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Demographic Analysis of Zip Code 56363 in Pease, Minnesota: Racial Composition and Income Trends
CATEGORY
Demographics
DATA
Population
Median Income
Racial Distributions
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Demographics
Population
Median Income
Racial Distributions
Zip code 56363 in Pease, Minnesota, is a community with a population of 8 people as of 2022. This community is categorized as having "Low Diversity," with the white population representing 88-100% of the total population throughout the observed period.
The community has maintained its status as a "Low Diversity" area from 2013 to 2022. The white population has been the Racial Majority, comprising 100% of the population for most years, with a decrease to 88% in 2019 and 2022. Due to the small population size, this change does not necessarily indicate a significant shift in racial composition.
Despite the stable racial composition, there have been changes in median income. From 2013 to 2018, the median income remained in the $57,000-$62,000 range. A significant increase occurred from 2018 to 2019, with median income increasing from $57,221 to $73,982.
This upward trend continued, reaching $80,992 in 2021. As of 2022, the median income decreased to $76,278, but remains higher than pre-2019 levels. The population has remained between 7 and 8 individuals. This stability suggests that income changes are likely due to individual circumstances rather than broader demographic shifts.
The median income in this zip code has grown faster than typical national income growth rates, especially from 2018 to 2021. The lack of racial diversity in this community is atypical compared to national trends. The small population size makes this community an outlier and not representative of broader demographic trends.
In conclusion, zip code 56363 in Pease, Minnesota, has maintained its status as a Low Diversity area with a white Racial Majority, while experiencing significant economic growth in recent years. The community's small size makes it challenging to draw meaningful comparisons to larger demographic patterns or to predict future trends based on this limited data set.
