To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

MassGIS' standardized assessors’ parcel mapping data set contains property (land lot) boundaries and database information from each community's assessor.The data were developed through a competitive procurement funded by MassGIS. Each community in the Commonwealth was bid on by one or more vendors and the unit of work awarded was a city or town. The specification for this work was Level 3 of the MassGIS Digital Parcel Standard.This feature service contains three feature classes and one table.Map service also available.See the datalayer page for full details.

MassGIS' standardized ("Level 3") property tax parcel mapping data set was developed through a competitive procurement funded by MassGIS. Each community in the Commonwealth was bid on by one or more vendors and the unit of work awarded was a city or town. The specification for this work was Level 3 of the MassGIS Digital Parcel Standard. Standardization of assessor parcel mapping is complete for all 351 Massachusetts' cities and towns. MassGIS is now incorporating updates from municipalities into the database. This hosted feature layer is exported from MassGIS' internal database of the feature class GISDATA.L3_TAXPAR_POLY_ASSESS, which links L3_TAXPAR_POLY and L3_ASSESS. The export includes the expression: (POLY_TYPE IN ('FEE', 'TAX')) OR (POLY_TYPE IN ('ROW', 'PRIV_ROW', 'RAIL_ROW', 'WATER') AND PROP_ID IS NOT NULL) It contains several fields from GISDATA.L3_ASSESS and stacked polygons where multiple assessor records link to a parcel. It contains features that do not have an associated record in GISDATA.L3_ASSESS, except for rights of way and water bodies. ROWs and water bodies with a non-null PROP_ID are included. The data in this feature layer is used for the popups in the Massachusetts Interactive Property Map. See full data descriptionA hosted tile layer will draw very quickly at map scale of 1:18,056 (level 15) to 1:564 (level 20).

March 2025

Amherst, MA Property Lines.Metadata is available at http://gis.amherstma.gov/data/metadata/parcels.htm

This map service contains the Property Tax Parcel Mapping from MassGIS. The data are cached and stored as a tiled map service (levels 15-20) at ArcGIS Online for fast display.

This tile cache was last updated on January 28, 2025.

MassGIS' standardized "Level 3" assessors’ parcel mapping data set contains property (land lot) boundaries and database information from each community's assessor.

The data were developed through a competitive procurement funded by MassGIS. Each community in the Commonwealth was bid on by one or more vendors and the unit of work awarded was a city or town. The specification for this work was Level 3 of the MassGIS Digital Parcel Standard. Standardized data are available for all of Massachusetts' 351 cities and towns.

MassGIS is continuing the project, updating parcel data provided by municipalities. See the L3 Parcel Fiscal Year Status Map.To query the parcels, use the hosted feature layer.

Town of Rehoboth, MA GIS Viewer

Prior to upload to the AGOL cloud, the Martha's Vineyard Commission set a definition query to only include those parcels having an Assessor's Use Code of either 6*, 7*, or 8*.The parcel boundaries and info are the most recent available per MassGIS as of June 2019. For the most current assessing info, please contact the Town's Assessing Office.The parcel boundaries and attribute table conform to the State's Level 3 Parcel Data Standard. See MassGIS for full details.See the MA Property Types Classification Code for a full explanation of each code.

Level 3 Parcel Data Standard Compliant parcel boundaries for Edgartown, MA. A 1-M relationship class exists from the parcels to the Assess table and from parcels to the Building table.The building table is an additional table (not part of the Level 3 Standard). Building info was provided by the Town assessor in late 2019/early 2020.

This layer represents the property boundaries for the Town of Wellesley, MA. These boundaries were originally developed from the Town's existing tax maps and automated onto aerial photography. Property information is included from the Town of Wellesley Assessor's Office.

This polygon layer contains all of the property parcels in Cambridge. Each parcel has a unique Map and Lot ID number that links it to a record in the Assessing Department's Vision database system. Created for internal use by the Assessing Department to provide a visual reference associated with each parcel in the CAMA database. Created for interdepartmental and external use as part of the web viewers on the City's website. Also created for addressing/geocoding needs, although the Buildings and Master Address List are currently more accurate than Parcels. NOTE: The Parcels GIS data layer is NOT used by Assessing to calculate land area or taxes. Assessors refer to actual deeds or plans accepted by the Massachusetts Land Court. The figures stored in the GIS data layer are for general reference purposes only.

For more information and download links see: https://www.cambridgema.gov/GIS/gisdatadictionary/Assessing

Background and Data Limitations The Massachusetts 1830 map series represents a unique data source that depicts land cover and cultural features during the historical period of widespread land clearing for agricultural. To our knowledge, Massachusetts is the only state in the US where detailed land cover information was comprehensively mapped at such an early date. As a result, these maps provide unusual insight into land cover and cultural patterns in 19th century New England. However, as with any historical data, the limitations and appropriate uses of these data must be recognized: (1) These maps were originally developed by many different surveyors across the state, with varying levels of effort and accuracy. (2) It is apparent that original mapping did not follow consistent surveying or drafting protocols; for instance, no consistent minimum mapping unit was identified or used by different surveyors; as a result, whereas some maps depict only large forest blocks, others also depict small wooded areas, suggesting that numerous smaller woodlands may have gone unmapped in many towns. Surveyors also were apparently not consistent in what they mapped as ‘woodlands’: comparison with independently collected tax valuation data from the same time period indicates substantial lack of consistency among towns in the relative amounts of ‘woodlands’, ‘unimproved’ lands, and ‘unimproveable’ lands that were mapped as ‘woodlands’ on the 1830 maps. In some instances, the lack of consistent mapping protocols resulted in substantially different patterns of forest cover being depicted on maps from adjoining towns that may in fact have had relatively similar forest patterns or in woodlands that ‘end’ at a town boundary. (3) The degree to which these maps represent approximations of ‘primary’ woodlands (i.e., areas that were never cleared for agriculture during the historical period, but were generally logged for wood products) varies considerably from town to town, depending on whether agricultural land clearing peaked prior to, during, or substantially after 1830. (4) Despite our efforts to accurately geo-reference and digitize these maps, a variety of additional sources of error were introduced in converting the mapped information to electronic data files (see detailed methods below). Thus, we urge considerable caution in interpreting these maps. Despite these limitations, the 1830 maps present an incredible wealth of information about land cover patterns and cultural features during the early 19th century, a period that continues to exert strong influence on the natural and cultural landscapes of the region.

    Acknowledgements
    Financial support for this project was provided by the BioMap Project of the Massachusetts Natural Heritage and Endangered Species Program, the National Science Foundation, and the Andrew Mellon Foundation. This project is a contribution of the Harvard Forest Long Term Ecological Research Program.

Town of Sutton, MA GIS Viewer

High resolution land cover dataset for City of Boston, MA. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2013 LiDAR data, 2014 Orthoimagery, and 2016 NAIP imagery. Ancillary data sources included GIS data provided by City of Boston, MA or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2500 and all observable errors were corrected.

High resolution land cover dataset for City of Boston, MA. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2013 LiDAR data, 2014 Orthoimagery, and 2016 NAIP imagery. Ancillary data sources included GIS data provided by City of Boston, MA or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2500 and all observable errors were corrected.

Credits: University of Vermont Spatial Analysis Laboratory in collaboration with the City of Boston, Trust for Public Lands, and City of Cambridge.

Working with a panel of practitioners and regional experts, we developed and analyzed four plausible but divergent land-use scenarios that depict the future of Massachusetts from 2010 to 2060. We simulated the land-use scenarios and their interactions with anticipated climate change by coupling statistical models of land use to the LANDIS-II landscape model and then evaluated the outcomes in terms of the magnitude and spatial distribution of (1) direct human uses of the landscape (residential and commercial development, agricultural, timber harvest), (2) ecosystem services (carbon storage, flood regulation, nutrient retention), and (3) habitat quality (forest tree species composition, interior forest habitat). Across all scenarios, conflicts occurred between dispersed residential development and the supply of ecosystem services and habitat quality. In all but the scenario that envisioned a significant agricultural expansion, forest growth resulted in net increases in aboveground carbon storage, despite the concomitant forest clearing and harvesting. One scenario, called Forests as Infrastructure, showed the potential for synergies between increased forest harvest volume through the sustainable practices that encouraged the maintenance of economically and ecologically important tree species, and carbon storage. This scenario also showed trade-offs between development density and water quantity and quality at the watershed scale. The process of integrated scenario analysis led to important insights for land managers and policymakers in a populated forested region where there are tensions among development, forest harvesting, and land conservation. More broadly, the results emphasize the need to consider the consequences of contrasting land-use regimes that result from the interactions between human decisions and spatially heterogeneous landscape dynamics.

description: This data set was created to depict land tenure allocations from the BLM Greater Sage-Grouse Land Use Planning Strategy in the Utah Sub-Region. This data was developed to reflect the land tenure actions (MA-LR-9 and MA-LR-10) of the final agency decision to amend 14 BLM land use plans throughout the State of Utah. This planning process was initiated through issuance of a Notice of Intent published on December 6, 2011. This dataset is associated with the Record of Decision and Approved Resource Management Plan Amendments for the Great Basin Region, released to the public via a Notice of Availability on September 24, 2015. The purpose of the planning process was to address protection of greater sage-grouse, in partial response to a March 2010 decision by the U.S. Fish and Wildlife Service (FWS) that found the greater sage-grouse was eligible for listing under the authorities of the Endangered Species Act. The planning process resulted in preparation of a draft environmental impact statement (DEIS) and final environmental impact statement (FEIS) in close coordination with cooperating agencies for the planning effort. The planning effort addressed the adequacy of regulatory mechanisms found in the land use plans, as well as addressing the myriad threats to grouse and their habitat that were identified by the FWS. This data set displays the decision that federal lands within priority and general habitat management areas will be retained in federal ownership, pending documentation of criteria noted in MA-LR-9 of the ROD/ARMPA. Note that further site-specific analysis of the any parcels would be required prior to disposal. The parcel data has been obtained from approved land use plans as of May 2012, and consolidated into a statewide data set. In Section 102 of FLPMA Congress declared: "it is the policy of the United States that the public lands be retained in Federal ownership, unless as a result of the land use planning...it is determined that disposal of a particular parcel will serve the national interest" (43 U.S.C. 1701 (a)(1)). While not originally mapped as retention areas in the land use plans, public lands are managed according to this Congressional direction, as well as disposal authorities in FLPMA Sections 203 and 206 and other non-FLPMA legal disposal authorities. Land tenure adjustments in Priority Habitat Management Areas and General Habitat Management Areas would also be consistent with the land use plan direction. Credits: Mary von Koch and Jean Carson Moab BLM, Premier Data Sources for Cedar City BLM, Paul Leatherbury Monticello BLM, Jason Anderson Richfield, SWCA Inc. for Vernal BLM.; abstract: This data set was created to depict land tenure allocations from the BLM Greater Sage-Grouse Land Use Planning Strategy in the Utah Sub-Region. This data was developed to reflect the land tenure actions (MA-LR-9 and MA-LR-10) of the final agency decision to amend 14 BLM land use plans throughout the State of Utah. This planning process was initiated through issuance of a Notice of Intent published on December 6, 2011. This dataset is associated with the Record of Decision and Approved Resource Management Plan Amendments for the Great Basin Region, released to the public via a Notice of Availability on September 24, 2015. The purpose of the planning process was to address protection of greater sage-grouse, in partial response to a March 2010 decision by the U.S. Fish and Wildlife Service (FWS) that found the greater sage-grouse was eligible for listing under the authorities of the Endangered Species Act. The planning process resulted in preparation of a draft environmental impact statement (DEIS) and final environmental impact statement (FEIS) in close coordination with cooperating agencies for the planning effort. The planning effort addressed the adequacy of regulatory mechanisms found in the land use plans, as well as addressing the myriad threats to grouse and their habitat that were identified by the FWS. This data set displays the decision that federal lands within priority and general habitat management areas will be retained in federal ownership, pending documentation of criteria noted in MA-LR-9 of the ROD/ARMPA. Note that further site-specific analysis of the any parcels would be required prior to disposal. The parcel data has been obtained from approved land use plans as of May 2012, and consolidated into a statewide data set. In Section 102 of FLPMA Congress declared: "it is the policy of the United States that the public lands be retained in Federal ownership, unless as a result of the land use planning...it is determined that disposal of a particular parcel will serve the national interest" (43 U.S.C. 1701 (a)(1)). While not originally mapped as retention areas in the land use plans, public lands are managed according to this Congressional direction, as well as disposal authorities in FLPMA Sections 203 and 206 and other non-FLPMA legal disposal authorities. Land tenure adjustments in Priority Habitat Management Areas and General Habitat Management Areas would also be consistent with the land use plan direction. Credits: Mary von Koch and Jean Carson Moab BLM, Premier Data Sources for Cedar City BLM, Paul Leatherbury Monticello BLM, Jason Anderson Richfield, SWCA Inc. for Vernal BLM.

Town of Chelmsford, MA GIS Viewer

Extract of Cambridge Assessing Department on-line property database file for the most recently released fiscal year. Contains residential, condo, commercial and exempt data. Please refer to Cambridge's property database website for official assessment data: https://www.cambridgema.gov/propertydatabaseThis Feature Service will be updated annually with the latest fiscal year's data.The following fields are contained in the property database table.Field NameDescriptionPIDInternal Unique Parcel IDGISIDLink to ML in GIS Parcels layerBldgNumBuilding Number on ParcelAddressParcel AddressUnitUnit NumberStateClassCodeState Classification CodePropertyClassClassification Code descriptionZoningZoning (Unofficial)Map/LotAssessor's Map and Lot IDLandAreaLand area in square feetYearOfAssessmentFiscal Year of Assessment for this recordTaxDistrictDistrict for valuation groupingResidentialExemptionReceiving Residential exemption for fiscal yearBuildingValueAssessed value of building improvements on the parcelLandValueAssessed value of land on the parcelAssessedValueTotal assessed valueSalePricePrice listed for last deed transfer for the parcelBook/PageBook and Page number from the registry of deeds for last deed transactionSaleDateDate of last deed transactionPreviousAssessedValueTotal assessed value for the prior fiscal yearOwner_NameName of owner of record for the date of assessmentOwner_CoOwnerNameName of co-owner of record for the date of assessmentOwner_AddressAddress of owner of record for the date of assessmentOwner_Address2Second line of address of owner of record for the date of assessmentOwner_CityCity of owner of record for the date of assessmentOwner_StateState of owner of record for the date of assessmentOwner_ZipZip code of owner of record for the date of assessmentExterior_StyleBuilding style descriptionExterior_occupancyBuilding occupany, or use, type descriptionExterior_NumStoriesNumber of stories for the buildingExterior_WallTypeExterior wall material descriptionExterior_WallHeightAverage height of floors in a commercial or apartment buildingExterior_RoofTypeRoof structure descriptionExterior_RoofMaterialRoof material descriptionExterior_FloorLocationFloor level for condominium unitsExterior_ViewView quality rating for condominiumsInterior_LivingAreaFinished area of buildingInterior_NumUnitsNumber of units in a commercial or apartment buildingInterior_TotalRoomsTotal number of rooms in a condominium or residential buildingInterior_BedroomsTotal number of bedrooms in a condominium or residetential buildingInterior_KitchensKitchen description in condominium unitInterior_FullBathsCount of full bathrooms in a condominium unit or residential buildingInterior_HalfBathsCount of half bathrooms in a condominium unit or residential buildingInterior_FireplacesCount of fireplaces in residential buildingsInterior_FlooringDescription of primary floor cover materialInterior_LayoutLayout description for condominium unitInterior_LaundryInUnitYes or No flag for in unit laundry for condominiumSystems_HeatTypeHeat system type descriptionSystems_HeatFuelHeat fuel type descriptionSystems_CentralAirCentral air conditioning system indicatorSystems_PlumbingRating of plumbing system for commercial buildingCondition_YearBuiltActual year built of buildingCondition_InteriorConditionDescription of interior condition of residential buildingCondition_OverallConditionDescription of overall condition of buildingCondition_OverallGradeDescription of overall grade of buildingParking_OpenNumber of open parking spaces for residential building or condominium unitParking_CoveredNumber of covered parking spaces for residential building or condominium unitParking_GarageNumber of garage parking spaces for residential building or condominium unitUnfinishedBasementGrossUnfinished basement areaFinishedBasementGrossFinished basement area

This interactive map allows you to view Wellesley's GIS data and lookup property information within the Town.