20230504
21530400
1.0
FALSE
top_communes
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_UTM_Zone_31N
<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/2.9.0'><WKT>PROJCS["WGS_1984_UTM_Zone_31N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",3.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",32631]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>32631</WKID><LatestWKID>32631</LatestWKID></ProjectedCoordinateSystem>
20230505
00343900
20230505
00343900
Esri ArcGIS 12.9.4.32739
top_communes
niger mobile money
top communes niger
File Geodatabase Feature Class
dataset
EPSG
9.8.8(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
top_communes
Feature Class
0
OBJECTID_12_13
OBJECTID_12_13
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.
OBJECTID
OBJECTID
Integer
4
0
0
ID
ID
Integer
4
0
0
NOM_COM
NOM_COM
String
25
0
0
adm_01
adm_01
String
30
0
0
adm_02
adm_02
String
30
0
0
adm_03
adm_03
String
30
0
0
rowcacode1
rowcacode1
String
21
0
0
rowcacode2
rowcacode2
String
21
0
0
rowcacode3
rowcacode3
String
21
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
ISO3
ISO3
String
3
0
0
ISO2
ISO2
String
2
0
0
OBJECTID_1
OBJECTID
Integer
4
0
0
OBJECTID_12
OBJECTID_1
Integer
4
0
0
COUNT
COUNT
Double
8
0
0
AREA
AREA
Double
8
0
0
MIN
MIN
Double
8
0
0
MAX
MAX
Double
8
0
0
RANGE
RANGE
Double
8
0
0
MEAN
MEAN
Double
8
0
0
STD
STD
Double
8
0
0
SUM
SUM
Double
8
0
0
MEDIAN
MEDIAN
Double
8
0
0
PCT90
PCT90
Double
8
0
0
commune_name
commune_name
String
8000
0
0
Yesses
Yesses
Integer
4
0
0
Nos
Nos
Integer
4
0
0
Total
Total
Integer
4
0
0
Ratio
Ratio
Double
8
0
0
MEAN2
MEAN2
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.
20230505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==