Dillon, MT Demographics

Overview of Dillon Demographics

Dillon 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 Dillon population is 4,333 and has a population density of 2,283 people per square mile, compared to the national average of 91. The median age of all residents is 30.8, 45% of people 15 years of age or older are married and 44% have kids under the age of 18. In Dillon, 45% of households have a median income that is below $25,000 and 7% of households report a median income above $150,000.

Dillon Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Dillon is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Dillon, the racial breakdown comprises 94.9% White, 0.2% Black or African American, 0.3% Asian, 1.7% American Indian, and 0.1% Native Hawaiian, with 3.6% of the population identifying as Hispanic or Latino. 94.4% of households reported speaking English only, while 3.6% reported speaking Spanish only. Furthermore, 0.4% of residents were categorized as foreign-born.

Dillon 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 Dillon is 2,283 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?

Healthcare Planning: The analysis of Dillon 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: Urban planners could use Dillon 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 Dillon demographics for planning and development of affordable housing can help prevent displacement.

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 Dillon 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. Dillon 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.