Orland Hills, IL Demographics

Overview of Orland Hills Demographics

The population in Orland Hills is 7,069, while the population density is 6,175 people per square mile, contrasting with the national average of 91. The median age stands at 37.3, with 58% of individuals aged 15 or older being married and 38% having children under 18. In terms of household income equality in Orland Hills, 8% of households report a median income below $25,000, while 32% report an income exceeding $150,000. The Orland Hills 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.

Orland Hills Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Orland Hills is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Orland Hills, the racial breakdown comprises 87.3% White, 7.8% Black or African American, 1% Asian, 0% American Indian, and 0% Native Hawaiian, with 10.4% of the population identifying as Hispanic or Latino. 77.1% of households reported speaking English only, while 6.1% reported speaking Spanish only. Furthermore, 11.3% of residents were categorized as foreign-born.

Orland Hills Population Density

In areas with high population density, residents enjoy a wealth of amenities and services conveniently located within walking distance or a short commute. Access to healthcare facilities, educational institutions, cultural venues, dining options, retail stores and public transit enhances residents' quality of life and overall well-being. Orland Hills has a population density of 6,175 people per square mile, which far exceeds the national average of 91 and ranks among the most densely populated cities in the country.

Why are Demographics Important?

Understanding Populations: By delving into and analyzing the Orland Hills 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 Orland Hills 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.

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 Orland Hills 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.

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 Orland Hills 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.