13 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. w

    Top cities by company's employees in New Boston

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Top cities by company's employees in New Boston [Dataset]. https://www.workwithdata.com/charts/companies?agg=sum&chart=hbar&f=1&fcol0=city&fop0=%3D&fval0=New+Boston&x=city&y=employees
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This horizontal bar chart displays employees (people) by city using the aggregation sum in New Boston. The data is about companies.

  3. WeWork locations in the U.S. by city 2023

    • statista.com
    Updated May 25, 2019
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    Statista (2019). WeWork locations in the U.S. by city 2023 [Dataset]. https://www.statista.com/statistics/949984/wework-locations-city-united-states/
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    Dataset updated
    May 25, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, New York was the city in the United States with the most WeWork locations. New York had almost ** more locations than Boston, which was the city second in the list.

  4. w

    Top cities by company's governance score (ESG) in New Boston

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Top cities by company's governance score (ESG) in New Boston [Dataset]. https://www.workwithdata.com/charts/companies?agg=avg&chart=hbar&f=1&fcol0=city&fop0=%3D&fval0=New+Boston&x=city&y=wwd_governance_score
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This horizontal bar chart displays governance score (ESG) (/ 100) by city using the aggregation average in New Boston. The data is about companies.

  5. Largest megacities worldwide 2023, by land area

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Largest megacities worldwide 2023, by land area [Dataset]. https://www.statista.com/statistics/912442/land-area-of-megacities-worldwide/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, New York led the ranking of the largest built-up urban areas worldwide, with a land area of ****** square kilometers. Boston-Providence and Tokyo-Yokohama were the second and third largest megacities globally that year.

  6. A

    Big Belly Locations

    • data.boston.gov
    • healthdata.gov
    csv
    Updated May 18, 2019
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    Public Works Department (2019). Big Belly Locations [Dataset]. https://data.boston.gov/dataset/big-belly-locations
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    csvAvailable download formats
    Dataset updated
    May 18, 2019
    Dataset authored and provided by
    Public Works Department
    License

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

    Description

    Big Belly trash receptacles are solar powered, internet connected, compacting trash receptacles that can collect up to five times as much waste as traditional bins and help the city more efficiently manage the waste collection process. This data set contains descriptions and geographic coordinates for all of the Big Belly receptacles located within the City.

  7. m

    Massachusetts Population by Race/Ethnicity

    • mass.gov
    Updated Feb 9, 2018
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    Department of Public Health (2018). Massachusetts Population by Race/Ethnicity [Dataset]. https://www.mass.gov/info-details/massachusetts-population-by-raceethnicity
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    Dataset updated
    Feb 9, 2018
    Dataset provided by
    Department of Public Health
    Population Health Information Tool
    Area covered
    Massachusetts
    Description

    How racially diverse are residents in Massachusetts? This topic shows the demographic breakdown of residents by race/ethnicity and the increases in the Non-white population since 2010.

  8. A

    Boston Buildings Inventory

    • data.boston.gov
    csv, pdf, xlsx
    Updated May 5, 2020
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    Environment Department (2020). Boston Buildings Inventory [Dataset]. https://data.boston.gov/dataset/boston-buildings-inventory
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    csv(15969), pdf(4952544), csv(17176), xlsx(90559), csv(47663162), csv(2868)Available download formats
    Dataset updated
    May 5, 2020
    Dataset authored and provided by
    Environment Department
    License

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

    Area covered
    Boston
    Description

    This dataset pulls from many different data sources to identify individual building characteristics of all buildings in Boston. It also identifies high-potential retrofit options to reduce carbon emissions in multifamily buildings, using the best available data and assumptions from building experts.

    Building characteristics will require on-site verification before an owner can act on them.

    Find out more about carbon targets for Boston's existing large buildings.

  9. A

    Climate Ready Boston Social Vulnerability

    • data.boston.gov
    • cloudcity.ogopendata.com
    • +3more
    Updated Sep 21, 2017
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    Boston Maps (2017). Climate Ready Boston Social Vulnerability [Dataset]. https://data.boston.gov/dataset/climate-ready-boston-social-vulnerability
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    zip, html, geojson, arcgis geoservices rest api, csv, kmlAvailable download formats
    Dataset updated
    Sep 21, 2017
    Dataset provided by
    BostonMaps
    Authors
    Boston Maps
    License

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

    Area covered
    Boston
    Description
    Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses.

    Source:

    The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.

    Population Definitions:

    Older Adults:
    Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.
    Attribute label: OlderAdult

    Children:
    Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.
    Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.
    Attribute label: TotChild

    People of Color:
    People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups as
    well. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.
    Attribute label: POC2

    Limited English Proficiency:
    Without adequate English skills, residents can miss crucial information on how to prepare
    for hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more socially
    isolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.
    Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.
    Attribute label: LEP

    Low to no Income:
    A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.
    Attribute label: Low_to_No

    People with Disabilities:
    People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty.
    Attribute label: TotDis

    Medical Illness:
    Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.
    Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.
    Attribute label: MedIllnes

    Other attribute definitions:
    GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census Tract
    AREA_SQFT: Tract area (in square feet)
    AREA_ACRES: Tract area (in acres)
    POP100_RE: Tract population count
    HU100_RE: Tract housing unit count
    Name: Boston Neighborhood
  10. m

    Boston, MA: 2025 H-1B Report by Work City

    • myvisajobs.com
    Updated Jan 16, 2025
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    MyVisaJobs (2025). Boston, MA: 2025 H-1B Report by Work City [Dataset]. https://www.myvisajobs.com/reports/h1b/work-city/boston-ma/
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    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Area covered
    Massachusetts, Boston
    Variables measured
    Number of LCA, Average Salary, H1B Visa Sponsor
    Description

    H-1B visa sponsorship trends for Boston, MA, covering top employers, salary insights, approval rates, and geographic distribution. Explore how work city impacts the U.S. job market under the H-1B program.

  11. Cities with the most splash pads/spraygrounds per 100,000 residents in the...

    • statista.com
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    Statista, Cities with the most splash pads/spraygrounds per 100,000 residents in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1037633/number-of-splash-pads-or-spraygrounds-per-100-000-residents-by-city-in-the-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Splash pads, also known as spray grounds, are water play areas with interactive water features or fountains for play. They usually have water spraying upward and involve no standing water. In 2024, Boston, Massachusetts, had the largest number with 15.1 splash pads in the United States per 100,000 residents.

  12. Most popular cities among Gen Z in the U.S. 2021

    • statista.com
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    Statista, Most popular cities among Gen Z in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/1200740/most-popular-gen-z-cities-usa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    Washington, D.C. had the highest net migration for 18 to 24-year-olds in 2021, making it the most attractive city among the generation Z population. The number of Zoomers who moved in less the number of Zoomers who moved out of Washington stood at ******. Columbia, SC, and Boston, MA, were the two other cities where this figure where the net migration exceeded 10,000.

  13. a

    Best Airbnb Markets in Massachusetts, The United States

    • airbtics.com
    Updated Oct 4, 2025
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    Airbtics (2025). Best Airbnb Markets in Massachusetts, The United States [Dataset]. https://airbtics.com/best-airbnb-markets-massachusetts
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    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Airbtics
    Time period covered
    Sep 2024 - Aug 2025
    Area covered
    United States, Massachusetts
    Variables measured
    yield, annualRevenue, occupancyRate, averageDailyRate, numberOfListings, regulationStatus
    Description

    The top 6 Airbnb markets in 2025 are: 1. Boston - Strict regulations, 2,689 listings, 72% occupancy rate, $216 daily rate. See other 5 places.

  14. Not seeing a result you expected?
    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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