Statistic Gaston South Carolina National
Population 2,138 5,275,357 336,919,644
Population density (sq mi) 402 175 91
Median age 32.4 38.8 37.7
Male/Female ratio 1.0:1 0.9:1 1.0:1
Married (15yrs & older) 53% 56% 55%
Families w/ Kids under 18 47% 40% 43%
Speak English 90% 93% 79%
Speak Spanish 8% 4% 13%
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Overview of Gaston Demographics

Gaston demographics provide invaluable insights into the composition, dynamics and needs of urban and rural areas, enabling them to plan, develop, and govern in ways that promote prosperity, equity and well-being for all residents. The Gaston population is 2,138 and has a population density of 402 people per square mile, compared to the national average of 91. The median age of all residents is 32.4, 53% of people 15 years of age or older are married and 47% have kids under the age of 18. In Gaston, 35% of households have a median income that is below $25,000 and 8% of households report a median income above $150,000.

Gaston Racial Demographics & Ethnicity

The Gaston 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 Gaston, the racial breakdown reveals 77.9% White, 12.9% Black or African American, 2.8% Asian, 0% American Indian and 0% Native Hawaiian, with 8.9% of the population identifying as Hispanic or Latino. Of all households, 90% reported speaking English only, while 8% reported speaking Spanish only. Moreover, 5% of residents were classified as foreign-born.

Gaston Population Density

Regions characterized by lower-than-average population density, such as Gaston, offer a chance for a more relaxed lifestyle, deeper connection to nature, vibrant community bonds, enhanced affordability, and heightened safety, making them enticing options for those seeking refuge from the frenetic pace of urban life. These areas often boast a more budget-friendly cost of living, with housing prices typically more affordable and residents may benefit from reduced taxes, living expenses, and insurance rates. Low population density areas often exhibit lower crime rates than densely populated urban regions, fostering a greater sense of safety and security for residents and their families. The Gaston population density is 402 people per square mile, which ranks below 50% of cities nationwide, presenting ample opportunities to enjoy these exceptional benefits.

Why are Demographics Important?

Healthcare Planning: Analyzing the demographic data in Gaston has the potential to inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. Healthcare providers and policymakers can allocate resources more effectively, develop prevention and intervention programs and address health inequities within communities by understanding demographic trends. Leveraging demographic statistics can enable healthcare providers and policymakers to strive for equitable, accessible and high-quality healthcare for all individuals and communities. This proactive healthcare planning approach ensures targeted interventions, efficient resource allocation and tailored healthcare services to meet diverse population needs.

Urban Development: Urban planners could use Gaston 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 Gaston demographics for planning and development of affordable housing can help prevent displacement.

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 Gaston 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 Gaston 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 Gaston is 129% higher than South Carolina
  • The median age in Gaston is 16% lower than South Carolina
  • In Gaston 77.87% of the population is White
  • In Gaston 12.92% of the population is Black
  • In Gaston 2.84% of the population is Asian

Compare Gaston, SC Demographics

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      Gaston racial demographics

      Race Gaston South Carolina National
      White 77.87% 67.27% 73.35%
      Black 12.92% 27.35% 12.63%
      Asian 2.84% 1.42% 5.22%
      American Indian 0.00% 0.32% 0.82%
      Native Hawaiian 0.00% 0.06% 0.18%
      Mixed race 2.56% 2.07% 3.06%
      Other race 3.81% 1.51% 4.75%
      In Gaston, 8.9% 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

      Gaston age breakdown

      Marital status

      Age of children in married couples

      Source: The Gaston, 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.