20221128
12082500
1.0
XTools Pro Metadata
FALSE
KZN_Wards_ExportFeatures
002
0.000
16.451890
32.944985
-34.834170
-22.125030
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<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["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_Web_Mercator_Auxiliary_Sphere
20221123
10543700
20221123
10543700
150000000
5000
ItemDescription
Esri ArcGIS 13.0.2.36056
KZN_Wards_ExportFeatures
1
16.451890
32.944985
-22.125030
-34.834170
The MDB delimit wards to all municipalities that qualify to have wards in order to deepen local democracy and promote local governance. As in the case of municipal boundaries, the MDB follows a lengthy consultative process before final ward boundaries are finalised in compliance with the criteria provided for in Schedule 1 of the Structures Act, 1998. The MDB provides draft sets of ward maps to stakeholders and communities, and convenes meetings with them with a view to reach agreement on the ward boundaries before the commencement of the legal process.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Ward boundaries for South Africa. The boundaries were updated in 2016.</SPAN></P></DIV></DIV></DIV>
Municipal Demarcation Board (MDB)
Wards
Ward Boundaries
South Africa
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>No Constraints</SPAN></P></DIV></DIV></DIV>
File Geodatabase Feature Class
0.000
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
KZN_Wards_ExportFeatures
Feature Class
0
OBJECTID_12
OBJECTID_12
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
Integer
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.
Province
Province
String
50
0
0
CAT_B
CAT_B
String
50
0
0
WardNo
WardNo
Integer
4
0
0
WardID
WardID
Integer
4
0
0
MunicName
MunicName
String
100
0
0
MapCode
MapCode
String
50
0
0
Join_Count
Join_Count
Integer
4
0
0
TARGET_FID
TARGET_FID
Integer
4
0
0
FID_1
FID_1
SmallInteger
2
0
0
OBJECTID_1
OBJECTID
SmallInteger
2
0
0
PROVINCE_1
PROVINCE
String
3
0
0
CATEGORY
CATEGORY
String
1
0
0
CAT2
CAT2
String
25
0
0
CAT_B_1
CAT_B
String
6
0
0
MUNICNAME_1
MUNICNAME
String
30
0
0
NAMECODE
NAMECODE
String
38
0
0
MAP_TITLE
MAP_TITLE
String
46
0
0
DISTRICT
DISTRICT
String
4
0
0
DISTRICT_N
DISTRICT_N
String
25
0
0
DATE
DATE
Date
8
0
0
Shape__Are
Shape__Are
Double
8
0
0
Shape__Len
Shape__Len
Double
8
0
0
Shape_Length_1
Shape_Length
Double
8
0
0
Shape_Area_1
Shape_Area
Double
8
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.
20221123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