Statistic Glenmoor Ohio National
Population 1,774 12,145,682 336,919,644
Population density (sq mi) 635 297 91
Median age 33.3 39.3 37.7
Male/Female ratio 1.2:1 1.0:1 1.0:1
Married (15yrs & older) 66% 56% 55%
Families w/ Kids under 18 46% 42% 43%
Speak English 98% 93% 79%
Speak Spanish 0% 2% 13%
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Overview of Glenmoor Demographics

The population of Glenmoor is 1,774, with a population density of 635 people per square mile, diverging from the national average of 91. The median age is 33.3 and 66% of individuals aged 15 or older are married, while 46% have children under 18. As far as income equality in Glenmoor goes, 23% of households have a median income below $25,000, whereas 12% report an income exceeding $150,000. The Glenmoor 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.

Glenmoor Racial Demographics & Ethnicity

The 5 largest ethnic groups in Glenmoor are 88.4% White, 11.6% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian, with 0% of the population identifying as Hispanic or Latino. Of note, 98% of households reported speaking English only, while 0% reported speaking Spanish only. Additionally, 0.9% of residents were classified as foreign-born. The Glenmoor racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.

Glenmoor Population Density

Towns, villages or even small cities with below-average population density, like Glenmoor, offer the expectation of a more laid-back lifestyle, deeper immersion in nature, strong community bonds, improved affordability and enhanced safety, drawing individuals seeking respite from the hustle and bustle of urban living. These regions often feature a more affordable cost of living, with housing prices typically more reasonable and residents may enjoy reduced taxes, living expenses and insurance rates. Low population density areas generally boast lower crime rates than densely populated urban areas, fostering a greater sense of safety and security for residents and their families. Glenmoor has a population density of 635 people per square mile, which falls below 50% of cities nationwide, positioning it to leverage these outstanding benefits.

Why are Demographics Important?

Social Cohesion: Analyzing demographics is vital for nurturing social cohesion and fostering understanding among diverse communities. By embracing and respecting variations in Glenmoor demographics, societies can advance inclusivity, diversity and social unity while combatting social inequalities and advocating for equal opportunities. Racial demographics mirror the diversity within a population and can be instrumental in cultivating inclusive and inviting communities. Embracing diversity strengthens social bonds, fosters cultural appreciation and enriches society by acknowledging the contributions of individuals from various racial and ethnic backgrounds.

Understanding Populations: Analyzing and interpreting the Glenmoor 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 Glenmoor 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.

Urban Development: Urban planners can leverage demographics data in Glenmoor to design and develop areas that cater to residents' needs, spanning housing, transportation, and public services, while prioritizing sustainability and enhancing quality of life. Demographic changes can contribute to gentrification and neighborhood evolution, whether in urban or rural contexts. As neighborhoods attract new residents with diverse income levels and lifestyle preferences, property values may appreciate, potentially displacing longstanding residents and reshaping the neighborhood's identity. Understanding population density, age distribution, household size and income levels is essential for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Incorporating Glenmoor demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.

Demographics Quick Facts

  • The population density in Glenmoor is 114% higher than Ohio
  • The median age in Glenmoor is 15% lower than Ohio
  • In Glenmoor 88.44% of the population is White
  • In Glenmoor 11.56% of the population is Black
  • In Glenmoor 0.00% of the population is Asian

Compare Glenmoor, OH Demographics

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      Glenmoor racial demographics

      Race Glenmoor Ohio National
      White 88.44% 82.16% 73.35%
      Black 11.56% 12.27% 12.63%
      Asian 0.00% 1.94% 5.22%
      American Indian 0.00% 0.19% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 0.00% 2.57% 3.06%
      Other race 0.00% 0.85% 4.75%
      In Glenmoor, 0.0% 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

      Glenmoor age breakdown

      Marital status

      Age of children in married couples

      Source: The Glenmoor, OH 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.