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Demographics
Population
Population Density
The Tuscany-Canterbury neighborhood in Baltimore, Maryland, experienced population changes from 2010 to 2022. The area's population and density fluctuated, reflecting urban trends and local factors.
In 2010, Tuscany-Canterbury had 3,722 residents with a density of 24,853.52 people per square mile. By 2022, the population decreased to 2,855, and density dropped to 19,064.16 people per square mile. This represents a 23% decline in both population and density over 12 years.
The population change was not linear. The lowest point was in 2016 with 2,864 residents, followed by an increase until 2019 with 3,277 residents. The population then declined again until 2022.
Tuscany-Canterbury maintains its urban character despite population changes. The area likely features mid-rise and possibly high-rise residential buildings, with living spaces between 500 to 1,000 square feet. This suggests a walkable lifestyle with access to public transportation and local amenities.
Population fluctuations may be due to changes in housing availability, economic conditions, or neighborhood appeal. The 2016-2019 increase might indicate temporary improvements, while the subsequent decline could reflect suburbanization trends or pandemic impacts.
Tuscany-Canterbury's proximity to Johns Hopkins University likely influences its demographics. The neighborhood may attract students, faculty, and professionals associated with the university, potentially explaining some population fluctuations tied to academic cycles or university policies.
Despite overall population decline, the neighborhood maintains a high density, suggesting an urban lifestyle. The estimated 1,094 housing units in 2022 indicate a compact living environment typical of urban areas with mixed household sizes.
In conclusion, Tuscany-Canterbury demonstrates the dynamic nature of urban neighborhoods. Its population changes may reflect broader urban trends, local economic factors, and its position as a university-adjacent community. The consistent high density suggests it remains a urban area with characteristics associated with city living.