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Demographic Analysis of Zip Code 51452: Racial Homogeneity in Lidderdale, Iowa
CATEGORY
Demographics
DATA
Population
Median Income
Racial Distributions
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Demographics
Population
Median Income
Racial Distributions
Zip code 51452, encompassing Lidderdale in Iowa, presents a case study in demographic analysis. As of 2022, this area is categorized as having "Low Diversity," with the racial composition data showing 100% white population consistently from 2013 to 2022. The current median income stands at $79,084, with a population of 3 individuals.
Throughout the period from 2013 to 2022, Lidderdale has maintained a "Low Diversity" classification, with the white population consistently representing 100% of the total. This lack of racial diversity change over a decade is attributed to the extremely small population size, which limits the potential for demographic shifts.
Despite the stable racial composition, there have been fluctuations in median income. From 2013 to 2019, there was a general upward trend in median income, rising from $68,263 to $80,248. A slight dip occurred in 2020 to $79,084. There was an increase in 2021 to $83,691, followed by a return to the 2020 level in 2022. These income fluctuations do not correlate with racial demographic changes, given the static racial composition.
Population figures have remained stable, oscillating between 3 and 4 individuals throughout the decade. This stability in such a small population further explains the lack of racial demographic shifts.
The situation in Lidderdale is unusual compared to national trends. With only 3-4 residents, this zip code represents an outlier in terms of population size. A 100% white population over a decade is uncommon, even in small towns. Despite the small population, the median income is relatively high and has generally increased over time.
Zip code 51452 presents a case of demographic stability in terms of racial composition, coupled with a generally upward-trending economic situation. The small population size makes this area an outlier in demographic studies, limiting the applicability of typical diversity categorizations and trend analyses. This situation underscores the importance of considering population size when interpreting demographic and economic data, especially in rural or sparsely populated areas.
