<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<SyncDate>20221005</SyncDate>
<SyncTime>16221800</SyncTime>
<ModDate>20221005</ModDate>
<ModTime>16232400</ModTime>
<CreaDate>20100125</CreaDate>
<CreaTime>09093800</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">AppropriationsPLY</itemName>
<nativeExtBox>
<westBL Sync="TRUE">395387.604004</westBL>
<eastBL Sync="TRUE">402395.200004</eastBL>
<southBL Sync="TRUE">132611.263008</southBL>
<northBL Sync="TRUE">136915.380008</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Maryland_FIPS_1900</projcsn>
<peXml Sync="TRUE">&lt;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'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Maryland_FIPS_1900&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,400000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-77.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.3],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,39.45],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,37.66666666666666],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26985]]&lt;/WKT&gt;&lt;XOrigin&gt;-36747099.999995701&lt;/XOrigin&gt;&lt;YOrigin&gt;-29091499.9999924&lt;/YOrigin&gt;&lt;XYScale&gt;1000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.002&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;2&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;26985&lt;/WKID&gt;&lt;LatestWKID&gt;26985&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<PublishStatus>Published</PublishStatus>
<MetaID>{C7210DFB-20AC-44AF-BB0E-B0DC5894BC6D}</MetaID>
<ArcGISProfile>FGDC</ArcGISProfile>
<ArcGISFormat>1.0</ArcGISFormat>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<editorSource>external</editorSource>
<editorDigest>3cf56e1fc8cc8205cbc5981374be7a2dd7af6e10</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<displayName>GIS Data Coordinator</displayName>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20221005</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<dataIdInfo>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;U.S Appropriations are lands set aside at the time of the original founding and platting of the city for use by the U.S. Federal Government. The White House, for instance, Treasury Building, Ellipse and LaFayette Park all sit on Appropriation No. 1. D.C General Hospital is on Appropriation No.13 (with the consent of the Federal Government). Appropriations are often confused with U.S Reservations but the two terms are not interchangeable. There are 17 U.S Appropriations in Washington, D.C., all of which are located within the limits of the Original City and, by definition; there can never be any more.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Department of Buildings</idCredit>
<idStatus>
<ProgCd value="007"/>
</idStatus>
<resMaint>
<maintFreq>
<MaintFreqCd value="003"/>
</maintFreq>
</resMaint>
<searchKeys>
<keyword>DC</keyword>
<keyword>District of Columbia</keyword>
<keyword>Land</keyword>
<keyword>Lot</keyword>
<keyword>planning cadastre</keyword>
<keyword>Property</keyword>
<keyword>Square</keyword>
<keyword>vpmdata</keyword>
<keyword>Washington DC</keyword>
<keyword>DOB</keyword>
<keyword>appropriations</keyword>
</searchKeys>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<suppInfo>The Vector Property data was developed with the oversight of the Office of the Chief Technology Officer (OCTO) - DC GIS, Department of Buildings (DOB) - Office of the Surveyor (OS), and Office of Tax and Revenue (OTR) - Real Property Tax Administration (RPTA). This effort was undertaken with 2 primary goals: - Support and improve the daily business processes of the two DC agencies that originate and manage land record in the District of Columbia. - Provide important GIS base layers which will be used extensively by many DC government agencies and private companies. Below are the responsibilities which DC agencies have provided throughout the Vector Property data creation and maintenance application lifecycle. Office of the Surveyor- subject matter expertise, provides access and understanding of source documents, extensive resource support, and assists with Vector Property GDB and Maintenance requirements. RPTA- subject matter expertise, provides access and understanding of source documents, extensive resource and IT support, and assists with Vector Property GDB and Maintenance requirements. OCTO- Assists with Geodatabase and Maintenance requirements, QC and Program Management staffing. Vector Property database and Citrix Support. Project oversight. Air Rights (AirRightsLotsPT, AirRightsLotsLN, AirRightsLotsPLY) - Air right lots are established by RPTA to reflect a party’s right to construct an improvement above an existing area of land that is not owned by the constructor. They are a type of development right in real estate referring to the empty space about a property. These tax lot numbers start at 7000. There are approximately 704 air rights lots. Air rights are taxed in DC.
Condo Approval Lots - Condo lots are individual lots for each condominium. The lot numbers normally range from 2000-6999. These condo lots are not geographically defined other than being within a air rights, record, tax or a combination of lots that has one or more condo buildings within it. A condo regime number is assigned to each residential Condo application or Article of Confederation regardless of how many buildings there are at any one site. The Regime number starts with a 1, 2, or 3 depending upon where the condo is located and where they fall in the tri-annual assessment process of RPTA. All numbers after the first are consecutive. RPTA maintains the master list of Regime numbers for residential properties. Commercial condos are not associated with a Regime number and in order to properly track all condos, a unique Regime number was created. RPTA then establishes individual accounts for each condominium unit and assigns a condo lot number to that account. RPTA maintains the master list of Regime numbers and their relationship to approved condos. There are roughly 66571 condo lots and there associations are as follows: 49486 condos were approved for record lots, 16867 were approved for tax lots, 2817 were approved for air rights lots, and 2600 were approved for both air rights and tax lots. The CondoPly layer was created to assist users in visualizing the relationship between ground surface lots (Record Lots), overlay lots (Air Rights &amp; Tax Lots), and the associated Condos. When Condos are approved for ground lots, those lots remain in the production (active) layer and attributes updated to reflect the new condos. When Condos are approved for overlay lots, those lots are killed (dead lots) and archived to their respective history layer. Condo dwellings can also be queried city-wide via the individual VPM layers (active Record lots, dead Air Rights &amp; Tax lots) where the value in the “UNDERLIES_CONDO” field is equal to 1.
Parcel Lots (ParcelsLotsPT, ParcelsLotsLN, ParcelsLotsPLY) - There is still land within the District of Columbia that has never been subdivided into either Record or Tax Lots through the two offices that manage land records (OS &amp; RPTA), this land is referred to as Parcels, expressed as fractions (Ex Parcel 117/36). In this example, the number “36” would be the 36th out conveyance from original Parcel 117. The tracking of parcels was started in 1905 when, by Act of Congress, all the District’s unsubdivided properties which were mostly rural farms at the time were given parcel numbers. Their boundaries were also depicted (in many cases approximated), in large books in DOB's Office of the Surveyor. Until the late 1960s, building permits were routinely issued by the city for new construction on Parcels, but today all Parcels, like Tax Lots, must be converted into subdivision Lots of Record before permits will be issued for exterior work. Parcels are only found in the old “County of Washington,” north of Florida Ave and east of the Anacostia River. There are no Parcels found within the original city limits or Georgetown. Parcels are not in Squares. There are examples where parcel land may be physically located in the middle of a city Square, but Parcels are not considered part of a Square until they are duly subdivided by the D.C. Surveyor’s Office.
Record Lots - Record lots are defined by the Department of Buildings (DOB) – Office of the Surveyor (OS) - DC Surveyor. They are official, platted, recorded subdivision lots created by the D.C Surveyor’s Office in compliance with the Subdivision Ordinance of the District of Columbia (must have public street frontage, etc.). Typically, these lots are numbered 1 through 799 with no number being used more than once in a Square. Exceptions to this rule:
• When the 1-799 range has been exhausted within a square, the Surveyor’s Office assigns numbers from 1200 or may even use 8000 and above
• For reasons unknown, 42 Squares have record lot numbers greater than 799 but less than 1200 Additionally, in most case scenarios, a piece of property must be a Record Lot before a building permit will be issued for that site in the District of Columbia, and all proposed Record Lots are carefully reviewed by Zoning Administration officials for compliance with the city’s Zoning Ordinances. Other agencies that review new record lots besides OS are Office of Zoning, Office of Planning, the Dept. of Public Works, Historic Preservation, and DDOT.
Record lots are defined only when requested by property owners, normally when they are seeking a building permit. Record lots are recorded in Plat Books and Subdivision Books in the Office of the Surveyor. These documents are bound volumes of historical representations of the locations of property lines, and they include record dimensions, though typically no bearings of lines. These lots are located within squares, which usually correspond to one or two city blocks. Certain record lots can also be classified as “of-lots”. An "Of-Lot" is the D.C. Surveyor’s Office term for describing “Remaining/Part of Original Lot X”
In the record lot feature class, if a domain value of 1 resides in the “OF_LOT” field, you can assume that at one time the original lot was modified. Typically, any of these of-lots will also have a tax lot overlaying them since it is a piece or remainder of a Record Lot.
Tax Lots (TaxLotsPT, TaxLotsLN, TaxLotsPLY) - RPTA defines assessment and taxation lots, often referred to as A&amp;T lots or simply tax lots. These lots are strictly for real estate taxation purposes and normally defined under two circumstances: • When property owners ask for their real property tax bills to be consolidated, after they have bought several contiguous record lots; this is called a combine;
• When part of a record lot is sold, but no new record lot is yet defined; this is called a split request. Tax lots are not determined by survey, and are therefore not official lots in the same way record lots are. These lots are normally numbered between 800 and 1999 within a square to differentiate them from record lots on the property tax maps. When a tax lot is established by RPTA, an A&amp;T Plat is generated by RPTA and forwarded to the surveyor’s office. These A&amp;T Plats are not reviewed but simply filed by the Surveyor; they do not comply with the standards required of subdivision plats, and are not recorded. Tax Lots are not normally acceptable when applying for building permits and must be converted to Record Lots through the normal subdivision process involving the D.C. Surveyor’s Office before permits will be issued. The only exception is if the lot does not face a public street. Furthermore, at the time of their creation and platting, there is no review made of tax lots for compliance with D.C. Zoning, Subdivisions or any other ordinances. These lots are simply pieces of property, owned by somebody, described in deeds, for which tax bills are sent and real estate taxes are collected by the city. Some Record Lots also function in this capacity. Geographically, tax lots typically overlay layers such as record lots or sometimes reservations. There are known instances where tax lots do not overlay these types of layers. Up until approximately 1972, A&amp;T lots were only created by the Tax Assessor out of lands that had been previously Record Lots at some point in their history. For a short period of time in the early to mid 1970s, a decision was made to start eliminating fractional parcels (see definition below) and make them all into A&amp;T lots. The intent was to do away with Parcels altogether and have all properties in the city be either tax lots or record lots. By doing this, they converted unsubdivided parcels into A&amp;T lots where no underlying record lot exists. There is often little or no historical source information about these types of transactions therefore vectorizing them often required vast amounts of research.
Reservations - U.S. Reservations are lands acquired for use by the Federal Government after the original founding of the city. These were all acquired by the Federal Government through purchase, condemnation, dedication, or gift and almost all of the U.S. Reservations in Washington are under the Jurisdiction of the National Park Service. Unlike Appropriations, U.S. Reservations are found throughout the city. The National Park Service also has information for every U.S. Reservation and Appropriation in addition to DOB Office of the Surveyor having some detailed information on transactional history. It should be noted that RPTA has converted some reservations to tax lots for land tracking purposes however the federal government still maintains ownership in many of these cases.
Squares (SquaresPT, SquaresLN, SquaresPLY) - Squares are calculated by the outer extents of the record or tax lots within a defined area (typically a city block). There are roughly 4896 active squares. A Square is similar to a city block. Squares were numbered starting at 1 and are currently in the 6000 series. Not all squares are active. A common cause of squares becoming inactive has been through street closing and combining squares. When the squares are combined usually the lower square number is killed and the higher square number is used for the combined square. For example if squares 1 and 2 are combined, square 1 is killed and the combination becomes square 2.
Spatial Location of Squares
Each Square is an Island, alone unto itself. There is not now, and has never been, any citywide Survey Coordinate System in D.C. Most squares are unrelated to other Squares by “Measured.” They are related by Record. Street width is approximate. You cannot rely on the published official street widths to set up property lines or determine right-of-way. There is digital scan information available from DDOT regarding Right-of-Way. Some Squares are divided by streets. That is, the same Square continues on the other side of the street. Since there is no citywide Survey Coordinate System, squares were placed in their approximate location. This process is known as “best fit”.
Appropriations - U.S Appropriations are lands set aside at the time of the original founding and platting of the city for use by the U.S. Federal Government. The White House, for instance, Treasury Building, Ellipse, and Lafayette Square all sit on Appropriation No. 1. D.C General Hospital is on Appropriation No.13 (with the consent of the Federal Government). Appropriations are often confused with U.S Reservations but the two terms are not interchangeable. There are 17 U.S Appropriations in Washington, D.C., all of which are located within the limits of the Original City and, by definition; there can never be any more.
OwnerPly - Is a single polygon feature class that is built from various polygon feature classes of the Vector Property Mapping Program. The purpose of the layer is to represent all lands that are outside right-of-way. The Office of Tax and Revenue maintains a database known as Information Tax System (ITS) that contains the accounts for the real property taxes. ITS records reference record lots, tax lots, parcels, condominiums and federally owned lands such as reservations. Information from ITS is conflated to OwnerPly features by SSL (Square, Suffix and Lot). This ownership layer has a point for all properties including condominiums and un-taxed federal properties with selected tax assessment information attached as attributes. NOTE: the OwnerPly does not include condo records. These can be found in condo relate tables. This layer is regenerated WEEKLY with an automated algorithm using the latest Pubic Extract information for attribution. In March and September, the ITS Public Extract file is frozen for 4-5 weeks for processing during billing periods.
AlleyLns (AlleyLN, AlleyPLY) - Alley widths/ street frontages were captured during the vector property effort and reside in their own feature class. 99% of the time, these features should be coincident with the square boundary. The exceptions to this are internal alleys that might be overlaid by a tax lot. They were captured largely to enable continuity within each square. Alley Polygon does not exist. They could be created with this data by using an automated routine which searches linear feature of the Record, Tax and Parcel Lots feature classes where Line_Classification = 3, 4 and 6, then turning these selected lines into polys, another method would be clipping a square boundary with the tax and record lots.
Building Restriction Lns - These are lines beyond which property owners or others have no legal or vested rights to extend a building or any part thereof without approval of the proper authorities; ordinarily a line of demarcation between public and private property, but also applied to a building restriction line, when recorded in the records of the Surveyor.
Highway Planning Lns - There are lines that occurred on the city’s 1901-1905 set of master plans for all proposed roads. If a highway planning line crosses a particular property, that land cannot become a Record Lot by subdivision, even if the proposed street is no longer needed or will never be built. However there is a procedure through which a proposed road can be removed from the Highway Plan freeing up affected land for subdivision or development.
Public Easement Lns (PublicEasementsLN) - These are not to be confused with utility or private easements. They are often placed after an alley closing for traffic or access.</suppInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.0.2.36056</envirDesc>
<idCitation>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<date>
<reviseDate>2026-04-04T11:31:55</reviseDate>
</date>
<resTitle>Appropriations</resTitle>
<citRespParty>
<rpOrgName>Department of Buildings</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
<displayName>Department of Consumer and Regulatory Affairs - Office of Surveyor</displayName>
<rpPosName>Office of the Surveyor</rpPosName>
</citRespParty>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-77.053173</westBL>
<eastBL Sync="TRUE">-76.972388</eastBL>
<northBL Sync="TRUE">38.900091</northBL>
<southBL Sync="TRUE">38.861306</southBL>
</GeoBndBox>
</geoEle>
<exDesc>Washington DC</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2005-01-01T00:00:00</tmBegin>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<idPurp>U.S Appropriations are lands set aside at the time of the original founding and platting of the city for use by the U.S. Federal Government.</idPurp>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This work is licensed under a &lt;/SPAN&gt;&lt;A href="https://creativecommons.org:443/licenses/by/4.0" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Creative Commons Attribution 4.0 International License&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idPoC>
<rpOrgName>Department of Buildings</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
<displayName>Department of Consumer and Regulatory Affairs - Office of Surveyor</displayName>
<rpPosName>Office of the Surveyor</rpPosName>
<displayName>Department of Buildings</displayName>
</idPoC>
<idPoC>
<editorSource>external</editorSource>
<editorDigest>3cf56e1fc8cc8205cbc5981374be7a2dd7af6e10</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<displayName>GIS Data Coordinator</displayName>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<tpCat>
<TopicCatCd value="015"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintNote>Last metadata review date: 10/05/2022</maintNote>
</mdMaint>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="" type="DQConcConsis">
<measDesc>Vector Property Map QA/QC 1.) Specifications: Projection Parameters: Coord. System - NAD83, StatePlane, MD, FIPS 1900, meters. Correct Extent and Mapping Tolerances: Mapping tolerances implicitly define accuracy and precision of the vector feature datasets. Min X: 389000, Max X: 408000, Min Y: 124700, Max Y: 147900 Precision: 92563.95 (close to 5 decimals of precision) Cluster Tolerance: .003048006 2.) QA/QC Steps Attribute Verification - Database Structure, Domain Values, Field Population Topological Consistency - Verified Topology against a list of rules, as follows: Source Checks Squares were reviewed against their respective source documents (Record Lots- Subdivision Plats, Tax Lots- A&amp;T Plats) and checked for the following: - Ensure all lots were captured for each square - Check all lot line dimensions and square footages - Check for missing building restriction lines on original source plats - Check for proper lot bearings - Insure correct units were captured Squares and Lots Best Fit - Check each squares best fit against the 2002 imagery and ground level features such as curb, sidewalk and buildings. Errors found during DC QC process were cycled back to vendor until all correction had been completed. 3.) Topology Checks and Rules ParcelsLn - Must Be Covered By Boundary Of - ParcelsPly SquaresLn - Must Be Covered By Boundary Of - SquaresPly TaxLotsLn - Must Be Covered By Boundary Of - TaxLotsPly RecordLotsLn - Must Be Covered By Boundary Of - RecordLotsPly ParcelsLn - Must Not Have Dangles RecordLotsLn - Must Not Have Dangles SquaresLn - Must Not Have Dangles TaxLotsLn - Must Not Have Dangles TaxLotsLn - Must Not Self-Intersect SquaresLn - Must Not Self-Intersect RecordLotsLn - Must Not Self-Intersect ParcelsLn - Must Not Self-Intersect AlleyLn - Must Not Self-Intersect TaxLotsLn - Must Be Single Part SquaresLn - Must Be Single Part RecordLotsLn - Must Be Single Part ParcelsLn - Must Be Single Part AlleyLn - Must Be Single Part TaxLotsPly - Must Not Overlap SquaresPly - Must Not Overlap RecordLotsPly - Must Not Overlap ParcelsPly - Must Not Overlap RecordLotsPly - Must Be Covered By - SquaresPly TaxLotsPly - Boundary Must Be Covered By - TaxLotsLn SquaresPly - Boundary Must Be Covered By - SquaresLn RecordLotsPly - Boundary Must Be Covered By - RecordLotsLn ParcelsPly - Boundary Must Be Covered By - ParcelsLn TaxLotsPly - Contains Point - TaxLotsPt SquaresPly - Contains Point - SquaresPt RecordLotsPly - Contains Point - RecordLotsPt ParcelsPly - Contains Point - ParcelsPt TaxLotsPt - Must Be Properly Inside - TaxLotsPly SquaresPt - Must Be Properly Inside - SquaresPly RecordLotsPt - Must Be Properly Inside - RecordLotsPly ParcelsPt - Must Be Properly Inside - ParcelsPly AlleyLn - Must Be Covered By Feature Class Of - SquaresLn AlleyLn - Must Be Covered By Boundary Of - SquaresPly</measDesc>
</report>
<report dimension="" type="DQCompOm">
<measDesc>Data is mostly complete thru April 2009. The following issues exist in the property data: 1.) Some squares contain COGO linework entered using degress, minutes, and seconds, as opposed to decimal degrees. This causes spatial inaccuracies that grow as the length of the line gets longer. 2.) Not all Parcels that reside outside of a Square(s) boundary have been processed/created. 3.) Not all Reservations have been processed/created. Other 1.) Alleys, Building restriction lines, Highway Plans, and Easements are captured if they were on the source material. Source material is active as of November 2002. It is known that not all of these features were captured. 2.) Street width is approximate. Users should rely on the published official street widths to set up property lines or determine right-of-way (this is from the DC Land Surveyors Hand Book). Likewise this should be taking into consideration when doing certain types of GIS analysis utilizing the VP data. 3.) Some Squares are divided by streets. That is, the same Square continues on the other side of the street. 4.) Not all of the fields are currently populated. The remainder of the attribution will be populated once the servers are returned from the vendor containing the source files. 5.) Efforts are being made to bring all layers current.</measDesc>
</report>
<report dimension="" type="DQQuanAttAcc">
<measDesc>Validated by source and/or responsible agency</measDesc>
</report>
<dataLineage>
<prcStep>
<stepDesc>-Corrections to some data anomalies -Approx. 283 of the 800 maintenance transactions completed to bring data current. This equates to the retiring of 614 tax and record lots (these are in the history feature classes) and the creation of 364 new tax and record lots. - 49 new Parcels -Updated Maintenance transaction table</stepDesc>
<stepProc>
<rpIndName>GIS Data Coordinator</rpIndName>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>202-727-5660</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20001</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30am - 5:30pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>1.) Scan all index cards in the Office of the Surveyor The index cards show lot history and indicate which subdivision (Book and Page) or Assessment and Taxation (A&amp;T) plat the lot was recorded. 2.) Digitally image all source material. Plats that were needed and necessary to construct active lots (Subdivisions, A&amp;T etc) were digitally imaged and indexed for easy retrieval. 3.) Build "Comp Sheet" of each square. Comp sheets are a paper representation of each square with lots and dimensional information, lot number, and other specifications. Since each square contains multiple source documents, comp sheets allow staff to see the sqaure as one, pasted together map. This expedited the COGO stage. 4.) COGO Lots. Using customized COGO application, build linear features for each square that maintain much of the attribution seen on the plats. 5.) Post Process the data Customized process to dissolve on duplicate lines, build poly's and point, attach attribution, topology, and other attributes.</stepDesc>
<stepProc>
<rpOrgName>D.C. Office of the Chief Technology Officer</rpOrgName>
<role>
<RoleCd value="009"/>
</role>
<rpIndName>GIS Data Coordinator</rpIndName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<displayName>GIS Data Coordinator</displayName>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>Recent changes to the Vector Property Layers include the addition of: 175 new Record Lots, 241 new Tax Lots, 144 new Parcel Lots, Completion of the remaining 7 Appropriations,And the retiring of: 4 Record Lots, 159 Tax Lots. Updating of all Metadata. Parcels that have recently been captured include land under the following: Saint Elizabeth's Several WMATA properties Several open park land (bordering Rock Creek) Anacostia Park Hardy Middle School @ Hamilton School Taft Jr. High School LaSalle Elementary School Mamie D. Lee Special Education School Patricia R Harris Education Center Trinity College Large parking lot servicing Trinity College Ukrainian Catholic Seminary McMillian Reservoir DPW - Fort Totten Waste Transfer Station.</stepDesc>
</prcStep>
<dataSource type="">
<srcDesc>location</srcDesc>
<srcMedName>
<MedNameCd value="018"/>
</srcMedName>
<srcCitatn>
<resTitle>Assessment and Taxation plats</resTitle>
<resAltTitle>Assessment and Taxation plats</resAltTitle>
<date>
<pubDate>2006-01-01</pubDate>
</date>
<citRespParty>
<rpOrgName>Office of the Chief Financial Officer - Real Property Tax Administration</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="006"/>
</presForm>
<presForm>
<fgdcGeoform>map</fgdcGeoform>
</presForm>
<citOnlineRes>
<linkage>http://ocfo.dc.gov</linkage>
</citOnlineRes>
</srcCitatn>
</dataSource>
<dataSource type="">
<srcDesc>location</srcDesc>
<srcMedName>
<MedNameCd value="018"/>
</srcMedName>
<srcCitatn>
<resTitle>subdivision map</resTitle>
<resAltTitle>subdivision maps</resAltTitle>
<date>
<pubDate>2006-01-01</pubDate>
</date>
<citRespParty>
<rpOrgName>Department of Consumer and Regulatory Affairs - Office of Surveyor</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="006"/>
</presForm>
<presForm>
<fgdcGeoform>map</fgdcGeoform>
</presForm>
<citOnlineRes>
<linkage>http://dcra.dc.gov</linkage>
</citOnlineRes>
</srcCitatn>
</dataSource>
<prcStep>
<stepDesc>- Appropriations: 10 of the 17 have been captured - Parcels: 81 new parcels. - Air Rights Lots: several additional lots retired and captured - Hundreds of new and retired record and tax lots (retired lots located in history layers) - Improved best fits around Grant Circle, parkland and railroads.</stepDesc>
<stepDateTm>2007-08-31</stepDateTm>
<stepProc>
<rpIndName>GIS Data Coordinator</rpIndName>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>202-727-5660</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20001</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30am - 5:30pm</cntHours>
</rpCntInfo>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>Recent updates include: - 122 new tax lots - 248 new record lots - 128 new Parcel Lots - 10 new Air Rights Lots - Corrections to several data anomalies. - COL feature class now has all the requested fields from John Codd. - Moved 16 Squares: 0393 0078 3113 1832 2850 1067 1080 5598 5999N 1300 3189 1065 1859 1815 1321 1292</stepDesc>
<stepDateTm>2007-11-01</stepDateTm>
<stepProc>
<rpOrgName>OCTO</rpOrgName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="AppropriationsPLY">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">17</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26985"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<eainfo>
<detailed Name="AppropriationsPLY">
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attrdef>Feature geometry</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">ESRI</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE</attrlabl>
<attalias Sync="FALSE">Shape</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="FALSE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">CREATION_DT</attrlabl>
<attalias Sync="FALSE">Creation Date</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Timestamp for when the record was created (posted to the database). The initial vectorization has the same creation date and recordation date of roll out for all feature classes.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">RECORDATION_DT</attrlabl>
<attalias Sync="FALSE">Recordation Date</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">200</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Recordation_DT is the date when a feature class were legally recorded. If the affected feature class is never recorded, this value should match the creation date. The initial vectorization has the same creation date and recordation date of roll out for all feature classes. Recordation date is meaningless for the feature classes that do not have a history such as all point features.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">NARRATIVE</attrlabl>
<attalias Sync="FALSE">Narrative</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This attribute stores general comments about the feature.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">EXPIRATION_DT</attrlabl>
<attalias Sync="FALSE">Expiration Date</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lot Expiration Date</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">STATUS</attrlabl>
<attalias Sync="FALSE">Status</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The status value is always set to 1 which is the only value in the STATUS_CURRENT coded value domain. The value of this attribute is constant for a class. It denotes whether the information is considered current or historical. This attribute is primarily used by applications.</attrdef>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>Feature is part of active layer</edomvd>
</edom>
</attrdomv>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ZIP5</attrlabl>
<attalias Sync="FALSE">Zipcode</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Zip Code</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">ZIP4</attrlabl>
<attalias Sync="FALSE">Zipcode +4</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Zip + 4 Value</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SQUARE</attrlabl>
<attalias Sync="FALSE">Square Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Square value from the SSL identifier.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SUFFIX</attrlabl>
<attalias Sync="FALSE">Suffix Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Suffix value from the SSL identifier.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LOT</attrlabl>
<attalias Sync="FALSE">Lot Number</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>The Lot value of SSL identifier.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.AREA</attrlabl>
<attalias Sync="FALSE">Shape Area</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Feature geometry</attrdef>
<attrdefs>Esri</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SE_ANNO_CAD_DATA</attrlabl>
<attalias Sync="FALSE">SE_ANNO_CAD_DATA</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>system generated field</attrdef>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.LEN</attrlabl>
<attalias Sync="FALSE">Shape Length</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Feature geometry</attrdef>
<attrdefs>Esri</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">APPROPRIATIONSPLYID</attrlabl>
<attalias Sync="FALSE">Appropriations Polygon ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Appropriations Polygon ID</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">STREET_NAME</attrlabl>
<attalias Sync="FALSE">Street Name</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Street Name</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">LOT_TYPE</attrlabl>
<attalias Sync="FALSE">Lot Type</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Denotes the type of lot.</attrdef>
<attrdomv>
<edom>
<edomv>1</edomv>
<edomvd>Record Lot</edomvd>
</edom>
<edom>
<edomv>2</edomv>
<edomvd>Tax Lot</edomvd>
</edom>
<edom>
<edomv>3</edomv>
<edomvd>Air Rights</edomvd>
</edom>
<edom>
<edomv>4</edomv>
<edomvd>Reservation</edomvd>
</edom>
<edom>
<edomv>5</edomv>
<edomvd>Appropriation</edomvd>
</edom>
<edom>
<edomv>6</edomv>
<edomvd>Parcel Lot</edomvd>
</edom>
</attrdomv>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">COMPUTED_AREA_SF</attrlabl>
<attalias Sync="FALSE">Computed Area Sq Ft</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>The area computed by the system.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SURVEYED_AREA_SF</attrlabl>
<attalias Sync="FALSE">Surveyed Area Sq Ft</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>The area from a survey plat.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">RECORD_AREA_SF</attrlabl>
<attalias Sync="FALSE">Recorded Area Sq Ft</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Area in square foot as recorded with the deed.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">IS_REAR_OF</attrlabl>
<attalias Sync="FALSE">Is Rear Of</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lot is Rear Of Code</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BLDG_NUM</attrlabl>
<attalias Sync="FALSE">Building Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">20</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Building Number</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BLDG_NUM_EXT</attrlabl>
<attalias Sync="FALSE">Exterior Building Number</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Exterior Building Number</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BLDG_NUM_END_RANGE</attrlabl>
<attalias Sync="FALSE">Building Number End Range</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Building Number End Range</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">BLDG_EXT_END_RANGE</attrlabl>
<attalias Sync="FALSE">Building Exterior End Range</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Building Exterior End Range</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">CONV_TOLERANCE_TYPE</attrlabl>
<attalias Sync="FALSE">Convergence Tolerance Type </attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>A measure of how well the lot closed in.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">CONV_TOLERANCE_VALUE</attrlabl>
<attalias Sync="FALSE">Convergence Tolerance Value</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Amount of closure error in meters</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">QUADRANT</attrlabl>
<attalias Sync="FALSE">Quadrant</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>DC Quadrant Value</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">CONV_TOLERANCE_RESOLUTION</attrlabl>
<attalias Sync="FALSE">Convergence Tolerance Resolution</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>This field stores the explanation of how type 2 and type 3 closure tolerances were resolved.</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">PARCELSPLYID</attrlabl>
<attalias Sync="FALSE">Parcel Polygon ID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Parcel Polygon Identifier</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SQUAREPLYID</attrlabl>
<attalias Sync="FALSE">Square Polygon ID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Square Polygon Identifier</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">SSL</attrlabl>
<attalias Sync="FALSE">SSL Number</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lot Square Suffix and Lot</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<enttyp>
<enttypl Sync="FALSE">AppropriationsPLY</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">17</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">COL</attrlabl>
<attalias Sync="FALSE">COL</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">36</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>COL</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">KILL_DT</attrlabl>
<attalias Sync="FALSE">Kill Date</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">40</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Date Lot was Killed</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">STREET_TYPE</attrlabl>
<attalias Sync="FALSE">Street Type</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Street type</attrdef>
<attrdefs>DOB</attrdefs>
</attr>
</detailed>
</eainfo>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="AppropriationsPLY">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">17</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
