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Demographics
Population
Median Income
Racial Distributions
The demographic analysis of the specified zip code is severely constrained by data limitations. The population of the area is extremely low, ranging from 1 to 2 individuals throughout the period from 2010 to 2022. This minimal sample size precludes the formation of meaningful conclusions regarding demographic trends or diversity.
The racial data available for this zip code is highly limited. The majority of racial categories are listed as "no data available," with the exception of the "race_white" category. This category indicates that 1 person (or 0.5 in later years) identified as white. The lack of comprehensive racial data prevents any substantive analysis of racial diversity or demographic shifts within the area.
The income data for the zip code exhibits significant inconsistencies. While median income figures are provided for most years from 2013 onwards, the extreme fluctuations observed (such as an increase from $59,752 in 2019 to $81,119 in 2020) are likely artifacts of the extremely small population rather than indicative of broader economic trends.
The geographic characteristics of the zip code are unusual, with a reported size of only 0.09 square miles and an estimated less than one housing unit. This suggests an extremely small or potentially specialized area that may not be representative of typical residential demographics.
Given these significant data limitations, it is not possible to categorize this area using standard demographic terms or to draw conclusions about demographic evolution, diversity, or economic trends. The dataset is too small and incomplete to support such an analysis.
For a more meaningful demographic and economic trend analysis, it would be advisable to examine data for a larger geographic area, such as the encompassing county or nearest metropolitan area. Alternatively, if this specific small area is of particular interest, a qualitative case study approach focusing on the unique characteristics of this location might be more appropriate than a quantitative demographic analysis.