Statistic Mount Pleasant South Carolina National
Population 91,527 5,275,357 336,919,644
Population density (sq mi) 2,028 175 91
Median age 40.8 38.8 37.7
Male/Female ratio 1.0:1 0.9:1 1.0:1
Married (15yrs & older) 64% 56% 55%
Families w/ Kids under 18 48% 40% 43%
Speak English 94% 93% 79%
Speak Spanish 2% 4% 13%
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Local Insights Report

Overview of Mount Pleasant Demographics

Understanding the demographics of Mount Pleasant 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 Mount Pleasant population is 91,527, with a population density of 2,028 people per square mile, diverging from the national average of 91. The median age is 40.8, and 64% of individuals aged 15 or older are married, while 48% have children under 18. As far as income equality in Mount Pleasant, 9% of households have a median income below $25,000, whereas 42% report an income exceeding $150,000, indicating a varied economic landscape within the area.

Mount Pleasant Racial Demographics & Ethnicity

Understanding the Mount Pleasant racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Mount Pleasant, the racial breakdown indicates 91.4% White, 4.1% Black or African American, 1.8% Asian, 0.2% American Indian and 0% Native Hawaiian, with 2.5% of the population identifying as Hispanic or Latino. Notably, 94.1% of households reported speaking English only, while 1.8% reported speaking Spanish only. Additionally, 5.2% of residents were categorized as foreign-born.

Mount Pleasant Population Density

In areas with high population density, residents enjoy a wealth of amenities and services conveniently located within walking distance or a short commute. Access to healthcare facilities, educational institutions, cultural venues, dining options, retail stores and public transit enhances residents' quality of life and overall well-being. Mount Pleasant has a population density of 2,028 people per square mile, which far exceeds the national average of 91 and ranks among the most densely populated cities in the country.

Why are Demographics Important?

Policy Planning: Demographic data and statistics can inform policy and decision-making processes at various levels of government, as well as in organizations and businesses. By reporting and analyzing Mount Pleasant demographics data, policymakers, government officials and organizational leaders can identify areas of need, allocate resources effectively and develop targeted policies and programs that address the specific needs and priorities of different demographic groups. Mount Pleasant demographics can play a crucial role in policy planning by informing resource allocation, evidence-based decision making, identifying priorities, forecasting future trends, monitoring policy impact and promoting equity and inclusion. By leveraging this data effectively, policymakers can develop policies that are targeted, effective and responsive to the needs of diverse communities.

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

Urban Development: Utilizing Mount Pleasant demographic statistics and data, urban planners can craft and develop areas that cater to local residents, encompassing housing, transportation and public services, all while emphasizing sustainability and enriching quality of life. Demographic transitions can contribute to gentrification and neighborhood evolution, whether in urban or rural environments. As neighborhoods draw in new residents with varying income levels and lifestyle preferences, property values may appreciate, potentially displacing longtime inhabitants and reshaping the neighborhood's fabric. Comprehensive insights into population density, age distribution, household size, and income levels are instrumental in guiding decisions regarding zoning, transportation infrastructure, housing expansion and public amenities. Harnessing Mount Pleasant demographic stats for planning and executing affordable housing initiatives can serve as a preventive measure against displacement.

Demographics Quick Facts

  • The population density in Mount Pleasant is 1056% higher than South Carolina
  • The median age in Mount Pleasant is 5% higher than South Carolina
  • In Mount Pleasant 91.36% of the population is White
  • In Mount Pleasant 4.11% of the population is Black
  • In Mount Pleasant 1.85% of the population is Asian

Compare Mount Pleasant, SC Demographics

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      Mount Pleasant racial demographics

      Race Mount Pleasant South Carolina National
      White 91.36% 67.27% 73.35%
      Black 4.11% 27.35% 12.63%
      Asian 1.85% 1.42% 5.22%
      American Indian 0.17% 0.32% 0.82%
      Native Hawaiian 0.00% 0.06% 0.18%
      Mixed race 2.36% 2.07% 3.06%
      Other race 0.15% 1.51% 4.75%
      In Mount Pleasant, 2.5% 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

      Mount Pleasant age breakdown

      Marital status

      Age of children in married couples

      Source: The Mount Pleasant, 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.