20250706
15512000
1.0
FALSE
wMain
-102.900760
-102.722023
46.844266
46.926582
1
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/3.5.0'><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>0</MOrigin><MScale>1</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>
20261103
08013300
20261103
08013300
250000
2500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 Hochhalter
City of Dickinson, ND
GIS Specialist
Daryl Hochhalter
38 1st Street West
Dickinson
ND
58601
US
701-456-7019
Ryan Fell
City of Dickinson, ND
GIS Technician
Ryan Fell
38 1st Street West
Dickinson
ND
58601
US
701-456-5647
Feature
SQL 2022
Daryl Hochhalter
City of Dickinson, ND
GIS Specialist
Daryl Hochhalter
38 1st Street West
Dickinson
ND
58601
US
701-456-7019
Ryan Fell
City of Dickinson, ND
GIS Technician
Ryan Fell
38 1st Street West
Dickinson
ND
58601
US
701-456-5647
2020-01-01T00:00:00
wMain
wMain WaterDistribution Simple Polyline for the <a href="https://www.dickinsongov.com" target="_blank" STYLE="text-decoration:underline;"><span>City of Dickinson,ND.</span></a>
Routinely edited utility features contained in many maps and apps.The features are referenced by the public, consultants, and employees from multiple departments.
This spatial dataset contains features currently available in a suitable digital format. The dataset may not include all the features that exist and some features may not be accurately located. The layers are edited routinely to make corrections and include missing features and attributes as time and available documentation allow.
This digital data is an approximate representation of actual physical assets, boundaries, and other information intended to assist in carrying out activities beneficial to the City of Dickinson and the public it serves. It is useful for visualization and analysis, but does not represent, replace or preclude any legally binding document or survey.
The information contained herein is furnished as a public service by the City of Dickinson. The City of Dickinson makes no warranties, either expressed or implied, concerning the accuracy, completeness, reliability, or suitability of the information for any other particular use. The City disclaims any responsibility for interpretations or decisions based on the data. Furthermore, the City of Dickinson assumes no liability associated.
City of Dickinson, ND <a href="https://www.dickinsongov.com/development-services" target="_blank" STYLE="text-decoration:underline;"><span>Community Development Department</span></a> - GIS
GIS
Dickinson
ND
Features
Utility
Water
Distribution
Pipes
Valves
Manholes
Fittings
Service
Locate
WaterDistribution wMain in or near the <a href="https://www.dickinsongov.com" target="_blank" STYLE="text-decoration:underline;"><span>City of Dickinson,ND.</span></a>
Esri ArcGIS 13.5.9.57366
0.000000
2440.823000
1
-102.900760
-102.722023
46.926582
46.844266
City of Dickinson in Stark County North Dakota
City of Dickinson in Stark County North Dakota
wMain
Feature Class
5767
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FACILITYID
Facility Identifier
String
50
0
0
INSTALLDATE
Install Date
Date
8
0
0
PROJID
Project ID
String
40
0
0
LOCDESC
Location Description
String
300
0
0
DIAMETER
Diameter
Double
8
38
8
MATERIAL
Material
String
50
0
0
FEATTYPE
Pipe Type
String
60
0
0
FEATSUBTYPE
Pipe Subtype
String
50
0
0
FLOWTYPE
Content Type
String
30
0
0
ENABLED
Enabled
SmallInteger
2
5
0
ACTIVEFLAG
Active Flag
SmallInteger
2
5
0
INFOID
INFO ID
String
128
0
0
FROMFEAT
From Feature
String
20
0
0
TOFEAT
To Feature
String
20
0
0
LENCALC
Length Feet
Double
8
38
8
OWNEDBY
Owned By
SmallInteger
2
5
0
MAINTBY
Managed By
SmallInteger
2
5
0
NETWORK
Network
String
40
0
0
NETWORKCLASS
Network Class
SmallInteger
2
5
0
NETWORKGROUP
Network Group
Integer
4
10
0
NETWORKCODE
Network Code
SmallInteger
2
5
0
LASTUPDATE
Last Update
Date
8
0
0
LASTEDITOR
Last Editor
String
50
0
0
CREATIONDATE
Date Created
Date
8
0
0
CREATOR
Creator
String
50
0
0
UPOBJID
Utility Project Object ID
String
30
0
0
UPATTACHID
Utility Project Attach ID
String
30
0
0
GlobalID
GlobalID
GlobalID
38
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape.STLength()
Shape.STLength()
Double
0
0
0
dataset
EPSG
6.2(3.0.1)
5767
Simple
FALSE
5767
TRUE
FALSE
20261103