20230525
09512200
1.0
FALSE
Subblock_b5_SUBSET_Merge
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>
20230621
19470300
20230621
19470300
Esri ArcGIS 13.0.0.36056
Subblock_b5_SUBSET_Merge
Subblock
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Subblock_b5_SUBSET_Merge
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.
District
District
String
255
0
0
Upazila
Upazila
String
255
0
0
Union_
Union
String
255
0
0
Ward_Number
Ward_Number
String
255
0
0
Supervisor_Name
Supervisor_Name
String
255
0
0
Sub_block_No
Sub_block_No
String
255
0
0
Field
Field
String
255
0
0
Total_population
Total_population
Integer
4
0
0
Target_brith
Target_brith
Integer
4
0
0
Target_brith_male
Target_brith_male
Integer
4
0
0
Target_brith_female
Target_brith_female
Integer
4
0
0
total_0_11m
total_0_11m
Integer
4
0
0
Male_0_11m
Male_0_11m
Integer
4
0
0
Female_0_11m
Female_0_11m
Integer
4
0
0
Female_15_49_year
total_Female_15_49_year
Integer
4
0
0
Dist_to_UHC
Distribution center distance from Upazila Health Complex (in km)
Integer
4
0
0
Trans_Mode
Mode of transportaion
String
255
0
0
Time_to_reach
Time required to reach Distribution center
String
255
0
0
Dist_to_VC_from_DC
Distance from distribution center to vaccination center (in Km)
Integer
4
0
0
Time_to_VC_from_DC
Time required to reach Vaccination center from distribution center
String
255
0
0
Name_HA
Name of the HA
String
255
0
0
mobile_HA
Mobile of the HA
String
255
0
0
center_type
Type of center
String
255
0
0
Center_name
Center name
String
255
0
0
Priority_area
Priority area
String
255
0
0
area_type
type of the area
String
255
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.
20230621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