Statistic | Payne | Ohio | National |
Population | 1,399 | 11,689,100 | 328,239,523 |
Population density (sq mi) | 2,062 | 288 | 91 |
Median age | 30.8 | 39.3 | 37.7 |
Male/Female ratio | 0.9:1 | 1.0:1 | 1.0:1 |
Married (15yrs & older) | 54% | 56% | 55% |
Families w/ Kids under 18 | 43% | 42% | 43% |
Speak English | 99% | 93% | 79% |
Speak Spanish | 0% | 2% | 13% |
Payne demographics provide invaluable insights into the composition, dynamics and needs of urban and rural areas, enabling them to plan, develop, and govern in ways that promote prosperity, equity and well-being for all residents. The Payne population is 1,399 and has a population density of 2,062 people per square mile, compared to the national average of 91. The median age of all residents is 30.8, 54% of people 15 years of age or older are married and 43% have kids under the age of 18. In Payne, 24% of households have a median income that is below $25,000 and 2% of households report a median income above $150,000.
Understanding the Payne racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Payne, the racial breakdown indicates 94.1% White, 1.4% Black or African American, 0.6% Asian, 0.2% American Indian and 0% Native Hawaiian, with 0.8% of the population identifying as Hispanic or Latino. Notably, 99.2% of households reported speaking English only, while 0% reported speaking Spanish only. Additionally, 0.6% of residents were categorized as foreign-born.
Areas with a high population density tend to support a wide range of amenities and services within walking distance or a short commute. Residents tend to have convenient access to healthcare facilities, educational institutions, cultural venues, restaurants, shops and public transportation options, enhancing their quality of life and overall well-being. The Payne population density is 2,062 people per square mile, which is well-above the national average of 91 and is considered one of the most densely populated cities in the country.
Urban Development: Urban planners can leverage demographics data in Payne 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 Payne demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.
Policy Planning: Demographic data and statistics serve as valuable tools for guiding policy and decision-making processes across government entities, organizations, and businesses. Through the analysis and interpretation of Payne demographics, policymakers, government officials and organizational leaders can identify areas requiring attention, allocate resources strategically and develop policies and initiatives that cater to the unique needs and preferences of various demographic groups. Payne demographic statistics can play a critical role in policy planning by informing resource allocation, enabling evidence-based decision-making, identifying priority areas, forecasting future trends, monitoring policy outcomes and fostering equity and inclusivity. By harnessing this data effectively, policymakers can craft policies that are targeted, efficient and equitable, thereby addressing the diverse needs of communities.
Education Allocation: In education planning, Payne demographic data can be invaluable for identifying student demographics, school enrollment trends and educational needs. This data aids schools and policymakers in resource allocation and the formulation of effective educational programs. It serves as a crucial tool for recognizing disparities in educational access and outcomes among different demographic groups, including racial and ethnic minorities, socio-economic status and students with disabilities. Through the disaggregation of data by demographic factors, education planners can pinpoint areas of inequity and implement targeted interventions to enhance access, support, and outcomes for marginalized students. Overall, Payne demographic data can be an essential tool in education for promoting equity, facilitating student success, and nurturing inclusive learning environments that cater to the needs of all students.
Race | Payne | Ohio | National |
White | 94.14% | 82.16% | 73.35% |
Black | 1.36% | 12.27% | 12.63% |
Asian | 0.57% | 1.94% | 5.22% |
American Indian | 0.21% | 0.19% | 0.82% |
Native Hawaiian | 0.00% | 0.03% | 0.18% |
Mixed race | 3.15% | 2.57% | 3.06% |
Other race | 0.57% | 0.85% | 4.75% |