This site pulls the historical maps that are applicable to the area or region you’ve focused on and works with Google Maps to overlay them as accurately as possible. See instructions.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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The boundaries of locally designated historic districts in Boston that require design review for exterior alterations to buildings.
The Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mima_bedrock_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mima_bedrock_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (mima_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mima_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mima_bedrock_geology_metadata_faq.pdf). Please read the mima_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Boston College and U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mima_bedrock_geology_metadata.txt or mima_bedrock_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 25.4 meters or 83.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).
This public map service contains points and polygons representing information from the Massachusetts Cultural Resource Information System (MACRIS) database and related records on file at the Massachusetts Historical Commission (MHC), including the Inventory of Historic Assets of the Commonwealth, National Register of Historic Places nomination forms, local historic district study reports, local landmark reports, and other materials. The MACRIS database and the layers within the MACRIS Maps web application are updated regularly as new information is submitted and added, and as the accuracy of earlier versions of the datalayer is improved. Three datalayers are being made available to the public: The Inventory Points layer contains the locations of buildings, burial grounds, structures, and objects (e.g. statues, monuments, walls). The points layer is symbolized to indicate the most common historic designation types: 1) National Register of Historic Places, 2) local historic district, 3) both National Register and local historic district, 4) Preservation Restriction, 5) Massachusetts Historic Landmark (MA/HL) and 6) inventoried but not designated with one of the previous designations. Less common designations are not symbolized in MACRIS, but are included in the Designations attribute field.The Inventory Areas polygon layer includes areas and districts symbolized in MACRIS in a similar manner to Inventory Points. Another polygon layer, Towns, possesses a binary “y” or blank field to indicate whether a town has a survey pending digitization. Please note that new and updated information is added to MHC files daily, and that there may be considerable lag time before this information is reflected in MACRIS or in MACRIS Maps. Map information for “completed” towns may not reflect the most current information on file with MHC. For additional information, users may consult the source records, forms and maps that make up the official Inventory of Historic and Archaeological Assets of the Commonwealth, on file at the MHC, Massachusetts Archives Building, 220 Morrissey Boulevard, Boston, during weekday business hours. No appointment is needed. For directions, see https://www.sec.state.ma.us/mhc/.See the metadata for more details.
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Explore the historical Whois records related to boston-ma.com (Domain). Get insights into ownership history and changes over time.
This dataset includes shorelines from 28 years ranging from 1847 to 2000 in the Greater Boston coastal region from the southern side of Cape Ann, Massachusetts to Sandy Neck Beach in Sandwich, Massachusetts. Shorelines were compiled from T-sheets (National Oceanic and Atmospheric Administration), T-sheets and air photos (Massachusetts Coastal Zone Management, National Oceanic and Atmospheric Administration), and lidar (USGS). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) National Assessment Project. Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.1. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner..
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License information was derived automatically
Boston-Cambridge-Quincy, MA-NH - All Employees: Government in Boston-Cambridge-Nashua, MA-NH (NECTA) was 307.60000 Thous. of Persons in February of 2022, according to the United States Federal Reserve. Historically, Boston-Cambridge-Quincy, MA-NH - All Employees: Government in Boston-Cambridge-Nashua, MA-NH (NECTA) reached a record high of 321.80000 in November of 2014 and a record low of 260.60000 in August of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for Boston-Cambridge-Quincy, MA-NH - All Employees: Government in Boston-Cambridge-Nashua, MA-NH (NECTA) - last updated from the United States Federal Reserve on March of 2025.
This collection of images depict Boston, Massachusetts, with particular emphasis on Dorchester Avenue. Some of the images contain photographs of the area, while others detail Dorchester Avenue's history using a timeline. The images are associated with chapters 1 through 4 of the PLAN South Boston Dorchester Avenue report, which contains the history, current conditions, outreach initiatives, goals, and objectives of a proposed plan to create a new mixed-use urban district in Boston, Massachusetts.These images are intended for use in the Storify a planning report tutorial, which details the process of creating a story in ArcGIS StoryMaps for the plan. The story includes maps and a scene that showcase the proposed district. The plan itself was created by the Boston Planning & Development Agency (BPDA).
These data were automated to provide an accurate high-resolution historical shoreline of Boston Bay to Cape Cod Bay, MA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808
This dataset provides information about the number of properties, residents, and average property values for Old Colony Avenue cross streets in South Boston, MA.
https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval
Graph and download economic data for S&P CoreLogic Case-Shiller MA-Boston Home Price Index (BOXRSA) from Jan 1987 to Dec 2024 about Boston, NH, MA, HPI, housing, price index, indexes, price, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Boston: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.
Income brackets:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Boston median household income by age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Boston, MA population pyramid, which represents the Boston population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Boston Population by Age. You can refer the same here
These data represent the presumed tidelands jurisdiction of MassDEP under M.G.L. c. 91 and the Waterways Regulations in 310 CMR 9.00.
With the exception of present-day marsh areas, a continuous line of approximate c. 91 jurisdiction can be obtained by using a combination of the “Jurisdiction,” “Contemporary High Water,” “Inferred Contemporary High Water,” “Inferred Historic High Water,” and “Landlocked Tidelands” datalayers. The “Historic High Water” and “Landlocked Tidelands” lines form the approximate landward and seaward boundaries of landlocked tidelands, which are not regulated by DEP.Please see the metadata page for this layer at the MassGIS website for more information.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Boston, MA population pyramid, which represents the Boston population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Boston Population by Age. You can refer the same here
This dataset provides information about the number of properties, residents, and average property values for Old Boston Road cross streets in Groton, MA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Boston-Cambridge-Quincy, MA-NH - All Employees: Local Government in Boston-Cambridge-Nashua, MA-NH (NECTA) was 190.20000 Thous. of Persons in January of 2021, according to the United States Federal Reserve. Historically, Boston-Cambridge-Quincy, MA-NH - All Employees: Local Government in Boston-Cambridge-Nashua, MA-NH (NECTA) reached a record high of 197.80000 in January of 2019 and a record low of 152.10000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for Boston-Cambridge-Quincy, MA-NH - All Employees: Local Government in Boston-Cambridge-Nashua, MA-NH (NECTA) - last updated from the United States Federal Reserve on March of 2025.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
Demographic Data for Boston’s Neighborhoods, 1950-2019
Boston is a city defined by the unique character of its many neighborhoods. The historical tables created by the BPDA Research Division from U.S. Census Decennial data describe demographic changes in Boston’s neighborhoods from 1950 through 2010 using consistent tract-based geographies. For more analysis of these data, please see Historical Trends in Boston's Neighborhoods. The most recent available neighborhood demographic data come from the 5-year American Community Survey (ACS). The ACS tables also present demographic data for Census-tract approximations of Boston’s neighborhoods. For pdf versions of the data presented here plus earlier versions of the analysis, please see Boston in Context.
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.
USGS Historical Quadrangle in GeoPDF.
This site pulls the historical maps that are applicable to the area or region you’ve focused on and works with Google Maps to overlay them as accurately as possible. See instructions.