Statistic Old Forge Pennsylvania National
Population 8,150 13,262,738 336,919,644
Population density (sq mi) 2,387 296 91
Median age 45.7 40.6 37.7
Male/Female ratio 1.0:1 1.0:1 1.0:1
Married (15yrs & older) 49% 56% 55%
Families w/ Kids under 18 35% 40% 43%
Speak English 95% 89% 79%
Speak Spanish 4% 5% 13%
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Overview of Old Forge Demographics

The demographics of Old Forge 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 8,150, Old Forge exhibits a population density of 2,387 people per square mile, contrasting with the national average of 91. The median age stands at 45.7, with 49% of individuals aged 15 or older being married and 35% having children under 18. In terms of income equality in Old Forge, 20% of households report a median income below $25,000, while 12% report an income exceeding $150,000, showcasing a diverse economic landscape.

Old Forge Racial Demographics & Ethnicity

Understanding the Old Forge racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Old Forge, the racial breakdown indicates 91.2% White, 0.3% Black or African American, 0.7% Asian, 0.1% American Indian and 0% Native Hawaiian, with 9.6% of the population identifying as Hispanic or Latino. Notably, 94.6% of households reported speaking English only, while 3.9% reported speaking Spanish only. Additionally, 1.4% of residents were categorized as foreign-born.

Old Forge Population Density

The Old Forge population density comes in at 2,387 people per square mile, which makes it one of the most densely populated areas in the country, far surpassing the national average of 91. Areas characterized by high population density often boast an abundance of amenities and services within close proximity, providing residents with convenient access to healthcare, education, cultural attractions, dining establishments, retail outlets and transportation options. This accessibility could potentially enhance residents' overall quality of life and well-being.

Why are Demographics Important?

Education Allocation: Old Forge demographic data can help guide education planning by identifying student demographics, school enrollment trends and educational needs, helping schools and policymakers allocate resources and develop effective educational programs. It can be an essential tool for identifying disparities in educational access and outcomes among different demographic groups, such as racial and ethnic minorities, socio-economic status, or students with disabilities. By disaggregating data by demographic factors, education planners can identify areas of inequity and develop targeted interventions to improve access, support and outcomes for marginalized students. Overall, Old Forge demographic data is invaluable in education for promoting equity, supporting student success, and fostering inclusive learning environments that meet the needs of all students.

Policy Planning: At various levels of government and within organizations and businesses, demographic data and statistics serve as essential tools for guiding policy and decision-making processes. Through the examination and interpretation of Old Forge demographic stats and data, policymakers, government officials, and organizational leaders can pinpoint areas requiring attention, allocate resources judiciously and design policies and initiatives tailored to the specific needs and preferences of distinct demographic segments. The utilization of Old Forge demographic data plays a pivotal role in policy formulation by informing resource allocation, facilitating evidence-based decision-making, identifying key priorities, predicting future trends, assessing policy effectiveness, and advancing principles of equity and inclusivity. Through effective utilization of this data, policymakers can craft policies that are targeted, efficient, and responsive to the diverse needs of communities.

Understanding Populations: Reporting and analyzing the demographic data in Old Forge can allow us to gain insights into the characteristics and composition of populations, including age, gender, race, ethnicity, income, education and other socio-economic factors. This understanding is essential for addressing the diverse needs, preferences and challenges of different demographic groups within communities. Demographics can play a crucial role in understanding populations, informing decision-making processes and promoting equity, inclusion, and well-being for all individuals and communities. Old Forge population data serves as a foundation for addressing social, economic, and environmental challenges and promoting the well-being and resilience of societies.

Demographics Quick Facts

  • The population density in Old Forge is 705% higher than Pennsylvania
  • The median age in Old Forge is 13% higher than Pennsylvania
  • In Old Forge 91.23% of the population is White
  • In Old Forge 0.32% of the population is Black
  • In Old Forge 0.67% of the population is Asian

Compare Old Forge, PA Demographics

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      Old Forge racial demographics

      Race Old Forge Pennsylvania National
      White 91.23% 81.37% 73.35%
      Black 0.32% 11.03% 12.63%
      Asian 0.67% 3.14% 5.22%
      American Indian 0.09% 0.20% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 7.51% 2.24% 3.06%
      Other race 0.19% 1.98% 4.75%
      In Old Forge, 9.6% 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

      Old Forge age breakdown

      Marital status

      Age of children in married couples

      Source: The Old Forge, 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.