Statistic Saxon South Carolina National
Population 3,837 5,275,357 336,919,644
Population density (sq mi) 1,606 175 91
Median age 28.2 38.8 37.7
Male/Female ratio 0.8:1 0.9:1 1.0:1
Married (15yrs & older) 29% 56% 55%
Families w/ Kids under 18 45% 40% 43%
Speak English 82% 93% 79%
Speak Spanish 18% 4% 13%
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Overview of Saxon Demographics

The population in Saxon is 3,837, while the population density is 1,606 people per square mile, contrasting with the national average of 91. The median age stands at 28.2, with 29% of individuals aged 15 or older being married and 45% having children under 18. In terms of household income equality in Saxon, 59% of households report a median income below $25,000, while 3% report an income exceeding $150,000. The Saxon demographics data can provide invaluable insight into the composition, dynamics and needs of urban and rural areas, enabling planners, developers and policymakers to strategize effectively for the promotion of prosperity, equity and well-being for all residents in the area.

Saxon Racial Demographics & Ethnicity

The Saxon 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 Saxon is 48.8% White, 43.1% Black or African American, 0.1% Asian, 0% American Indian and 0% Native Hawaiian - 25.5% of the population identify as Hispanic or Latino. Of all households, 81.8% reported speaking English only, while 18.1% reported speaking Spanish only. A total of 6.4% of residents were considered foreign born.

Saxon Population Density

Areas like Saxon that have a higher than average population density tend to support environmental sustainability by reducing per capita energy consumption, greenhouse gas emissions and land use. Compact urban development encourages energy-efficient buildings, walking, cycling and the use of public transit, promoting sustainable lifestyles and reducing environmental impact. Densely populated areas also tend to have more vibrant social and cultural scenes, with a diverse population contributing to a wide array of cultural events, festivals and community activities. This diversity fosters creativity, innovation and cross-cultural exchange, enriching the social fabric of the community. The Saxon population density is higher than average and comes in at 1,606 people per square mile (compared to the nationwide average of 91), putting it in a position to take advantage of all the benefits of a densely populated area.

Why are Demographics Important?

Education Allocation: Education planning benefits significantly from Saxon demographic information, which helps identify student demographics, school enrollment trends, and educational needs. This data assists schools and policymakers in allocating resources effectively and devising impactful educational programs. It serves as a vital tool for recognizing disparities in educational access and outcomes among diverse demographic groups, including racial and ethnic minorities, socio-economic status, and students with disabilities. By disaggregating data based on demographic factors, education planners can pinpoint areas of inequity and implement targeted interventions to improve access, support, and outcomes for marginalized students. Ultimately, Saxon demographic data is essential in education for advancing equity, fostering student success, and cultivating inclusive learning environments tailored to meet the needs of all students.

Social Cohesion: Analyzing demographics is vital for nurturing social cohesion and fostering understanding among diverse communities. By embracing and respecting variations in Saxon 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.

Healthcare Planning: An analysis of Saxon 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.

Demographics Quick Facts

  • The population density in Saxon is 815% higher than South Carolina
  • The median age in Saxon is 27% lower than South Carolina
  • In Saxon 48.78% of the population is White
  • In Saxon 43.12% of the population is Black
  • In Saxon 0.11% of the population is Asian

Compare Saxon, SC Demographics

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      Saxon racial demographics

      Race Saxon South Carolina National
      White 48.78% 67.27% 73.35%
      Black 43.12% 27.35% 12.63%
      Asian 0.11% 1.42% 5.22%
      American Indian 0.00% 0.32% 0.82%
      Native Hawaiian 0.00% 0.06% 0.18%
      Mixed race 3.14% 2.07% 3.06%
      Other race 4.86% 1.51% 4.75%
      In Saxon, 25.5% 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

      Saxon age breakdown

      Marital status

      Age of children in married couples

      Source: The Saxon, 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.