGHnr/z0H50echOd4/Ok8tOmP1p
Nkf+Saj3g0Hecn98fnUUDqobcwGTn9BUgjQ9B+pqOFQytnnB9fYVLvcZL5if31/OjzE/vj86DGgH
T9aQIhGdv61VmIXzI/76/nSebH/fH50bY89B+dRbR/k01FsCXzY/74/OjzY/74/OmAKByCfxown9
0/nRyyAhlYeaWzwe/wCApNy+tSqFaYjnbzxn6VN5SYPH61CTJcU9SKOVQgG/FLPIjIRvB4pWVB/D
+tIyJg/L0HrWvv8ALYHFWKMSqjOBgH+n+c1ZtzHv3M+MVCZCGCnbyCc4+n+NPiUs2ARn3NYtybuy
IqO1y4J48/6wfnUMro7p8wIHWopreZipWQIBndzUbQ3AESecAcEE+prSza1ZoXhJCoOGUVGrp9oL
FhtPeoIredGZnkVgQPwPenlDvCkgE+/FTK6aGhxZEmwsg2nnr+dS+cgIIYce9QtAF2uTnB5xU3lo
QOP1rWDkyWkgEyYPzikMkbR7S460MiL7Z96FRG6fzNV722gtCNzH5e1Tk5p4kQKBvHSmyIFXIznP
rUgjTaCR+tReSlYdlYrXU8qKrW5RiDyDWS63rNI3zDzPvAHg1uyxqEGBzntUGzHr+dbxxEqelkYV
Kak9WwsiIrONHIDAcg1aE8ajkg1AqDYx5/OmbR7/AJ1lKrJu7W5orJJE1FFFUahQRwaKVjgfhQAy
Ev5YANWDJgkYqtCT5Y5qY/fznvURV0ge5IHyOuKYWBUgGo6KaigFA75ox7ik7UuPl/GrESoPk6io
Is/Nggc/0FOBIHBqKLofr/QVnb3hk7cgZIzTce4oxSVYhw2hh1NIMZ70fxD60A4NMALZ7AfhRnjt
+VNLgcE8+lNDO3Rce5pACsfOJ+v9Ke0m49c+wqJEzMdxJ6/0qcKFGAMCoiDGFZGHGF+vWgw5+8dx
x3P9KkoqrgZ08YC7gACvPTr7VZgiDSA7RgdeKjmXeCvrU1rJvUqcAjrWUVeyfQwXxFjy4icFFx9K
hlRPMj+RevpU+PnxUMn+sj+tXOKSNk9SXZGVIKL+VNeGJ1HyqD64p2OM0dqtwTFdlZQyExjGPT1p
1tIWUxt95TipJVBQEdVqBiRMkgxh+D9aiPuvlK3JHQk5HNSgAKAKRTu+tOIOQO9WopO5FrEc3+r/
ABqRR8g57VHN9z8akUkIPTFH2mPoLxjNRyIz4I5IHNSZPFIDj/8AXTaurCIgpWNsioqsk5PWiocL
isUkkvDBIz28ayj7i+ZkN9TjikeS9FujJbxtMfvIZMAfjjmrdFXcq7IWa4FyqrEhhI+Zy+CD9MUw
Pc7p/MhQIoPlkPkt9RjirVNkz5bbfvYOKVwuyvZyGa0ilKFC6Bip6jI6VYJJJOBVeyEosofPIM2w
eYR03Y5/WrFKOxQc0c0UUwClBIGM0lFABUcXQ/UfyFSDqM1VtZJCp3iQkBRllx6/1zStrcLlqgkA
c0zDseoA9qcEUc9TTATzCXBVSfc8CjaT95vwHFPC5GRS7T6j86AGBVXoMU6jafb8xShTg8j86YEa
/wCuP4/0qWoRxOfx/pUoOaziDFooopgU5WCKWPYZqO1kfkqCGJ5I6U+ZSwIB6+tLDJJE2PkI64Ar
OPLyu+5zu/MX1zkZznHNQSHMiYzwakRmdN2OfaqF2zR+WcNyf72P61q9bJGqZo57ZNGKPypGYqme
vsatuwCMu4YzVdkLRvGCcryKlM3PCimK/wDpAbpn/wDV/hWM5K6aHF6jo33IrjrUu4dSarIPLmkj
7dRUtaJlWuExUpwec1KOEXp09Kp3LlIcgqDkAFzxViFt8KNkHIHI6UJO9yX2JHIIOPSqtWaTy19K
U4tktDUUrnNPoNFUlZWGNpKWkqQCmy8wuM4+U8+lOpsxAgkLDI2nNAFfT1CafbosvmqsagSf3xjr
+NWaq6a0T6bbNApWExqUU9QuOB+VWqFsaBRSE4OAMk9qURsfvt+AqhNiFgPr6Uqq7gEDaD608Kq9
Bil3qoJZgAPU4qZXS0EncQQqfv8Azex6VUtQ4eQOzkcY3duvvV3zEwTvXAGSc9KpxeVEzcopY469
f881MXrqNlluuM8UnAHrQetHatAAnOOMUDFHakpDFHJxR60lL2PFAiIf64/j/SplqEf64/j/AEqZ
amOzGxaKKKBFZ6g/5bjB4xzUkrqA2HTcoyQWHH1qKMKuWLqGxyMgYrJJ6s53vY0Y+I1x6VVv2Cqj
GONgMn56sW7q8WUZWA4JBzTZgGdFIBHpW97RRqifp2pJAHXHTmj16c0p4wRVPUCLyR6n8qZJFtGQ
TxU9Bxg5xg+tQ4RaBaFKSVjJGzrtbp65qxUDxmWF0X5mQ5GOc0yG7j2AOWVh1ypFVBOUdEPms7Mk
uCyxkoQDkdRU0DF4I2PUqOlQmeJwNkiMc9jUgiOBhzUttO1g0epOOtKeOMmoPKb/AJ6Gjy3/AOeh
p3fYLE2M0lMETkH94f1pVBUcnJoT7oAopKWkIKZKSIXIGSFOBT6ZMCYZADg7Tg+lAFWzeR7OFpU8
uQoCyD+E9xU2T6mobRJI7SJJZPMkVQHf+8e5qUnAJrG5L3JouU392qTIXlulULaWeKR0mQ7M/K2e
lTMzSNyMD0reclHRO407q7B2Mjei0x4leMo2cH04p+McUVz9bsHJkP2WLYyEMQ2M5PpT4bOJz5gL
hgwOc+2P6k0+pLb7rfWrjJuVhoU2y59fwH+FIbdQP/rD/Cpz1P8AhSYyK15I9h3ZT2D/ACB/hRsH
+QP8KsugCE4FQ7T6Vg4WZN5AIVx/9Yf4UeSv+QP8Kk7UVryR7GpCm1p/JIPGT0HtUxt07fyH+FV4
4n/tPzMptx03HPT0q73pKEb7EtuxF9nTH/1h/hR5Cf5A/wAKlBoxV8kewrsqyWEDl2IYlhg84/l9
KqiOOR3Lr8+7nn06VeeZdrLgg1SmXjcCQenH1qHJN8qM5N7otQ2yLGAMjJzjA7/hTpIlRlUdG68C
nQurxKUbcMdaSU/vE+tKcbpM0i9BfIT/ACB/hR5EeP8A6w/wqWjqPpV8kewXZF9nT/IH+FAgQds/
kKDLzwPzp0b7gc9aS5G7WFzDG/dOrKTjvk5qP7lyRkbX5FSXUfnWzpjnGR2qnExktAON8J7Z6fjT
UbPQpMtS/cpxjKIGiJHHTtTWIaPI6Hmn+aAi4B6Ur2kKS0IzMSNrDa36GjcfU/nSMA+dwzTBlOvK
+vpUN82xncsREnOTUmDUcPQ1Lk+taw2KREPpS0UUMYtRz4+zybvu7Tn8qKKQFPT1iXTrZYGLQiNR
Gx7rjg/lU7/d6ZzxRRWXUnqWSAqswUZwT0plvMs0CzcAng/Wiiuqy9m5CbfMkNdgzZFNoorkbuAV
Jb/db6/1NFFOHxIqJNj86SiiugYjj5CfemUUVL3KiO+XHU0DAOc0UUxldYSb4SgDg8k9en/16t0U
VMXdsTGOxUcDNCPuGGPNFFJtqRHUHiVuSOaoXSFeH+560UU+VcyZNRe6ya1eNMRg8Y4FTyf6yPjv
RRU/Z/ruOm7kpo6UUVqUQSLhuOhoiOJB78UUVg9JE9Ses8AW+oFOFR/wBJ9un/66KK3ZRND8peJu
qnj6U0fKxFFFY1NkynsOooorMyJYFABAwKlIx3FFFdENilsf/9k=</Data>
</Thumbnail>
</Binary>
</metadata>
