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Population Dynamics and Density Analysis of Teal Club Neighborhood, Oxnard, California: 2010-2022
CATEGORY
Demographics
DATA
Population
Population Density
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Demographics
Population
Population Density
The Teal Club neighborhood in Oxnard, California experienced population fluctuations from 2010 to 2022. The population increased and decreased during this period, ultimately returning to 2010 levels by 2022.
In 2019, the neighborhood reached its peak population of 1,380 residents, a 20.5% increase from 2010. However, by 2022, the population decreased to 1,145, matching the 2010 figure. This pattern suggests a cyclical trend in the neighborhood's demographics.
Teal Club maintained a high population density throughout the observed period, consistently above 3,900 people per square mile. The 2022 density was 3,972.32 people per square mile, indicating a suburban character with a compact living environment.
Based on the national average household size, Teal Club had an estimated 439 housing units in 2022. This suggests a mix of housing types within a limited area, potentially including detached homes, townhouses, and low-rise apartment buildings.
The neighborhood's density and housing composition indicate a lifestyle balancing suburban comfort with urban convenience. Residents likely have access to local amenities within close proximity.
Oxnard's coastal location in Southern California may influence the neighborhood's appeal. Proximity to beaches and marine activities could be a factor in the area's population dynamics.
The population decline from the 2019 peak may indicate changing preferences or external factors affecting the neighborhood's attractiveness. This could include shifts in local employment opportunities, housing affordability issues, or broader demographic trends.
Teal Club presents a dense suburban neighborhood with a dynamic population trend. Its high density suggests a stable urban fabric, while fluctuating population numbers indicate responsiveness to broader socio-economic factors. Future demographic patterns will likely reflect both local community characteristics and wider regional trends.
