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Demographics
Population
Population Density
Historical population data for ZIP code 44432 in Lisbon, Ohio, indicates a gradual population decline over the past decade. The population density in 2022 was approximately 113.9 people per square mile, suggesting a rural setting.
This area exhibits characteristics typical of a rural community. The low population density implies residents have substantial personal space and a strong connection to the natural environment. The landscape likely consists of open fields, forests, and scattered residential properties, with homes often situated on larger plots of land.
The lifestyle in this region is likely community-oriented, focusing on local institutions such as schools, small businesses, and potentially agricultural activities. Residents may engage in outdoor recreational pursuits, utilizing the ample open space and natural surroundings.
Despite the overall population decline, the change has been relatively gradual, suggesting a stable community structure. This stability might indicate a population comprised of long-term residents with strong ties to the area, possibly including multi-generational families and established local businesses.
The estimated number of housing units (approximately 4,843 based on the 2022 population) spread across the large area (110.97 square miles) further reinforces the rural character of the region. This distribution suggests a pattern of dispersed housing rather than concentrated developments.
In terms of urban development, the consistent population decline over the years implies limited growth or expansion of built-up areas. New construction or infrastructure projects are likely minimal, with the focus potentially on maintaining existing structures and services rather than significant new developments.
This rural setting may appeal to individuals and families seeking a quieter lifestyle, closer connection to nature, and a strong sense of community. However, it may also face challenges typical of rural areas, such as limited access to certain services or employment opportunities, which could contribute to the observed population decline.
The data indicates a stable, rural community experiencing gradual population loss, maintaining its low-density character and likely preserving much of its natural landscape over time.