<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220901</CreaDate>
<CreaTime>12104200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>HistoricalHousingSurvey1937</resTitle>
</idCitation>
<idAbs>Residential buildings have been colour coded with information about 1937 building conditions.</idAbs>
<searchKeys>
<keyword>Historic</keyword>
<keyword>Housing Survey</keyword>
<keyword>1937</keyword>
<keyword>Wellington</keyword>
</searchKeys>
<idPurp>This map service contains georeferenced central Wellington City maps depicting the results of the 1937 housing survey carried out by the Wellington City Council.</idPurp>
<idCredit>Wellington City Council</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+Pn6/9oADAMBAAIRAxEAPwD3+gAo
AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA5xppMsPNfqe5rmbZ2qMexnX126CVRNtbbncWPH9a
G21ZFKEb7HPMnnTKbgeYQwCluS2T6/lQrtXNnGNrxLV1p6w8xoDu4UIgGDnjmlyroVCfNox7w2Yi
EQhjeRgHDAZBI6/oKzSYLm3exMbW2e2UmJDJnKiMc9MY/KtLMiE5RdkNsozG7kOMEDoBjgVhUetj
Ru70Op8Pcrcc55X+tbYXZnHi90bddZxhQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQA
UAFABQAUAFABQAUAFABQAdBQByM86xEAk/Nk4A5x/SuY9CMW0Y+o3dqzZTLOy53KMnHp9adilCWz
K8QndIo9yqyNhWJHOOx5JPShJdSm7GmYLvOQFcEfdLkc+3FJyREHG2pUDToHDohSMHMgYYByfx68
Gs+V3umapp7F20gdpN21VjAA65zx6/p+FW2jJu4sw2zlVHH8qwlqy47G74dXEdwfUrx+ddGG2ZzY
rdG3XScgUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBV1L/j
wl/D+YqKnws0pfGjnJ7s28f32Hvk4Fc+uyOtRTZkJFNdtK+5nwdpDcqR3GDRrbU1bUbImt7ENO4a
MKgxxgHJ/pTT0IlJsku0is/KdFKruwVHv/KlcIq5aVlQKdxx24pPclELWsclwrSRo4BGNygnPano
VzNKyZ1Y021C4EWPxNb+zicXtJDDo9kzFjEcn/aNJ0YMpV5rqT21nDaBhCpAbk5OaqMFHYidSU9y
erICgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAKepkCwkz3K
/wAxUVPhNKXxo554/OUq33fpWN7HUCIEQKuAoHAxUdBszbqSR5REzbN74UAdRVpdTSK0ugkmWSIe
cd7xjK7F7jvRbUbjroSQkJboTICBnBz1/Opepn1LcDFpFYnA3DHp1oEzsK6zgCgAoAKACgAoAKAC
gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAEZVddrKGHoRmgE7EUsEPl
P+6T7p7VLSK5n3MLMSKWbaAOpNZKK7BzyfUxJzA+otvcRrnkhhkYxk/T1reMVy6Iv2krWuWbqG1t
0CqqszHYdw+9ms+RSldrYn2k7blvSLOM3UUUsaldpIXtQox2sHtZvqb402zHS3QfSq5I9g9pLuW6
ogKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAGT
f6iT/dNDA5K5Wa4fyI3CrsJJ75zx/I1MbJXYLTVme9o5ufuhTwcDoDn8euT+QqubTQq9kG5luh9o
JbyxuztJOSCOgHPAPSpjzMl3exvaKA14pwo2oQPXFPqTE6KmUFABQAUAFABQAUAFABQAUAFABQAU
AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBBettsZ29I2PH0pPYqPxI4i1ZyGLF
txA+bPWuNt2O+Sje1i3JBF5G9mdcDcWDke9aweiZxT+JpGTbhhIjF3dVJbEoJZvX26Y/XitnNfeD
skdF4cZnutzBlJj6N1pLcz0OnqwCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKA
CgAoAKACgAoAKACgAoAKACgAoAr3/wDyD7j/AK5n+VKWw47o4uFAqHjGTk1xN6HfrfUrajdwlI4H
ZWVvvLxkdPX8vxrppJqKZyNe+xkVuDCCzjHXBAwfbP8AwL1p/aIk7HQeGhIbyZpJFY4OAoxgZ4qr
q+hOnQ6iqAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAC
gAoAKACgBkoDRMCMgjpQBh3f7oF1hjIxjBAH6/lS5YsqLvuzH2r5pRxFIwIwuPrnJ9MkD8O1W4rl
silrqjJ1Rlh1NIdxOyPf8mRt9SB+Nc7baubU4xaNjQ5iJZXLkgn5QW9v/rGppXbYYiKSVkdFDM4n
jUscEjua0vqc3Q060EFABQBmavPLD5PlyFM7s479KGNFGS7uljJFw3J4rNS1KsrAt9ec5uG/If4U
OTuCSGf2neIhZrgHr1UVcn2BJMzrXX9Vub6TLqluoBUFQS2eR9PpWE5uJ1wowcE2dDo17PeCYzMD
tIAwMetOhOU07mOIpxhblNStznCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgBkkqRLukYKM4y
aErgM+123A+0RZPQbxTswHiWM9HX86QCCeFukqH6MKLAODoejL+dACllHVh+dADZGHlMQQeKEDMS
7ukiITvkBvp+VJ2uEUY0szeb55jVUXc/UBv16/j6+9OTadmXF30MfVVWTU5ZAAkxIHHOOB7etZdD
pp7WNTQo2UzZH3lX5c9OTz/Woo/EycVsjobZ1N3EMHrgAjvWltTm6G1WggoAxtQ1f7HctG0iIP4Q
2OeOaht30KSMPVNeSZI23byrEDaMY6Zz6VaTZJAdRlFqJZGjO8gKkfOBnqW6fyrOMPesW9h66nCE
zktkHlRkf5/wNEoPmsOKdig9697aOg2oHBAJIbd68Z9M1q42Jhe5NZRMlocKBu5xjA6CuOpuz0IO
8UdH4XCiC427cbh0qsNszDF7o366TkCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgCjqxAsst0
DA/zqo7iZgwndcI6leoJ9D9DVvZga5KsMggGswKB8v7Q0YbLEltoPSqu7DsSLdRxhoxyw5x3rKSu
xopXctzIVJQLjjaG+vX9KzmkkdWHSuNtpirAuThAfMdiNo/z/jWdO7mjWskoMjv5ofOAVWMh79h/
+v8Aoa70mcMSs3DSKn+tLZJA+6Pz478+1ZT79inoV2kjkuA/kqzFcZcdF7c/iK5JTblY6aUbQLVs
4WWR9ixMOMhuqjofat6SWqM8TeyRct1lM27zW4yVy+cflWqS5jmvoW2upQCPMc8dif8AGm73BBFe
SAspkYbQMZY9eev4YrNsaRg3xW4vpDK2XbhueTgdBWkbqNykRLbWq7Y0iRwr7gGAOP8AOKcaml5a
CualloMUq4nXC9VPcjHf6+lSp3d7DlLTQsXGjWse50heRiDxuJ/rgUbvUlSdrEVlosKIWli2DHCB
jx+tVPUEzWttEsZrdXeI5bJ4cgdaxdOLNFWmtjStbOCyj8uBNqnrznNOMFFWRE5ym7yJ6okKACgA
oAKACgAoAKACgAoAKACgAoAKACgAoAKAM3W9xskUAkNJg+wwauG4mYMcYDqyZXGAcjIxVOQJPYsG
ORm5kwzfdUdOKltLYpE0cHlAlUyeecVK0QnqJdW6PblmHzJ83vSvqVG9yrNPI0ATyyF24V2bnOO/
pWVRdjooK0mUY2ZMl2Yow+baRxjvjrSpazR0VmvZtIZNMGkLwglWIPKY5Pf3HX8+1dzR5sRJZpZ5
g671HAUEYwOvQ8+n055rnlFq7WpdlaxDdMsDLhfOwmC3Qcnpkd6wnZN9zqoaxuxIJpBHlXGTgklS
OPT65/SrpWSd9zPFJ3Rbi1GG8uURW2yRntya19ndpnO00ixeagYZVEfTHJYc/kacuwoq5BPd5V7Y
bi8YHKIW+YZJ9T/nHcU3TTWvUuMepVC7mDBT8hCluF7Y6dalRaXLcXUnspvsmGkUSdTlM/jj8/8A
OKrlTei2FLVnTwNkK23GV6HqKhbkyFcfI3J+tHUXQY6/KMHjvTkCNGzGLOMegpFE9ABQAUAFABQA
UAFABQAUAFABQAUAFABQAUAFABQAUAU9R5gUY/i/oaaGjKWKOMLv/AD19qctRlqKEBi209eM1mkM
1IhiJQfSqRDOd8Qk+ZKFIyVAH41jP4jtw2xjwu0jiLGRJ8oXOM9+nb/63vV01ux19ic2Vx5UpwrD
PCY656+/vW111Oa6IPNby3VlKZYANnggenp261V0GlxjtKJ1cOjDcWQdffkZz3FQ+a1g0K0sySlw
mI3ZNojLc9Bx9cmuOTblaP3nXTj7upoW6hy0R2vIeAFB6fjV0W76mFfWw1YQsTuqRpIpwcrjI9f/
ANVb8ztYzg7uxWSVHmM4lDIAMjPB5xj8/wCVZO/c6OVdh0crRf6VuI52fNzkd/8APtWUOe1mzd04
bWJI3Tzt5hLcDJBGVPp6nHr0rrjflSZxSSUnY0dLgS6YmVFIByctyCP/ANf8qJ+7sRZHQwxJvHFR
FkySJzbxEYKcfWqJGmzgIxsOP940ASoixoEUYUdBQA6gAoAKACgAoAKACgAoAKACgAoAKACgAoAK
ACgAoAKAK16heNcAnB7U07DRQNuzlco3B9KG9BloKw/hP5VNwLkf+rXPXFNEs5vV7eS41SQYfy9o
5VT1x6/lWU9zsoySgOtrZZo1JiYbMbdykEYP/wBanTbTZNVloRYjPUDOa0bMDGvIo3v03jcCNuM8
dj3Psf8AJrSOw1sQRTRRQ3Fw4HnSclSuQvUj8s4pyvbQJdjNS1a4mPLkZAIJP4j8AOo68d65aiip
HbBpQOpsUVYzhAcYH04pUzmq7lG9ihuLMgs8LEZBQnOCc5/z6VvLREw0kY+2KErC8zuxOSwIPOPT
txz+NZNdWdCd3ohWEahWhRtjLjawH5k+uO/Xn2qLHTe69CzFEuEkGVwBzj5vf6/jk8dq7IX5dThq
ayZ0OjWvl2zSMoV3PYnp2/z9Kyqu7sZuVzWiGHFREmRYqyAoAKACgAoAKACgAoAKACgAoAKACgAo
AKACgAoAKACgAoAKACgAoAKACgAoAKAK2oD/AEKT8P50pbDjucrdWMM8gLls445qVJpFmXqCMoEZ
Z2IJw7LgAZ5+vFJR5kZvUs6S5MiRoCFRBndnn6Z/GpnG2oPRGpPMqI6q+Jdpwo6k0qae5UNinpzR
GJx5zPNn5gxP4fpitZp3LZDfWiNJvQFZQMkqPvex7dqatbUIyaZlec/2YrCSRjBy54/EHn0xxU2S
3O+95ajrb7TJeQwPK5x95sngccY7d6xc2tEynGOrsd5pI3RybuQCAM1VFuSdzgrpJqxohFDbgMGt
7GFx1ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAVdRJFjIR7
fzFJ7DjuYDOo37uwzz2qXsWzCvLiSaRY4sjJ+V9u4n6fp1I6UQSS1MrJblqxnS3kEEvyuvAz6dfT
1/pSkrq4NaXKt75g1B5nZUQZKtH1PYfU8VpStaxpBXVhlyWUBHCt5jqMjqw46j1z0q0luUttzbMU
TAMckgcAn2x61DehKjeSZVn06CQ7gMMO6nrUJ9TrV1sRWtvHbXkjlsljheOgrB6mrd0dZo5Bgkx/
e/pWlHZnHiN0aNbGAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAF
ABQBBdjNufqKGBk3gL20ig8FCOR7VHUaMS20VIIi3nyBimGYAA7uOc+ntWkptmyZRkLQ3cqSYIwH
yVwd3I+h6ZxVJXVwt1ISVj8xpUd9yb41bLKrjoN31AP40N2WgT30L+kKNQvo2ddxj+Y7Tlc444/E
frWWt2RPSJ0RhXeigL1GQBWd9TJNmt9mgznyI8/7grWyL5pdxpsrUtn7NFn12ClyrsHPLuSRxRxA
iNFUHsBimklsJtvcfTEFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAF
ABQAUAVNRcpaZXruAHGaAMlpJCjl0IG0npUW1GjOv53XTpjH94fdLjIHI9MVa31NYrUxInxuJQyM
jcMcfNwOM/rWjaaNLO46725iITcTHuVMEZJyO/pkUovQiV7m54URDezuYyvy4BYnnpUy3JntY6zb
FnouamyMh+R60wCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK
ACgAoAKACgBG+4fpQBQnhjmhKSKGQ9QelK7WxS0MeS2i3MFjTOTjcOhrK+p3w+FXKxEQZS7J5ifK
Rt+XjnI/z2raknbQ58R8Ze8pLdAMdefl9e9OK6IwbHRFJJEIBBz3oldAtiOGUNq88eZDtwOc7RwO
nHv70SXuIaWlzoohiJB7CkiGPoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA
KACgAoAKACgAoAKACgBr/cNAFRgcgHP61Nyjn9QuxBMqlWLO5Hy4zWdmz0aaTS1KFrGZXV/tOyMA
lPU5znp+AreDtEwxDXOaTXQmJj3tlCRubv7+nerWhytNENvdRR3Kb5geeg5zSlqNRZI987yFvLjQ
B+ZQoyFIPPPTjFKyNIxOmtSRawh3DOEUMQepxzUmL30JqBBQAUAFABQAUAFABQAUAFABQAUAFABQ
AUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBxusgS3MsahTuO0598/wCIrWGhcSqqW7S/
x4boVJwOvvz6d+lXrYb2EY2jA26xHzGYjzB8pXHT6dB+BqUmtUJXLP2JYZY135AUnOTuOBjnJ9Sa
TbkPm0KEa/M3lyKsYOD8xGRn5eR7CrfoUrFzRmjN26FiTIu7qSOP071E1ZXJlGx19mu23AHqayIZ
YoEFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAcfr
yrJIEABLFgcjPB459ua1gXFmPdRQBgYpAQ4MoV07evPp16VrFvqVe2hKuCgZnbdjDOnUN2A49MVN
7CbtoTQ2fnh1kDqCf4m3E9ucjp0/Kp59RuVkVwoS8EYffsbbkHkdeAT07/yq29Lgr2LdkoS5iYA9
cEkEsPXJ+pA/Cpk9ByR2dmMW4+prAyZPQIKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA
KACgAoAKACgAoAKACgAoAKACgAoA47VbPz74ySDMP3CAfm5J/nkflW0JWVhp9jLvbIbpSksYC4O8
84X8/wAPwrSMmD1ILhIo7fZ5eQctuyTzjHJx6D+VF3q0S9ygghhVX+6qnJ3HBJPTAHvz+FXq3YqO
5oRxKk+7MrgnazMOp68e+AfzqWyostJMqyQmDdLyZAojPyjPI55/i/z0pO9tSbK52+n4+xJiuViL
VABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAjMqKWY4A
70AM8+L/AJ6L+dK6CxizKJTzjG7PH51VwM+8ggfIdCUJ5KjPOMVpGQa3M/VIImjSJE5L9cEnHOe3
StISE7oyoEeUSQmKQ7OcKowec9wferv1bKRej88wcojCHAKgYOQcAkc55HtUtq5SRp2CK5ZhgNnt
2qJkWOqshi1SsALFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQA
UAFABQBDdHFu2fahgZkrKqZ4H1rKxRjSSNJcOY5MY4A6AYx69a35dClZLUkNzPGFUeWf905J/wA5
qeVBoJa3c8lyI3WPBPOOT0P/ANbtQ4JK4NK10RzS3Fsxgt4GkYE4wpOAT64x0ppJ6tglctWtvIu9
ZVyzKu5gON2OTUyYPyLsFvHApVQeWLE47k5/rUttk3NW0/491/GqWwmT0xBQAUAFABQAUAFABQAU
AFABQAUAf//Z</Data>
</Thumbnail>
</Binary>
</metadata>
