This map service contains boundaries for the following types of public school districts:Local School - administered by a city or town school committee.Regional Academic - administered by a regional school committee.Regional Vocational Technical - administered by a regional vocational school committee.Independent Vocational and County Agricultural - administered by a board of trustees.Independent Public, including Commonwealth Charter Schools and Horace Mann Charter SchoolsDistrict information as of December 2, 2014, was obtained from the Massachusetts Department of Elementary and Secondary Education (ESE).For full metadata see https://www.mass.gov/info-details/massgis-data-public-school-districtsMap service also available.

2020 Census data for the city of Boston, Boston neighborhoods, census tracts, block groups, and voting districts. In the 2020 Census, the U.S. Census Bureau divided Boston into 207 census tracts (~4,000 residents) made up of 581 smaller block groups. The Boston Planning and Development Agency uses the 2020 tracts to approximate Boston neighborhoods. The 2020 Census Redistricting data also identify Boston’s voting districts.

For analysis of Boston’s 2020 Census data including graphs and maps by the BPDA Research Division and Office of Digital Cartography and GIS, see 2020 Census Research Publications

For a complete official data dictionary, please go to 2020 Census State Redistricting Data (Public Law 94-171) Summary File, Chapter 6. Data Dictionary. 2020 Census State Redistricting Data (Public Law 94-171) Summary File

2020 Census Tracts In Boston

2020 Census Block Groups In Boston

Boston Neighborhood Boundaries Approximated By 2020 Census Tracts

Boston Voting District Boundaries

This map shows a simple summary of the social vulnerability of populations in the United States. Using Census 2010 information, the map answers the question “Where are the areas of relatively greater potential impact from disaster events within the U.S.?” from the perspective of social vulnerability to hazards. In other words, all areas of the U.S. are assessed relative to each other. Local and regional assessments of social vulnerability should apply the same model to their multi-county or multi-state region. For emergency response planning and hazard mitigation, populations can be assessed by their vulnerability to various hazards (fire, flood, etc). Physical vulnerability refers to a population’s exposure to specific potential hazards, such as living in a designated flood plain. There are various methods for calculating the potential or real geographic extents for various types of hazards. Social vulnerability refers to sensitivity to this exposure due to population and housing characteristics: age, low income, disability, home value or other factors. The social vulnerability score presented in this web service is based upon a 2000 article from the Annals of the Association of American Geographers which sums the values of 8 variables as a surrogate for "social vulnerability". For example, low-income seniors may not have access to a car to simply drive away from an ongoing hazard such as a flood. A map of the flood’s extent can be overlaid on the social vulnerability layer to allow planners and responders to better understand the demographics of the people affected by the hazard. This map depicts social vulnerability at the block group level. A high score indicates an area is more vulnerable. This web service provides a simplistic view of social vulnerability. There are more recent methods and metrics for determining and displaying social vulnerability, including the Social Vulnerability Index (SoVI) which capture the multi-dimensional nature of social vulnerability across space. See www.sovius.org for more information on SoVI. The refereed journal article used to guide the creation of the model in ModelBuilder was: Cutter, S. L., J. T. Mitchell, and M. S. Scott, 2000. "Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina." Annals of the Association of American Geographers 90(4): 713-737. Additionally, a white paper used to guide creation of the model in ModelBuilder was "Handbook for Conducting a GIS-Based Hazards Assessment at the County Level" by Susan L. Cutter, Jerry T. Mitchell, and Michael S. Scott.Off-the-shelf software and data were used to generate this index. ModelBuilder in ArcGIS 10.1 was used to connect the data sources and run the calculations required by the model.-------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Find Massachusetts health data by community, county, and region, including population demographics. Build custom data reports with over 100 health and social determinants of health data indicators and explore over 28,000 current and historical data layers in the map room.

March 2025

The MassDEP Wetlands service comprises two feature types, polygons (areas) and arcs (lines). The attribute codes in the polygon layer describe different types of wetland environments and the arc attributes describe line types based on adjacent polygon types or arcs defined as hydrologic connections.

This map service displays the data based on the generalized categories in the POLY_CODE and ARC_CODE fields. The 2005 MassDEP Wetlands layers provide a medium-scale representation of wetland areas of the state. Wetland areas consist of open water, vegetated wetlands, and coastal landforms. The hydrologic connection arcs provide a medium scale representation of linear features (less than 50 feet wide) that appear to contain flowing water (either intermittently or perennially) and flow into, out of, or between mapped wetland polygons. Hydrologic connections may consist of rivers, streams, ditches, culverts, swales, or other water conveyance features.

Please see MassGIS' metadata for more details.A feature service is also available.

Title: Boston Archdioceses 5 ft Sea Level InundationThese data are for planning, educational, and awareness purposes only and should not be used for site-specific analysis, navigation, or permitting.App and Map Development: “Boston Archdioceses 5 ft Sea Level Inundation”. Scale not given. Version 1.0. CT, USA: GoodLands Inc. 2019.Catholic Data: “USCCB Institution Extraction from Parcel Properties”. Scale not given. Version 1.0. CT, USA: GoodLands Inc. 2017.Sea Level Rise Data:Title:NOAA Office for Coastal Management Sea Level Rise Data: 1-6 ft Sea Level Rise Inundation ExtentShort Name:NOAA_OCM_SLR_1to6ft_metadataStatus:CompletedPublication Date:2016Abstract:These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an onlinemapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping vieweris to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is ascreening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to helpgauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at:https://www.coast.noaa.gov/slrThese data depict the potential inundation of coastal areas resulting from a projected 1 to 6 feet rise in sea level above currentMean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attemptsto account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive thefinal inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM)of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National GeodeticSurvey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods andrepresents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simplya method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.Purpose:The purpose of these data is to show potential sea level rise inundation ranging from 1 to 6 feet above current Mean Higher High Water (MHHW)for the area. Although the water surface mapped represents a particular increase in sea level in feet above MHHW, the actual cell values inthe raster dataset represent depth in meters.Notes:10963Supplemental Information:A detailed methodology for producing these data can be found via the following url:https://coast.noaa.gov/data/digitalcoast/pdf/slr-inundation-methods.pdfSpatial_Reference_Information:Horizontal_Coordinate_System_Definition:Geographic:Latitude_Resolution: 0.0000001Longitude_Resolution: 0.0000001Geographic_Coordinate_Units: Decimal degreesGeodetic_Model:Horizontal_Datum_Name: North American Datum of 1983Ellipsoid_Name: Geodetic Reference System 80Semi-major_Axis: 6378137.000000Denominator_of_Flattening_Ratio: 298.257222101Vertical_Coordinate_System_Definition:Altitude_System_Definition:Altitude_Datum_Name: North American Vertical Datum of 1988Altitude_Resolution: 0.001Altitude_Distance_Units: metersAltitude_Encoding_Method: Explicit elevation coordinate included with horizontal coordinatesKeil Schmid, Brian Hadley, and Kirk Waters (2014) Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models. Journal of Coastal Research: Volume 30, Issue 3: pp. 548 – 561.Documentationhttps://coast.noaa.gov/digitalcoast/tools/slr.htmlBoston Archdioceses High Resolution Boundary, derived from:MassGIS Data: County Boundaries: https://docs.digital.mass.gov/dataset/massgis-data-county-boundariesContributorMassGIS (Bureau of Geographic Information)Modified Date2018-12-05Release Date2018-12-05Identifier2f6f9906-5088-47d7-917a-fee2e4ab1db1Spatial / Geographical Coverage LocationMassachusettsLicenseCreative Commons AttributionAuthorMassGISContact NameMassGISContact Emailmassgismail@mass.govPublic Access LevelPublicData QualityFalseContent TypeDataLanguageEnglish (United States)

View records about wells in Massachusetts, including location, well depth, and condition. Data spans 1962 to present day.