| Statistic | McDonald | Ohio | National |
| Population | 3,054 | 11,689,100 | 328,239,523 |
| Population density (sq mi) | 1,797 | 288 | 91 |
| Median age | 45.0 | 39.3 | 37.7 |
| Male/Female ratio | 0.7:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 58% | 56% | 55% |
| Families w/ Kids under 18 | 34% | 42% | 43% |
| Speak English | 97% | 93% | 79% |
| Speak Spanish | 1% | 2% | 13% |
The demographics of McDonald offer invaluable insights into the composition, dynamics and needs of both urban and rural areas, empowering planners, developers and policymakers to foster prosperity, equity, and well-being for all residents. With a population of 3,054, McDonald exhibits a population density of 1,797 people per square mile, contrasting with the national average of 91. The median age stands at 45, with 58% of individuals aged 15 or older being married and 34% having children under 18. In terms of income equality in McDonald, 16% of households report a median income below $25,000, while 10% report an income exceeding $150,000, showcasing a diverse economic landscape.
Recognizing the racial demographics and ethnicity breakdown of McDonald is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In McDonald, the racial breakdown comprises 95.4% White, 2% Black or African American, 0% Asian, 0% American Indian, and 0% Native Hawaiian, with 0% of the population identifying as Hispanic or Latino. 97% of households reported speaking English only, while 0.8% reported speaking Spanish only. Furthermore, 1.1% of residents were categorized as foreign-born.
Communities such as McDonald, with population densities higher than the average, play a significant role in promoting environmental sustainability by decreasing per capita energy consumption, greenhouse gas emissions and land use. Their compact urban development encourages the adoption of energy-efficient buildings, walking, cycling, and public transportation, fostering sustainable lifestyles and minimizing environmental impact. Additionally, densely populated areas tend to cultivate vibrant social and cultural scenes, fueled by a diverse population that contributes to a myriad of cultural events, festivals and community activities. This cultural diversity sparks creativity, innovation and cross-cultural exchange, enriching the social fabric of the community. McDonald has a population density of 1,797, surpassing the national average of 91 people per square mile, as it stands poised to reap the benefits of dense urban living.
Policy Planning: Demographic data and statistics can inform policy and decision-making processes at various levels of government, as well as in organizations and businesses. By reporting and analyzing McDonald demographics data, policymakers, government officials and organizational leaders can identify areas of need, allocate resources effectively and develop targeted policies and programs that address the specific needs and priorities of different demographic groups. McDonald demographics can play a crucial role in policy planning by informing resource allocation, evidence-based decision making, identifying priorities, forecasting future trends, monitoring policy impact and promoting equity and inclusion. By leveraging this data effectively, policymakers can develop policies that are targeted, effective and responsive to the needs of diverse communities.
Urban Development: Urban planners could use McDonald demographic data to design and create areas that accommodate the needs of residents, including housing, transportation and public services, while promoting sustainability and quality of life. Demographic shifts can contribute to gentrification and neighborhood change in urban or rural areas. As neighborhoods attract new residents with different income levels and lifestyle preferences, property values may rise, leading to displacement of long-time residents and changes in the character and identity of the neighborhood. Understanding population density, age distribution, household size and income levels helps inform decisions related to zoning, transportation infrastructure, housing development and public amenities. Lastly, using McDonald demographics for planning and development of affordable housing can help prevent displacement.
Education Allocation: McDonald demographics can play a pivotal role in guiding education planning, offering insights into student demographics, school enrollment patterns, and educational requirements. This data aids schools and policymakers in resource allocation and the development of effective educational programs. It serves as a critical tool for identifying disparities in educational access and outcomes among diverse demographic groups, such as racial and ethnic minorities, socio-economic status, and students with disabilities. Through the disaggregation of data by demographic factors, education planners can pinpoint areas of inequity and implement targeted interventions to enhance access, support, and outcomes for marginalized students. Ultimately, McDonald demographic data is indispensable in education for advancing equity, fostering student achievement, and cultivating inclusive learning environments tailored to the needs of all students.
| Race | McDonald | Ohio | National |
| White | 95.45% | 82.16% | 73.35% |
| Black | 1.96% | 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 | 2.19% | 2.57% | 3.06% |
| Other race | 0.39% | 0.85% | 4.75% |
Here are the best places to live in Ohio
These are the 10 most affordable cities in Ohio
10 Best cities in Ohio for employment
10 best cities to buy a new house in Ohio