20230907
12474000
FALSE
RoadCenterlines
002
1007609.695230
1054163.736964
1818421.833985
1877370.723961
1
Projected
GCS_North_American_1983_HARN
NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_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/3.3.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",45.83333333333334],PARAMETER["Standard_Parallel_2",47.33333333333334],PARAMETER["Latitude_Of_Origin",45.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2927]]</WKT><XOrigin>-117498300</XOrigin><YOrigin>-98850300</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>2927</WKID><LatestWKID>2927</LatestWKID></ProjectedCoordinateSystem>
Linear Unit: Foot_US (0.304801)
20250716
14411800
20250716
14411800
150000000
5000
1.0
FGDC
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 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.
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.
MTFCC
Census MTFCC Code
String
5
0
0
The Census MAF/TIGER feature class code
CARTID
CARTID
String
50
0
0
RoadPrefix
Road Directional
String
10
0
0
RoadName
Road Name
String
30
0
0
RoadSufix
Road Type
String
50
0
0
NameLabel
Road Label
String
125
0
0
ESNLEFT
ESN on Left
String
5
0
0
The ESN on left side of the road
Jurisdiction
Jurisdiction
String
50
0
0
ESNRIGHT
ESN on Right
String
5
0
0
The ESN on right side of the road
ManagedBy
ManagedBy
String
50
0
0
PavementType
PavementType
String
255
0
0
DatePaved
Date Paved
Date
8
0
0
DateStriped
DateStriped
Date
8
0
0
Oneway
One Way Indicator
String
10
0
0
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
YearInstalled
Year Installed
Date
8
0
0
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
MSAGLEFT
MSAG on Left
String
35
0
0
The MSAG community on left side of the road
ROADCLASS
Road Class
String
100
0
0
Functional classification of roads based on type of service
STATELEFT
State on Left
String
2
0
0
State abbreviation on left side of the road
STATERIGHT
State on Right
String
2
0
0
State abbreviation on right side of the road
ROADLEVEL
Road Level
String
15
0
0
A code that indicates whether the traveled roadway is above or below grade
TOLEFT
Left To Address
Integer
4
10
0
Highest address range on left side of the road
CountyRoute
County Route
String
10
0
0
StateRoute
State Route
String
10
0
0
StateRouteType
State Route Type
String
20
0
0
FederalRoute
Federal Route
String
10
0
0
FederalRouteType
Federal Route Type
String
20
0
0
MunLeft
Municipality on Left
String
100
0
0
MunRight
Municipality on Right
String
100
0
0
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
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
ZIPRright
Zip on Right
String
5
0
0
last_edited_date
last_edited_date
Date
8
0
0
MSAGRIight
MSAG on Right
String
35
0
0
SPEEDLIMIT
Speed Limit
SmallInteger
2
5
0
Lanes
Number of Lanes
Double
8
38
8
YEAR_MANAGED
Year Managed
SmallInteger
2
5
0
countyleft
County on Left
String
40
0
0
Lifecycle
Lifecycle
String
20
0
0
countyright
County on Right
String
40
0
0
GlobalID
GlobalID
GlobalID
38
0
0
rclnguid
NENA ID
String
255
0
0
parityleft
Parity Left
String
255
0
0
parityright
Parity Right
String
255
0
0
RoadCenterlines
Feature Class
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
Esri ArcGIS 13.3.2.52636
Road Centerlines
1
-88.247848
-88.076839
41.820990
41.658962
Road segments representing centerlines of all roadways. Typically, this information is compiled from orthoimagery or survey documentation.
<div style='text-align:Left;'><div><div><p><span>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.</span></p></div></div></div>
Road
Roads
Street
Streets
Centerlines
Road Centerlines
Street Centerlines
Road Classification
Street Classification
C&ED
Community and Economic Development
Planning
Building
PW
Public Works
Public Works Engineering
Engineering
Public Works Operations
Police
PPD
Fire
PFD
City of Pasco
WA
<div><div><p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><b>NOTICE: WARRANTY OF ACCURACY.</b></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>The
Information shown on the attached map was compiled for use by the City of Pasco, its employees and consultants. The City of Pasco does not warrant the accuracy of anything set forth on the map. Any person or entity requesting a copy should conduct an independent inquiry regarding
the Information shown on the map. Including but not limited to, the location of any sewer stub shown. Such sewer stubs may or may not exist and may or may not exist at the location shown. Neither the City of Pasco nor its employees or officers shall be liable for the Information given on this map nor for any oral representation provided based upon sold map.</p></div></div>
Enterprise Geodatabase Feature Class
dataset
EPSG
6.3(9.0.0)
Simple
FALSE
0
TRUE
FALSE
0
20250716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