Statistic Kingston Estates New Jersey National
Population 6,583 9,226,043 336,919,644
Population density (sq mi) 5,684 1,255 91
Median age 34.3 39.5 37.7
Male/Female ratio 0.9:1 1.0:1 1.0:1
Married (15yrs & older) 44% 56% 55%
Families w/ Kids under 18 49% 45% 43%
Speak English 81% 69% 79%
Speak Spanish 3% 16% 13%
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Overview of Kingston Estates Demographics

The population of Kingston Estates is 6,583, with a population density of 5,684 people per square mile, diverging from the national average of 91. The median age is 34.3 and 44% of individuals aged 15 or older are married, while 49% have children under 18. As far as income equality in Kingston Estates goes, 9% of households have a median income below $25,000, whereas 23% report an income exceeding $150,000. The Kingston Estates demographics data can provide indispensable insights into the composition, dynamics and needs of cities, towns or even villages, empowering planners, developers and policymakers to devise strategies that foster prosperity, equity and well-being for all residents.

Kingston Estates Racial Demographics & Ethnicity

Understanding the Kingston Estates racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Kingston Estates, the racial breakdown indicates 60.9% White, 15.9% Black or African American, 15.9% Asian, 0% American Indian and 0% Native Hawaiian, with 6.4% of the population identifying as Hispanic or Latino. Notably, 80.7% of households reported speaking English only, while 2.6% reported speaking Spanish only. Additionally, 17.5% of residents were categorized as foreign-born.

Kingston Estates Population Density

The Kingston Estates population density comes in at 5,684 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?

Healthcare Planning: The examination of Kingston Estates 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.

Understanding Populations: The examination and analysis of Kingston Estates demographic data can offer valuable insights into the composition and traits of populations, including age, gender, race, ethnicity, income, education and various socio-economic factors. This understanding is essential for addressing the varied needs, preferences, and challenges faced by different demographic groups within communities. Demographics hold significant importance in understanding populations, guiding decision-making processes and promoting equity, inclusion, and overall well-being for all individuals and communities. The Kingston Estates population data serves as a cornerstone for addressing social, economic and environmental challenges, while also fostering the well-being and resilience of societies.

Education Allocation: Education planning benefits significantly from Kingston Estates 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, Kingston Estates 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.

Demographics Quick Facts

  • The population density in Kingston Estates is 353% higher than New Jersey
  • The median age in Kingston Estates is 13% lower than New Jersey
  • In Kingston Estates 60.90% of the population is White
  • In Kingston Estates 15.94% of the population is Black
  • In Kingston Estates 15.94% of the population is Asian

Compare Kingston Estates, NJ Demographics

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      Kingston Estates racial demographics

      Race Kingston Estates New Jersey National
      White 60.90% 68.15% 73.35%
      Black 15.94% 13.54% 12.63%
      Asian 15.94% 9.19% 5.22%
      American Indian 0.00% 0.21% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 3.66% 2.53% 3.06%
      Other race 3.55% 6.35% 4.75%
      In Kingston Estates, 6.4% 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

      Kingston Estates age breakdown

      Marital status

      Age of children in married couples

      Source: The Kingston Estates, NJ 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.