Statistic Wyndmoor Pennsylvania National
Population 5,567 13,262,738 336,919,644
Population density (sq mi) 3,383 296 91
Median age 48.5 40.6 37.7
Male/Female ratio 0.8:1 1.0:1 1.0:1
Married (15yrs & older) 61% 56% 55%
Families w/ Kids under 18 45% 40% 43%
Speak English 90% 89% 79%
Speak Spanish 3% 5% 13%
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Overview of Wyndmoor Demographics

Understanding the demographics of Wyndmoor is essential for gaining insights into the composition, dynamics and needs of any city, town or village. This knowledge empowers planners, developers and policymakers to strategize effectively, promoting prosperity, equity and well-being for all residents. The Wyndmoor population is 5,567, with a population density of 3,383 people per square mile, diverging from the national average of 91. The median age is 48.5, and 61% of individuals aged 15 or older are married, while 45% have children under 18. As far as income equality in Wyndmoor, 12% of households have a median income below $25,000, whereas 40% report an income exceeding $150,000, indicating a varied economic landscape within the area.

Wyndmoor Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Wyndmoor is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Wyndmoor, the racial breakdown comprises 74.5% White, 17.4% Black or African American, 3.5% Asian, 0.2% American Indian, and 0% Native Hawaiian, with 2.2% of the population identifying as Hispanic or Latino. 90% of households reported speaking English only, while 2.9% reported speaking Spanish only. Furthermore, 7.3% of residents were categorized as foreign-born.

Wyndmoor Population Density

High population density areas typically offer a diverse array of amenities and services within walking distance or a short commute, enriching residents' quality of life and well-being. Accessible healthcare facilities, educational institutions, cultural venues, restaurants, shopping and public transportation options contribute to the convenience and vibrancy of these communities. The population density of of Wyndmoor is 3,383 people per square mile, which far exceeds the national average of 91 and ranks among the most densely populated cities in the nation.

Why are Demographics Important?

Understanding Populations: The examination and analysis of Wyndmoor 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 Wyndmoor 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 Wyndmoor 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, Wyndmoor 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.

Policy Planning: Demographic data and statistics play a fundamental role in informing policy and decision-making processes across government entities, organizations and businesses. Through the analysis and interpretation of Wyndmoor demographic data, policymakers, government officials, and organizational leaders can pinpoint areas of concern, allocate resources efficiently, and devise policies and initiatives tailored to the specific needs and preferences of distinct demographic groups. The utilization of demographics in Wyndmoor can be crucial in policy planning, facilitating evidence-based decision-making, identifying key priorities, forecasting future trends, monitoring policy outcomes and advancing principles of equity and inclusion. By harnessing this data effectively, policymakers can develop policies that are targeted, effective and inclusive, thus meeting the diverse needs of communities.

Demographics Quick Facts

  • The population density in Wyndmoor is 1041% higher than Pennsylvania
  • The median age in Wyndmoor is 19% higher than Pennsylvania
  • In Wyndmoor 74.53% of the population is White
  • In Wyndmoor 17.37% of the population is Black
  • In Wyndmoor 3.50% of the population is Asian

Compare Wyndmoor, PA Demographics

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      Wyndmoor racial demographics

      Race Wyndmoor Pennsylvania National
      White 74.53% 81.37% 73.35%
      Black 17.37% 11.03% 12.63%
      Asian 3.50% 3.14% 5.22%
      American Indian 0.17% 0.20% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 3.76% 2.24% 3.06%
      Other race 0.68% 1.98% 4.75%
      In Wyndmoor, 2.2% 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

      Wyndmoor age breakdown

      Marital status

      Age of children in married couples

      Source: The Wyndmoor, 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.