Statistic Riviera Beach Maryland National
Population 13,245 6,178,543 336,919,644
Population density (sq mi) 5,030 636 91
Median age 39.0 38.3 37.7
Male/Female ratio 0.8:1 0.9:1 1.0:1
Married (15yrs & older) 63% 54% 55%
Families w/ Kids under 18 40% 44% 43%
Speak English 94% 82% 79%
Speak Spanish 1% 7% 13%
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Overview of Riviera Beach Demographics

The population in Riviera Beach is 13,245, while the population density is 5,030 people per square mile, contrasting with the national average of 91. The median age stands at 39, with 63% of individuals aged 15 or older being married and 40% having children under 18. In terms of household income equality in Riviera Beach, 13% of households report a median income below $25,000, while 36% report an income exceeding $150,000. The Riviera Beach 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.

Riviera Beach Racial Demographics & Ethnicity

Understanding the Riviera Beach racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Riviera Beach, the racial breakdown indicates 85.5% White, 6.5% Black or African American, 2.2% Asian, 0% American Indian and 0% Native Hawaiian, with 1.2% of the population identifying as Hispanic or Latino. Notably, 94.4% of households reported speaking English only, while 1.3% reported speaking Spanish only. Additionally, 4.5% of residents were categorized as foreign-born.

Riviera Beach 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. Riviera Beach has a population density of 5,030 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?

Education Allocation: Riviera Beach demographic data can help guide education planning by identifying student demographics, school enrollment trends and educational needs, helping schools and policymakers allocate resources and develop effective educational programs. It can be an essential tool for identifying disparities in educational access and outcomes among different demographic groups, such as racial and ethnic minorities, socio-economic status, or students with disabilities. By disaggregating data by demographic factors, education planners can identify areas of inequity and develop targeted interventions to improve access, support and outcomes for marginalized students. Overall, Riviera Beach demographic data is invaluable in education for promoting equity, supporting student success, and fostering inclusive learning environments that meet the needs of all students.

Urban Development: Riviera Beach demographic statistics are invaluable for urban planners in designing and developing areas that cater to residents' needs, encompassing housing, transportation, and public services, all while fostering sustainability and enhancing quality of life. Shifts in demographics can influence gentrification and neighborhood transformation, whether in urban or rural settings. As neighborhoods attract new residents with varying income levels and lifestyle preferences, property values may increase, potentially displacing long-term residents and altering the neighborhood's character. Analyzing population density, age distribution, household size, and income levels is crucial for guiding decisions regarding zoning, transportation infrastructure, housing expansion and public amenities. Utilizing Riviera Beach demographic data in planning and executing affordable housing initiatives can serve as a preventive measure against displacement.

Healthcare Planning: The examination of Riviera Beach 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.

Demographics Quick Facts

  • The population density in Riviera Beach is 690% higher than Maryland
  • The median age in Riviera Beach is 2% higher than Maryland
  • In Riviera Beach 85.48% of the population is White
  • In Riviera Beach 6.53% of the population is Black
  • In Riviera Beach 2.24% of the population is Asian

Compare Riviera Beach, MD Demographics

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      Riviera Beach racial demographics

      Race Riviera Beach Maryland National
      White 85.48% 57.19% 73.35%
      Black 6.53% 29.63% 12.63%
      Asian 2.24% 6.08% 5.22%
      American Indian 0.00% 0.27% 0.82%
      Native Hawaiian 0.00% 0.05% 0.18%
      Mixed race 5.06% 3.12% 3.06%
      Other race 0.70% 3.67% 4.75%
      In Riviera Beach, 1.2% 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

      Riviera Beach age breakdown

      Marital status

      Age of children in married couples

      Source: The Riviera Beach, MD 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.