20221228
10334800
20111229
13065800
FALSE
20221228
10333200
FeatureClassToFeatureClass G:\Administrative\zip_code\polygon "Database Connections\Orion.sde.GeoData.BaseVersion.sde\sde.GEODATA.Importer" zip_code # "ZIPCODE 'ZIPCODE' true true false 5 Long 0 5 ,First,#,G:\Administrative\zip_code\polygon,ZIPCODE,-1,-1;CITY 'CITY' true true false 25 Text 0 0 ,First,#,G:\Administrative\zip_code\polygon,CITY,-1,-1" # "Database Connections\Orion.sde.GeoData.BaseVersion.sde\sde.GEODATA.Importer\sde.GEODATA.zip_code"
CopyFeatures "Database Connections\orion.sde.echulbert.sde\sde.GEODATA.zip_code" "Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.importer\GISDL.GEODATA.zip_code" # 0 0 0
ChangePrivileges 'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_2000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_3000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_point';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_poly';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pt_interest';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_site';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.zip_code' echulbert GRANT GRANT
ChangePrivileges 'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_2000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.annotation_3000';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_line';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_point';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.park_feature_poly';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.pt_interest';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_site';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.tower_zone';'Database Connections\Orion2.GISDL.Geodata.sde\GISDL.GEODATA.zip_code' GIS_Viewer GRANT #
FeatureClassToFeatureClass H:\Addresser_DBs\StJohns\st_johns2\ZIP_Code.shp H:\Addresser_DBs\StJohns\St_Johns3\St_Johns.mdb Zip_Code # "ZIPCODE "ZIPCODE" true true false 10 Double 0 10 ,First,#,H:\Addresser_DBs\StJohns\st_johns2\ZIP_Code.shp,ZIPCODE,-1,-1;CITY "CITY" true true false 25 Text 0 0 ,First,#,H:\Addresser_DBs\StJohns\st_johns2\ZIP_Code.shp,CITY,-1,-1;ZIPCODE_TX "ZIPCODE_TX" true true false 10 Text 0 0 ,First,#,H:\Addresser_DBs\StJohns\st_johns2\ZIP_Code.shp,ZIPCODE_TX,-1,-1" #
CalculateField Zip_Code STATE "FL" VB #
FeatureClassToFeatureClass C:\Temp\St_Johns.mdb\Zip_Code "Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.MapSAG" Zip_Code # "STATE "STATE" true true false 2 Text 0 0 ,First,#,C:\Temp\St_Johns.mdb\Zip_Code,STATE,-1,-1;CITY "CITY" true true false 25 Text 0 0 ,First,#,C:\Temp\St_Johns.mdb\Zip_Code,CITY,-1,-1;ZIPCODE "ZIPCODE" true true false 4 Long 0 0 ,First,#,C:\Temp\St_Johns.mdb\Zip_Code,ZIPCODE,-1,-1;ZIPCODE_TXT "ZIPCODE_TXT" true true false 10 Text 0 0 ,First,#,C:\Temp\St_Johns.mdb\Zip_Code,ZIPCODE_TXT,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,C:\Temp\St_Johns.mdb\Zip_Code,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,C:\Temp\St_Johns.mdb\Zip_Code,Shape_Area,-1,-1" #
ChangePrivileges 'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.Address_Site';'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.Road';'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.RoadName';'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.TA_NEXT';'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.TA_USERS';'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.Zip_Code';'Database Connections\orion2.gisdl.GeoData.sde\GISDL.GEODATA.Community_Intrado' mapsag_editor GRANT GRANT
CalculateField GISDL.GEODATA.Zip_Code COUNTY "ST JOHNS" VB #
DeleteFeatures "Database Connections\ATHENA2.GISDL.GIS.sde\gisdl.GIS.Zip_Code"
Append 'Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code' "Database Connections\ATHENA2.GISDL.GIS.sde\gisdl.GIS.Zip_Code" NO_TEST "STATE "STATE" true true false 2 Text 0 0 ,First,#,Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,STATE,-1,-1;CITY "CITY" true true false 25 Text 0 0 ,First,#,Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,CITY,-1,-1;ZIPCODE "ZIPCODE" true true false 4 Long 0 10 ,First,#,Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE,-1,-1;ZIPCODE_TXT "ZIPCODE_TXT" true true false 10 Text 0 0 ,First,#,Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE_TXT,-1,-1;COUNTY "COUNTY" true true false 20 Text 0 0 ,First,#,Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,COUNTY,-1,-1;Shape.area "Shape.area" false false true 0 Double 0 0 ,First,#,Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,Shape.area,-1,-1;Shape.len "Shape.len" false false true 0 Double 0 0 ,First,#,Database Connections\ORION2.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,Shape.len,-1,-1" #
DeleteFeatures "Database Connections\ATHENA.GISDL.GIS.sde\gisdl.GIS.Zip_Code"
Append 'Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code' "Database Connections\ATHENA.GISDL.GIS.sde\gisdl.GIS.Zip_Code" NO_TEST "STATE "STATE" true true false 2 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,STATE,-1,-1;CITY "CITY" true true false 25 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,CITY,-1,-1;ZIPCODE "ZIPCODE" true true false 4 Long 0 10 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE,-1,-1;ZIPCODE_TXT "ZIPCODE_TXT" true true false 10 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE_TXT,-1,-1;COUNTY "COUNTY" true true false 20 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,COUNTY,-1,-1;Shape.area "Shape.area" false false true 0 Double 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,Shape.area,-1,-1;Shape.len "Shape.len" false false true 0 Double 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,Shape.len,-1,-1" #
DeleteFeatures "Database Connections\ATHENA.GISDL.GIS.sde\gisdl.GIS.Zip_Code_wmas"
Append 'Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code' "Database Connections\ATHENA.GISDL.GIS.sde\gisdl.GIS.Zip_Code_wmas" NO_TEST "STATE "STATE" true true false 2 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,STATE,-1,-1;CITY "CITY" true true false 25 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,CITY,-1,-1;ZIPCODE "ZIPCODE" true true false 4 Long 0 10 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE,-1,-1;ZIPCODE_TXT "ZIPCODE_TXT" true true false 10 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE_TXT,-1,-1;COUNTY "COUNTY" true true false 20 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,COUNTY,-1,-1;Shape.STArea() "Shape.STArea()" false false true 0 Double 0 0 ,First,#;Shape.STLength() "Shape.STLength()" false false true 0 Double 0 0 ,First,#" #
DeleteFeatures "Database Connections\ATHENA.GISDL.GIS.sde\gisdl.GIS.Zip_Code_wmas"
Append 'Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code' "Database Connections\ATHENA.GISDL.GIS.sde\gisdl.GIS.Zip_Code_wmas" NO_TEST "STATE "STATE" true true false 2 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,STATE,-1,-1;CITY "CITY" true true false 25 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,CITY,-1,-1;ZIPCODE "ZIPCODE" true true false 4 Long 0 10 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE,-1,-1;ZIPCODE_TXT "ZIPCODE_TXT" true true false 10 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,ZIPCODE_TXT,-1,-1;COUNTY "COUNTY" true true false 20 Text 0 0 ,First,#,Database Connections\ORION.GISDL.GEODATA.sde\GISDL.GEODATA.Zip_Code,COUNTY,-1,-1;Shape.STArea() "Shape.STArea()" false false true 0 Double 0 0 ,First,#;Shape.STLength() "Shape.STLength()" false false true 0 Double 0 0 ,First,#" #
gisdl.GIS.Zip_Code_wmas
Server=athena.intranet.co.st-johns.fl.us; Service=sde:sqlserver:athena.intranet.co.st-johns.fl.us; Database=gisdl; User=gis; Version=sde.DEFAULT
ArcSDE Connection
-9112023.873000
-9040216.089200
3440665.511500
3545171.206500
1
002
Projected
GCS_WGS_1984
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/10.6'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
Linear Unit: Meter (1.000000)
1.0
FGDC CSDGM Metadata
FGDC
500000
5000
St. Johns County GIS Division
904-209-0778
904-209-0779
500 San Sebastian Vw
St. Augustine
Florida
32084
gis@sjcfl.us
8:00 am To 5:00 pm M-F
20221228
ArcGIS Metadata
1.0
St. Johns County GIS Division
904-209-0778
904-209-0779
500 San Sebastian Vw
St. Augustine
Florida
32084
gis@sjcfl.us
8:00 am To 5:00 pm M-F
No fees
Data available for download.
Web Layer
ZIP Codes
vector digital data
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains polygons representing the USPS zip code boundaries for St. Johns County.</SPAN></P></DIV></DIV></DIV>
Used to show the boundary of zip codes for maps and online applications.
Data content is created and/or maintained by the St. Johns County GIS Division and the United States Postal Service.
St. Johns County, Florida, Southeast, United States, North America, St. Augustine
ISO 19115 Topic Category
Zipcode, Boundaries, USPS
Administrative
Zip Code
USPS
Boundaries
St. Johns County
Florida
Southeast
United States
North America
St. Augustine
The St. Johns County GIS Division provides this data "as is" and makes no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Information from the St. Johns County Geographic Information System is provided for general reference purposes only and is not to be construed as a survey or legal document. Errors from non-coincidence of features from different sources may be present. The St. Johns County Geographic Information System makes every reasonable effort to ensure that the information provided herein is current and accurate. However, St. Johns County provides no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.</SPAN></P></DIV></DIV></DIV>
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
-81.859841
-81.212712
29.509397
30.323829
1
-81.854703
-81.209643
30.323270
29.509581
23
gisdl.GIS.Zip_Code_wmas
Feature Class
23
ZIPCODE_TXT
ZIPCODE_TXT
String
10
0
0
CITY
United States Postal Service official name for the city.
CITY
String
25
0
0
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Shape
Geometry
4
0
0
STATE
United States Postal Service Official name for the state.
STATE
String
2
0
0
COUNTY
United States Postal Service Official name for the county.
COUNTY
String
20
0
0
ZIPCODE
United States Post Office 5 digit zip code designation.
ZIPCODE
Integer
4
10
0
OBJECTID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
10
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
dataset
EPSG
8.8(9.3.1.2)
Simple
FALSE
23
TRUE
FALSE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