| Statistic | Wilson | Pennsylvania | National |
| Population | 7,809 | 12,801,989 | 328,239,523 |
| Population density (sq mi) | 6,759 | 287 | 91 |
| Median age | 33.5 | 40.6 | 37.7 |
| Male/Female ratio | 1.1:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 53% | 56% | 55% |
| Families w/ Kids under 18 | 43% | 40% | 43% |
| Speak English | 71% | 89% | 79% |
| Speak Spanish | 23% | 5% | 13% |
The demographics of Wilson 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 7,809, Wilson exhibits a population density of 6,759 people per square mile, contrasting with the national average of 91. The median age stands at 33.5, with 53% of individuals aged 15 or older being married and 43% having children under 18. In terms of income equality in Wilson, 11% of households report a median income below $25,000, while 13% report an income exceeding $150,000, showcasing a diverse economic landscape.
The Wilson 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 Wilson, the racial breakdown reveals 70.6% White, 11.1% Black or African American, 3.8% Asian, 0% American Indian and 0% Native Hawaiian, with 28.8% of the population identifying as Hispanic or Latino. Of all households, 71.5% reported speaking English only, while 22.8% reported speaking Spanish only. Moreover, 12.9% of residents were classified as foreign-born.
The Wilson population density comes in at 6,759 people per square mile, which makes it one of the most densely populated areas in the country, far surpassing the national average of 91. Areas characterized by high population density often boast an abundance of amenities and services within close proximity, providing residents with convenient access to healthcare, education, cultural attractions, dining establishments, retail outlets and transportation options. This accessibility could potentially enhance residents' overall quality of life and well-being.
Healthcare Planning: The examination of Wilson demographics can potentially inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. By comprehending demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs, and address health inequities within communities. Through the utilization of demographic statistics, healthcare providers and policymakers aim to achieve 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 the diverse needs of populations.
Education Allocation: In education planning, Wilson demographic data can be invaluable for identifying student demographics, school enrollment trends and educational needs. This data aids schools and policymakers in resource allocation and the formulation of effective educational programs. It serves as a crucial tool for recognizing disparities in educational access and outcomes among different demographic groups, including racial and ethnic minorities, socio-economic status and students with disabilities. Through the disaggregation of data by demographic factors, education planners can pinpoint areas of inequity and implement targeted interventions to enhance access, support, and outcomes for marginalized students. Overall, Wilson demographic data can be an essential tool in education for promoting equity, facilitating student success, and nurturing inclusive learning environments that cater to the needs of all students.
Urban Development: By leveraging demographic data in Wilson, 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 | Wilson | Pennsylvania | National |
| White | 70.57% | 81.37% | 73.35% |
| Black | 11.13% | 11.03% | 12.63% |
| Asian | 3.80% | 3.14% | 5.22% |
| American Indian | 0.00% | 0.20% | 0.82% |
| Native Hawaiian | 0.00% | 0.03% | 0.18% |
| Mixed race | 6.45% | 2.24% | 3.06% |
| Other race | 8.04% | 1.98% | 4.75% |
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