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Demographics
Population
Population Density
The historical population data for the ZIP code 19319, which corresponds to Cheyney University in Pennsylvania, reveals a consistent trend of population decline over the past decade. The population peaked in 2011 at 371 residents and has since decreased to 206 residents in 2022, representing a 44.5 percent reduction. Concurrently, the population density has dropped from a high of 1,030.56 people per square mile in 2011 to 572.22 people per square mile in 2022.
Given the ZIP code's size of 0.36 square miles and the 2022 population of 206, the area can be classified as suburban rural. Suburban rural areas typically have population densities between 500 and 1,000 people per square mile and feature clustered housing developments with lot sizes around 1 acre. The estimated 78.93 housing units in the ZIP code, based on the national average household size of 2.61, further support this classification.
The lifestyle in a suburban rural area like ZIP code 19319 likely blends rural openness with suburban amenities. Residents may enjoy quieter neighborhoods close to nature while still having access to some suburban conveniences, such as community centers and parks. The area may be attractive to families seeking a balance between rural and suburban living.
However, the consistent population decline over the past decade suggests that the area may be experiencing challenges in retaining residents or attracting new ones. This trend could be due to various factors, such as limited economic opportunities, changes in the local education system, or shifts in housing preferences. The decreasing population density may also impact the viability of local businesses and services, as well as the overall sense of community in the area.
To better understand the factors driving the population decline and its implications for the local lifestyle and urban development, further investigation into the specific socioeconomic, demographic, and infrastructure changes in the area would be necessary. Nonetheless, the historical population data provides a clear indication of a suburban rural area facing the challenges of a shrinking population.