Statistic Iva South Carolina National
Population 1,208 5,275,357 336,919,644
Population density (sq mi) 1,311 175 91
Median age 35.2 38.8 37.7
Male/Female ratio 0.7:1 0.9:1 1.0:1
Married (15yrs & older) 58% 56% 55%
Families w/ Kids under 18 40% 40% 43%
Speak English 99% 93% 79%
Speak Spanish 1% 4% 13%
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Overview of Iva Demographics

The demographics of Iva offer invaluable insights into the composition, dynamics and needs of both urban and rural areas, empowering planners, developers and policymakers to foster prosperity, equity, and well-being for all residents. With a population of 1,208, Iva exhibits a population density of 1,311 people per square mile, contrasting with the national average of 91. The median age stands at 35.2, with 58% of individuals aged 15 or older being married and 40% having children under 18. In terms of income equality in Iva, 36% of households report a median income below $25,000, while 0% report an income exceeding $150,000, showcasing a diverse economic landscape.

Iva Racial Demographics & Ethnicity

The 5 largest ethnic groups in Iva are 90.2% White, 9% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian, with 0.5% of the population identifying as Hispanic or Latino. Of note, 99% of households reported speaking English only, while 0.6% reported speaking Spanish only. Additionally, 0% of residents were classified as foreign-born. The Iva racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.

Iva Population Density

Iva 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. Iva has a population density of 1,311 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?

Policy Planning: Demographic data and statistics serve as vital tools for informing policy and decision-making processes across various levels of government, as well as within organizations and businesses. Through the reporting and analysis of demographic data, policymakers, government officials, and organizational leaders can pinpoint areas of need, allocate resources efficiently, and craft tailored policies and programs to address the unique needs and priorities of different demographic groups. The utilization of demographic data in Iva is instrumental in policy planning, facilitating resource allocation, evidence-based decision-making, priority identification, trend forecasting, policy impact assessment, and the promotion of equity and inclusion. By harnessing this data effectively, policymakers can devise targeted, impactful, and inclusive policies that cater to the diverse needs of communities.

Healthcare Planning: The examination of Iva demographics can potentially inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. By comprehending demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs, and address health inequities within communities. Through the utilization of demographic statistics, healthcare providers and policymakers aim 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 tailored healthcare services to meet the diverse needs of populations.

Social Cohesion: The analysis and understanding of demographics are essential for promoting social cohesion and fostering appreciation among diverse communities. By embracing and acknowledging differences in Iva demographics, societies can promote inclusivity, diversity and social harmony while addressing social inequalities and advocating for equal opportunities. Racial demographics can reflect the diversity within a population and are instrumental in fostering inclusive and welcoming communities. Embracing ethnic diversity strengthens social connections, promotes cultural understanding and enriches society by celebrating the contributions of individuals from diverse racial and ethnic backgrounds.

Demographics Quick Facts

  • The population density in Iva is 647% higher than South Carolina
  • The median age in Iva is 9% lower than South Carolina
  • In Iva 90.23% of the population is White
  • In Iva 9.01% of the population is Black
  • In Iva 0.00% of the population is Asian

Compare Iva, SC Demographics

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      Iva racial demographics

      Race Iva South Carolina National
      White 90.23% 67.27% 73.35%
      Black 9.01% 27.35% 12.63%
      Asian 0.00% 1.42% 5.22%
      American Indian 0.00% 0.32% 0.82%
      Native Hawaiian 0.00% 0.06% 0.18%
      Mixed race 0.59% 2.07% 3.06%
      Other race 0.17% 1.51% 4.75%
      In Iva, 0.5% 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

      Iva age breakdown

      Marital status

      Age of children in married couples

      Source: The Iva, 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.