20201113 05445700 1.0 FALSE 20201113 05465700 150000000 5000 ItemDescription TRUE NYS_Tax_Parcels_State_Owned.mxd 005 20201113 05465700 NYS_Tax_Parcels_State_Owned <DIV STYLE="text-align:Left;"><DIV><DIV>Publication Date: August 2020. Updated annually. This map service only contains parcel data for NYS State-owned tax parcels. Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2019 Assessment Roll tabular data the NYS GIS Program Office (GPO) obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS). This tabular data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel. The State-owned tax parcel polygons in this service are the result of a best effort selection based on the Primary Owner and Additional Owner fields in the NYS Statewide Tax Parcels file, GPO data, State agency data, and online research. These same data and information are also the basis for a best effort assignment of a NYS agency name (listed in the NYS Name field) to most tax parcel polygons where the Owner Type field value is State. The NYS Name Source field consists of a code that describes how the State-owned designation and agency name were determined, if this was verified, and the means of verification, if applicable. Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: <A href="https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm">https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm</A>. New York City data comes from NYC MapPluto which can be found here: <A href="https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page">https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page</A>. Parcel polygons range from 2016 to 2020. For field descriptions, see NYS-Tax-Parcels-Data-Dictionary.pdf available for download in the Supporting Documentation section on this page: <A href="http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1300">http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1300</A>. Attributes are the same for all GPO NYS Tax Parcel datasets. Geometry accuracy varies by contributing county. This map service is available to the public. The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created. </DIV></DIV></DIV> tax parcel cadastral parcel boundary real property lands New York State NYS State-owned tax parcel polygons with a concise set of attributes for public use. Spatial Reference of Source Data: Varies by contributing county. Spatial Reference of Map Service: WGS 1984 Web Mercator Auxiliary Sphere. Contributing counties, NYS Office of Information Technology Services GIS Program Office (GPO) and NYS Department of Taxation and Finance’s Office of Real Property Tax Services (ORPTS). Primary Contact: GPO, GISBoundaries@its.ny.gov, 518-242-5029. Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 <DIV STYLE="text-align:Left;"><DIV><DIV>The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created. This map service is available to the public. Geometry accuracy varies by contributing county. </DIV></DIV></DIV> 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Map dataset 20201113