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Demographic Analysis of Zip Code 44659: A Study of Racial Homogeneity in Mount Eaton, Ohio
CATEGORY
Demographics
DATA
Population
Median Income
Racial Distributions
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Demographics
Population
Median Income
Racial Distributions
Zip code 44659 in Mount Eaton, Ohio, exhibits a demographic profile characterized by low diversity. As of 2022, the area has a 100% white population. The community is small, with 14 residents in 2022, and has experienced fluctuations in median income over the past decade.
Mount Eaton has maintained a low diversity classification from 2013 to 2022. The white population has remained dominant, ranging from 92% to 100% of the total population. This suggests a stable, homogeneous community composition over time.
The area has experienced economic fluctuations despite stable racial demographics. The median income has shown variability, ranging from $53,923 in 2015 to $119,564 in 2021, before settling at $67,819 in 2022. The population has remained small and stable, fluctuating between 11 and 15 residents over the decade. There does not appear to be a strong correlation between population changes and median income fluctuations, likely due to the small sample size.
The demographic stability of Mount Eaton contrasts with national trends towards increasing diversity. The extreme income volatility is unusual and may be attributed to the very small population size, where individual household changes can dramatically affect overall statistics.
The consistently high percentage of white residents places Mount Eaton among the least diverse communities in the country. This lack of diversity is more common in rural, small-town settings, particularly in the Midwest.
The median income, despite its volatility, has generally remained above the national average, particularly in recent years. This suggests that despite its small size and lack of diversity, Mount Eaton has maintained a relatively strong economic position.
Mount Eaton represents a case study of a small, racially homogeneous community that has maintained its demographic character over time while experiencing significant economic fluctuations. The small population size makes it difficult to draw broader conclusions, as individual household changes can have outsized effects on overall statistics. This community's experience highlights the importance of considering scale when analyzing demographic and economic trends in very small localities.
