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Demographics
Population
Median Income
Racial Distributions
The demographic analysis of the specified zip code reveals an unusual population pattern. The data indicates a consistently low population of 1-2 individuals throughout the observed years. This extremely small population size significantly limits the reliability and generalizability of any demographic analysis.
The racial composition data for this zip code is largely incomplete. The only available racial category is "white," which consistently shows a value of 1.0, suggesting that 100% of the population identifies as white. This lack of diversity in the racial data further constrains the ability to analyze demographic trends or shifts.
Income data for this zip code is available from 2013 onwards. However, given the extremely small population size of 1-2 individuals, any income trend analysis lacks statistical significance. The fluctuations in income levels observed over the years cannot be reliably interpreted as indicative of broader economic trends.
The housing data for this zip code presents an unrealistic scenario. The estimated number of housing units is reported as 0.38 for a population of 1 person, which is not logically feasible.
Given the severe limitations in the dataset, it is not possible to conduct a meaningful analysis of demographic evolution, racial composition changes, or economic correlations. The data presented either contains errors or represents an highly atypical situation that does not align with standard zip code demographics.
If the data is accurate, it may represent an extremely small, rural area or an administrative anomaly. The only conclusion that can be drawn with any certainty is that this zip code area has been consistently inhabited by 1-2 white individuals over the past decade, with varying income levels. However, no broader trends or comparisons can be reliably inferred from this limited dataset.
For a more comprehensive and meaningful demographic analysis, a larger population sample and more complete demographic information would be necessary. The current dataset's limitations preclude any substantive insights into typical demographic patterns or trends.