20210926
22423300
1.0
FALSE
Adm1_Moz
002
Geographic
GCS_WGS_1984
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/3.0.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</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>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20230201
11452700
20230201
11452700
Esri ArcGIS 12.8.0.29751
Adm1_Moz
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Adm1_Moz
Feature Class
0
OBJECTID
OBJECTID
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.
POLY_ID
POLY_ID
Double
8
0
0
ADM1_NAME
ADM1_NAME
String
26
0
0
ADM1_CODE
ADM1_CODE
String
20
0
0
ISO_3_CODE
ISO_3_CODE
String
3
0
0
CENTROID_X
CENTROID_X
Double
8
0
0
CENTROID_Y
CENTROID_Y
Double
8
0
0
WHO_REGION
WHO_REGION
String
50
0
0
ADM0_NAME
ADM0_NAME
String
50
0
0
ADM0_CODE
ADM0_CODE
String
50
0
0
ADM0_SOVRN
ADM0_SOVRN
String
50
0
0
ADM0_ALTID
ADM0_ALTID
String
50
0
0
ADM0_VIZ_N
ADM0_VIZ_N
String
50
0
0
sum_
sum
Double
8
0
0
SUM_AreaKM
AreaKM
Double
8
0
0
Shape_Leng
Shape_Leng
Double
8
0
0
SUM_Length
SUM_Length
Double
8
0
0
SUM_PNT_CO
SUM_PNT_CO
Double
8
0
0
AREA_GEO
AREA_GEO
Double
8
0
0
Dens
Dens
Double
8
0
0
UrbArSubs
UrbArSubs
Double
8
0
0
RdsLghtsSu
RdsLghtsSu
Double
8
0
0
RoadsvertS
RoadsvertS
Double
8
0
0
UrbIndex
UrbIndex
Double
8
0
0
Indeurbver
Indeurbver
Double
8
0
0
DensQ
DensQ
Double
8
0
0
UrbAreasQ
UrbAreasQ
Double
8
0
0
RdsLghtsQ
RdsLghtsQ
Double
8
0
0
RdsVertQ
RdsVertQ
Double
8
0
0
sum_x
sum_x
Integer
4
0
0
UrbArSub_1
UrbArSub
Double
8
0
0
RdsLghts_1
RdsLghts
Double
8
0
0
Roadsver_1
Roadsver
Double
8
0
0
UrbIndex_1
UrbIndex
Double
8
0
0
Indeurbv_1
Indeurbv
Double
8
0
0
RoadsRat
RoadsRat
Double
8
0
0
UrbRat
UrbRat
Double
8
0
0
VertRat
VertRat
Double
8
0
0
UrbPerc
UrbPerc
Double
8
0
0
RoadLngPer
RoadLngPer
Double
8
0
0
VertPerc
VertPerc
Double
8
0
0
UrbRatSub
UrbRatSub
Double
8
0
0
RoadsRatSu
RoadsRatSu
Double
8
0
0
VertRatSub
VertRatSub
Double
8
0
0
DensityPer
DensityPer
Double
8
0
0
Densityp_1
Densityp
Double
8
0
0
UrbaAreasQ
UrbaAreas
String
254
0
0
RoadsQ
Roads
String
254
0
0
VerticesQ
Vertices
String
254
0
0
DensQ1
DensQ
String
254
0
0
UrbIndexQ
UrbIndexQ
String
254
0
0
UrbIndVert
UrbIndVert
Integer
4
0
0
Sum_Pop202
2020 population
Integer
4
0
0
Sum_Cli_Di
Total clinics
Integer
4
0
0
Sum_Helth_
Sum_Helth_
Integer
4
0
0
Sum_Hospit
Number of hospitals
Integer
4
0
0
Sum_Tot_Fa
Number of health facilities
Integer
4
0
0
Clinics_pe
Number of clinics
Double
8
0
0
HCentre_pe
HCentre_pe
Double
8
0
0
Hospital_p
Hospital_p
Double
8
0
0
TotFacilit
Number of facilities
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.
20230201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