FALSE
1.0
RoadCenterline
002
1003826.652927
1058451.023665
1952386.171371
1985615.999924
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Illinois_East_FIPS_1201_Feet
<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/3.1.0'><WKT>PROJCS["NAD_1983_StatePlane_Illinois_East_FIPS_1201_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",984250.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-88.33333333333333],PARAMETER["Scale_Factor",0.999975],PARAMETER["Latitude_Of_Origin",36.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",3435]]</WKT><XOrigin>-17463800</XOrigin><YOrigin>-46132600</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102671</WKID><LatestWKID>3435</LatestWKID></ProjectedCoordinateSystem>
20230411
15502300
20230411
15502300
20160302
12513800
Road segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network.
Road Centerlines
X-Ray
Transportation
NaN
NaN
NaN
NaN
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
SHAPE
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
AFEDRTE
Alternate Federal Route
String
10
0
0
The alternate federal route name
AFEDRTETYPE
Alternate Federal Route Type
String
20
0
0
A functional classification of federal route that can be used to further classify the route if different than the ROADCLASS
ASTRTE
Alternate State Route
String
10
0
0
The alternate state route name
ASTRTETYPE
Alternate State Route Type
String
20
0
0
A functional classification of route that can be used to symbolize the route if detail beyond what is provided in ROADCLASS is needed
CENTERLINEID
Centerline ID
String
20
0
0
A unique id for the road centerline segment
CTYROUTE
County Route
String
10
0
0
The county route name
ESNLEFT
ESN on Left
String
5
0
0
The ESN on left side of the road
ESNRIGHT
ESN on Right
String
5
0
0
The ESN on right side of the road
FEDROUTE
Federal Route
String
10
0
0
The federal route name
FEDRTETYPE
Federal Route Type
String
20
0
0
A functional classification of route that can be used to symbolize the route if detail beyond what is provided in ROADCLASS is needed
FROMLEFT
Left From Address
Integer
4
10
0
Lowest address range on left side of the road
FROMRIGHT
Right From Address
Integer
4
10
0
Lowest address range on right side of the road
FULLNAME
Full Road Name
String
125
0
0
The full name of the road including any prefix and/or suffix in mixed case format for Esri Community Map contributors
INWATER
In Water
String
5
0
0
A flag that indicates whether the segment of the road is crossing water
LASTEDITOR
Last Editor
String
50
0
0
The user who performed the last update
LASTUPDATE
Last Update Date
Date
8
0
0
The date the feature was last updated in the maintenance database
MAINTBY
Maintained By
SmallInteger
2
5
0
Indicates which organization maintains the asset
MSAGLEFT
MSAG on Left
String
35
0
0
The MSAG community on left side of the road
MSAGRIGHT
MSAG on Right
String
35
0
0
The MSAG community on right side of the road
MTFCC
Census MTFCC Code
String
5
0
0
The Census MAF/TIGER feature class code
MUNILEFT
Municipality on Left
String
100
0
0
Municipal name on left side of the road
MUNIRIGHT
Municipality on Right
String
100
0
0
Municipal name on right side of the road
ONEWAYDIR
One Way Indicator
String
10
0
0
A code that indicates whether the traffic flows with, or against, the direction of the vertices
OWNEDBY
Owned By
SmallInteger
2
5
0
Indicates which organization owns the asset
ROADCLASS
Road Class
String
20
0
0
Functional classification of roads based on type of service
ROADLEVEL
Above or Below Grade
Integer
4
10
0
A code that indicates whether the traveled roadway is above or below grade
STROUTE
State Route
String
10
0
0
The state route name
STRTETYPE
State Route Type
String
20
0
0
A functional classification of route that can be used to symbolize the route if detail beyond what is provided in ROADCLASS is needed
TOLEFT
Left To Address
Integer
4
10
0
Highest address range on left side of the road
TORIGHT
Right To Address
Integer
4
10
0
Highest address range on right side of the road
ZIPLEFT
Zip on Left
String
5
0
0
Zip code on left side of the road
ZIPRIGHT
Zip on Right
String
5
0
0
Zip code on right side of the road
CFCC
CFCC Code
String
3
0
0
SOURCE
Source
String
1
0
0
SPEED
Speed Limit
Integer
4
10
0
STREET
Full Street Name
String
50
0
0
HIERARCHY
Hierarchy Code
Double
8
38
8
NA_HIERARCHY
Hierarchery Text
String
20
0
0
TURNRES
Turn Restriction
String
10
0
0
TIMEUNIT
Time Unit
Double
8
38
8
MINUTES
Minutes
Double
8
38
8
ONEWAY
One Way?
String
10
0
0
SNOWROUTE
Snow Route
String
10
0
0
CAC
CAC
String
10
0
0
ADT_TXT
ADT Text
String
10
0
0
ADT_NUM
ADT Number
Double
8
38
8
ADTYEAR
ADT Date
String
15
0
0
ADTSOURCE
ADT Source
String
20
0
0
FM_ADDR_L
Left From Address
String
10
0
0
TO_ADDR_L
Left To Address
String
10
0
0
FM_ADDR_R
Right From Address
String
10
0
0
TO_ADDR_R
Right To Address
String
10
0
0
PREFIX
Street Direction
String
2
0
0
STREETNAME
STREETNAME
String
30
0
0
SUFFIX
Street Type
String
10
0
0
RoadCenterline
Feature Class
0
CSCD_ID
CSCD_ID
String
40
0
0
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
last_edited_user
String
255
0
0
last_edited_date
last_edited_date
Date
8
0
0
SHAPE.STLength()
SHAPE.STLength()
Double
0
0
0
Esri ArcGIS 13.1.0.41833
CommunityMapsRoadCenterline
1
-88.261280
-88.059843
42.118048
42.026558
Transportation
Road Centerline Feature for use with ESRI Community Maps
Enterprise Geodatabase Feature Class
dataset
EPSG
8.9.3(9.3.0.0)
0
Simple
FALSE
0
TRUE
FALSE
20230411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