20221127
14100500
1.0
FALSE
TotalPopulation
002
0.000
Geographic
GCS_North_American_1983
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/2.9.0'><WKT>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],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
20221213
23152700
20221213
23152700
Esri ArcGIS 12.9.4.32739
TotalPopulation
2022
MA
population
population over MA
File Geodatabase Feature Class
0.000
dataset
EPSG
6.5(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
TotalPopulation
Feature Class
0
OBJECTID_1
OBJECTID_1
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
STATEFP
STATEFP
String
2
0
0
COUNTYFP
COUNTYFP
String
3
0
0
TRACTCE
TRACTCE
String
6
0
0
GEOID
GEOID
String
11
0
0
NAME
NAME
String
7
0
0
NAMELSAD
NAMELSAD
String
20
0
0
MTFCC
MTFCC
String
5
0
0
FUNCSTAT
FUNCSTAT
String
1
0
0
ALAND
ALAND
Double
8
0
0
AWATER
AWATER
Double
8
0
0
INTPTLAT
INTPTLAT
String
11
0
0
INTPTLON
INTPTLON
String
12
0
0
GEOID_1
GEOID_1
Double
8
0
0
Geography
Geography
String
254
0
0
Geographic
Geographic
String
254
0
0
Estimate__
Estimate__
Double
8
0
0
Estimate_1
Estimate_1
Double
8
0
0
Estimate_2
Estimate_2
Double
8
0
0
Estimate_3
Estimate_3
Double
8
0
0
Estimate_4
Estimate_4
Double
8
0
0
Estimate_5
Estimate_5
Double
8
0
0
Estimate_6
Estimate_6
Double
8
0
0
Estimate_7
Estimate_7
Double
8
0
0
Estimate_8
Estimate_8
Double
8
0
0
Estimate_9
Estimate_9
Double
8
0
0
Estimat_10
Estimat_10
Double
8
0
0
Estimat_11
Estimat_11
Double
8
0
0
Estimat_12
Estimat_12
Double
8
0
0
Estimat_13
Estimat_13
Double
8
0
0
Estimat_14
Estimat_14
Double
8
0
0
Estimat_15
Estimat_15
Double
8
0
0
ObjectID
ObjectID
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.
20221213
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3I9Tm
hmwhxSNkkZ6Gkm2rC5JHCkj8qyQispHkpu4UICfyqpO5LCUSJGdp8lHOMn1/lUt0s4C+QgZ1X7uc
Z9qz7t5Ltg1xpgPlhlGX9h/n8KlgSvPqLldxt+QB949au2smYgG2mUD5tp4rIW1Dk7dPC4AYEvnk
KcY/SrFuklmT5WmfMg8sMH6jr796QjW3BxjFDDO0iord2li3Sx+XJk/LnOKkBIYA8+lADgeSD06U
xm/0hCPpUif6xQevU0h2/bfUBeMdqqKGTMBjmmqAWAzikkLeYgHQ0p+XIxyKQhXY52qfamMQXOBg
jqaD0zTPT360NgPUByMU5l2/d6+pFIi8E4o5bJHagBwAIyQKNi/5NAHrTqYxiARnCjAJPH61IQB0
5qKRsYI65p6ncOB06090FgPWjAzQQfajJ9BSAMehoGfWjn0pQcnvQBFNvZQAm4KwYj1waeZEYZRh
np9KdhUPyE5PvUNwIyuNuGPQjrWqSbsiXKyuxJSVG0kbj1I9Kio5PXk0V1wjyqxyzlzO4UUUVRAU
UUUAFFFN3UwuOooopAFFFFAFxjkZPam3JzbEj+IYpGJAqu77YCT93cOvYZrzkzvTLbEY6YOOtZrA
tu3LjngVeBUnzd3BHWqj8ucZ571E9RMSDCfeNSW4czSk5IOMU0R/KA+Ru/SpoVKR4PWpSAQrskYj
vQflAP8AFTgAzA01vmbjtVAJJ9wY+83AHepFjVDlBgfzqNzhlbrg5x7dP61LuVwGRgV+tV0H0EJI
cMBkjtUpAYZxyetMAIBPcmgMSnpilcQHj6U0Ddzz7GldQ6Y7Ec09AEjCjgYoABwMk0zeHACjBBpW
6HFNVdqCgCUcDk80mcnGKaCc9c04ZzTGNaPcevXipCqxn5TwetIxCqSeOOMnFYia5fBgsukyht5U
kE4AwDnpz1P5VXQDdIx1pKwodcvCIEm0qdZH2B9pyq5xk5x2z+lXNU1VdPdYggaVl3fM21QPr+Bo
UHJ2Q0m3ZGjUM11b267pp44x6swFcvceJxfgW8Y8jbgu2SQwPQdiBVCWIvA0ylAzchVyWB9Pft2r
eGGclds1jRbWp3EdzA8bTRyJIg4yjA1X8wO2dwJPvXHS291LEYhGdiBVVmbG7BByRWxYhBdwSKiq
XUjp6jP9K6IUORNmdfDvlcr7G1RRRTPOCiiigAooooAKZTj0ptNEsUHFOplKDRYEx1FHWigommJE
ZPpUOoSrFprhfvsNqn3Pf+tTSDOVz2rI1mRWlSEsVSJd7YOOT0H8/wBK8+jDnmkejTjzSSMx5buO
BgHkAUY/1zc+45qJr68TdmRgFBCuJCckUsoeX9wokBdCfnfAxx7H1qKSKSF1VhEI3YD5sZUdTg8V
6jpw7Ha4R7FuW9u7dgrTyPvPy5YdPfIwKti4usf8fUn5L/hVW4dDB95cMQoOeOakklSKIuxGAMjn
rT9lT7Ir2cOxMLi6H/L1J+S/4Ux726idWNw2w8MSq8Ht2qp5hKZadt2ORGn8qZMYTFtYuWJA2MST
154pOlT/AJULkh2NI3d1088Z90FNh1G7fd+9QOBhlMeP6/rWFbPcTXCsbQIVckAtjK/5INX4RK88
hkJjLHgDuBx1I+p/GkqVN/ZEoQfQ0YdSvHiGXjB7jZ0PfvTYtYuJGZd8RYEjG3qPXrWfNviYxp/q
iAznktycVXEjuVgSLCo3GQeM+/tnpSdCl/KJ04djcfVbqNQdsR+YDHPc4qJPEVwXlX7OpEYJ3YO0
496ylV02s87+UZcAgA9uD09R+tJPc+Uv2fzCUIGCEJZgeo9jj86l0KXYTpQ7G8+q3WzPkxEjnAJp
G1uX7OZPJQqFJxkjpWZHJNIWRHQqP+WhGT9MetZk18IoWiaKZ8ggur/Lznr2B9qJYekugOlTWtjp
k1wluIFyOxcr/MU0+J4lUboV3MCQBJk/yrIdhNG5hk3RouTv+bP0/wD101gIMROzP5W0gHlWB4Gf
frSeGp9hexgbza4ktsJGtsqASMS4OfTpTT4kjC5NuQN2374rn5XhdxtjdOShGBgN+PHrVS8hd5SN
oAdcgKep6cEjn/69J0IWE6UDoLzxC9zB/ox8hMDL5BbPXHtkVzOozakb6PzXMqBMkkk7Uz/nrTbO
0isld1/ebhyCpBxnkjJI7f1qR5DcyNkqwCk5YZGPbvxk80RpxitFqCgkizabJUUiTMh2tlgDhsYG
fX6/1qw+Ybv94WV2GQ4YEkenoPxqubgshG1Y0jPKrk4B69Mcd6DfOrE5yWATJIJXrwB6n39q2TSN
LoszMsci+ZI6hwSCrs3Pv2FTwTJE3k+bgo2Y3Pf/ACcisyOWOTMcERc7SqsnykY9cHnrV55WZ4yF
jChfuqC+0n24qk7j0e5cbUpPPCG5cEnGQqhQefUe1X7W8kMqpKwZX4VgMc1z1lY3BkYXEjbAW28A
cH/9ZrXsrfcYkiLGOMjLk56e/epaVtVY561KkqbbVjaooorI8gKKKKACmU+kYU0JjaKKKZIUuTSU
UAWmIQs2Rx3NcneTyO8k2AT/AK5lPf0A/AfpW/q10kVmUOQ8rbB7DufyzXMzQwXV1gswTAB4yGPT
HIrDCQsnI9vDx0chi3y3kiGDG5Wwso6cg5/TnmrEexbgsih0wqBg2fm7/wBKjgtY/MeNGCLHkAKo
BOe/8x0qaQTxqmQjqj5yWwfQdveu1X3Z0K+7HywxtPFiNN24sW2jOAPX6kUksaRMsqxLkHnaACc8
VIu4O0koVQBgfNkVEzwNc5eRCCgx83Awf/rj8qplEv2hFZVkDRljgbhwfxHFRyzxF49rB2DfwfMR
x7U9riEoT99R1wMiqzy+VL96VEbLHhRjp680NhckkdmYyxhl2KR86HknsAalMUpZXMvzAY+7xVO4
DNBLLG5dQV2K2SG/X3p9kzyh1eRo24byxj5Qe3PPUGpvrYV9Sz5G+QtMEfjA+Wo4oFfLABImOfLX
oT7/AOFEjmFZxuPCbgSc4pU8yWPERWOLkBhksf8ACq0GNlGzMcK793WIdB7+1OjQToDM29h1XptP
+NKG+zIQ65UfxqOv196jlDM8cjp8p4CoefbJ/pSAdGXRzDDhkA+8T0PofU1A1sVeeNYo2Z13BsBT
npx+Qp0k3lSqkUZjY/QjH0B60z7QiSrIkvLfId65OeCOMjHWloToR6fpwgaSKQSAD7o3AZGeM4/r
UoRDvaUHGSULICWHuSMVHcwzXNr5zSBcqNuwkHk8fzpJ7lkhEdvKWUDDbgAV/H/6340tFoLRIY0q
QwxniRSMgSRkBQeeOBnrUkDvFcNvdiQMAvllAz2PT6/hVNg00UByrbWGWKeo9c+mR0xzVlSjMkES
sjAfMVbOR3GKSYkNmKmWUfMZSTkJjA7ggn6ZPfPas+S4eOEbchGODtODz19/8eKt6hLN9hhlZfkC
7gqR7QGxxyT9R+Nc3d3swBOZIwRjJHHrj/PrWVSViJysa8d5ICm9iUk+Yncclepz39qq3N1HLMsY
WWTJz+7X+LngHvwB1rG+1PcNl2bzmOM56/Wup0m1L5jmUFwSUkJI3gY6H/PeojJz0REW5aDrDTrx
sHaIVZiWcgBh6jA4Nb9vbrbQiNCTjkk9SarrPcEIixjGOGJ3bgO/UUrTXCttYDpk4QcD/vquqKUT
oiki6kfnzxw9mOW/3R1/oPxrYACgAAADoBWXo4eTzJ3DDooDAD37fhWrWU3dnk4ypz1LdgoooqDl
CiiigApG6UpOKaTkUxMSiiimSFFFFAGVq10Vvd2N0cY2EDrk8/4Vnq4eBYvKdiCGfPPfPXNSTufN
iLrvlZiWQepyc/mKJSwjVFtyoZgCMgA/lV04ckFE+ihHljYaQJYd8UYjVclTyp/TtUi3EMkQEjAZ
HIcbc8e9EkpWMqYmBPyjHI54HNSkiKIFv4QB0/CtSyCJY3nOJTKiAEAtuCnn9frTnaMXIJ2jYpDE
8Yz0FKjqm6Rzt3tgZ/z7GkZonnRgyHYCxYHpQBGsnmQSxxIX5YZBGOTn196zbyOS4l+z3Ebbsr84
cjdnPGR24/Q1oNcRGd28/wApguADgFvfmqeoIzqzP/rfLXY4wNp568/yrOWqIlsOhUSqtsJCNxDH
Yvy8EEfjxVuaLbOrZLuwwGOAQRyP61ztpctDsTzFkj5G8g5HBPHIx/8AXrUtLx5keVrQNGox8wAJ
b8SfalGSYoyTL3MssMkgH3ihAPy5GTn9KZcz+RIscMjFnOcLhsc88dT36VAgd4VLITEqleV2hPQ4
78Vbi/1skkUalFwoHQ9O351d7lbitLLmM+YvlM20ttwQeex9+KikWOJmja4k8tl3bVxkHPbA4/8A
rU5/+Pre8DshXIXjg9CevoRUcQb5UiECnBY9WGD0B6f5FAxSXEK+UE4k+RtuMccZx6g4/Guev9Se
S/wI23kj5kAJGPQc8jn3roXR5I0lebCyDlVGBnGf6VVjt4mmbMTA7fMDbgAQSQOfbH61E03oiJJv
YgindoUdioEYGMnceOMH0/SpYEKQ7GWVguWVlGA3se+OP0p6JPAySM0TFW4OzHQHpyOKmWVRZmYY
S4AJAC4zn+YoS7gl3K0pVGYR24iZQSMIp6gcfzqrbWt48TybA0a9NpGSe/T8KmWZHHlGEPtygGAo
45ye5GKlWc7CC0uXTB2LjJ98j0x09DSsmxWTIJLOZ4TjzJIl/wBWSOAMdgeg7Vl3tu9tErBTgqch
hnn3H5Ct0tiBDIWXKYIQYXJ6dTzVNgIMzXK+ZuYNkj5fpz2qZRTJlFGHBpU8RFw0J2oM7SM7iPb6
VrWssEuzdK5YdEY9Tx0P5dKnkdp8SQsJE5JIzwBwOPT3qJrTbIh8xOSAQOnvjkf5FSo8uwlG2xqr
cyiVEwkexCMEggAcc857VYiYSOhPMbMeSMFmHc+1UUCbCTJIqyMQvK8/Un/PvQIZ/MJJ2oBwVXoR
171smzVM6nTXjNoqK37wcyL3DHk1crEsLuMyJOT8jLtJHO0+9agvLY/8tkH1OKzkrM8jEUnCo7ak
9FRC5gPSaM/RhUoIIyKk5woqFru3UkGZMjtup6SxyjMbq2Ou05oHZjiM0EYFLRTEMopSMUlMkKKK
UDigDHS0u5Llitq52rj7y/40rWV47oRaSHackbk/xrfEYTc2eWpcAgZNcv1yoev9Ymc9Na3Zjx9k
lyCCPunoc+tR3EUxhYfZpiRyB5ZOSOcV0uMHFNYnBHej65Psg+sSOclSQmMi3n4bOfJbgYPt+H40
rKWQqbeYgjoYH5/SuiIyoUeozRJx/Sj67Psh/WZdjjXt1mNssnmNIn3lkTcc4IxjGScmoZ9LuZVw
sc8YDlv9W6jjgY44/Cu0isbZLj7QIh5wJO89ietXV+VCx7VTxN9kDr36HlZ0thIkkcbEsfmjVSdv
rxjg1rWVq8GAySLuXnbbt8pB9SPf9K7+MfKDSyHCmkq7jqkJVbapHEkERyxqkxDkYJRj149Keqt5
sx3TIC3A2cfdHqK6zGD81DMO3Jo+uS7D+sPschIkbSqZXZ1CN94Y9PaqhgkLGV5ovlUbVHXA6Ajp
6/nXbqOvrTtvFH1t9g+sN9DiNQlYRcSBwo3BUxyfQ+3+NEESTJEssmCwLBQwyrevH+eK7oHjpUFx
CkoRZEVl3dCO9NYu7u0P2+uqOPuY97QefIQ6SDGDtU544x35oWI2nlsW8xgcDLdBiutFjadDbRH6
qKf9htMf8e0P/fAp/W1vYf1hdjiZlO+SSJSjBGA2kngE59hUQjaCVX8x1gj5CgYx/wB9Dk/Su9W2
t0OBbxEe0Y4rE8TCOC3hKIIyzFRsUZyRxVRxHM0rAqt3axhELsZ3kfATIVlKk89OgJoEokDHdGzO
NqvIcdOwH9aht/Ntp/L3ncgx5hHUf3STnmp4yM703P6JuyFHrkdDXQjZFK5gluUlaHCHacsCqqcd
fw6fnTYoLhoFTed5I+Vvunjr0xk5HvV8yReaVSV5Tn5hn7wxz/Smrb+ZIrJG+OQ4ckAEHAx9MUuX
UVhrEIVKuhEi/OOF+Y9iQM9ac8SkMFnWPY4BCgEH0PfmrC8RCOaMBY/kZx8xP+Gf61DKsaBoPLcE
Dch/uj6Z7VVirDrHdCzyHcE3YcEnqe/P1/WtXFZVmp8zbPCcSZA3AnBHufWrsMwMjR5LKDhWPr3F
XF6FR2J9oPYVAkMTXEreWmAAv3R16n+YqSRyDsQZc/kPc05ECLgEnuSe5qmkyrJlWaZ4N2cKB90B
c8etCPMCvmRjf/C0ZwfwP9KtlQ2MgHHIzUVySqKwAyHHU4FJolq+5es78kqsr7lY4VyMEH0NaVc0
rEnzSUMUh2sFzwegP9OlbVhOZI2jc5eM9fUHof5/lWM421R5mLw6h78di2eaaRinUhGRUHAxtLmk
xRTEWpXG3jqeKBgAD0poXDZbqentTh1ryj0AdeAc9KANzZFSBcrTPmRsEY9KdgEZSpz3ppGTz9TU
jH2pVRhyR16UgFHJAHeo766hsoVkmbbHuCk/U4ok5IA6iqrQSNeJI0o8lQMxkZ555/l+VXEroRDx
XpHkLIs0jEqrbEhZiA23GcD/AGl/OkbxTphh3b5Q5Tf5Zhctj6Y9QR9QfSrg0ywQELbRDcMEbB7H
+g/Kmtptk27NtF8wwflHSm2BKjedEsgOA4BA9jTyuDjGPSkUbFCheAMcU4HK9DmoENIAFKeec0pU
n2pu09/WkIcDke4ps3RD/tClUYByKZKuNnX7wqkMUHnNPBOORSgAMDTjtOMCkkBGZCrHjj6Vzusw
prMciLM0Ztkdj0OTggHv0I6Hn866CYFWBz14xUTjBBwD6g960jqwb5Vc5W3Ta7BbVVbC5JCgZ9eM
0n2ZZZpg8g83oBtGAMdcfU9a07nStjSTWzyEAf6rd1HoD2/H9K5y/vBa27Ow/eb9qln+dvbHPtXp
RqRaO2FWM1dEkFrbQRiVCqtu8whcg9OOeoyOcVM1mCxVYV3yAsCWyVPck9+1TwJ5dgnlzxtGUxuZ
cZ49c1U81Y0jjlV1d8KZHOAgPHHT0qrJIuyRbtlVIzDuOx1ON2MjHBHvQhhaB0d8yIwLHOTu4wf5
U9BBHlZRGWXkEL1HrUDLIUjdol27y24AMAD6j8qoomuZv9GUNgTNggKw+UjvzVeGRjcosYVmAwQD
0OOpGfcc02Rz56I5t9oyfl+UEfrz+FPETx2on3gtksFJ29egB60rtsWrNCOPYDk5Y8s3rT6oLeSo
ib1DFuBu+XPv3H8qteY4HMLfgQf61aaLTRLTJolmjKMSAfSqcmojaTEvy4yHZTg0huJGQ5lOS+3E
cfT65o5kJyQ64XbLKA5VWQbhvAGenORV7T5v3sEuQd42MR0P+SKyw0Zu1MPzSKpyWG4k/nkVetWJ
WN8FcS5APbmoeqZjVSlCSZ0FFFFYHhhSYFLRTAnUb+fSlyBk9RSoMMGzwwpCME15Z3DgfXpQxDEA
tnB701BtyWx7Uy5DSQSIrbCVID46Gmhoz7rxFZWV+9lN5iSqNxOOMAZ6/TJ/Cof+Ev00QFhJIz7W
ZVERJYAsMj/vlvyrQjsk+z/6QsUzHOWePr19c9jipIrCzWPcLeEZHXyx/hVK1xmafEGmrIoaaTc7
Mu3ymyCBk5GOMAE1qwvFPEJoiSjLlCR1qP8As2zKlVt4eVI3LGAQCOQCPqasxxrFCqqAEUAKo6AC
mrIGK55qLlTk96cWBJ9KACwyelQ0SL1BpR09qbnHSlwSMg4zQMd7Uh6UzJyBk1JgdqAE7Z9Kil6K
f9oVNkZqKU7go/2hQBIOe1NUsOnA7UDpgd/0qsmp2btgTAYz1B7UAWWBlGC3T2qCSNY5dvJXApy3
9rK4hWVGZuAPXjtVRry2XcTKABzz278/gDW9F2epnVTa0LXlsrsAeNuT9KxNa0DT57OW/aH/AEkD
IIwQT0GQcj61tRXdqB5ZlBlkJUAc9Af8DT2iE2nyRkgblZTVSl2CC5WjkXiNuI3jhjTbhCeCSDwP
1rH1qS7mT5BkbgW2YJGDwfUda1pGgaz3lXJKgqWzjcen61I0Qd02W6xorZLsMdPavQlHmVkeo1dW
RTs7kwJC1yknzRgbvvcduB071cUOieZE20MAEjLbgT/T8Klco/3Ilfb/ABMMKPxqE/JJ5sbhm754
Qf8A1/zp2sNKxG8JS58uJtrOoBJH3jzk1HcsJXWMuoCZG5SBnp2P+etK8jzkySg27cAdzj2wakjg
RdrebNjgD5Bjr9PU0hEMDPtKb2ORtJCbwFAxwQPWmNYXKhJI0jBVCMYH4fWt21sXc8q0aHlmP3mN
XP7Ogxj58+u85qG47HNPE04u25zS2RKqx8uGMKAdyAEj3qdLRFiK+a7x5ydqblz05PIroYbOGFty
qWb+8xyRVO8leS4eEnCJj5R/FxnJ/wA9qE7uyQoYn2k+WC+8y5oREhVGJJDN83r2xjvkir1hbkvF
FkkRYZ2PPNQmPdchsluBhAuTmtiyhaG3AcYZiWI+tVN22KxdVQhZbssUUUVieQFFFFAFsAlQcY9K
bhh0x701TgUoz2rzWzvAHaQD1PrTmPb1qNpOenHekV/3g447e1AEr4PGaYTtjC5pGfI4GKYp3twO
B3pqN9QLCLtUHPUce1GcDB6UokBGP5CmkeuR9aGDGsAaRSQacCMcH8RSZA60kn2EKBls9qkEeDk4
GO1QBysoG4YIzyaWSYZ5O72WrUH2FzJbj3IPIHA607GBUCSIIyrKScdaQTNgDYG49av2MifaRJyR
1JFREPLJtVMKrDJPBphZ19B+FEczJuJUFm60/YyBVolkDHAFRG0tzn/R4+evyCmNO59B9BTCxb7x
J+tNUH1ZLrpbEvk20WZBBEHHIIUZz0qqbeBt2YIju4I2DBqTFFbRpqJlKq5DPKj3h/LTcMkNtGRn
rj8zT8nGM8dcUUVaSRF29zJvraS3V5YgjRlgcHjbk/481Rnhdgud0hJ5wQAv0FdGyhlKsAQeCDVb
+zrfOcNj+7uOK1jOyszuo4zljyz1MURSuRvAOOm45A/AcZpzKQwGd8pHyjHCj1xSTL5f7hMsY22q
B0cD1/z1pQdrMIgqgfeY5bJ9BWqaPRjJNXRFcRSR4ljYOxIU+Z2zxx6dadHHJGWHkjyyoGFbnIzz
256flU5tLiVQCJjyD90Doc96V7e5jUu/nKo6nCnH5UrxI9rTvbmGRSyws7hiroN33yQfY561qS6p
ZQttkuEDDqBzj8qxRIrBwj7t4wXfAAH0708qUjAtGQbeSox81TKCexjVw0KrT2N63uYLqPfBKsi5
wSD0qlqLq8ghEalgu7ec5AOemOexrMW9jMoQiRZj/CoPaka/iNxgu7zD5MOcY796lQV9zKng+Wom
3oXrG9jiQMBG0LHl0HI9z61sVzap5P73IYOcyFen1rW0+YkG3bqgyp9V/wDrf4UTjbUnF4dRXPH5
l6iiiszzwooooAmyATk0u7gkHp6VXLc8DNLlvWuCNKUtTslOMSC+uFSMxM5V5QVVhgYPTP6jpzWM
NE1ZNONuNWYsQyhj/dI9evWt/AJyaWt40Lbmbr9jA+x+IH3sdRC/MAF2ryNwyc444zxVmGw1NZYm
m1IuqPllVQoYYHXA+vHvWtRWqpxRm6smIflU4GSO1VWuplDH7M5VRnJbHYk/rxViYExNh9h/velV
jDdHOLtRkc/LnBxj+lXYzdyzE5lhR2QqWUMVPUe1PqKBXUPvlEjFj0GMe1TKpYnaM45NGiBXYlHW
l27oyVBOOSf8KaPU9fpSUrjasLSgkdDilQKxwxI9KQjBIp+QdLiUUoBY4AyaSi4goAY52gnHJxRR
yOhIod+g1a+oUUUUCCiiigAooooAy7rTZGdmhIwWLD5sFSetSWdg0civKFAT7qg559c1oUVXM7WN
3iKjhyX0CiiipMBoRBnCLz7VHNaxTqAy4I6MvBFTUUDTad0Zk2mORhSkq+kgwfzql/ZTo4K28oKj
A2uCP1Oa6Ciq5mdMcXVXmYKWE/3PKmK5JwzKBnOecda1LO1MBaSQgyMAOOgFWqKHJvQmriZ1FyvY
KKKKk5wooooAOBRTim45yQcdMUqoAoBGcd6x9vE2VGTGUm4Z7/lUhjU5wT049qdwAAOlKVddBxoN
7kQOegP5UoVm6Kx/CpkOHHep2Hz5yOnFT7d9ivYLuUZLdpUMbRthhg8VD/Y8fP7pueuXP+NaayEn
H6mlw7Z54NHt5B7CPUpxWUdpHycAtkrnOafJNldsY2L3wcUssaJ1kYnHc5qKKREky/I7Yq07q+5L
XLotEOSFnIbjB9af5AVG3YLEYHtSyXGCPK/HIqJ5Gk+8c+1K1SXkF4R8xNqhB8+WHbFIuQxJwR2z
RRWsY2VmzKUru6QpJPfj07UlFFUlYTdwooooEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFAEnJOc0fjSb19/yqNpdvPy4riVOT6Hc6sV1Jcj1o6jgmohLjkN1pM56Ka0VB9zN
4hdiXcAetPaZSM5wRyOKgwT3x9KAoHbP1q/YLuR7d9h6z4zsXPoTThczcZ2/lUdFWqcV0M3Uk+oj
DcxZiSfrS4Aooq0rEt3CiiigQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU
UAFFFFABRRRQAUUUUAJtHpS4HpRRQAYooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/2Q==