5 datasets found
  1. a

    Boston Population Density

    • boston-harbor-resources-bsumaps.hub.arcgis.com
    Updated Apr 29, 2021
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    Ball State University ArcGIS Online (2021). Boston Population Density [Dataset]. https://boston-harbor-resources-bsumaps.hub.arcgis.com/maps/c41b6b075d5d4a87a1788bc21f30d38a
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    Dataset updated
    Apr 29, 2021
    Dataset authored and provided by
    Ball State University ArcGIS Online
    Area covered
    Description

    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

  2. A

    Neighborhood Demographics

    • data.boston.gov
    pdf, xlsx
    Updated Dec 1, 2025
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    Planning Department (2025). Neighborhood Demographics [Dataset]. https://data.boston.gov/dataset/neighborhood-demographics
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    xlsx(15582925), pdf(476137), pdf(508811), xlsx(156459), xlsx(158232)Available download formats
    Dataset updated
    Dec 1, 2025
    Dataset authored and provided by
    Planning Department
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Please note this page provides neighborhood demographic data using 2010 Census tracts. For updated Neighborhood Demographics using 2020 Census tracts consistently across historical years, please refer to the Planning Department Research Division's Exploring Neighborhood Change Tool. The tool visualizes demographic, economic, and housing data for Boston's tracts and neighborhoods from 1950 to 2025 (with projections to 2035) using the most up-to-date 2020 Census tract-based Neighborhood boundaries.

    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.

  3. e

    Carbon and Nitrogen Across Two ULTRA-Ex Urban to Rural Gradients in...

    • portal.edirepository.org
    • search.dataone.org
    csv
    Updated Dec 7, 2023
    + more versions
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    Lucy Hutyra; Steve Raciti (2023). Carbon and Nitrogen Across Two ULTRA-Ex Urban to Rural Gradients in Massachusetts 2010 [Dataset]. http://doi.org/10.6073/pasta/56282aba52a563a152ada109f8de091c
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    csv(10316 byte)Available download formats
    Dataset updated
    Dec 7, 2023
    Dataset provided by
    EDI
    Authors
    Lucy Hutyra; Steve Raciti
    License

    https://spdx.org/licenses/CC0-1.0https://spdx.org/licenses/CC0-1.0

    Time period covered
    2010
    Area covered
    Variables measured
    bd, c.n, date, site, town, c.per, n.per, c.meas, n.meas, lu.class, and 2 more
    Description

    As part of the Boston University-led, Urban Long-Term Research Area - Exploratory Award (ULTRA-Ex), we established 135 circular, 15 m radius biometric plots extending across two Boston urban-to-rural gradients (Boston MA to Petersham MA and Boston MA to Worcester MA). The plots were stratified based on neighborhood (1 km2 surrounding area) characteristics for population density, impervious surface area fraction, and land cover. Within each plot we measured aboveground live and dead biomass, species characteristics, ground cover characteristics, and soil properties.

  4. Data from: Modelling population density over time: how spatial distance...

    • tandf.figshare.com
    pdf
    Updated Jun 1, 2023
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    Ilenia Epifani; Rosella Nicolini (2023). Modelling population density over time: how spatial distance matters [Dataset]. http://doi.org/10.6084/m9.figshare.3692187.v1
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Ilenia Epifani; Rosella Nicolini
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Modelling population density over time: how spatial distance matters. Regional Studies. This study provides an empirical application of the Bayesian approach for modelling the evolution of population density distribution across time. It focuses on the case of Massachusetts by tracking changes in the importance of spatial distance from Boston concerning citizens’ choices of residence according to data for 1880–90 and 1930–2010. By adopting a Bayesian strategy, results show that Boston reinforced its attractiveness until the 1960s, when the city's accessibility no longer represented the unique determinant of population density distribution. Referring to selected historical evidence, a few possible interpretations are presented to endorse these results.

  5. Data from: Atmospheric nitrogen inputs, soil nitrogen cycling, and soil...

    • search.datacite.org
    • dataverse.harvard.edu
    • +1more
    Updated 2018
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    Stephen Decina; Pamela Templer; Lucy Hutyra; C Gately; Preeti Rao; J Getson; A Reinmann; A Short Gianotti (2018). Atmospheric nitrogen inputs, soil nitrogen cycling, and soil respiration across the greater Boston area [Dataset]. http://doi.org/10.7910/dvn/1pugsr
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    Dataset updated
    2018
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Harvard Dataverse
    Authors
    Stephen Decina; Pamela Templer; Lucy Hutyra; C Gately; Preeti Rao; J Getson; A Reinmann; A Short Gianotti
    Description

    This dataverse repository contains data from May to November of 2014 at fifteen locations across Metropolitan Boston for (1) throughfall nitrogen, (2) fossil fuel carbon dioxide emissions, (3) human population density, (4) land cover class, (5) ISA, (6) soil solution nitrogen and soil nitrogen cycling rates (mineralization and nitrification) and (7) soil respiration. Details of the methodology are provided in the following publications. Decina SM, PH Templer, LR Hutyra, CK Gately, P Rao. 2017. Variability, drivers, and effects of atmospheric nitrogen inputs across an urban area: emerging patterns among human activities, the atmosphere and soils. Science of the Total Environment 609:1524-1534. https://doi.org/10.1016/j.scitotenv.2017.07.166 Decina S, LR Hutyra, CK Gately, JM Getson, AB Reinmann, AG Short Gianotti, and PH Templer. 2016. Soil respiration contributes significantly to urban carbon fluxes. Environmental Pollution 212:433-439. https://doi.org/10.1016/j.envpol.2016.01.012

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    Learn how you can add new datasets to our index.

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Ball State University ArcGIS Online (2021). Boston Population Density [Dataset]. https://boston-harbor-resources-bsumaps.hub.arcgis.com/maps/c41b6b075d5d4a87a1788bc21f30d38a

Boston Population Density

Explore at:
14 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 29, 2021
Dataset authored and provided by
Ball State University ArcGIS Online
Area covered
Description

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

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