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Population Density and Demographic Trends in Park Pointe, Greenacres, Florida: 2010-2022
CATEGORY
Demographics
DATA
Population
Population Density
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Demographics
Population
Population Density
Park Pointe neighborhood in Greenacres, Florida, experienced population fluctuations from 2010 to 2022. The population increased from 1,862 in 2010 to 2,606 in 2019, reaching a peak density of 30,437.55 people per square mile. This indicates a highly urbanized environment.
A decline in population occurred from 2020, with numbers dropping to 2,321 and further to 2,067 in 2021. This decrease could be attributed to various factors, including the global COVID-19 pandemic.
As of 2022, the population slightly rebounded to 2,092 residents, with a density of 24,434.13 people per square mile. This extremely high density suggests Park Pointe is a hyper-urban neighborhood. The estimated 801.5 housing units for the 2022 population, based on the national average household size of 2.61 persons, supports the notion of a densely populated area with predominantly multi-family housing structures.
The lifestyle in Park Pointe is likely characterized by fast-paced living and convenience orientation. Residents likely have access to extensive public transportation, diverse amenities, and cultural and entertainment options within close proximity. The high population density implies heavy utilization of public spaces and services, and an emphasis on efficient use of space in residential and commercial areas.
Despite recent population decline, Park Pointe maintains a significantly higher population density than many urban areas. This suggests it remains an attractive location for those seeking a highly urbanized living environment. The neighborhood's ability to sustain high density over time indicates robust infrastructure capable of supporting a large number of residents in a relatively small area.
This analysis provides insights into demographic trends and likely lifestyle characteristics of Park Pointe, based on population density and recent population changes. Additional data on local amenities, economic factors, and community features would be beneficial for a more comprehensive understanding of the neighborhood's specific attributes and quality of life.
