Statistic Duncannon Pennsylvania National
Population 1,347 13,262,738 336,919,644
Population density (sq mi) 3,309 296 91
Median age 43.4 40.6 37.7
Male/Female ratio 0.9:1 1.0:1 1.0:1
Married (15yrs & older) 56% 56% 55%
Families w/ Kids under 18 38% 40% 43%
Speak English 94% 89% 79%
Speak Spanish 5% 5% 13%
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Overview of Duncannon Demographics

The demographics of Duncannon offer invaluable insights into the composition, dynamics and needs of both urban and rural areas, empowering planners, developers and policymakers to foster prosperity, equity, and well-being for all residents. With a population of 1,347, Duncannon exhibits a population density of 3,309 people per square mile, contrasting with the national average of 91. The median age stands at 43.4, with 56% of individuals aged 15 or older being married and 38% having children under 18. In terms of income equality in Duncannon, 24% of households report a median income below $25,000, while 8% report an income exceeding $150,000, showcasing a diverse economic landscape.

Duncannon Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Duncannon is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Duncannon, the racial breakdown comprises 91.6% White, 2.4% Black or African American, 0.9% Asian, 0.3% American Indian, and 0% Native Hawaiian, with 6.2% of the population identifying as Hispanic or Latino. 94% of households reported speaking English only, while 4.8% reported speaking Spanish only. Furthermore, 1.5% of residents were categorized as foreign-born.

Duncannon Population Density

High population density areas typically offer a diverse array of amenities and services within walking distance or a short commute, enriching residents' quality of life and well-being. Accessible healthcare facilities, educational institutions, cultural venues, restaurants, shopping and public transportation options contribute to the convenience and vibrancy of these communities. The population density of of Duncannon is 3,309 people per square mile, which far exceeds the national average of 91 and ranks among the most densely populated cities in the nation.

Why are Demographics Important?

Education Allocation: In education planning, Duncannon 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, Duncannon 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.

Healthcare Planning: Analyzing the demographic data in Duncannon has the potential to inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. Healthcare providers and policymakers can allocate resources more effectively, develop prevention and intervention programs and address health inequities within communities by understanding demographic trends. Leveraging demographic statistics can enable healthcare providers and policymakers to strive for 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 diverse population needs.

Urban Development: Duncannon demographic statistics are invaluable for urban planners in designing and developing areas that cater to residents' needs, encompassing housing, transportation, and public services, all while fostering sustainability and enhancing quality of life. Shifts in demographics can influence gentrification and neighborhood transformation, whether in urban or rural settings. As neighborhoods attract new residents with varying income levels and lifestyle preferences, property values may increase, potentially displacing long-term residents and altering the neighborhood's character. Analyzing population density, age distribution, household size, and income levels is crucial for guiding decisions regarding zoning, transportation infrastructure, housing expansion and public amenities. Utilizing Duncannon demographic data in planning and executing affordable housing initiatives can serve as a preventive measure against displacement.

Demographics Quick Facts

  • The population density in Duncannon is 1016% higher than Pennsylvania
  • The median age in Duncannon is 7% higher than Pennsylvania
  • In Duncannon 91.65% of the population is White
  • In Duncannon 2.38% of the population is Black
  • In Duncannon 0.92% of the population is Asian

Compare Duncannon, PA Demographics

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      Duncannon racial demographics

      Race Duncannon Pennsylvania National
      White 91.65% 81.37% 73.35%
      Black 2.38% 11.03% 12.63%
      Asian 0.92% 3.14% 5.22%
      American Indian 0.31% 0.20% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 4.75% 2.24% 3.06%
      Other race 0.00% 1.98% 4.75%
      In Duncannon, 6.2% 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

      Duncannon age breakdown

      Marital status

      Age of children in married couples

      Source: The Duncannon, PA 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.