| Statistic | Kenova | West Virginia | National |
| Population | 3,095 | 1,850,719 | 336,919,644 |
| Population density (sq mi) | 2,464 | 77 | 91 |
| Median age | 53.2 | 41.9 | 37.7 |
| Male/Female ratio | 0.7:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 59% | 59% | 55% |
| Families w/ Kids under 18 | 25% | 37% | 43% |
| Speak English | 100% | 98% | 79% |
| Speak Spanish | 0% | 1% | 13% |
The population of Kenova is 3,095, with a population density of 2,464 people per square mile, diverging from the national average of 91. The median age is 53.2 and 59% of individuals aged 15 or older are married, while 25% have children under 18. As far as income equality in Kenova goes, 37% of households have a median income below $25,000, whereas 2% report an income exceeding $150,000. The Kenova demographics data can provide indispensable insights into the composition, dynamics and needs of cities, towns or even villages, empowering planners, developers and policymakers to devise strategies that foster prosperity, equity and well-being for all residents.
The Kenova racial demographics and ethnicity breakdown could be indispensable tools for recognizing and rectifying systemic inequities, fostering social justice and inclusion and cultivating resilient communities. In Kenova, the racial breakdown reveals 98.6% White, 0.2% Black or African American, 0% Asian, 1.2% American Indian and 0% Native Hawaiian, with 0.6% of the population identifying as Hispanic or Latino. Of all households, 99.8% reported speaking English only, while 0.2% reported speaking Spanish only. Moreover, 0.8% of residents were classified as foreign-born.
Areas with a high population density tend to support a wide range of amenities and services within walking distance or a short commute. Residents tend to have convenient access to healthcare facilities, educational institutions, cultural venues, restaurants, shops and public transportation options, enhancing their quality of life and overall well-being. The Kenova population density is 2,464 people per square mile, which is well-above the national average of 91 and is considered one of the most densely populated cities in the country.
Kenova, characterized by a lower population of children, presents numerous advantages tailored to a demographic where families with fewer or no children seek an optimal environment. These benefits may include a tranquil setting, a heightened emphasis on amenities aimed at adults, decreased traffic congestion and improved affordability. Notably, one of the primary benefits could be the wider availability of housing options designed to accommodate adult residents or smaller households. This might encompass various housing types like condominiums, apartments, or single-family homes tailored for couples or individuals without children, offering a diverse array of choices for prospective buyers or renters. Areas with fewer children may also indicate suitability for retirees or seniors. In Kenova, only 25% of the population have children under 18 years old, well below the national average. Furthermore, 59% of residents aged over 15 are married. These demographic indicators could suggest a favorable landscape for leveraging the benefits of a city with fewer children.
Urban Development: Kenova demographic statistics are invaluable for urban planners in designing and developing areas that cater to residents' needs, encompassing housing, transportation, and public services, all while fostering sustainability and enhancing quality of life. Shifts in demographics can influence gentrification and neighborhood transformation, whether in urban or rural settings. As neighborhoods attract new residents with varying income levels and lifestyle preferences, property values may increase, potentially displacing long-term residents and altering the neighborhood's character. Analyzing population density, age distribution, household size, and income levels is crucial for guiding decisions regarding zoning, transportation infrastructure, housing expansion and public amenities. Utilizing Kenova demographic data in planning and executing affordable housing initiatives can serve as a preventive measure against displacement.
Healthcare Planning: By analyzing the Kenova 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: 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 Kenova 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.
| Race | Kenova | West Virginia | National |
| White | 98.64% | 93.46% | 73.35% |
| Black | 0.17% | 3.43% | 12.63% |
| Asian | 0.00% | 0.76% | 5.22% |
| American Indian | 1.20% | 0.18% | 0.82% |
| Native Hawaiian | 0.00% | 0.04% | 0.18% |
| Mixed race | 0.00% | 1.83% | 3.06% |
| Other race | 0.00% | 0.31% | 4.75% |
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