20250306
13441600
1.0
FALSE
ManateeRoads
002
415311.390838
638516.673101
1044757.318990
1209284.484029
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Florida_West_FIPS_0902_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/10.7'><WKT>PROJCS["NAD_1983_StatePlane_Florida_West_FIPS_0902_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",656166.6666666665],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-82.0],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",24.33333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2237]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</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>102659</WKID><LatestWKID>2237</LatestWKID></ProjectedCoordinateSystem>
20250514
14075700
20250611
12383500
500000
5000
ISO19115_3
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
ManateeRoads
2025-05-14T00:00:00
1
-82.744054
-82.054305
27.660505
27.205973
This dataset represents the road network within Manatee County for cartographic and informational purposes only.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains line features representing road centerlines in Manatee County.</SPAN></P><P><SPAN>https://www.mymanatee.org/gisits/rest/services/opendata/Transportation/FeatureServer</SPAN></P></DIV></DIV></DIV>
Manatee County, FL
INFRASTURCTURE
PLANNING
LOCATION
REFERENCE
MANATEE
COUNTY
ROADS
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Hillsborough County makes no warranty, representation or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the information provided herein. The reader should not rely on the data provided herein for any reason. Hillsborough County explicitly disclaims any representations and warranties, including, without limitation, the implied warranties of merchantability and fitness for a particular purpose. Hillsborough County shall assume no liability for: 1. Any errors, omissions, or inaccuracies in the information provided regardless of how caused; or 2. Any decision made or action taken or not taken by any person in reliance upon any information or data furnished hereunder. This dataset is provided by Hillsborough County for informational purposes and Hillsborough County does not guarantee the accuracy or content of the data. Hillsborough County is not liable for any deficiencies in the dataset or analyses/applications using the dataset. This data should not be construed as legal advice or legal opinion on any specific facts or circumstances. The contents are intended for general information purposes only, and you are urged to consult your own lawyer concerning your own situation and any specific questions you may have. Infrastructure records, drawings, and other documents have been gathered over many decades, using differing standards for quality control, documentation and verification. All of the data provided represents current information in a readily available format. While the data is generally believed to be accurate, occasionally it proves to be incorrect; thus its accuracy is not warranted. Prior to making any property purchases or investments, or taking any other action based in full or in part upon the material provided, it is specifically advised that you independently field verify the information contained in county records.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Feature Class
dataset
EPSG
5.3(9.0.0)
37499
Simple
FALSE
37499
TRUE
FALSE
ManateeRoads
Feature Class
37499
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SEGID
SEGID
Integer
4
10
0
STATUS
STATUS
Integer
4
10
0
CLASS2
CLASS2
String
25
0
0
STREET_NAME
STREET_NAME
String
34
0
0
SDIRPRE
SDIRPRE
String
2
0
0
SFEANME
SFEANME
String
30
0
0
SFEATYP
SFEATYP
String
4
0
0
SDIRSUF
SDIRSUF
String
2
0
0
ALIAS1_PREFIX
ALIAS1_PREFIX
String
2
0
0
ALIAS1_NAME
ALIAS1_NAME
String
30
0
0
ALIAS1_TYPE
ALIAS1_TYPE
String
4
0
0
ALIAS1_SUFFIX
ALIAS1_SUFFIX
String
2
0
0
ALIAS2_PREFIX
ALIAS2_PREFIX
String
2
0
0
ALIAS2_NAME
ALIAS2_NAME
String
30
0
0
ALIAS2_TYPE
ALIAS2_TYPE
String
4
0
0
ALIAS2_SUFFIX
ALIAS2_SUFFIX
String
2
0
0
ALIAS3_PREFIX
ALIAS3_PREFIX
String
2
0
0
ALIAS3_NAME
ALIAS3_NAME
String
30
0
0
ALIAS3_TYPE
ALIAS3_TYPE
String
4
0
0
ALIAS3_SUFFIX
ALIAS3_SUFFIX
String
2
0
0
FRADDL
FRADDL
String
11
0
0
TOADDL
TOADDL
String
11
0
0
FRADDR
FRADDR
String
11
0
0
TOADDR
TOADDR
String
11
0
0
NOTES
NOTES
String
255
0
0
CLASS
CLASS
String
12
0
0
ADDTYP
ADDTYP
Integer
4
10
0
ZIPL
ZIPL
String
10
0
0
ZIPR
ZIPR
String
10
0
0
PREV_SEGID
PREV_SEGID
Double
8
38
8
CREATION_DATE
CREATION_DATE
Double
8
38
8
CREATION_USER
CREATION_USER
String
50
0
0
MODIFY_DATE
MODIFY_DATE
Double
8
38
8
MODIFY_USER
MODIFY_USER
String
50
0
0
C1_EXCEPTION
C1_EXCEPTION
Double
8
38
8
NO_MSAG
NO_MSAG
Double
8
38
8
L_ESN
L_ESN
String
50
0
0
R_ESN
R_ESN
String
50
0
0
FCODE
FCODE
String
24
0
0
WIDTH
WIDTH
Double
8
38
8
MTFCC
MTFCC
String
10
0
0
EVAC_ROUTE
EVAC_ROUTE
String
6
0
0
IPSCLASS
IPSCLASS
String
11
0
0
FIRST_IN_ROUTE
FIRST_IN_ROUTE
String
6
0
0
FIPS
FIPS
String
20
0
0
ROADCLASS
ROADCLASS
String
15
0
0
HWY
HWY
String
100
0
0
HIGHWAYTYPE
HIGHWAYTYPE
SmallInteger
2
5
0
RLEVEL
RLEVEL
SmallInteger
2
5
0
CREATION_DATE1
CREATION_DATE1
Date
8
0
0
MODIFY_DATE1
MODIFY_DATE1
Date
8
0
0
BLOCKAGE_MASK
BLOCKAGE_MASK
Integer
4
10
0
COUNTY_L
COUNTY_L
String
40
0
0
COUNTY_R
COUNTY_R
String
40
0
0
DATA_SOURCE
DATA_SOURCE
String
75
0
0
EFFECT_DATE
EFFECT_DATE
Date
8
0
0
FRADDL_ACTUAL
FRADDL_ACTUAL
String
11
0
0
FRADDR_ACTUAL
FRADDR_ACTUAL
String
11
0
0
HEIGHT
HEIGHT
Double
8
38
8
OBSTACLE_MASK
OBSTACLE_MASK
Integer
4
10
0
POSTAL_COMM_L
POSTAL_COMM_L
String
40
0
0
POSTAL_COMM_R
POSTAL_COMM_R
String
40
0
0
TOADDL_ACTUAL
TOADDL_ACTUAL
String
11
0
0
TOADDR_ACTUAL
TOADDR_ACTUAL
String
11
0
0
TURN_MASK
TURN_MASK
Integer
4
10
0
WEIGHT
WEIGHT
Double
8
38
8
MSAGCOMM_L
MSAGCOMM_L
String
30
0
0
MSAGCOMM_R
MSAGCOMM_R
String
30
0
0
PARITYLEFT
PARITYLEFT
String
1
0
0
PARITYRIGHT
PARITYRIGHT
String
1
0
0
ROADCLASS911
ROADCLASS911
String
30
0
0
MUNL
MUNL
String
40
0
0
MUNR
MUNR
String
40
0
0
ONEWAY
ONEWAY
String
2
0
0
SPEEDLIMIT911
SPEEDLIMIT911
Integer
4
10
0
MBI_EX
MBI_EX
String
8
0
0
MBI_NOTES
MBI_NOTES
String
510
0
0
ZLEVEL_FROM
ZLEVEL_FROM
Integer
4
10
0
ZLEVEL_TO
ZLEVEL_TO
Integer
4
10
0
PSAP_IDLEFT
PSAP_IDLEFT
String
100
0
0
PSAP_IDRIGHT
PSAP_IDRIGHT
String
100
0
0
EXTERNAL_NGUID
EXTERNAL_NGUID
Integer
4
10
0
CBMCLASS
CBMCLASS
SmallInteger
2
5
0
LASTUPDATE
LASTUPDATE
Date
8
0
0
SHAPE
SHAPE
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
SHAPE.STLength()
SHAPE.STLength()
Double
0
0
0
20250611
12C25577-B77E-48AE-B720-08A42071B720
external
6024ebf0cf071db5e21bfbd536ee577a
Hillsborough County
Performance, Data, & Analytics Department
Information & Innovation Office
601 E. Kennedy Blvd.
Tampa
FL
33602
GIS-Support@hillsboroughcounty.org
True
Hillsborough County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