20220803
13490400
1.0
FALSE
StudyArea_Parcels_Nov2016
002
17.960
942622.389000
1152561.910000
728658.881000
880891.907000
1
Projected
GCS_North_American_1983
NAD_1983_StatePlane_New_York_Central_FIPS_3102_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/3.0.0'><WKT>PROJCS["NAD_1983_StatePlane_New_York_Central_FIPS_3102_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",820208.3333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-76.58333333333333],PARAMETER["Scale_Factor",0.9999375],PARAMETER["Latitude_Of_Origin",40.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2261]],VERTCS["NAVD_1988",VDATUM["North_American_Vertical_Datum_1988"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0],AUTHORITY["EPSG",5703]]</WKT><XOrigin>-17627200</XOrigin><YOrigin>-47344700</YOrigin><XYScale>3048.0060960121918</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>102716</WKID><LatestWKID>2261</LatestWKID><VCSWKID>5703</VCSWKID><LatestVCSWKID>5703</LatestVCSWKID></ProjectedCoordinateSystem>
Linear Unit: Foot_US (0.304801)
20220802
09303700
20220802
09303700
Esri ArcGIS 13.0.0.36056
StudyArea_Parcels_Nov2016
002
1
-76.132961
-75.352612
42.416878
41.993504
File Geodatabase Feature Class
17.960
dataset
EPSG
5.3(9.0.0)
Simple
FALSE
0
TRUE
FALSE
0
StudyArea_Parcels_Nov2016
Feature Class
0
OBJECTID
OBJECTID
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.
SWISSCODE
SWISSCODE
String
6
0
0
EAST
EAST
String
7
0
0
NORTH
NORTH
String
7
0
0
PARCELLOCA
PARCELLOCA
String
25
0
0
LOCNUM
LOCNUM
String
10
0
0
SCHOOLDIST
SCHOOLDIST
String
6
0
0
FRONTFEET
FRONTFEET
Double
8
0
0
DEPTHFEET
DEPTHFEET
Double
8
0
0
ACRES
ACRES
String
7
0
0
PROPERTYCL
PROPERTYCL
String
3
0
0
OWNERNAME
OWNERNAME
String
25
0
0
OWNERNAME2
OWNERNAME2
String
25
0
0
STREET
STREET
String
25
0
0
CITY
CITY
String
25
0
0
STATE
STATE
String
25
0
0
ZIPCODE
ZIPCODE
String
9
0
0
LANDVALUE
LANDVALUE
Double
8
0
0
TOTALVALUE
TOTALVALUE
Double
8
0
0
EXP1
EXP1
String
5
0
0
EXP2
EXP2
String
5
0
0
EXP3
EXP3
String
5
0
0
EXP4
EXP4
String
5
0
0
EXP5
EXP5
String
5
0
0
EXP6
EXP6
String
5
0
0
EXP7
EXP7
String
5
0
0
EXP8
EXP8
String
5
0
0
NUMOFSTORI
NUMOFSTORI
Double
8
0
0
YEARBUILT
YEARBUILT
String
4
0
0
SQFTLIVING
SQFTLIVING
String
5
0
0
CODE
CODE
String
25
0
0
SITENUM
SITENUM
Double
8
0
0
DBOOK
DBOOK
String
10
0
0
DPAGE
DPAGE
String
10
0
0
SALEDATE
SALEDATE
String
10
0
0
SPDIST1
SPDIST1
String
5
0
0
SPDIST2
SPDIST2
String
5
0
0
SPDIST3
SPDIST3
String
5
0
0
SPDIST4
SPDIST4
String
5
0
0
SPDIST5
SPDIST5
String
5
0
0
SPDIST6
SPDIST6
String
5
0
0
SPDIST7
SPDIST7
String
5
0
0
SPDIST8
SPDIST8
String
5
0
0
SPDIST9
SPDIST9
String
5
0
0
SPDIST10
SPDIST10
String
5
0
0
SPDIST11
SPDIST11
String
5
0
0
SPDIST12
SPDIST12
String
5
0
0
SPDIST13
SPDIST13
String
5
0
0
ACTIVE
ACTIVE
String
1
0
0
OWNER_FIRS
OWNER_FIRS
String
30
0
0
OWNER_INIT
OWNER_INIT
String
1
0
0
OWNER_LAST
OWNER_LAST
String
30
0
0
NBHD_CODE
NBHD_CODE
Double
8
0
0
ROLL_SECTI
ROLL_SECTI
String
50
0
0
BUILDING_N
BUILDING_N
Double
8
0
0
LOCNUM1
LOCNUM1
String
10
0
0
SEWER
SEWER
String
20
0
0
WATER
WATER
String
20
0
0
UTILITY
UTILITY
String
20
0
0
SITEDESIRE
SITEDESIRE
String
20
0
0
P_COND
P_COND
String
20
0
0
P_GRADE
P_GRADE
String
20
0
0
SALEDOLLAR
SALEDOLLAR
Double
8
0
0
FEMA
FEMA
String
10
0
0
FZONE
FZONE
String
10
0
0
FPANEL
FPANEL
String
20
0
0
FDATE
FDATE
String
15
0
0
WETLANDS
WETLANDS
String
10
0
0
DEC_WET
DEC_WET
String
10
0
0
STEEPSLOPE
STEEPSLOPE
String
12
0
0
L_USE
L_USE
String
20
0
0
SCHOOLNAME
SCHOOLNAME
String
25
0
0
AGDIST
AGDIST
String
10
0
0
TRACT
TRACT
String
10
0
0
FIRECOV
FIRECOV
String
35
0
0
ED
ED
String
5
0
0
PARCELZIP
PARCELZIP
String
10
0
0
ZONING
ZONING
String
50
0
0
MOREZONE
MOREZONE
String
5
0
0
EZ
EZ
String
5
0
0
CALCACRE
CALCACRE
Double
8
0
0
WATERSHED
WATERSHED
String
50
0
0
NUMSITES
NUMSITES
Integer
4
0
0
HWYDIST
HWYDIST
String
7
0
0
RAIL
RAIL
String
5
0
0
SOILNAME
SOILNAME
String
50
0
0
HISTORIC
HISTORIC
String
15
0
0
REVIEW
REVIEW
String
10
0
0
SWISSID
SWISSID
String
40
0
0
LATDD
LATDD
Double
8
0
0
LONGDD
LONGDD
Double
8
0
0
SBL
SBL
String
25
0
0
AQUIFER
AQUIFER
String
10
0
0
Ownership_2016
Ownership_2016
String
255
0
0
Owner_Occ16
Owner_Occ16
SmallInteger
2
0
0
Parce_Local
Parce_Local
String
255
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20220802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