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Demographic Analysis of Zip Code with Predominantly White Population
CATEGORY
Demographics
DATA
Population
Median Income
Racial Distributions
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Demographics
Population
Median Income
Racial Distributions
The demographic analysis of the zip code reveals significant limitations in the available data. The population size ranges from 1 to 3 individuals over the years, which is an extremely small sample size. This sample size cannot be considered representative or statistically significant for any meaningful demographic analysis.
The data shows inconsistencies, with many years lacking information on racial demographics and income. This absence of data makes it impossible to accurately track trends over time. The zip code size is reported as 0.04 square miles, which, combined with the low population, suggests an unusually low population density.
The racial data available is limited to the "race_white" category, which is consistently reported as 100% for most years with available data. This lack of diversity information prevents any analysis of demographic shifts or racial composition changes over time.
The income data for the zip code exhibits extreme fluctuations. For example, the median income varies significantly from year to year, such as $44,887 in 2015 to $81,730 in 2016. These large variations are likely due to the very small sample size rather than representing genuine economic trends.
Given these data limitations, it is not appropriate to attempt a detailed analysis or draw conclusions about demographic evolution, diversity, or economic trends for this zip code. The data provided does not represent a community in any meaningful sense and cannot be used to make generalizations or comparisons to broader socio-economic trends.
For a more meaningful demographic and economic analysis, it would be advisable to seek more reliable and comprehensive data sources. This could involve examining a larger geographic area or a more populated zip code to conduct a substantive demographic and economic analysis.
