20250520
17443700
1.0
FALSE
StreetLights
002
447000.000033
629939.999966
1217899.999935
1396059.999913
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>
20250523
12533500
20250523
12592000
150000000
5000
NAP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Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
StreetLights
2025-05-23T00:00:00
1
-82.649228
-82.081040
28.174240
27.682707
INFRASTURCTURE
LOCATION
PLANNING
TRANSPORTATION
ASSET
PUBLIC WORKS
LIGHT
Hillsborough County, FL
This dataset tracks roadway lighting assets within Hillsborough County for transportation asset inventory purposes.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This point dataset represents the geographic locations of street lights for enhanced roadway illumination and nighttime safety.</SPAN></P></DIV></DIV></DIV>
<DIV STYLE="text-align:Left;"><DIV><P><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></P></DIV></DIV>
Feature Class
dataset
EPSG
5.3(9.0.0)
30832
Simple
FALSE
30832
TRUE
FALSE
StreetLights
Feature Class
30832
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
CUST_ID
CUST_ID
Double
8
38
8
LIGHT_DIST
LIGHT_DIST
Double
8
38
8
LOCATION
LOCATION
String
28
0
0
TYPE
TYPE
Double
8
38
8
L_RATE
L_RATE
Double
8
38
8
NAD83_X
NAD83_X
Double
8
38
8
NAD83_Y
NAD83_Y
Double
8
38
8
GRID_X
GRID_X
Double
8
38
8
GRID_Y
GRID_Y
Double
8
38
8
TECO_GRID
TECO_GRID
String
12
0
0
INST_DATE
INST_DATE
String
10
0
0
GlobalID
GlobalID
GlobalID
38
0
0
SHAPE
SHAPE
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
20250523
4B18FF5F-2AD0-4E02-85A8-C3483E45355F
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