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Population Growth and Rural Lifestyle in ZIP Code 21777, Point of Rocks, Maryland
CATEGORY
Demographics
DATA
Population
Population Density
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Demographics
Population
Population Density
The historical population data for the ZIP code 21777 (Point of Rocks, Maryland) reveals a consistent growth trend from 2010 to 2022. The population increased from 359 in 2010 to 569 in 2022, representing a 58.5 percent growth over the 12-year period. The population density also increased from 168.54 people per square mile in 2010 to 267.14 people per square mile in 2022.
Based on the 2022 population density of 267.14 people per square mile, this area falls within the Rural classification. Rural areas are characterized by larger living spaces, typically ranging from 1 to 5 acres per household, and a community-oriented lifestyle centered around local schools and small businesses. The estimated number of housing units corresponding to the 2022 population is approximately 218, assuming the national average household size of 2.61 persons per household.
The consistent population growth and the relatively low population density suggest that the area has been experiencing steady rural development over the past decade. This development pattern is likely characterized by the construction of single-family homes on larger lots, maintaining the rural character of the area while accommodating the growing population.
The lifestyle in this rural area is likely to be focused on outdoor activities, such as hobby farming, horse ownership, and recreational pursuits, given the natural environment and the availability of land. The community is expected to be close-knit, with residents actively participating in local events and supporting small businesses.
In conclusion, the historical population data for ZIP code 21777 indicates a growing rural community with a lifestyle that values open spaces, outdoor activities, and a strong sense of community. The area has experienced consistent population growth while maintaining its rural character, as evidenced by the low population density and the estimated number of housing units.
