20200923
11555600
1.0
FALSE
CTPARCEL_NORTHHAVEN
956629.830547
981498.061651
682057.821231
719032.293870
1
002
0.000
Projected
GCS_NAD_1983_2011
Linear Unit: Foot_US (0.304801)
NAD_1983_2011_StatePlane_Connecticut_FIPS_0600_Ft_US
<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_2011_StatePlane_Connecticut_FIPS_0600_Ft_US",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]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",999999.999996],PARAMETER["False_Northing",499999.999998],PARAMETER["Central_Meridian",-72.75],PARAMETER["Standard_Parallel_1",41.2],PARAMETER["Standard_Parallel_2",41.86666666666667],PARAMETER["Latitude_Of_Origin",40.83333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6434]]</WKT><XOrigin>-119756300</XOrigin><YOrigin>-96342500</YOrigin><XYScale>37294945.500735737</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103016</WKID><LatestWKID>6434</LatestWKID></ProjectedCoordinateSystem>
20220201
11020300
20220201
11020300
ItemDescription
150000000
5000
CTPARCEL_NORTHHAVEN
Feature Class
0
FID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Shape
Geometry
0
0
0
Feature geometry.
ESRI
Coordinates defining the features.
UNIQUE_ID
UNIQUE_ID
String
30
0
0
MBL
MBL
String
30
0
0
EDITOR
EDITOR
String
10
0
0
ctecogis_C
ctecogis_C
String
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0
0
COMMENT
COMMENT
String
75
0
0
EDIT_TYPE
EDIT_TYPE
String
30
0
0
METHOD
METHOD
String
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0
0
SOURCE_TYP
SOURCE_TYP
String
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0
0
SOURCE_ID
SOURCE_ID
String
25
0
0
ACCOUNT_TY
ACCOUNT_TY
String
25
0
0
RECORD_COU
RECORD_COU
String
30
0
0
ACTION_
ACTION_
String
30
0
0
ACCOUNT
ACCOUNT
String
20
0
0
GIS_LINK
GIS_LINK
String
30
0
0
MBL2
MBL2
String
30
0
0
MAP
MAP
String
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0
0
BLOCK
BLOCK
String
10
0
0
LOT
LOT
String
10
0
0
UNIT
UNIT
String
10
0
0
OWNER_NAME
OWNER_NAME
String
75
0
0
LOCATION
LOCATION
String
50
0
0
STREET
STREET
String
40
0
0
HOUSE_NO
HOUSE_NO
String
10
0
0
HOUSE_NUM
HOUSE_NUM
Integer
10
10
0
MUNI
MUNI
String
50
0
0
ACRES
ACRES
Double
19
18
8
ZONING
ZONING
String
20
0
0
LAND_USE
LAND_USE
String
40
0
0
IMAGE_LINK
IMAGE_LINK
String
50
0
0
SALE_DATE
SALE_DATE
Date
8
0
0
TTL_TAX
TTL_TAX
Integer
10
10
0
TTL_APR
TTL_APR
Integer
10
10
0
YR_BLT
YR_BLT
String
10
0
0
YR_IMP
YR_IMP
String
10
0
0
BLDG_STYLE
BLDG_STYLE
String
50
0
0
GIS_ACRES
GIS_ACRES
Double
19
18
8
X
X
Double
19
18
8
Y
Y
Double
19
18
8
LAT
LAT
Double
19
18
8
LON
LON
Double
19
18
8
COMPLEX_NA
COMPLEX_NA
String
50
0
0
ORIG_FID
ORIG_FID
Integer
10
10
0
SCRCOG_LU
SCRCOG_LU
String
50
0
0
SCRCOG_COM
SCRCOG_COM
String
254
0
0
Shape_STAr
Shape_STAr
Double
19
0
0
Shape_STLe
Shape_STLe
Double
19
0
0
ArcGIS Metadata
1.0
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450
CTPARCEL_NORTHHAVEN
1
-72.908165
-72.817369
41.434452
41.332888
This feature Class contains a digital record of the cadastral information for the City of New Haven for use by the town employees and public to answer questions regarding property issues. Furthermore, it can be used as a base for further GIS development, such as utility and emergency management layers.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This Feature Class was created in 2014 as a part of the </SPAN><SPAN>State of Connecticut Regional Performance Incentive Program Grant to the South Central Regional Council of Governments for the Regional Web-Based GIS program. </SPAN></P><P><SPAN><SPAN>The development of the parcel layer was started in 2005. The Town of North Haven created CAD files by use of orthophotos generated from SBC’s (AT&T) 2005 fly-over as a base. In February of 2013, the CAD files were given to Applied Geographic’s of Massachusetts where the data was converted into GIS format. Updates were done by use of the Town of North Haven’s Survey and Tax maps. Updates are done on a yearly basis. </SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Applied Geographic’s, Town of North Haven Assessors Office, SBC inc (AT&T), New England Geosystems, CT Office of Policy and Management, South Central Regional Council of Governments
North HavenCTGISCT parcelsCadastral
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Map data is for graphical purposes only. It does not represent a legal survey. While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, New England GeoSystems cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. New England GeoSystems makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. IT IS NOT TO BE USED FOR THE TRANSFER OF PROPERTY. IT IS NOT TO BE CONSTRUED OR USED AS A LEGAL DESCRIPTION. New England GeoSystems assume no liability for any damages, including loss of data, lost profits, business interruption, loss of business information or other pecuniary loss that might arise from the use of this map data or the information it contains.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Shapefile
0.000
dataset
EPSG
8.2.10(10.3.1)
0
Simple
FALSE
0
FALSE
FALSE
20220201
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