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Demographic Trends in La Morada, Stockton: Population Density and Housing Analysis (2010-2022)
CATEGORY
Demographics
DATA
Population
Population Density
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Demographics
Population
Population Density
The La Morada neighborhood in Stockton, California, exhibited a population density of 6,173 people per square mile in 2022, indicative of a light urban environment. This density suggests a mix of low to mid-rise apartments and townhomes, with developed infrastructure including public transportation and community services.
Population data from 2010 to 2022 shows significant fluctuations. From 2010 to 2019, the population increased from 13,428 to 18,674 residents. This growth period likely involved increased development and possible gentrification, potentially attracting younger professionals or families.
A sharp decline occurred from 2019 to 2020, with the population decreasing from 18,674 to 15,941 residents. This decrease may be attributed to the COVID-19 pandemic, possibly resulting in outmigration due to density concerns or economic factors.
Since 2020, the population has remained relatively stable with minor fluctuations. As of 2022, the population was 15,903, higher than the 2010 figure but lower than the 2019 peak.
La Morada likely offers urban amenities with suburban comfort. Residents probably have access to local shopping, dining, and cultural venues within walking distance or a short commute. The neighborhood may appeal to diverse demographics, including young professionals, small families, and potentially students if educational institutions are nearby.
The estimated 6,093 housing units for the 2022 population, based on the national average household size, suggests a mix of housing types. This could include single-occupancy apartments, family-sized units, and possibly shared living spaces.
La Morada, like many urban neighborhoods, has likely faced challenges in balancing development with community character preservation, given the significant population changes. The area may be experiencing ongoing transitions in demographic makeup and local economy, potentially influencing housing demands and community services.
