Statistic | Manila | Arkansas | National |
Population | 3,340 | 3,017,825 | 328,239,523 |
Population density (sq mi) | 884 | 58 | 91 |
Median age | 32.1 | 37.7 | 37.7 |
Male/Female ratio | 1.0:1 | 1.0:1 | 1.0:1 |
Married (15yrs & older) | 65% | 58% | 55% |
Families w/ Kids under 18 | 62% | 42% | 43% |
Speak English | 100% | 93% | 79% |
Speak Spanish | 0% | 5% | 13% |
The population in Manila is 3,340, while the population density is 884 people per square mile, contrasting with the national average of 91. The median age stands at 32.1, with 65% of individuals aged 15 or older being married and 62% having children under 18. In terms of household income equality in Manila, 18% of households report a median income below $25,000, while 32% report an income exceeding $150,000. The Manila demographics data can provide invaluable insight into the composition, dynamics and needs of urban and rural areas, enabling planners, developers and policymakers to strategize effectively for the promotion of prosperity, equity and well-being for all residents in the area.
Understanding the Manila racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Manila, the racial breakdown indicates 99.3% White, 0.2% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian, with 0% of the population identifying as Hispanic or Latino. Notably, 99.7% of households reported speaking English only, while 0% reported speaking Spanish only. Additionally, 0% of residents were categorized as foreign-born.
Manila could serve as a prime example of how areas with higher-than-average population density can champion environmental sustainability by reducing per capita energy consumption, greenhouse gas emissions and land use. Embracing compact urban development, these densely populated areas promote energy-efficient buildings and encourages walking, cycling and public transit use, fostering sustainable lifestyles and minimizing environmental impact. Moreover, densely populated regions are renowned for their vibrant social and cultural scenes, driven by a diverse population that organizes an array of cultural events, festivals and community activities. This cultural diversity ignites creativity, innovation and cross-cultural exchange, enriching the social fabric of the community. The Manila population density is 884, surpassing the national average of 91 per square miles, positioning itself to capitalize on the advantages of dense urban living.
A family-friendly city like Manila prioritizes the well-being and requirements of families, creating an atmosphere conducive to the flourishing of children, the support of parents and the collective enjoyment of a superior quality of life. These cities are characterized by their fostering of strong community bonds, where neighbors actively support and watch out for one another. Additionally, they often offer outstanding educational opportunities, including top-tier schools, well-stocked libraries and diverse extracurricular activities. Access to quality education is indispensable for the holistic development and future achievements of children. By giving precedence to the welfare of its inhabitants, such cities transform into vibrant and resilient communities where families can truly thrive. In Manila, 62% of families have children under the age of 18, and 65% of residents aged over 15 are married. These demographic characteristics position this area to fully reap the benefits of being a family-friendly area.
Understanding Populations: Reporting and analyzing the demographic data in Manila can allow us to gain insights into the characteristics and composition of populations, including age, gender, race, ethnicity, income, education and other socio-economic factors. This understanding is essential for addressing the diverse needs, preferences and challenges of different demographic groups within communities. Demographics can play a crucial role in understanding populations, informing decision-making processes and promoting equity, inclusion, and well-being for all individuals and communities. Manila population data serves as a foundation for addressing social, economic, and environmental challenges and promoting the well-being and resilience of societies.
Urban Development: Manila 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 Manila demographic data in planning and executing affordable housing initiatives can serve as a preventive measure against displacement.
Healthcare Planning: An analysis of Manila demographics can inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. Understanding demographic trends allows healthcare providers and policymakers to allocate resources effectively, develop prevention and intervention programs and address health inequities within communities. Leveraging demographic data, healthcare providers, and policymakers strive 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 customized healthcare services to meet the diverse needs of populations.
Race | Manila | Arkansas | National |
White | 99.31% | 77.72% | 73.35% |
Black | 0.21% | 15.52% | 12.63% |
Asian | 0.00% | 1.40% | 5.22% |
American Indian | 0.00% | 0.63% | 0.82% |
Native Hawaiian | 0.00% | 0.23% | 0.18% |
Mixed race | 0.48% | 2.23% | 3.06% |
Other race | 0.00% | 2.28% | 4.75% |