| Statistic | Mangum | Oklahoma | National |
| Population | 2,848 | 4,054,437 | 336,919,644 |
| Population density (sq mi) | 1,628 | 59 | 91 |
| Median age | 38.3 | 36.2 | 37.7 |
| Male/Female ratio | 1.0:1 | 1.0:1 | 1.0:1 |
| Married (15yrs & older) | 62% | 58% | 55% |
| Families w/ Kids under 18 | 59% | 44% | 43% |
| Speak English | 91% | 90% | 79% |
| Speak Spanish | 9% | 7% | 13% |
The population in Mangum is 2,848, while the population density is 1,628 people per square mile, contrasting with the national average of 91. The median age stands at 38.3, with 62% of individuals aged 15 or older being married and 59% having children under 18. In terms of household income equality in Mangum, 35% of households report a median income below $25,000, while 3% report an income exceeding $150,000. The Mangum 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 Mangum racial demographics and ethnicity breakdown serves as a critical tool for understanding and addressing systemic inequities, promoting social justice and inclusion and building stronger, more resilient communities. The racial breakdown in Mangum is 86.4% White, 4.6% Black or African American, 0% Asian, 0.1% American Indian and 0% Native Hawaiian - 17% of the population identify as Hispanic or Latino. Of all households, 90.9% reported speaking English only, while 9.1% reported speaking Spanish only. A total of 1.6% of residents were considered foreign born.
Mangum has a population density that is well above-average, which plays a pivotal role in promoting environmental sustainability by reducing per capita energy consumption, greenhouse gas emissions and land use. Its compact urban development encourages energy-efficient buildings, active transportation modes like walking and cycling and the utilization of public transit, fostering sustainable lifestyles and mitigating environmental impact. Additionally, the area's dense population contributes to a vibrant social and cultural scene, featuring a diverse array of cultural events, festivals and community activities. This cultural diversity fuels creativity, innovation and cross-cultural exchange, enhancing the community's social fabric. Mangum has a population density of 1,628 people per square mile, exceeding the national average of 91 and positions itself in a good spot to reap the benefits of densely populated areas.
A family-friendly city like Mangum can prioritize the well-being and needs of families, creating an environment where children thrive, parents feel supported and families can enjoy a high quality of life together. Family-friendly cities are also known to foster a strong sense of community, with neighbors supporting and looking out for one another. These areas could also boast excellent educational opportunities, including high-quality schools, libraries and 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 Mangum, 59% of families have kids under the age of 18 and 62% of residents over 15 years old are married. These demographics put this area in a position to reap the benefits of a family-friendly area.
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 Mangum 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. Mangum 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.
Healthcare Planning: The examination of Mangum demographics can potentially inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. By comprehending demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs, and address health inequities within communities. Through the utilization of demographic statistics, healthcare providers and policymakers aim 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 tailored healthcare services to meet the diverse needs of populations.
Urban Development: Urban planners can leverage demographics data in Mangum 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 Mangum demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.
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| Race | Mangum | Oklahoma | National |
| White | 86.44% | 72.85% | 73.35% |
| Black | 4.56% | 7.26% | 12.63% |
| Asian | 0.00% | 2.00% | 5.22% |
| American Indian | 0.07% | 7.39% | 0.82% |
| Native Hawaiian | 0.00% | 0.13% | 0.18% |
| Mixed race | 4.92% | 7.73% | 3.06% |
| Other race | 4.01% | 2.64% | 4.75% |
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