Statistic Southport Indiana National
Population 1,936 6,996,062 336,919,644
Population density (sq mi) 3,082 195 91
Median age 40.8 37.4 37.7
Male/Female ratio 1.0:1 1.0:1 1.0:1
Married (15yrs & older) 53% 56% 55%
Families w/ Kids under 18 37% 43% 43%
Speak English 73% 92% 79%
Speak Spanish 2% 5% 13%
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Overview of Southport Demographics

The population in Southport is 1,936, while the population density is 3,082 people per square mile, contrasting with the national average of 91. The median age stands at 40.8, with 53% of individuals aged 15 or older being married and 37% having children under 18. In terms of household income equality in Southport, 13% of households report a median income below $25,000, while 8% report an income exceeding $150,000. The Southport 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.

Southport Racial Demographics & Ethnicity

Understanding the Southport racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Southport, the racial breakdown indicates 74.6% White, 0.5% Black or African American, 23.5% Asian, 0% American Indian and 0% Native Hawaiian, with 1.4% of the population identifying as Hispanic or Latino. Notably, 73.1% of households reported speaking English only, while 1.6% reported speaking Spanish only. Additionally, 22.9% of residents were categorized as foreign-born.

Southport Population Density

The Southport population density comes in at 3,082 people per square mile, which makes it one of the most densely populated areas in the country, far surpassing the national average of 91. Areas characterized by high population density often boast an abundance of amenities and services within close proximity, providing residents with convenient access to healthcare, education, cultural attractions, dining establishments, retail outlets and transportation options. This accessibility could potentially enhance residents' overall quality of life and well-being.

Why are Demographics Important?

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

Policy Planning: At various levels of government and within organizations and businesses, demographic data and statistics serve as essential tools for guiding policy and decision-making processes. Through the examination and interpretation of Southport demographic stats and data, policymakers, government officials, and organizational leaders can pinpoint areas requiring attention, allocate resources judiciously and design policies and initiatives tailored to the specific needs and preferences of distinct demographic segments. The utilization of Southport demographic data plays a pivotal role in policy formulation by informing resource allocation, facilitating evidence-based decision-making, identifying key priorities, predicting future trends, assessing policy effectiveness, and advancing principles of equity and inclusivity. Through effective utilization of this data, policymakers can craft policies that are targeted, efficient, and responsive to the diverse needs of communities.

Healthcare Planning: By analyzing the Southport demographic data, it can potentially inform healthcare planning and delivery by identifying population health needs, disparities, and risk factors. Understanding demographic trends helps healthcare providers and policymakers allocate resources, develop prevention and intervention programs, and address health inequities within communities. By leveraging demographic data, healthcare providers and policymakers can work towards achieving equitable, accessible, and high-quality healthcare for all individuals and communities. This proactive approach to healthcare planning ensures that interventions are targeted, resources are allocated efficiently, and healthcare services are tailored to meet the diverse needs of populations.

Demographics Quick Facts

  • The population density in Southport is 1478% higher than Indiana
  • The median age in Southport is 9% higher than Indiana
  • In Southport 74.56% of the population is White
  • In Southport 0.48% of the population is Black
  • In Southport 23.47% of the population is Asian

Compare Southport, IN Demographics

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      Southport racial demographics

      Race Southport Indiana National
      White 74.56% 83.99% 73.35%
      Black 0.48% 9.23% 12.63%
      Asian 23.47% 1.98% 5.22%
      American Indian 0.00% 0.24% 0.82%
      Native Hawaiian 0.00% 0.04% 0.18%
      Mixed race 0.96% 2.22% 3.06%
      Other race 0.53% 2.30% 4.75%
      In Southport, 1.4% 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

      Southport age breakdown

      Marital status

      Age of children in married couples

      Source: The Southport, IN 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.