Statistic South Floral Park New York National
Population 1,813 20,171,207 336,919,644
Population density (sq mi) 18,890 428 91
Median age 39.9 38.2 37.7
Male/Female ratio 0.9:1 0.9:1 1.0:1
Married (15yrs & older) 45% 52% 55%
Families w/ Kids under 18 32% 43% 43%
Speak English 55% 70% 79%
Speak Spanish 12% 15% 13%
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Overview of South Floral Park Demographics

The demographics of South Floral Park 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 1,813, South Floral Park exhibits a population density of 18,890 people per square mile, contrasting with the national average of 91. The median age stands at 39.9, with 45% of individuals aged 15 or older being married and 32% having children under 18. In terms of income equality in South Floral Park, 2% of households report a median income below $25,000, while 38% report an income exceeding $150,000, showcasing a diverse economic landscape.

South Floral Park Racial Demographics & Ethnicity

Understanding the South Floral Park racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In South Floral Park, the racial breakdown indicates 11.8% White, 54.1% Black or African American, 22.1% Asian, 0% American Indian and 0% Native Hawaiian, with 15.9% of the population identifying as Hispanic or Latino. Notably, 54.7% of households reported speaking English only, while 12.3% reported speaking Spanish only. Additionally, 43.1% of residents were categorized as foreign-born.

South Floral Park 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. South Floral Park has a population density of 18,890 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?

Understanding Populations: Analyzing and interpreting the South Floral Park demographic data provides us with valuable insights into the characteristics and composition of populations, encompassing age, gender, race, ethnicity, income, education and other socio-economic variables. This understanding is crucial for addressing the diverse needs, preferences and challenges encountered by various demographic groups within communities. Demographics play a crucial role in understanding populations, informing decision-making processes, and advancing equity, inclusion, and overall well-being for all individuals and communities. The South Floral Park population and demographic data serves as a foundation for addressing social, economic and environmental challenges, while also nurturing the well-being and resilience of societies.

Healthcare Planning: The analysis of South Floral Park demographics can offer insights into healthcare planning and delivery, identifying population health needs, disparities and risk factors. By understanding demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs and address health inequities within communities. Through the use of demographic data and statistics, healthcare providers and policymakers aim to achieve equitable, accessible and high-quality healthcare for all individuals and communities. This proactive approach to healthcare planning ensures targeted interventions, efficient resource allocation and customized healthcare services to meet the diverse needs of populations.

Policy Planning: Demographic data and statistics serve as valuable tools for guiding policy and decision-making processes across government entities, organizations, and businesses. Through the analysis and interpretation of South Floral Park demographics, policymakers, government officials and organizational leaders can identify areas requiring attention, allocate resources strategically and develop policies and initiatives that cater to the unique needs and preferences of various demographic groups. South Floral Park demographic statistics can play a critical role in policy planning by informing resource allocation, enabling evidence-based decision-making, identifying priority areas, forecasting future trends, monitoring policy outcomes and fostering equity and inclusivity. By harnessing this data effectively, policymakers can craft policies that are targeted, efficient and equitable, thereby addressing the diverse needs of communities.

Demographics Quick Facts

  • The population density in South Floral Park is 4313% higher than New York
  • The median age in South Floral Park is 4% higher than New York
  • In South Floral Park 11.82% of the population is White
  • In South Floral Park 54.05% of the population is Black
  • In South Floral Park 22.15% of the population is Asian

Compare South Floral Park, NY Demographics

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      South Floral Park racial demographics

      Race South Floral Park New York National
      White 11.82% 64.31% 73.35%
      Black 54.05% 15.60% 12.63%
      Asian 22.15% 8.12% 5.22%
      American Indian 0.00% 0.38% 0.82%
      Native Hawaiian 0.00% 0.04% 0.18%
      Mixed race 3.48% 2.93% 3.06%
      Other race 8.50% 8.62% 4.75%
      In South Floral Park, 15.9% 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

      South Floral Park age breakdown

      Marital status

      Age of children in married couples

      Source: The South Floral Park, NY 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.