20180925
14214300
1.0
FALSE
Frederick_ParcelPoints
002
341792.700000
390756.100000
172876.400000
228032.300000
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_StatePlane_Maryland_FIPS_1900
<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/10.3'><WKT>PROJCS["NAD_1983_StatePlane_Maryland_FIPS_1900",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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Meter",1.0],AUTHORITY["EPSG",26985]]</WKT><XOrigin>-36747100</XOrigin><YOrigin>-29091500</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26985</WKID><LatestWKID>26985</LatestWKID></ProjectedCoordinateSystem>
20160405
14344400
20160405
14344400
20000000
5000
ItemDescription
Esri ArcGIS 10.3.1.4959
Frederick_ParcelPoints
This dataset was created to allow all users access to the point files of parcel property.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Parcel Points Dataset showing the ownership of nearly all parcels in the state. Data is available as complete state or subdivided into county segments</SPAN></P></DIV></DIV></DIV>
MDP Derived 12/2014 Parcel Points Downloaded From:
Modified and Distributed by Brad Davis bdavis13@mta.maryland.gov
no
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Planning Level Only, New Versions to be posted at regular intervals as MDP produces them (usually annually)</SPAN></P></DIV></DIV></DIV>
1
-77.678824
-77.107052
39.720767
39.222094
File Geodatabase Feature Class
dataset
EPSG
8.6.2
92881
Simple
FALSE
92881
TRUE
FALSE
Frederick_ParcelPoints
Feature Class
92881
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
JURSCODE
JURSCODE
String
4
0
0
ACCTID
ACCTID
String
16
0
0
DIGXCORD
DIGXCORD
Double
8
0
0
DIGYCORD
DIGYCORD
Double
8
0
0
CT2010
CT2010
String
12
0
0
BG2010
BG2010
String
13
0
0
GEOGCODE
GEOGCODE
String
2
0
0
OOI
OOI
String
1
0
0
RESITYP
RESITYP
String
3
0
0
ADDRESS
ADDRESS
String
60
0
0
STRTNUM
STRTNUM
String
5
0
0
STRTDIR
STRTDIR
String
2
0
0
STRTNAM
STRTNAM
String
40
0
0
STRTTYP
STRTTYP
String
5
0
0
STRTSFX
STRTSFX
String
2
0
0
STRTUNT
STRTUNT
String
30
0
0
ADDRTYP
ADDRTYP
String
1
0
0
CITY
CITY
String
30
0
0
ZIPCODE
ZIPCODE
String
5
0
0
OWNNAME1
OWNNAME1
String
34
0
0
OWNNAME2
OWNNAME2
String
34
0
0
NAMEKEY
NAMEKEY
String
25
0
0
OWNADD1
OWNADD1
String
30
0
0
OWNADD2
OWNADD2
String
30
0
0
OWNCITY
OWNCITY
String
22
0
0
OWNSTATE
OWNSTATE
String
2
0
0
OWNERZIP
OWNERZIP
String
5
0
0
OWNZIP2
OWNZIP2
String
4
0
0
PREMSNUM
PREMSNUM
String
5
0
0
PREMSDIR
PREMSDIR
String
2
0
0
PREMSNAM
PREMSNAM
String
22
0
0
PREMSTYP
PREMSTYP
String
5
0
0
PREMCITY
PREMCITY
String
22
0
0
PREMZIP
PREMZIP
String
5
0
0
PREMZIP2
PREMZIP2
String
4
0
0
LEGAL1
LEGAL1
String
24
0
0
LEGAL2
LEGAL2
String
24
0
0
LEGAL3
LEGAL3
String
24
0
0
DR1CLERK
DR1CLERK
String
3
0
0
DR1LIBER
DR1LIBER
String
5
0
0
DR1FOLIO
DR1FOLIO
String
4
0
0
TOWNCODE
TOWNCODE
String
3
0
0
DESCTOWN
DESCTOWN
String
25
0
0
SUBDIVSN
SUBDIVSN
String
4
0
0
DSUBCODE
DSUBCODE
String
6
0
0
DESCSUBD
DESCSUBD
String
75
0
0
PLAT
PLAT
String
6
0
0
PLTLIBER
PLTLIBER
String
7
0
0
PLTFOLIO
PLTFOLIO
String
4
0
0
SECTION
SECTION
String
3
0
0
BLOCK
BLOCK
String
5
0
0
LOT
LOT
String
5
0
0
MAP
MAP
String
5
0
0
GRID
GRID
String
5
0
0
PARCEL
PARCEL
String
5
0
0
ZONING
ZONING
String
5
0
0
ZNCHGDAT
ZNCHGDAT
String
8
0
0
RZREALDAT
RZREALDAT
String
8
0
0
CIUSE
CIUSE
String
5
0
0
DESCCIUSE
DESCCIUSE
String
50
0
0
EXCLASS
EXCLASS
String
3
0
0
DESCEXCL
DESCEXCL
String
60
0
0
LU
LU
String
2
0
0
DESCLU
DESCLU
String
23
0
0
ACRES
ACRES
Double
8
0
0
LANDAREA
LANDAREA
Double
8
0
0
LUOM
LUOM
String
1
0
0
WIDTH
WIDTH
Single
4
0
0
DEPTH
DEPTH
Single
4
0
0
PFUW
PFUW
String
1
0
0
PFUS
PFUS
String
1
0
0
PFLW
PFLW
String
1
0
0
PFSP
PFSP
String
1
0
0
PFSU
PFSU
String
1
0
0
PFIC
PFIC
String
1
0
0
PFIH
PFIH
String
1
0
0
RECIND
RECIND
String
1
0
0
PERMITTYP
PERMITTYP
String
3
0
0
YEARBLT
YEARBLT
String
4
0
0
SQFTSTRC
SQFTSTRC
Integer
4
0
0
STRUGRAD
STRUGRAD
String
1
0
0
DESCGRAD
DESCGRAD
String
20
0
0
STRUCNST
STRUCNST
String
4
0
0
DESCCNST
DESCCNST
String
25
0
0
STRUSTYL
STRUSTYL
String
4
0
0
DESCSTYL
DESCSTYL
String
45
0
0
STRUBLDG
STRUBLDG
String
4
0
0
DESCBLDG
DESCBLDG
String
45
0
0
LASTINSP
LASTINSP
String
6
0
0
LASTASSD
LASTASSD
String
6
0
0
ASSESSOR
ASSESSOR
String
4
0
0
TRANSNO1
TRANSNO1
String
6
0
0
GRNTNAM1
GRNTNAM1
String
34
0
0
GR1CLRK1
GR1CLRK1
String
3
0
0
GR1LIBR1
GR1LIBR1
String
5
0
0
GR1FOLO1
GR1FOLO1
String
4
0
0
CONVEY1
CONVEY1
String
1
0
0
TRADATE
TRADATE
String
8
0
0
CONSIDR1
CONSIDR1
Integer
4
0
0
MORTGAG1
MORTGAG1
Integer
4
0
0
NFMLNDVL
NFMLNDVL
Integer
4
0
0
NFMIMPVL
NFMIMPVL
Integer
4
0
0
NFMTTLVL
NFMTTLVL
Double
8
0
0
CRTARCOD
CRTARCOD
String
2
0
0
FCMACODE
FCMACODE
String
1
0
0
AGFNDAREA
AGFNDAREA
Single
4
0
0
AGFNDLUOM
AGFNDLUOM
String
1
0
0
ENTZNDAT
ENTZNDAT
String
8
0
0
ENTZNASSM
ENTZNASSM
Integer
4
0
0
PLNDEVDAT
PLNDEVDAT
String
8
0
0
NPRCTSTDAT
NPRCTSTDAT
String
8
0
0
NPRCAREA
NPRCAREA
Single
4
0
0
NPRCLUOM
NPRCLUOM
String
1
0
0
HOMQLCOD
HOMQLCOD
String
1
0
0
HOMQLDAT
HOMQLDAT
String
8
0
0
BLDG_TOTAL
BLDG_TOTAL
Double
8
0
0
BLDG_STORY
BLDG_STORY
String
10
0
0
BLDG_UNITS
BLDG_UNITS
Double
8
0
0
BLDG_ROOMS
BLDG_ROOMS
Double
8
0
0
YRBLT_CAMA
YRBLT_CAMA
String
4
0
0
RESIDENT
RESIDENT
SmallInteger
2
0
0
RESI2010
RESI2010
SmallInteger
2
0
0
RESI2000
RESI2000
SmallInteger
2
0
0
RESI1990
RESI1990
SmallInteger
2
0
0
RESIUTHS
RESIUTHS
SmallInteger
2
0
0
APRTMENT
APRTMENT
SmallInteger
2
0
0
TRAILER
TRAILER
SmallInteger
2
0
0
SPECIAL
SPECIAL
SmallInteger
2
0
0
OTHER
OTHER
SmallInteger
2
0
0
PTYPE
PTYPE
SmallInteger
2
0
0
SDATWEBADR
SDATWEBADR
String
125
0
0
SEQNUMB
SEQNUMB
Integer
4
0
0
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
X
X-Coordinate
Double
8
0
0
Y
Y-Coordinate
Double
8
0
0
Unmap
Not Spatially Located
String
50
0
0
LUCODE__
LU Code
Integer
4
0
0
RuleID
RuleID
Integer
4
0
0
Override
Override
Blob
0
0
0
20160405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