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Demographic Analysis of ZIP Code 11935 in Cutchogue, New York
CATEGORY
Demographics
DATA
Population
Population Density
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Demographics
Population
Population Density
ZIP code 11935, corresponding to Cutchogue in New York, has experienced fluctuations in population and population density from 2010 to 2022. The population ranged from a high of 3,897 in 2011 to a low of 3,349 in 2022, with the population density varying from 328.58 people per square mile in 2011 to 282.38 people per square mile in 2022.
Given the ZIP code's size of 11.86 square miles and the 2022 population of 3,349, the area can be classified as rural, with a population density between 50 to 500 people per square mile. This suggests the area likely features larger living spaces, ranging from 1 to 5 acres, with fewer public services and lower infrastructure density compared to more urbanized areas.
The lifestyle in this rural setting is likely community-oriented, often centered around local schools and small businesses. Residents may engage in activities such as hobby farming, horse ownership, and significant outdoor activities, taking advantage of the natural environment and available space.
The estimated number of housing units corresponding to the 2022 population is approximately 1,283, based on the national average household size of 2.61 people per household. This relatively low number of housing units spread across 11.86 square miles further supports the rural nature of the area, with larger lot sizes and a more dispersed population.
While the population and population density have decreased in recent years, particularly from 2021 to 2022, the overall classification of the area as rural has remained consistent throughout the period analyzed. This suggests that the area has maintained its rural character and lifestyle, despite the fluctuations in population.
In conclusion, ZIP code 11935 in Cutchogue, New York, can be characterized as a rural area with a community-oriented lifestyle, larger living spaces, and a focus on outdoor activities and local businesses. The population and housing unit data support this classification and provide insight into the demographic trends and living conditions in the area.
