This polygon data layer contains the six Massachusetts Department of Transportation (MassDOT) Highway Districts in the Commonwealth of Massachusetts. The districts supervise all construction within its jurisdiction; performs on-site engineering; implements maintenance and preventative maintenance programs; generates proposals for maintenance and construction work; and provides engineering support to cities and towns.ProductionThe bounds of the MassDOT Highway Districts were digitized from the MassGIS survey-level town boundaries. In addition to the polygon layer, there is an arc layer following the sameline workas the polygon included in thedownloadableshape file.MetadataStatusThis data is current as of September 2013.

This polygondata layercontains MassDOT Highway sub-districts in the Commonwealth of Massachusetts. The sub-districts are sub-regions for each of the six highway districts. Their main purpose is to group highwaymaintenance teams for year-round state highway roadway maintenance.ProductionThe bounds of the districts were digitized from the MassGIS survey-level town boundaries.MetadataStatusThis data is current as of September 2013.

January 2025

This pointdata layercontains the depot locations in the Commonwealth of Massachusetts. A highway depot is a base for highway operations such as snow plow groups, sign maintenance, and highway landscaping. This layerprovides information about which district and sub district the depot is located in, the physical location of the depot, the crew(s) that operate out of the depot, the size (dimensions) of the depot, and whether the depot is a district office.ProductionThe locations of the depots were digitized from the Commonwealth of Massachusetts 1:5000 color orthophoto imagery.MetadataStatusThis data is current as of January 2012.

The Massachusetts House Legislative Districts (2012) datalayer reflects the state House of Representatives district boundaries as defined by Massachusetts General Laws, Chapter 57: Section 4. These 160 districts were those used in the elections from 2012 and prior to 2022, when they were superseded by the 2021 House Districts.Staff at the Massachusetts House of Representatives developed this layer with its contractor, Caliper Corp. (Newton, MA), using Maptitude for Redistricting software. MassGIS appended the 1:100,000 coastline and state outline and added the attribute fields. Election results are obtained from the Secretary of State.

GIS Maps, Transportation Data, and Reports for all modes of travel throughout Massachusetts.

This file contains the 65 cities and towns in Massachusetts for which MBTA bus or rapid transit service is provided. This data is based off of the 2010 census. The legislative intent for some boundaries could not be mapped. Boundaries where that is true are identified in the attribute information. Name Description Data Type Example town_name Full name for the MA town or city identification. String Boston town_id MassGIS Town-ID Code (alphabetical, 1-351) Numeric 34 sum_acres Area covered by the town or city in acres. Double 31304.22 sum_square Area covered by the town or city in square miles. Double 48.91 Use constraints: This data set, like all other cartographic products may contain inherent aberrations in geography or thematical errors. The boundaries included in this data set were developed using accepted GIS methodology. Cartographic products can never truly represent real-world conditions due to several factors. These factors can include, but are not limited to: human error upon digitizing, computational tolerance of the computer, or the distortion of map symbology. Because of these factors MassGIS cannot be held legally responsible for personal or property damages resulting from any type of use of the data set. These boundaries are suitable for map display and planning purposes. They cannot be used as a substitute for the work of a professional land surveyor.MassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

This map service contains both polygon and linear features for the boundaries of the Massachusetts State House of Representatives districts, which were signed into law on November 4, 2021, with Chapter 83 of the Acts of 2021. These boundaries began to be used with the fall 2022 elections and are based on demographic data from the 2020 U.S. Census.Member names from the results of the November 2022 election were populated in January 2023 and updated in February 2024. An update to the attributes due to a special election in the 6th Worcester District was added in June 2024.Member names from the results of the November 2024 election were populated in January 2025.See full metadataFeature service also available.

This polygon datalayer contains the fifteen Massachusetts Department of Transportation (MassDOT) Regional Transit Authorities (RTAs) in the Commonwealth of Massachusetts. These administrative districts manage the operations of the public transit systems within their jurisdiction and implement maintenance programs. The bounds of the MassDOT RTA Districts were digitized from the MassGIS survey level town boundaries. In addition to the polygon layers, there is an Arc version following the same linework as the polygon

Functional Classification refers to the character of services that a particular roadway is intended to provide. In general, roads either serve to provide mobility for vehicles or access to locations. The process of functional classification was mandated by Intermodal Surface Transportation Efficiency Act of 1991 (ISTEA) and implemented in 1993 by the Office of Transportation Planning in cooperation with the 13 Regional Planning Agencies. Roadways are divided into the following three classification categories:Arterials: These roadways provide the highest level of mobility at the greatest vehicular speed for the longest uninterrupted distances and are not intended to provide access to specific locations. Arterials are further subdivided into Principal Arterials and Minor Arterials. However, for the purposes of this report they have been grouped together. Please note that Interstates are considered Arterials, but they have been given their own category in this report.Collectors: These roadways provide some level of both mobility and access. They collect traffic from Local roads and funnel it to Arterials. In rural areas, collectors are further subdivided into Major Collectors and Minor Collectors, but for the purposes of this report they have been grouped together.Locals: These roadways provide access to abutting land with little or no emphasis on mobility. The termLocal road should not be confused with local jurisdiction. Most, but not all, functionally classified Local roads are under city/town jurisdiction.

The top locations where reported collisions occurred at intersections have been identified. The crash cluster analysis methodology for the top intersection clusters uses a fixed meter search distance of 25 meters (82 ft.) to merge crash clusters together. This analysis was based on crashes where a police officer specified one of the following junction types: Four way intersection, T-intersection, Y-intersection, five point or more. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). The clustering analysis used crashes from the three year period from 2019-2021. The area encompassing the crash cluster may cover a larger area than just the intersection so it is critical to view these spatially.

A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

Massachusetts State House of Representatives 2021 District Boundaries (linear features), as signed into law on November 4, 2021, with Chapter 83 of the Acts of 2021. These boundaries will be used beginning with the fall 2022 elections. These districts were based on demographic data from the 2020 U.S. Census.Member names from the results of the November 2022 election were populated in January 2023 and updated in February 2024. An update to the attributes due to a special election in the 6th Worcester District was added in June 2024.Member names from the results of the November 2024 election were populated in January 2025.See full metadataMap service also available.

This map service contains both polygon and linear features for the boundaries of the Massachusetts State Senate districts, which were signed into law on November 4, 2021, with Chapter 82 of the Acts of 2021. These boundaries began to be used with the fall 2022 elections and are based on demographic data from the 2020 U.S. Census.Member names with the results of the November 2022 election were entered in January 2023 and updated in February 2024.Member names from the results of the November 2024 election were populated in January 2025.See full metadataMap service also available.

The top locations where reported collisions occurred between bicyclists and motor vehicles have been identified. The crash cluster analysis methodology for the top bicycle clusters uses a fixed meter search distance of 100 meters (328 ft.) to merge crash clusters together. Located crashes between motor vehicles and bicyclists were identified by using the non-motorist type code as well as first harmful events and most harmful events within the CDS database. Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. EPDO is based any type of injury crash (including fatal, incapacitating, non-incapacitating and possible) having a weighting of 21 compared to a property damage only crash (which has weighting of 1). However, because of the relatively small number of reported bicycle crashes in the crash data file, the clustering analysis used crashes from the ten year period from 2008-2017. Additionally, due to the larger geographic area encompassed by the bicycle crash clusters, it was difficult to name them so they were left unnamed but can be viewed spatially.

Census geographic areas are used by the Census Bureau to collect, tabulate, and aggregate decennial census data, and are also used in more frequent demographics reports like the annual American Community Survey (ACS). Three levels of areal geography are available from MassGIS (with layer name in parentheses): Blocks, Block Groups, and TractsSee the datalayer metadata for full details.Map service also available.

The top locations where reported collisions occurred between pedestrians and motor vehicles have been identified. The crash cluster analysis methodology for the top pedestrian clusters uses a fixed meter search distance of 100 meters (328 ft.) to merge crash clusters together. Located crashes between motor vehicles and pedestrians were identified by using the non-motorist type code within the CDS database (which may yield different results from using most harmful event, first harmful event, or sequence of events data fields). Furthermore, the methodology uses the Equivalent Property Damage Only (EPDO) weighting to rank the clusters. However, because of the relatively small number of reported pedestrian crashes in the crash data file, the clustering analysis used crashes from the ten year period from 2008 - 2017. Additionally, due to the larger geographic area encompassed by the pedestrian crash clusters, it was difficult to name them so they were left unnamed but can be viewed spatially.

Massachusetts Counties, based on Survey Towns. Contains the 14 county polygons and a detailed coastline. Published as a map service from MassGIS' ArcGIS Server platform.See full metadata