| Statistic | Whitefish Bay | Wisconsin | National |
| Population | 13,890 | 5,822,434 | 328,239,523 |
| Population density (sq mi) | 6,566 | 108 | 91 |
| Median age | 40.1 | 39.1 | 37.7 |
| Male/Female ratio | 1.0:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 68% | 57% | 55% |
| Families w/ Kids under 18 | 57% | 43% | 43% |
| Speak English | 91% | 91% | 79% |
| Speak Spanish | 3% | 5% | 13% |
Understanding the demographics of Whitefish Bay is essential for gaining insights into the composition, dynamics and needs of any city, town or village. This knowledge empowers planners, developers and policymakers to strategize effectively, promoting prosperity, equity and well-being for all residents. The Whitefish Bay population is 13,890, with a population density of 6,566 people per square mile, diverging from the national average of 91. The median age is 40.1, and 68% of individuals aged 15 or older are married, while 57% have children under 18. As far as income equality in Whitefish Bay, 8% of households have a median income below $25,000, whereas 52% report an income exceeding $150,000, indicating a varied economic landscape within the area.
The Whitefish Bay racial demographics and ethnicity breakdown serves as a critical tool for understanding and addressing systemic inequities, promoting social justice and inclusion and building stronger, more resilient communities. The racial breakdown in Whitefish Bay is 85.9% White, 4.8% Black or African American, 4.9% Asian, 0.1% American Indian and 0% Native Hawaiian - 4.8% of the population identify as Hispanic or Latino. Of all households, 90.6% reported speaking English only, while 3% reported speaking Spanish only. A total of 7.9% of residents were considered foreign born.
The Whitefish Bay population density comes in at 6,566 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.
A family-friendly city like Whitefish Bay can place a strong emphasis on the well-being and requirements of families, establishing an atmosphere where children flourish, parents receive ample support and families collectively enjoy a superior quality of life. These cities are renowned for nurturing a tight-knit community, where neighbors actively support and watch out for each other. Additionally, they often feature outstanding educational opportunities, including top-tier schools, well-equipped libraries and diverse extracurricular activities. Access to quality education is indispensable for the holistic development and future achievements of children. By prioritizing the welfare of its inhabitants, such cities evolve into dynamic and resilient communities where families can genuinely thrive. In Whitefish Bay, 57% of families have children under the age of 18, and 68% of residents aged over 15 are married. These demographic characteristics position this locality to fully reap the rewards of being a family-friendly area.
Policy Planning: Demographic data and statistics serve as valuable tools for guiding policy and decision-making processes across government entities, organizations, and businesses. Through the analysis and interpretation of Whitefish Bay demographics, policymakers, government officials and organizational leaders can identify areas requiring attention, allocate resources strategically and develop policies and initiatives that cater to the unique needs and preferences of various demographic groups. Whitefish Bay demographic statistics can play a critical role in policy planning by informing resource allocation, enabling evidence-based decision-making, identifying priority areas, forecasting future trends, monitoring policy outcomes and fostering equity and inclusivity. By harnessing this data effectively, policymakers can craft policies that are targeted, efficient and equitable, thereby addressing the diverse needs of communities.
Healthcare Planning: Analyzing the demographic data in Whitefish Bay 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.
Understanding Populations: Analyzing and interpreting the Whitefish Bay demographic data provides us with valuable insights into the characteristics and composition of populations, encompassing age, gender, race, ethnicity, income, education and other socio-economic variables. This understanding is crucial for addressing the diverse needs, preferences and challenges encountered by various demographic groups within communities. Demographics play a crucial role in understanding populations, informing decision-making processes, and advancing equity, inclusion, and overall well-being for all individuals and communities. The Whitefish Bay population and demographic data serves as a foundation for addressing social, economic and environmental challenges, while also nurturing the well-being and resilience of societies.
| Race | Whitefish Bay | Wisconsin | National |
| White | 85.92% | 86.21% | 73.35% |
| Black | 4.81% | 6.29% | 12.63% |
| Asian | 4.92% | 2.57% | 5.22% |
| American Indian | 0.12% | 0.89% | 0.82% |
| Native Hawaiian | 0.04% | 0.02% | 0.18% |
| Mixed race | 2.46% | 2.19% | 3.06% |
| Other race | 1.74% | 1.83% | 4.75% |
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