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Demographics
Population
Median Income
Racial Distributions
The zip code 79778 in Rankin, Texas, exhibits a demographic profile characterized by Low Diversity. As of 2022, the population consists of a White Majority (50%) and a significant Hispanic presence (33%). The current median income is $64,301, with an extremely small population of 6 individuals.
Over the past decade, this zip code has maintained a consistent Low Diversity categorization. The white population represented 60% of the total from 2013 to 2018, decreasing slightly to 50% from 2020 onwards. The Hispanic population has shown steady growth, increasing from 20% in 2013-2018 to 40% in 2019, and then stabilizing at 33% from 2020 onwards. Throughout the decade, there is no data available for other racial groups such as Asian, Black, Native American, or Pacific Islander populations.
The median income in this zip code has fluctuated significantly over the years. The highest median income was recorded in 2013 at $68,946. There was a notable decline from 2013 to 2017, reaching a low of $57,550. From 2018 onwards, the income has been volatile, peaking again in 2019 at $72,082 before settling at $64,301 in 2022.
The population has remained remarkably stable, fluctuating between 5 and 7 individuals throughout the decade. This extremely small population size makes it challenging to draw meaningful conclusions about broader demographic trends or economic impacts.
The demographic profile of this zip code is atypical compared to broader Texas trends. While Texas as a whole has been moving towards increased diversity and has a significant Hispanic population (around 40% statewide), this particular area maintains a White Majority with a growing but still minority Hispanic population.
The median income in this zip code ($64,301 in 2022) is slightly lower than the Texas median household income (approximately $67,000 in 2021), but given the small population, this comparison may not be statistically significant.
This zip code shows some signs of incremental movement towards increased diversity, but its extremely small population makes it an outlier in terms of demographic analysis. The economic fluctuations and demographic shifts observed here are likely more influenced by individual household changes rather than broader socio-economic trends, given the minuscule sample size. This case underscores the importance of considering population size when analyzing demographic and economic data, especially in rural or sparsely populated areas.