Statistic Gantt South Carolina National
Population 15,043 5,275,357 336,919,644
Population density (sq mi) 1,537 175 91
Median age 34.4 38.8 37.7
Male/Female ratio 0.8:1 0.9:1 1.0:1
Married (15yrs & older) 49% 56% 55%
Families w/ Kids under 18 44% 40% 43%
Speak English 87% 93% 79%
Speak Spanish 12% 4% 13%
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Overview of Gantt Demographics

Understanding the demographics of Gantt is essential for gaining insights into the composition, dynamics and needs of any city, town or village. This knowledge empowers planners, developers and policymakers to strategize effectively, promoting prosperity, equity and well-being for all residents. The Gantt population is 15,043, with a population density of 1,537 people per square mile, diverging from the national average of 91. The median age is 34.4, and 49% of individuals aged 15 or older are married, while 44% have children under 18. As far as income equality in Gantt, 29% of households have a median income below $25,000, whereas 12% report an income exceeding $150,000, indicating a varied economic landscape within the area.

Gantt Racial Demographics & Ethnicity

The Gantt racial demographics and ethnicity breakdown serves as a critical tool for understanding and addressing systemic inequities, promoting social justice and inclusion and building stronger, more resilient communities. The racial breakdown in Gantt is 29.6% White, 58.5% Black or African American, 0.1% Asian, 0.8% American Indian and 0% Native Hawaiian - 15% of the population identify as Hispanic or Latino. Of all households, 86.9% reported speaking English only, while 12.1% reported speaking Spanish only. A total of 8.5% of residents were considered foreign born.

Gantt Population Density

Gantt has a population density that is well above-average, which plays a pivotal role in promoting environmental sustainability by reducing per capita energy consumption, greenhouse gas emissions and land use. Its compact urban development encourages energy-efficient buildings, active transportation modes like walking and cycling and the utilization of public transit, fostering sustainable lifestyles and mitigating environmental impact. Additionally, the area's dense population contributes to a vibrant social and cultural scene, featuring a diverse array of cultural events, festivals and community activities. This cultural diversity fuels creativity, innovation and cross-cultural exchange, enhancing the community's social fabric. Gantt has a population density of 1,537 people per square mile, exceeding the national average of 91 and positions itself in a good spot to reap the benefits of densely populated areas.

Why are Demographics Important?

Healthcare Planning: An analysis of Gantt demographics can inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. Understanding demographic trends allows healthcare providers and policymakers to allocate resources effectively, develop prevention and intervention programs and address health inequities within communities. Leveraging demographic data, healthcare providers, and policymakers strive to achieve equitable, accessible, and high-quality healthcare for all individuals and communities. This proactive healthcare planning approach ensures targeted interventions, efficient resource allocation and customized healthcare services to meet the diverse needs of populations.

Urban Development: Urban planners can leverage demographics data in Gantt to design and develop areas that cater to residents' needs, spanning housing, transportation, and public services, while prioritizing sustainability and enhancing quality of life. Demographic changes can contribute to gentrification and neighborhood evolution, whether in urban or rural contexts. As neighborhoods attract new residents with diverse income levels and lifestyle preferences, property values may appreciate, potentially displacing longstanding residents and reshaping the neighborhood's identity. Understanding population density, age distribution, household size and income levels is essential for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Incorporating Gantt demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.

Social Cohesion: Analyzing demographics is vital for nurturing social cohesion and fostering understanding among diverse communities. By embracing and respecting variations in Gantt demographics, societies can advance inclusivity, diversity and social unity while combatting social inequalities and advocating for equal opportunities. Racial demographics mirror the diversity within a population and can be instrumental in cultivating inclusive and inviting communities. Embracing diversity strengthens social bonds, fosters cultural appreciation and enriches society by acknowledging the contributions of individuals from various racial and ethnic backgrounds.

Demographics Quick Facts

  • The population density in Gantt is 776% higher than South Carolina
  • The median age in Gantt is 11% lower than South Carolina
  • In Gantt 29.64% of the population is White
  • In Gantt 58.51% of the population is Black
  • In Gantt 0.07% of the population is Asian

Compare Gantt, SC Demographics

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      Gantt racial demographics

      Race Gantt South Carolina National
      White 29.64% 67.27% 73.35%
      Black 58.51% 27.35% 12.63%
      Asian 0.07% 1.42% 5.22%
      American Indian 0.82% 0.32% 0.82%
      Native Hawaiian 0.00% 0.06% 0.18%
      Mixed race 3.79% 2.07% 3.06%
      Other race 7.19% 1.51% 4.75%
      In Gantt, 15.0% 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

      Gantt age breakdown

      Marital status

      Age of children in married couples

      Source: The Gantt, 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.