Statistic Forest Acres South Carolina National
Population 10,529 5,275,357 336,919,644
Population density (sq mi) 2,291 175 91
Median age 37.4 38.8 37.7
Male/Female ratio 0.9:1 0.9:1 1.0:1
Married (15yrs & older) 58% 56% 55%
Families w/ Kids under 18 44% 40% 43%
Speak English 94% 93% 79%
Speak Spanish 2% 4% 13%
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Overview of Forest Acres Demographics

The population of Forest Acres is 10,529, with a population density of 2,291 people per square mile, diverging from the national average of 91. The median age is 37.4 and 58% of individuals aged 15 or older are married, while 44% have children under 18. As far as income equality in Forest Acres goes, 14% of households have a median income below $25,000, whereas 22% report an income exceeding $150,000. The Forest Acres demographics data can provide indispensable insights into the composition, dynamics and needs of cities, towns or even villages, empowering planners, developers and policymakers to devise strategies that foster prosperity, equity and well-being for all residents.

Forest Acres Racial Demographics & Ethnicity

The Forest Acres racial demographics and ethnicity breakdown could be indispensable tools for recognizing and rectifying systemic inequities, fostering social justice and inclusion and cultivating resilient communities. In Forest Acres, the racial breakdown reveals 75.6% White, 19.4% Black or African American, 2.3% Asian, 0% American Indian and 0% Native Hawaiian, with 1.3% of the population identifying as Hispanic or Latino. Of all households, 94.4% reported speaking English only, while 1.8% reported speaking Spanish only. Moreover, 5.1% of residents were classified as foreign-born.

Forest Acres Population Density

High population density areas are renowned for their extensive array of amenities and services, easily accessible to residents within walking distance or a short commute. From healthcare facilities and educational institutions to cultural venues, dining establishments, retail shops and public transportation options, these communities offer convenience and enrichment to their inhabitants. The Forest Acres population density is 2,291 people per square mile, well above the national average of 91, making it one of the most densely populated cities in the nation.

Why are Demographics Important?

Urban Development: Urban planners could use Forest Acres demographic data to design and create areas that accommodate the needs of residents, including housing, transportation and public services, while promoting sustainability and quality of life. Demographic shifts can contribute to gentrification and neighborhood change in urban or rural areas. As neighborhoods attract new residents with different income levels and lifestyle preferences, property values may rise, leading to displacement of long-time residents and changes in the character and identity of the neighborhood. Understanding population density, age distribution, household size and income levels helps inform decisions related to zoning, transportation infrastructure, housing development and public amenities. Lastly, using Forest Acres demographics for planning and development of affordable housing can help prevent displacement.

Healthcare Planning: The analysis of Forest Acres demographics can offer insights into healthcare planning and delivery, identifying population health needs, disparities and risk factors. By understanding demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs and address health inequities within communities. Through the use of demographic data and statistics, healthcare providers and policymakers aim to achieve equitable, accessible and high-quality healthcare for all individuals and communities. This proactive approach to healthcare planning ensures targeted interventions, efficient resource allocation and customized healthcare services to meet the diverse needs of populations.

Policy Planning: Demographic data and statistics play a fundamental role in informing policy and decision-making processes across government entities, organizations and businesses. Through the analysis and interpretation of Forest Acres demographic data, policymakers, government officials, and organizational leaders can pinpoint areas of concern, allocate resources efficiently, and devise policies and initiatives tailored to the specific needs and preferences of distinct demographic groups. The utilization of demographics in Forest Acres can be crucial in policy planning, facilitating evidence-based decision-making, identifying key priorities, forecasting future trends, monitoring policy outcomes and advancing principles of equity and inclusion. By harnessing this data effectively, policymakers can develop policies that are targeted, effective and inclusive, thus meeting the diverse needs of communities.

Demographics Quick Facts

  • The population density in Forest Acres is 1206% higher than South Carolina
  • The median age in Forest Acres is 4% lower than South Carolina
  • In Forest Acres 75.64% of the population is White
  • In Forest Acres 19.43% of the population is Black
  • In Forest Acres 2.30% of the population is Asian

Compare Forest Acres, SC Demographics

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      Forest Acres racial demographics

      Race Forest Acres South Carolina National
      White 75.64% 67.27% 73.35%
      Black 19.43% 27.35% 12.63%
      Asian 2.30% 1.42% 5.22%
      American Indian 0.00% 0.32% 0.82%
      Native Hawaiian 0.00% 0.06% 0.18%
      Mixed race 1.92% 2.07% 3.06%
      Other race 0.71% 1.51% 4.75%
      In Forest Acres, 1.3% of people are of Hispanic or Latino origin.
      Please note: Hispanics may be of any race, so also are included in any/all of the applicable race categories above.

      Household income distribution

      Place of birth by citizenship

      Forest Acres age breakdown

      Marital status

      Age of children in married couples

      Source: The Forest Acres, SC demographics data displayed above is derived from the United States Census Bureau American Community Survey (ACS) and include 2026 modeled data developed using proprietary methodologies.