20221006
10281800
1.0
FALSE
Mileposts_ft
002
Geographic
GCS_NAD_1983_2011
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_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",6318]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</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>104145</WKID><LatestWKID>6318</LatestWKID></GeographicCoordinateSystem>
20221006
10281900
20221006
10281900
Esri ArcGIS 13.0.0.36056
Mileposts_ft
This layer was originally created by DDTI and based on their road centerline file that they also created. Both were provided to our office where we then updated them to account for changes in the roads after the initial as-built data.
Monroe County
roads
markers
transportation
Mile Posts for County and State Roads in Monroe County
DDTI, Monroe County Map Department
The GIS data provided by Monroe County is a resource of general information. The information contained within is continually updated by the Monroe County GIS/Mapping staff. The data provided in these files are for reference purposes only and should NOT be considered as a legal document. The data provided by Monroe County is made available on the condition that the user willingly agrees to waive any and all claims that may be brought against Monroe County, The Monroe County Assessors Office, its contractors, and/or its employees. By purchasing, accessing and using this data you are releasing Monroe County, The Monroe County Assessors Office, its contractors, and its employees from all liability that may occur from any omissions, errors, or inaccuracies in the data.
Enterprise Geodatabase Feature Class
dataset
EPSG
8.2.2(10.2.1)
0
Simple
FALSE
0
TRUE
FALSE
Mileposts_ft
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FEATUREID
FEATUREID
Integer
4
10
0
RECORDTYPE
RECORDTYPE
Integer
4
10
0
SIGNTYPE
SIGNTYPE
SmallInteger
2
5
0
SIGNVAL
SIGNVAL
Double
8
38
8
NAMEID
NAMEID
Integer
4
10
0
ROUTEID
ROUTEID
Integer
4
10
0
ROADTYPE
ROADTYPE
String
4
0
0
ROADNUMBER
ROADNUMBER
String
20
0
0
ST_PREFIX
ST_PREFIX
String
4
0
0
ST_NAME
ST_NAME
String
75
0
0
ST_TYPE
ST_TYPE
String
16
0
0
ST_SUFFIX
ST_SUFFIX
String
4
0
0
ST_SUFFIX2
ST_SUFFIX2
String
10
0
0
MUNI
MUNI
String
50
0
0
ALTPREFIX
ALTPREFIX
String
10
0
0
ALTNAME
ALTNAME
String
75
0
0
ALTTYPE
ALTTYPE
String
20
0
0
ALTSUFFIX
ALTSUFFIX
String
10
0
0
ALTSUFFIX2
ALTSUFFIX2
String
10
0
0
SUBDIV
SUBDIV
String
50
0
0
VILLAGE
VILLAGE
String
50
0
0
COORDINATE
COORDINATE
Integer
4
10
0
DGPSX
DGPSX
Double
8
38
8
DGPSY
DGPSY
Double
8
38
8
DGPSZ
DGPSZ
Double
8
38
8
DGPSQUALIT
DGPSQUALIT
SmallInteger
2
5
0
DATE
DATE
String
24
0
0
GPSSECOND
GPSSECOND
Double
8
38
8
VAN
VAN
SmallInteger
2
5
0
SESSION
SESSION
SmallInteger
2
5
0
STATE
STATE
String
2
0
0
COUNTY
COUNTY
String
24
0
0
LSN
LSN
String
125
0
0
ALSN
ALSN
String
125
0
0
NLFIDNEW
NLFIDNEW
String
20
0
0
NLFIDOLD
NLFIDOLD
String
20
0
0
SEGID
SEGID
Double
8
38
8
TSSEGID
TSSEGID
Double
8
38
8
PT_LEN
PT_LEN
Double
8
38
8
MPVAL
MPVAL
Double
8
38
8
POINT_X
POINT_X
String
50
0
0
POINT_Y
POINT_Y
String
50
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
20221006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