This layer represents all the public and many of the private roadways in Massachusetts, including designations for Interstate, U.S. and State routes. Formerly known as the Massachusetts Highway Department (MHD) Roads, then the Executive Office of Transportation - Office of Transportation Planning (EOT-OTP) Roads, the MassDOT roads layer includes linework from the 1:5,000 road and rail centerlines data that were interpreted as part of the 1990s Black and White Digital Orthophoto project. The Massachusetts Department of Transportation - Office of Transportation Planning, which maintains this layer, continues to add linework from municipal and other sources and update existing linework using the most recent color ortho imagery as a base. The attribute table includes many "road inventory" items maintained in MassDOT's linear referencing system. The data layer published in November 2018 is based on the MassDOT 2017 year-end Road Inventory layer and results of a 2014-2015 MassDOT-Central Transportation Planning Staff project to conflate street names and other attributes from MassGIS' "base streets" to the MassDOT Road Inventory linework. The base streets are continually maintained by MassGIS as part of the NextGen 911 and Master Address Database projects. MassGIS staff reviewed the conflated layer and added many base street arcs digitized after the completion of the conflation work. MassGIS added several fields to support legacy symbology and labeling. Other edits included modifying some linework in areas of recent construction and roadway reconfiguration to align to 2017-2018 Google ortho imagery, and making minor fixes to attributes and linework.In ArcSDE this layer is named EOTROADS_ARC.From this data layer MassGIS extracted the Major Roads and Major Highway Routes layers.
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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
About the App This app hosts data from Heat Resilience Solutions for Boston (the Heat Plan). It features maps that include daytime and nighttime air temperature, urban heat island index, and extreme heat duration. About the DataA citywide urban canopy model was developed to produce modeled air temperature maps for the City of Boston Heat Resilience Study in 2021. Sasaki Associates served as the lead consultant working with the City of Boston. The technical methodology for the urban canopy model was produced by Klimaat Consulting & Innovation Inc. A weeklong analysis period during July 18th-24th, 2019 was selected to produce heat characteristics maps for the study (one of the hottest weeks in Boston that year). The data array represents the modelled, average hourly urban meteorological condition at 100 meter spatial resolution. This dataset was processed into urban heat indices and delivered as georeferenced image layers. The data layers have been resampled to 10 meter resolution for visualization purposes. For the detailed methodology of the urban canopy model, visit the Heat Resilience Study project website.
These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Bounds of the tracts and islands are photo interpreted from 1996 ortho photo mosaics created by the University of Rhode Island for the park. Tracts and islands are consistent with the legislated boundaries defined by PL 104-333 which also references map number BOHA 80,002. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.
Crosswalk numbers for the city of Boston. Generated in July 2008 from original maps dated 1951-1962 and related sketches. Placed using centerlines from Water and Sewer as well as block defintions. Shapefiles for individual districts were merged into this one file but do not have an active connection. Some discrepency between centerlines and earlier maps was allowed, though obvious problems were marked in red. The legend is consistent between all districts, except for Roxbury where the map did not distinguish mid-block or school crosswalks.
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Boston MA city boundary including water features.
City Council Districts were approved by the City Council, signed by the Mayor and took effect January 1, 2014. Districts were updated September 2016 based on the updates made to wards and precincts by the City of Boston Election department.
The 1:100,000-scale geologic map of the South Boston 30' x 60' quadrangle, Virginia and North Carolina, provides geologic information for the Piedmont along the I-85 and U.S. Route 58 corridors and in the Roanoke River watershed, which includes the John H. Kerr Reservoir and Lake Gaston. The Raleigh terrane (located on the eastern side of the map) contains Neoproterozoic to early Paleozoic(?) polydeformed, amphibolite-facies gneisses and schists. The Carolina slate belt of the Carolina terrane (located in the central part of the map) contains Neoproterozoic metavolcanic and metasedimentary rocks at greenschist facies. Although locally complicated, the slate-belt structure mapped across the South Boston map area is generally a broad, complex anticlinorium of the Hyco Formation (here called the Chase City anticlinorium) and is flanked to the west and east by synclinoria, which are cored by the overlying Aaron and Virgilina Formations. The western flank of the Carolina terrane (located in the western-central part of the map) contains similar rocks at higher metamorphic grade. This terrane includes epidote-amphibolite-facies to amphibolite-facies gneisses of the Neoproterozoic Country Line complex, which extends north-northeastward across the map. The Milton terrane (located on the western side of the map) contains Ordovician amphibolite-facies metavolcanic and metasedimentary gneisses of the Cunningham complex. Crosscutting relations and fabrics in mafic to felsic plutonic rocks constrain the timing of Neoproterozoic to late Paleozoic deformations across the Piedmont. In the eastern part of the map, a 5- to 9-kilometer-wide band of tectonic elements that contains two late Paleozoic mylonite zones (Nutbush Creek and Lake Gordon) and syntectonic granite (Buggs Island pluton) separates the Raleigh and Carolina terranes. Amphibolite-facies, infrastructural metaigneous and metasedimentary rocks east of the Lake Gordon mylonite zone are generally assigned to the Raleigh terrane. In the western part of the map area, a 5- to 8-kilometer-wide band of late Paleozoic tectonic elements includes the Hyco and Clover shear zones, syntectonic granitic sheets, and amphibolite-facies gneisses along the western margin of the Carolina terrane at its boundary with the Milton terrane. This band of tectonic elements is also the locus for early Mesozoic extensional faults associated with the early Mesozoic Scottsburg, Randolph, and Roanoke Creek rift basins. The map shows fluvial terrace deposits of sand and gravel on hills and slopes near the Roanoke and Dan Rivers. The terrace deposits that are highest in altitude are the oldest. Saprolite regolith is spatially associated with geologic source units and is not shown separately on the map. Mineral resources in the area include gneiss and granite quarried for crushed stone, tungsten-bearing vein deposits of the Hamme district, and copper and gold deposits of the Virgilina district. Surface-water resources are abundant and include rivers, tributaries, the John H. Kerr Reservoir, and Lake Gaston. Groundwater flow is concentrated in saprolite regolith, along fractures in the crystalline bedrock, and along fractures and bedding-plane partings in the Mesozoic rift basins.
The population density picture of Boston is generally a story of two Bostons: the high density central and northern neighborhoods, and the low density southern neighborhoods.The highest density areas of Boston are particularly concentrated in Brighton, Allston, and the Fenway area, areas of the city with large numbers of college students and young adults. There is also high population density in areas such as the Back Bay, the South End, Charlestown, the North End, and South Boston. These are all relatively small areas geographically, but have housing stock conducive to population density (e.g. multi-family dwelling units, row housing, large apartment buildings). The southern neighborhoods, specifically Hyde Park and West Roxbury, have significant numbers of people living in them, but lots sizes tend to be much larger. These areas of the city also tend to have more single family dwelling units. In that, there are fewer people per square mile than places north in the city. Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, areas of highest density exceed 30,000 persons per square kilometer. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.How to make this map for your city
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. After the field sampling was complete, aerial photograph signatures were verified for all of the associations using the classification plot data, Bell et al. (2002), and Elliman (2004) and (2005) data. These signatures were extrapolated to other areas within the park boundary that were not sampled. Using ARCGIS 9.1, polygon boundaries in the preliminary vegetation map were further edited and refined to develop a draft association-level vegetation map. Polygons were updated with USNVC association names and codes based on the classification plot data. Polygons that were attributed with land use - land cover categories in the preliminary vegetation map retained their attributes. The aerial photointerpretation key was updated. The thematic accuracy of this 2006 draft association-level vegetation association and land use map was then assessed for accuracy.
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The precincts displayed on this map were developed based on the 2020 U.S Census blocks and revised by the City of Boston Election Commission to conform to the voting precinct guidelines. These precincts were adopted in 2022 by the Board of Election Commission and by the MA State Legislature. Sources: U.S. Census, voter Registration database, and Massachusetts Secretary of the Commonwealth. This map is intended for planning and visualization purposes only.
This layer is sourced from gis.cityofboston.gov.
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Open spaces of conservation and recreation interest in Boston, Massachusetts, USA, regardless of ownership.
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This data contains the scores from the Residential Displacement Risk Map, created by the Mayor’s Office of Housing (MOH) and released in March of 2025. The Residential Displacement Risk Map is Boston’s first interactive map measuring current displacement pressures and levels of residential displacement risk across Boston. The map aims to increase understanding of this challenge, and will be updated every couple of years to keep track of changing patterns.
This map is part of Boston’s first ever Anti-Displacement Action Plan. The Action Plan responds to residential, small business, and cultural displacement with new tools to fill gaps in Boston’s existing anti-displacement toolkit. It will also better position the City to target resources to people, places, and spaces at greatest risk of displacement, and it includes recommendations for how to use this map in planning, policy, and development decision making.
The Residential Displacement Risk Map can also be used to raise awareness of displacement and housing instability challenges and provide a data-driven understanding of displacement risk. It is meant to be used by the City, residents, community organizations, academics, housing advocates, and more.
The Residential Displacement Risk Map measures community-level displacement, meaning how likely it is for high numbers of households to be displaced from an area, changing its fundamental demographic makeup. The Residential Displacement Risk Map does not measure household- or individual-level displacement risk, or how likely it is for any one household or individual to be displaced. Those who live in a high-risk area will not necessarily be displaced. The map only paints a general picture of an area’s sensitivity to displacement pressures. A higher score indicates a higher risk of displacement.
The Residential Displacement Risk Map measures direct displacement (when residents are forced to move from their homes, such as in an eviction or a foreclosure) and estimates economic displacement (when current residents of an area can no longer afford to live there). The map uses direct displacement as a guidepost for predicting where economic displacement is likely to occur, based on a variety of characteristics that are associated with direct displacement. If an area has high direct displacement (evictions and foreclosures), then it is likely to also have high economic displacement. More detail on how the Residential Displacement Risk Map measures risk can be found in the technical documentation linked below.
The Displacement Risk Map can be directly accessed here: https://experience.arcgis.com/experience/177e64a85f4041d2b4655d7cd1991c56/
Learn more about the City’s Anti-Displacement Action Plan here: https://www.boston.gov/departments/planning-advisory-council/anti-displacement-action-plan#:~:text=It%20lays%20out%20priority%20policies,and%20preserving%20existing%20affordable%20housing
Technical documentation for the map can be accessed here: https://docs.google.com/document/d/1ctv0S67Rx5GA46GbY_Glo_y-JYoQRCMS336yPDw_18o/edit?usp=sharing
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.
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Noise pollution in cities has major negative effects on the health of both humans and wildlife. Using iPhones, we collected sound-level data at hundreds of locations in four areas of Boston, Massachusetts (USA) before, during, and after the fall 2020 pandemic lockdown, during which most people were required to remain at home. These spatially dispersed measurements allowed us to make detailed maps of noise pollution that are not possible when using standard fixed sound equipment. The four sites were: the Boston University campus (which sits between two highways), the Fenway/Longwood area (which includes an urban park and several hospitals), Harvard Square (home of Harvard University), and East Boston (a residential area near Logan Airport). Across all four sites, sound levels averaged 6.4 dB lower during the pandemic lockdown than after. Fewer high noise measurements occurred during lockdown as well. The resulting sound maps highlight noisy locations such as traffic intersections and quiet locations such as parks. This project demonstrates that changes in human activity can reduce noise pollution and that simple smartphone technology can be used to make highly detailed maps of noise pollution that identify sources of high sound levels potentially harmful to humans in urban environments.
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Proposed City Council Redistricting Plan Councilor Flaherty (Docket #1351)
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The City of Boston adopted a Groundwater Conservation Overlay District (GCOD), zoning Article 32, in sections of the City to protect wood pile foundations of buildings from being damaged by lowered groundwater levels. For more information, visit Zoning Code Article 32 | Boston Groundwater Trust | Boston Water and Sewer Commission
Geospatial data about Boston, Massachusetts Police Districts. Export to CAD, GIS, PDF, CSV and access via API.
This layer represents all the public and many of the private roadways in Massachusetts, including designations for Interstate, U.S. and State routes. Formerly known as the Massachusetts Highway Department (MHD) Roads, then the Executive Office of Transportation - Office of Transportation Planning (EOT-OTP) Roads, the MassDOT roads layer includes linework from the 1:5,000 road and rail centerlines data that were interpreted as part of the 1990s Black and White Digital Orthophoto project. The Massachusetts Department of Transportation - Office of Transportation Planning, which maintains this layer, continues to add linework from municipal and other sources and update existing linework using the most recent color ortho imagery as a base. The attribute table includes many "road inventory" items maintained in MassDOT's linear referencing system. The data layer published in November 2018 is based on the MassDOT 2017 year-end Road Inventory layer and results of a 2014-2015 MassDOT-Central Transportation Planning Staff project to conflate street names and other attributes from MassGIS' "base streets" to the MassDOT Road Inventory linework. The base streets are continually maintained by MassGIS as part of the NextGen 911 and Master Address Database projects. MassGIS staff reviewed the conflated layer and added many base street arcs digitized after the completion of the conflation work. MassGIS added several fields to support legacy symbology and labeling. Other edits included modifying some linework in areas of recent construction and roadway reconfiguration to align to 2017-2018 Google ortho imagery, and making minor fixes to attributes and linework.In ArcSDE this layer is named EOTROADS_ARC.From this data layer MassGIS extracted the Major Roads and Major Highway Routes layers.