| Statistic | Dalton | Ohio | National |
| Population | 1,729 | 12,145,682 | 336,919,644 |
| Population density (sq mi) | 1,149 | 297 | 91 |
| Median age | 42.3 | 39.3 | 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 | 47% | 42% | 43% |
| Speak English | 97% | 93% | 79% |
| Speak Spanish | 1% | 2% | 13% |
The population in Dalton is 1,729, while the population density is 1,149 people per square mile, contrasting with the national average of 91. The median age stands at 42.3, with 61% of individuals aged 15 or older being married and 47% having children under 18. In terms of household income equality in Dalton, 23% of households report a median income below $25,000, while 9% report an income exceeding $150,000. The Dalton 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.
The Dalton racial demographics and ethnicity breakdown serves as a critical tool for understanding and addressing systemic inequities, promoting social justice and inclusion and building stronger, more resilient communities. The racial breakdown in Dalton is 97.6% White, 0.8% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian - 1.7% of the population identify as Hispanic or Latino. Of all households, 97.4% reported speaking English only, while 1.2% reported speaking Spanish only. A total of 0.3% of residents were considered foreign born.
Dalton could serve as a prime example of how areas with higher-than-average population density can champion environmental sustainability by reducing per capita energy consumption, greenhouse gas emissions and land use. Embracing compact urban development, these densely populated areas promote energy-efficient buildings and encourages walking, cycling and public transit use, fostering sustainable lifestyles and minimizing environmental impact. Moreover, densely populated regions are renowned for their vibrant social and cultural scenes, driven by a diverse population that organizes an array of cultural events, festivals and community activities. This cultural diversity ignites creativity, innovation and cross-cultural exchange, enriching the social fabric of the community. The Dalton population density is 1,149, surpassing the national average of 91 per square miles, positioning itself to capitalize on the advantages of dense urban living.
Education Allocation: Education planning benefits significantly from Dalton 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, Dalton 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.
Healthcare Planning: By analyzing the Dalton demographic data, it can potentially inform healthcare planning and delivery by identifying population health needs, disparities, and risk factors. Understanding demographic trends helps healthcare providers and policymakers allocate resources, develop prevention and intervention programs, and address health inequities within communities. By leveraging demographic data, healthcare providers and policymakers can work towards achieving equitable, accessible, and high-quality healthcare for all individuals and communities. This proactive approach to healthcare planning ensures that interventions are targeted, resources are allocated efficiently, and healthcare services are tailored to meet the diverse needs of populations.
Policy Planning: At various levels of government and within organizations and businesses, demographic data and statistics serve as essential tools for guiding policy and decision-making processes. Through the examination and interpretation of Dalton demographic stats and data, policymakers, government officials, and organizational leaders can pinpoint areas requiring attention, allocate resources judiciously and design policies and initiatives tailored to the specific needs and preferences of distinct demographic segments. The utilization of Dalton demographic data plays a pivotal role in policy formulation by informing resource allocation, facilitating evidence-based decision-making, identifying key priorities, predicting future trends, assessing policy effectiveness, and advancing principles of equity and inclusivity. Through effective utilization of this data, policymakers can craft policies that are targeted, efficient, and responsive to the diverse needs of communities.
| Race | Dalton | Ohio | National |
| White | 97.56% | 82.16% | 73.35% |
| Black | 0.77% | 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 | 1.25% | 2.57% | 3.06% |
| Other race | 0.42% | 0.85% | 4.75% |
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