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Demographics
Population
Population Density
Top Road neighborhood in Trenton, New Jersey, experienced population fluctuations from 2010 to 2022. The population increased from 6,165 to 7,396 residents between 2010 and 2014, a 20% growth. After 2014, the population trend became volatile, with gradual declines and intermittent increases. By 2022, the population decreased to 6,345, slightly above the 2010 level.
The population density in 2022 was approximately 18,609 people per square mile, indicating a highly urbanized area. This density suggests a neighborhood with multi-story apartment buildings and closely packed housing units. The estimated 2,431 housing units for the 2022 population, based on the national average household size, supports this urban residential pattern.
The high population density in Top Road implies an urban lifestyle. Residents likely have access to amenities within walking distance, including public transportation, local businesses, and community services. The close proximity of neighbors may foster community interaction, but may also present challenges such as limited personal space and potential noise issues.
Population fluctuations over the years may indicate various factors affecting the neighborhood. These could include changes in local economic conditions, housing market trends, or urban planning policies. The decline from the 2014 peak might suggest residents seeking less densely populated areas, possibly due to changing preferences or external factors like job market shifts or housing affordability issues.
A significant population increase occurred in 2021, followed by a sharp decrease in 2022. This sudden change could relate to short-term factors such as the impact of the COVID-19 pandemic on urban living preferences or temporary housing situations.
Top Road presents a dynamic urban environment with considerable demographic changes over the past decade. Its high population density indicates an area offering typical urban conveniences and challenges. The fluctuating population numbers suggest sensitivity to broader socioeconomic trends affecting urban centers.