Statistic | Highland | Maryland | National |
Population | 1,086 | 6,045,680 | 328,239,523 |
Population density (sq mi) | 451 | 627 | 91 |
Median age | 45.5 | 38.3 | 37.7 |
Male/Female ratio | 1.0:1 | 0.9:1 | 1.0:1 |
Married (15yrs & older) | 77% | 54% | 55% |
Families w/ Kids under 18 | 53% | 44% | 43% |
Speak English | 62% | 82% | 79% |
Speak Spanish | 1% | 7% | 13% |
The population in Highland is 1,086, while the population density is 451 people per square mile, contrasting with the national average of 91. The median age stands at 45.5, with 77% of individuals aged 15 or older being married and 53% having children under 18. In terms of household income equality in Highland, 0% of households report a median income below $25,000, while 78% report an income exceeding $150,000. The Highland 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.
Recognizing the racial demographics and ethnicity breakdown of Highland is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Highland, the racial breakdown comprises 64.2% White, 1.7% Black or African American, 32.7% Asian, 0% American Indian, and 0% Native Hawaiian, with 2.2% of the population identifying as Hispanic or Latino. 62.5% of households reported speaking English only, while 1.5% reported speaking Spanish only. Furthermore, 22.4% of residents were categorized as foreign-born.
Areas like Highland, 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 Highland population density is 451 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.
Highland, 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 Highland, 53% of families have children under the age of 18, and 77% 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 can inform policy and decision-making processes at various levels of government, as well as in organizations and businesses. By reporting and analyzing Highland demographics data, policymakers, government officials and organizational leaders can identify areas of need, allocate resources effectively and develop targeted policies and programs that address the specific needs and priorities of different demographic groups. Highland demographics can play a crucial role in policy planning by informing resource allocation, evidence-based decision making, identifying priorities, forecasting future trends, monitoring policy impact and promoting equity and inclusion. By leveraging this data effectively, policymakers can develop policies that are targeted, effective and responsive to the needs of diverse communities.
Urban Development: Urban planners can leverage demographics data in Highland 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 Highland demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.
Understanding Populations: By delving into and analyzing the Highland demographic stats, we can uncover insightful details regarding the composition and attributes of populations, spanning age, gender, race, ethnicity, income, education and other socio-economic indicators. This comprehension is vital for addressing the diverse needs, preferences and hurdles faced by various demographic groups within communities. Demographics wield significant influence in understanding populations, shaping decision-making processes and championing equity, inclusion, and the overall welfare of all individuals and communities. The Highland population and demographic data serves as a cornerstone for tackling social, economic and environmental challenges, while simultaneously nurturing the well-being and resilience of societies.
Race | Highland | Maryland | National |
White | 64.18% | 57.19% | 73.35% |
Black | 1.66% | 29.63% | 12.63% |
Asian | 32.69% | 6.08% | 5.22% |
American Indian | 0.00% | 0.27% | 0.82% |
Native Hawaiian | 0.00% | 0.05% | 0.18% |
Mixed race | 1.47% | 3.12% | 3.06% |
Other race | 0.00% | 3.67% | 4.75% |