| Statistic | Spring Lake | North Carolina | National |
| Population | 12,093 | 10,488,084 | 328,239,523 |
| Population density (sq mi) | 512 | 218 | 91 |
| Median age | 25.5 | 38.3 | 37.7 |
| Male/Female ratio | 1.1:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 47% | 57% | 55% |
| Families w/ Kids under 18 | 51% | 43% | 43% |
| Speak English | 87% | 89% | 79% |
| Speak Spanish | 8% | 7% | 13% |
Spring Lake demographics provide invaluable insights into the composition, dynamics and needs of urban and rural areas, enabling them to plan, develop, and govern in ways that promote prosperity, equity and well-being for all residents. The Spring Lake population is 12,093 and has a population density of 512 people per square mile, compared to the national average of 91. The median age of all residents is 25.5, 47% of people 15 years of age or older are married and 51% have kids under the age of 18. In Spring Lake, 35% of households have a median income that is below $25,000 and 5% of households report a median income above $150,000.
The Spring Lake 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 Spring Lake is 44.6% White, 35.3% Black or African American, 2.7% Asian, 1% American Indian and 0.4% Native Hawaiian - 17% of the population identify as Hispanic or Latino. Of all households, 87.2% reported speaking English only, while 8.3% reported speaking Spanish only. A total of 4.4% of residents were considered foreign born.
Areas like Spring Lake, 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 Spring Lake population density is 512 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.
Spring Lake, as a family-friendly city, places a significant emphasis on the well-being and needs of families, fostering an environment where children thrive, parents feel supported and families can collectively enjoy a high quality of life. These cities are characterized by their strong sense of community, with neighbors actively supporting and looking out for one another. Additionally, they often offer exceptional educational opportunities, including top-quality schools, well-stocked libraries and diverse extracurricular activities. Access to quality education is essential for children's development and future success. By prioritizing the well-being of its residents, such cities become vibrant and resilient communities where families can truly flourish. In Spring Lake, 51% of families have children under the age of 18, and 47% of residents aged over 15 are married. These demographics position this area to reap the benefits of being a family-friendly locality.
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 Spring Lake 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. Spring Lake 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: By analyzing the Spring Lake 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.
Urban Development: Urban planners can leverage demographics data in Spring Lake to design and develop areas that cater to residents' needs, spanning housing, transportation, and public services, while prioritizing sustainability and enhancing quality of life. Demographic changes can contribute to gentrification and neighborhood evolution, whether in urban or rural contexts. As neighborhoods attract new residents with diverse income levels and lifestyle preferences, property values may appreciate, potentially displacing longstanding residents and reshaping the neighborhood's identity. Understanding population density, age distribution, household size and income levels is essential for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Incorporating Spring Lake demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.
| Race | Spring Lake | North Carolina | National |
| White | 44.63% | 69.24% | 73.35% |
| Black | 35.31% | 21.50% | 12.63% |
| Asian | 2.71% | 2.56% | 5.22% |
| American Indian | 1.01% | 1.18% | 0.82% |
| Native Hawaiian | 0.37% | 0.07% | 0.18% |
| Mixed race | 10.34% | 2.45% | 3.06% |
| Other race | 5.62% | 3.01% | 4.75% |
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