| Statistic | Marion | Montana | National |
| Population | 1,041 | 1,068,778 | 328,239,523 |
| Population density (sq mi) | 62 | 7 | 91 |
| Median age | 48.0 | 39.8 | 37.7 |
| Male/Female ratio | 1.2:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 70% | 58% | 55% |
| Families w/ Kids under 18 | 27% | 40% | 43% |
| Speak English | 100% | 96% | 79% |
| Speak Spanish | 0% | 1% | 13% |
The demographics of Marion 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 1,041, Marion exhibits a population density of 62 people per square mile, contrasting with the national average of 91. The median age stands at 48, with 70% of individuals aged 15 or older being married and 27% having children under 18. In terms of income equality in Marion, 22% of households report a median income below $25,000, while 15% report an income exceeding $150,000, showcasing a diverse economic landscape.
The 5 largest ethnic groups in Marion are 94.9% White, 0% Black or African American, 0.4% Asian, 0.7% American Indian and 0% Native Hawaiian, with 2.2% of the population identifying as Hispanic or Latino. Of note, 99.6% of households reported speaking English only, while 0% reported speaking Spanish only. Additionally, 4% of residents were classified as foreign-born. The Marion racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.
Areas with lower than average population density like Marion, could offer a more relaxed pace of life, closer connection to nature, extraordinary sense of community, greater affordability and tend to be safer, making them attractive options for those seeking a quieter, more peaceful lifestyle away from the hustle and bustle of urban living. These areas often have a lower cost of living, with housing prices that are typically more affordable and residents may also benefit from lower taxes, living expenses and insurance rates. Low population density areas also tend to have lower crime rates compared to densely populated urban areas. This can contribute to a greater sense of safety and security for residents and their families. The Marion population density is 62 people per square mile, which is lower than 50% of the cities across the country, putting it in a position to take advantage of all these great benefits.
In a city like Marion with fewer children, there are numerous advantages tailored to a demographic where families with fewer or no children seek an ideal environment. These benefits may encompass a serene atmosphere, a heightened emphasis on amenities geared towards adults, reduced traffic congestion and enhanced affordability. Notably, one of the key advantages could be the wider availability of housing options designed to suit adult residents or smaller households. This may include a variety of housing types such as condominiums, apartments, or single-family homes tailored for couples or individuals without children, thereby offering a diverse range of choices for prospective buyers or renters. Areas with fewer children may also signal that the locale is conducive to retirees or seniors. In Marion, only 27% of the population consists of children under 18 years old, significantly below the national average. Additionally, 70% of residents aged over 15 are married. These demographics could suggest a promising environment for capitalizing on all the benefits of a city with fewer children.
Policy Planning: Demographic data and statistics serve as vital tools for informing policy and decision-making processes across various levels of government, as well as within organizations and businesses. Through the reporting and analysis of demographic data, policymakers, government officials, and organizational leaders can pinpoint areas of need, allocate resources efficiently, and craft tailored policies and programs to address the unique needs and priorities of different demographic groups. The utilization of demographic data in Marion is instrumental in policy planning, facilitating resource allocation, evidence-based decision-making, priority identification, trend forecasting, policy impact assessment, and the promotion of equity and inclusion. By harnessing this data effectively, policymakers can devise targeted, impactful, and inclusive policies that cater to the diverse needs of communities.
Social Cohesion: The examination and interpretation of demographics are pivotal for nurturing social cohesion and promoting understanding among diverse communities. By acknowledging and honoring differences in Marion demographics, societies can champion inclusivity, diversity and social cohesion while addressing social disparities and advocating for equitable opportunities. Racial demographics can potentially showcase the diversity of a population and are crucial for fostering inclusive and embracing communities. Embracing diversity fortifies social bonds, fosters cultural appreciation and enriches society by celebrating the contributions of individuals from diverse racial and ethnic backgrounds.
Healthcare Planning: Analyzing the demographic data in Marion has the potential to inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. Healthcare providers and policymakers can allocate resources more effectively, develop prevention and intervention programs and address health inequities within communities by understanding demographic trends. Leveraging demographic statistics can enable healthcare providers and policymakers to strive for equitable, accessible and high-quality healthcare for all individuals and communities. This proactive healthcare planning approach ensures targeted interventions, efficient resource allocation and tailored healthcare services to meet diverse population needs.
| Race | Marion | Montana | National |
| White | 94.91% | 89.11% | 73.35% |
| Black | 0.00% | 0.42% | 12.63% |
| Asian | 0.38% | 0.73% | 5.22% |
| American Indian | 0.67% | 6.57% | 0.82% |
| Native Hawaiian | 0.00% | 0.08% | 0.18% |
| Mixed race | 4.03% | 2.59% | 3.06% |
| Other race | 0.00% | 0.50% | 4.75% |
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