| Statistic | Beaver | West Virginia | National |
| Population | 1,365 | 1,792,147 | 328,239,523 |
| Population density (sq mi) | 313 | 74 | 91 |
| Median age | 48.1 | 41.9 | 37.7 |
| Male/Female ratio | 0.7:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 61% | 59% | 55% |
| Families w/ Kids under 18 | 25% | 37% | 43% |
| Speak English | 100% | 98% | 79% |
| Speak Spanish | 0% | 1% | 13% |
The demographics of Beaver 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 1,365, Beaver exhibits a population density of 313 people per square mile, contrasting with the national average of 91. The median age stands at 48.1, with 61% of individuals aged 15 or older being married and 25% having children under 18. In terms of income equality in Beaver, 19% of households report a median income below $25,000, while 0% report an income exceeding $150,000, showcasing a diverse economic landscape.
The 5 largest ethnic groups in Beaver are 83.5% White, 0% Black or African American, 0% Asian, 12.1% American Indian and 0% Native Hawaiian, with 0% of the population identifying as Hispanic or Latino. Of note, 100% of households reported speaking English only, while 0% reported speaking Spanish only. Additionally, 12.1% of residents were classified as foreign-born. The Beaver racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.
Areas like Beaver, characterized by below-average population density, offer a quieter lifestyle, closer connection to nature, strong community ties, improved affordability and enhanced safety, appealing to individuals seeking a break from urban life. These regions often boast a more affordable cost of living, with housing prices typically more accessible and residents may 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, contributing to a greater sense of security for residents and their families. The Beaver population density is 313 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.
In a city like Beaver 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 Beaver, only 25% of the population consists of children under 18 years old, significantly below the national average. Additionally, 61% 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 can inform policy and decision-making processes at various levels of government, as well as in organizations and businesses. By reporting and analyzing Beaver 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. Beaver 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.
Healthcare Planning: The analysis of Beaver 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: By leveraging demographic data in Beaver, urban planners can tailor areas to meet the needs of any resident across housing, transportation and public services, all while fostering sustainability and elevating quality of life. Demographic changes can fuel gentrification and neighborhood transformation, whether in urban or rural settings. As neighborhoods attract newcomers with varying income levels and lifestyle preferences, property values may appreciate, potentially displacing established residents and reshaping the neighborhood's fabric. A nuanced understanding of population density, age distribution, household size and income levels is pivotal for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Utilizing the demographic data in planning and implementing affordable housing initiatives can help mitigate displacement risks and promote inclusive communities.
| Race | Beaver | West Virginia | National |
| White | 83.52% | 93.46% | 73.35% |
| Black | 0.00% | 3.43% | 12.63% |
| Asian | 0.00% | 0.76% | 5.22% |
| American Indian | 12.09% | 0.18% | 0.82% |
| Native Hawaiian | 0.00% | 0.04% | 0.18% |
| Mixed race | 4.40% | 1.83% | 3.06% |
| Other race | 0.00% | 0.31% | 4.75% |
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