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Demographics
Population
Median Income
Racial Distributions
The demographic analysis of the specified zip code reveals significant data limitations that hinder comprehensive insights. The population data indicates an extremely small population of 1-2 individuals across all reported years. This unusually low population figure raises questions about the accuracy and representativeness of the data for a typical zip code area.
The racial demographic data is predominantly incomplete, with most categories reported as "no data available." The only consistently reported racial category is "race_white," which shows a value of 1.0 (or 100%) for most years. This lack of diversity in the racial data prevents a meaningful analysis of demographic trends or changes over time.
The zip code's reported size of 0.03 square miles is exceptionally small, further contributing to concerns about the data's accuracy and relevance for broader demographic analysis. This unusually small area, combined with the minimal population reported, suggests that the data may represent a highly specific or potentially erroneous sample.
Income data is available from 2013 onwards, but analyzing economic trends for such a small reported population would not yield statistically significant results. The limited sample size prevents drawing reliable conclusions about income patterns or economic changes within the zip code.
Given these substantial data limitations, it is not possible to conduct a meaningful analysis of demographic evolution, diversity, or economic trends for this zip code. The available data does not provide a sufficient basis for drawing accurate conclusions or identifying patterns typically associated with larger, more diverse populations.
To obtain more meaningful insights, it would be necessary to verify the data source, check for potential errors in data collection or reporting, and consider whether analyzing such a limited sample is relevant for broader demographic or economic understanding. Seeking additional data sources that provide more comprehensive information about the wider area or region may be beneficial for conducting a more robust demographic analysis.