Statistic Park Forest Village Pennsylvania National
Population 9,750 13,262,738 336,919,644
Population density (sq mi) 3,975 296 91
Median age 32.9 40.6 37.7
Male/Female ratio 0.9:1 1.0:1 1.0:1
Married (15yrs & older) 50% 56% 55%
Families w/ Kids under 18 49% 40% 43%
Speak English 77% 89% 79%
Speak Spanish 3% 5% 13%
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Overview of Park Forest Village Demographics

Park Forest Village demographics provide invaluable insights into the composition, dynamics and needs of urban and rural areas, enabling them to plan, develop, and govern in ways that promote prosperity, equity and well-being for all residents. The Park Forest Village population is 9,750 and has a population density of 3,975 people per square mile, compared to the national average of 91. The median age of all residents is 32.9, 50% of people 15 years of age or older are married and 49% have kids under the age of 18. In Park Forest Village, 24% of households have a median income that is below $25,000 and 24% of households report a median income above $150,000.

Park Forest Village Racial Demographics & Ethnicity

The Park Forest Village racial demographics and ethnicity breakdown could be indispensable tools for recognizing and rectifying systemic inequities, fostering social justice and inclusion and cultivating resilient communities. In Park Forest Village, the racial breakdown reveals 75.1% White, 4% Black or African American, 16% Asian, 0% American Indian and 0% Native Hawaiian, with 4.7% of the population identifying as Hispanic or Latino. Of all households, 77.3% reported speaking English only, while 3.2% reported speaking Spanish only. Moreover, 19% of residents were classified as foreign-born.

Park Forest Village Population Density

Areas with a high population density tend to support a wide range of amenities and services within walking distance or a short commute. Residents tend to have convenient access to healthcare facilities, educational institutions, cultural venues, restaurants, shops and public transportation options, enhancing their quality of life and overall well-being. The Park Forest Village population density is 3,975 people per square mile, which is well-above the national average of 91 and is considered one of the most densely populated cities in the country.

Why are Demographics Important?

Healthcare Planning: The analysis of Park Forest Village 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.

Urban Development: Park Forest Village 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 Park Forest Village demographic data in planning and executing affordable housing initiatives can serve as a preventive measure against displacement.

Understanding Populations: Reporting and analyzing the demographic data in Park Forest Village can allow us to gain insights into the characteristics and composition of populations, including age, gender, race, ethnicity, income, education and other socio-economic factors. This understanding is essential for addressing the diverse needs, preferences and challenges of different demographic groups within communities. Demographics can play a crucial role in understanding populations, informing decision-making processes and promoting equity, inclusion, and well-being for all individuals and communities. Park Forest Village population data serves as a foundation for addressing social, economic, and environmental challenges and promoting the well-being and resilience of societies.

Demographics Quick Facts

  • The population density in Park Forest Village is 1241% higher than Pennsylvania
  • The median age in Park Forest Village is 19% lower than Pennsylvania
  • In Park Forest Village 75.12% of the population is White
  • In Park Forest Village 4.05% of the population is Black
  • In Park Forest Village 16.03% of the population is Asian

Compare Park Forest Village, PA Demographics

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      Park Forest Village racial demographics

      Race Park Forest Village Pennsylvania National
      White 75.12% 81.37% 73.35%
      Black 4.05% 11.03% 12.63%
      Asian 16.03% 3.14% 5.22%
      American Indian 0.02% 0.20% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 4.70% 2.24% 3.06%
      Other race 0.08% 1.98% 4.75%
      In Park Forest Village, 4.7% 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

      Park Forest Village age breakdown

      Marital status

      Age of children in married couples

      Source: The Park Forest Village, PA 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.