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Demographics
Population
Population Density
The Haystack-Dingle neighborhood in Cumberland, Maryland, exhibits specific demographic patterns from 2010 to 2022. The area had a population density of 1,658.7 people per square mile in 2022, categorizing it as a light suburban neighborhood.
Population data indicates fluctuations over the examined period. From 2010 to 2014, the population decreased from 2,326 to 2,124 residents. In 2015, there was an increase to 2,474 people. The population continued to grow, reaching 2,590 in 2018, before declining to 2,459 by 2022.
These population changes suggest a dynamic neighborhood experiencing both growth and contraction. The relatively stable population density over the years implies that housing development generally aligned with population changes, maintaining the suburban character of the neighborhood.
The lifestyle in Haystack-Dingle likely reflects its light suburban nature. Residents probably reside in a mix of single-family homes and townhouses, with access to local amenities such as parks, schools, and small shopping centers. The population density suggests a community-oriented environment with a degree of privacy.
The neighborhood's proximity to the Appalachian Mountains could influence residents' lifestyle, potentially offering opportunities for outdoor recreation. This geographic feature might contribute to the area's appeal, possibly explaining the population growth observed in the mid-2010s.
The recent slight population decline from 2020 to 2022 could be attributed to various factors, including economic changes, shifts in housing preferences, or impacts from the global pandemic. However, the overall stability of the population over the past decade suggests that Haystack-Dingle remains an attractive residential area within Cumberland.
In conclusion, the Haystack-Dingle neighborhood demonstrates characteristics of a light suburban area with a relatively stable population. Its demographic trends reflect a community that has experienced both growth and modest decline, likely influenced by local economic factors and its natural surroundings.