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Population Density and Housing Analysis of Ohio Etna (Zip Code 43018)
CATEGORY
Demographics
DATA
Population
Population Density
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Demographics
Population
Population Density
Population data for the Ohio Etna zip code 43018 reveals patterns of urban development and demographic characteristics. The area has experienced population fluctuations over the past decade, with a recent decline.
The population density reached its maximum in 2018 at 1,350 people per square mile, indicative of a suburban environment with mixed residential types and relatively dense development. This density suggests resident access to suburban amenities such as local parks, community centers, and small shopping areas.
Since 2020, the population has decreased significantly, with the 2022 population density at 910 people per square mile. This recent change positions the area in a transitional zone between suburban and rural characteristics. The current density indicates a community potentially experiencing changes in its demographic composition or local economic conditions.
The estimated 35 housing units in 2022, distributed over 0.1 square miles, suggest an area primarily composed of single-family homes with moderate lot sizes. This housing pattern supports a lifestyle balancing suburban living aspects with more space and potentially a quieter atmosphere compared to denser urban areas.
The community size indicates a potentially close-knit environment where residents may be familiar with their neighbors and participate in local activities. However, the recent population decline may suggest challenges in resident retention or attraction, potentially impacting community dynamics and available services.
Given the small geographic area and population, residents likely need to travel to nearby larger towns or cities for more extensive shopping, entertainment, or specialized services. The lifestyle in this Census Designated Place (CDP) likely emphasizes local community interactions, possibly centered around schools, local businesses, or community events, while maintaining connections to wider urban areas for additional amenities and employment opportunities.
This analysis is based on limited data and would benefit from additional context about local economic factors, nearby urban centers, and specific community features to provide a more comprehensive understanding of the area's development and lifestyle characteristics.
