| Statistic | Ocean Shores | Washington | National |
| Population | 6,432 | 7,794,858 | 336,919,644 |
| Population density (sq mi) | 755 | 117 | 91 |
| Median age | 62.4 | 37.6 | 37.7 |
| Male/Female ratio | 0.9:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 67% | 56% | 55% |
| Families w/ Kids under 18 | 18% | 44% | 43% |
| Speak English | 94% | 81% | 79% |
| Speak Spanish | 1% | 8% | 13% |
Ocean Shores 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 Ocean Shores population is 6,432 and has a population density of 755 people per square mile, compared to the national average of 91. The median age of all residents is 62.4, 67% of people 15 years of age or older are married and 18% have kids under the age of 18. In Ocean Shores, 25% of households have a median income that is below $25,000 and 3% of households report a median income above $150,000.
Recognizing the racial demographics and ethnicity breakdown of Ocean Shores is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Ocean Shores, the racial breakdown comprises 86.5% White, 0% Black or African American, 3.2% Asian, 2.5% American Indian, and 0% Native Hawaiian, with 4.5% of the population identifying as Hispanic or Latino. 93.8% of households reported speaking English only, while 1.2% reported speaking Spanish only. Furthermore, 7.1% of residents were categorized as foreign-born.
Areas like Ocean Shores, 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 Ocean Shores population density is 755 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.
Ocean Shores, a city with less children than average, presents numerous advantages tailored to a demographic where families with fewer or no children seek an optimal living environment. These advantages may encompass a tranquil ambiance, a heightened focus on amenities geared towards adults, reduced traffic congestion and enhanced affordability. Notably, one of the principal benefits could be the expanded availability of housing options designed to accommodate adult residents or smaller households. This could include various housing types such as condominiums, apartments, or single-family homes specifically tailored for couples or individuals without children, offering a diverse range of choices for potential buyers or renters. Areas with fewer children may also signify suitability for retirees or seniors. In Ocean Shores, only 18% of the population consists of children under 18 years old, significantly lower than the national average. Additionally, 67% of residents aged over 15 are married. These demographic patterns could suggest a promising environment for capitalizing on the benefits of a city with fewer children.
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 Ocean Shores 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.
Social Cohesion: Analyzing demographics is vital for nurturing social cohesion and fostering understanding among diverse communities. By embracing and respecting variations in Ocean Shores demographics, societies can advance inclusivity, diversity and social unity while combatting social inequalities and advocating for equal opportunities. Racial demographics mirror the diversity within a population and can be instrumental in cultivating inclusive and inviting communities. Embracing diversity strengthens social bonds, fosters cultural appreciation and enriches society by acknowledging the contributions of individuals from various racial and ethnic backgrounds.
Urban Development: Urban planners can leverage demographics data in Ocean Shores 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 Ocean Shores demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.
| Race | Ocean Shores | Washington | National |
| White | 86.54% | 77.34% | 73.35% |
| Black | 0.03% | 3.63% | 12.63% |
| Asian | 3.20% | 7.80% | 5.22% |
| American Indian | 2.50% | 1.33% | 0.82% |
| Native Hawaiian | 0.00% | 0.63% | 0.18% |
| Mixed race | 6.21% | 5.34% | 3.06% |
| Other race | 1.52% | 3.92% | 4.75% |
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