| Statistic | Lima | Pennsylvania | National |
| Population | 2,102 | 13,262,738 | 336,919,644 |
| Population density (sq mi) | 1,430 | 296 | 91 |
| Median age | 78.6 | 40.6 | 37.7 |
| Male/Female ratio | 0.4:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 73% | 56% | 55% |
| Families w/ Kids under 18 | 28% | 40% | 43% |
| Speak English | 95% | 89% | 79% |
| Speak Spanish | 0% | 5% | 13% |
The population in Lima is 2,102, while the population density is 1,430 people per square mile, contrasting with the national average of 91. The median age stands at 78.6, with 73% of individuals aged 15 or older being married and 28% having children under 18. In terms of household income equality in Lima, 47% of households report a median income below $25,000, while 10% report an income exceeding $150,000. The Lima 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.
The 5 largest ethnic groups in Lima are 97.3% White, 1.9% Black or African American, 0.8% Asian, 0% American Indian and 0% Native Hawaiian, with 2.7% of the population identifying as Hispanic or Latino. Of note, 95.2% of households reported speaking English only, while 0.3% reported speaking Spanish only. Additionally, 3% of residents were classified as foreign-born. The Lima racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.
Lima 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 Lima population density is 1,430, surpassing the national average of 91 per square miles, positioning itself to capitalize on the advantages of dense urban living.
A city with fewer children like Lima can offer several benefits, catering to a demographic where families with fewer or no children may find an ideal environment. The advantages could include a quiet environment, increased focus on adult-oriented amenities, reduced traffic and increased affordability. Perhaps the biggest benefit could be a greater availability of housing options that cater to adult residents or smaller households. This could include more condominiums, apartments, or single-family homes designed for couples or individuals without children, providing a wider range of choices for prospective homebuyers or renters. Areas with fewer kids could also be an indication that this area could be a suitable area for retirees or seniors. In Lima, only 28% of people have kids under the age of 18, which is far less than the national average. Another 73% of residents over 15 years old are married. This bodes well for taking advantage of all the benefits of an area where less kids are present.
Urban Development: By leveraging demographic data in Lima, 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.
Healthcare Planning: Analyzing the demographic data in Lima 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.
Social Cohesion: The analysis and understanding of demographics are essential for promoting social cohesion and fostering appreciation among diverse communities. By embracing and acknowledging differences in Lima demographics, societies can promote inclusivity, diversity and social harmony while addressing social inequalities and advocating for equal opportunities. Racial demographics can reflect the diversity within a population and are instrumental in fostering inclusive and welcoming communities. Embracing ethnic diversity strengthens social connections, promotes cultural understanding and enriches society by celebrating the contributions of individuals from diverse racial and ethnic backgrounds.
| Race | Lima | Pennsylvania | National |
| White | 97.32% | 81.37% | 73.35% |
| Black | 1.85% | 11.03% | 12.63% |
| Asian | 0.83% | 3.14% | 5.22% |
| American Indian | 0.00% | 0.20% | 0.82% |
| Native Hawaiian | 0.00% | 0.03% | 0.18% |
| Mixed race | 0.00% | 2.24% | 3.06% |
| Other race | 0.00% | 1.98% | 4.75% |
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