Statistic Oxford Indiana National
Population 1,397 6,996,062 336,919,644
Population density (sq mi) 2,583 195 91
Median age 42.7 37.4 37.7
Male/Female ratio 0.8:1 1.0:1 1.0:1
Married (15yrs & older) 44% 56% 55%
Families w/ Kids under 18 43% 43% 43%
Speak English 100% 92% 79%
Speak Spanish 0% 5% 13%
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Overview of Oxford Demographics

Oxford 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 Oxford population is 1,397 and has a population density of 2,583 people per square mile, compared to the national average of 91. The median age of all residents is 42.7, 44% of people 15 years of age or older are married and 43% have kids under the age of 18. In Oxford, 22% of households have a median income that is below $25,000 and 1% of households report a median income above $150,000.

Oxford Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Oxford is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Oxford, the racial breakdown comprises 99.6% White, 0% Black or African American, 0% Asian, 0% American Indian, and 0% Native Hawaiian, with 2.8% of the population identifying as Hispanic or Latino. 100% of households reported speaking English only, while 0% reported speaking Spanish only. Furthermore, 0.4% of residents were categorized as foreign-born.

Oxford Population Density

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 Oxford population density is 2,583 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.

Why are Demographics Important?

Education Allocation: In education planning, Oxford 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, Oxford 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.

Urban Development: Utilizing Oxford demographic statistics and data, urban planners can craft and develop areas that cater to local residents, encompassing housing, transportation and public services, all while emphasizing sustainability and enriching quality of life. Demographic transitions can contribute to gentrification and neighborhood evolution, whether in urban or rural environments. As neighborhoods draw in new residents with varying income levels and lifestyle preferences, property values may appreciate, potentially displacing longtime inhabitants and reshaping the neighborhood's fabric. Comprehensive insights into population density, age distribution, household size, and income levels are instrumental in guiding decisions regarding zoning, transportation infrastructure, housing expansion and public amenities. Harnessing Oxford demographic stats for planning and executing affordable housing initiatives can serve as a preventive measure against displacement.

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 Oxford 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.

Demographics Quick Facts

  • The population density in Oxford is 1223% higher than Indiana
  • The median age in Oxford is 14% higher than Indiana
  • In Oxford 99.63% of the population is White
  • In Oxford 0.00% of the population is Black
  • In Oxford 0.00% of the population is Asian

Compare Oxford, IN Demographics

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      Oxford racial demographics

      Race Oxford Indiana National
      White 99.63% 83.99% 73.35%
      Black 0.00% 9.23% 12.63%
      Asian 0.00% 1.98% 5.22%
      American Indian 0.00% 0.24% 0.82%
      Native Hawaiian 0.00% 0.04% 0.18%
      Mixed race 0.37% 2.22% 3.06%
      Other race 0.00% 2.30% 4.75%
      In Oxford, 2.8% of people are of Hispanic or Latino origin.
      Please note: Hispanics may be of any race, so also are included in any/all of the applicable race categories above.

      Household income distribution

      Place of birth by citizenship

      Oxford age breakdown

      Marital status

      Age of children in married couples

      Source: The Oxford, IN demographics data displayed above is derived from the United States Census Bureau American Community Survey (ACS) and include 2026 modeled data developed using proprietary methodologies.