Loading Content...
Loading Content...
Demographics
Population
Median Income
Racial Distributions
Zip code 50842 in Cromwell, Iowa, exhibits a unique demographic profile. The population has consistently been reported as 1 person from 2010 to 2022. This area is categorized as "Low Diversity" based on the provided library of terms. Racial composition data indicates that this single individual is consistently categorized as white from 2013 to 2022, which is the only period for which racial data is available.
There have been no demographic shifts in this zip code over the past decade. The area has maintained its "Low Diversity" status, with a 100% white population throughout the recorded period. This lack of change is attributed to the extremely small population size.
Despite the static population and racial composition, there have been fluctuations in the median income. The median income increased from $54,117 in 2013 to a peak of $72,616 in 2017, an increase of about 34% over four years. After 2017, there was a slight decline, with the income settling around $70,499 in 2020 and 2022. There was a drop to $63,428 in 2021, before rebounding in 2022.
The demographic stability of this zip code differs from national trends. Most areas in the United States have experienced some level of demographic change over the past decade, often moving towards greater diversity. The economic trends somewhat mirror national patterns. The overall increase in median income from 2013 to 2022 aligns with general economic growth in the U.S. during this period. The peak in 2017 and subsequent slight decline could reflect broader economic cycles. The dip in 2021 followed by a rebound in 2022 is consistent with the economic impact and recovery related to the COVID-19 pandemic observed in many parts of the country.
The extremely small population size (1 person) makes this zip code highly sensitive to individual circumstances, and not representative of broader community trends. The lack of demographic change and the income fluctuations likely reflect the personal situation of a single resident rather than community-wide shifts.
This analysis highlights the unique nature of extremely small communities and the challenges in applying standard demographic categories and trend analyses to such areas. It also underscores the importance of considering population size when interpreting demographic and economic data.