Statistic McConnellstown Pennsylvania National
Population 1,511 13,262,738 336,919,644
Population density (sq mi) 470 296 91
Median age 42.7 40.6 37.7
Male/Female ratio 0.9:1 1.0:1 1.0:1
Married (15yrs & older) 71% 56% 55%
Families w/ Kids under 18 32% 40% 43%
Speak English 97% 89% 79%
Speak Spanish 0% 5% 13%
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Overview of McConnellstown Demographics

The demographics of McConnellstown 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 1,511, McConnellstown exhibits a population density of 470 people per square mile, contrasting with the national average of 91. The median age stands at 42.7, with 71% of individuals aged 15 or older being married and 32% having children under 18. In terms of income equality in McConnellstown, 20% of households report a median income below $25,000, while 15% report an income exceeding $150,000, showcasing a diverse economic landscape.

McConnellstown Racial Demographics & Ethnicity

The McConnellstown 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 McConnellstown is 99.3% White, 0% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian - 0% of the population identify as Hispanic or Latino. Of all households, 96.9% reported speaking English only, while 0% reported speaking Spanish only. A total of 2% of residents were considered foreign born.

McConnellstown Population Density

Areas like McConnellstown, characterized by below-average population density, offer a quieter lifestyle, closer connection to nature, strong community ties, improved affordability and enhanced safety, appealing to individuals seeking a break from urban life. These regions often boast a more affordable cost of living, with housing prices typically more accessible and residents may benefit from lower taxes, living expenses and insurance rates. Low population density areas also tend to have lower crime rates compared to densely populated urban areas, contributing to a greater sense of security for residents and their families. The McConnellstown population density is 470 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.

Why are Demographics Important?

Understanding Populations: By delving into and analyzing the McConnellstown demographic stats, we can uncover insightful details regarding the composition and attributes of populations, spanning age, gender, race, ethnicity, income, education and other socio-economic indicators. This comprehension is vital for addressing the diverse needs, preferences and hurdles faced by various demographic groups within communities. Demographics wield significant influence in understanding populations, shaping decision-making processes and championing equity, inclusion, and the overall welfare of all individuals and communities. The McConnellstown population and demographic data serves as a cornerstone for tackling social, economic and environmental challenges, while simultaneously nurturing the well-being and resilience of societies.

Social Cohesion: The examination and interpretation of demographics are pivotal for nurturing social cohesion and promoting understanding among diverse communities. By acknowledging and honoring differences in McConnellstown demographics, societies can champion inclusivity, diversity and social cohesion while addressing social disparities and advocating for equitable opportunities. Racial demographics can potentially showcase the diversity of a population and are crucial for fostering inclusive and embracing communities. Embracing diversity fortifies social bonds, fosters cultural appreciation and enriches society by celebrating the contributions of individuals from diverse racial and ethnic backgrounds.

Healthcare Planning: The analysis of McConnellstown demographics can offer insights into healthcare planning and delivery, identifying population health needs, disparities and risk factors. By understanding demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs and address health inequities within communities. Through the use of demographic data and statistics, healthcare providers and policymakers aim to achieve equitable, accessible and high-quality healthcare for all individuals and communities. This proactive approach to healthcare planning ensures targeted interventions, efficient resource allocation and customized healthcare services to meet the diverse needs of populations.

Demographics Quick Facts

  • The population density in McConnellstown is 59% higher than Pennsylvania
  • The median age in McConnellstown is 5% higher than Pennsylvania
  • In McConnellstown 99.32% of the population is White
  • In McConnellstown 0.00% of the population is Black
  • In McConnellstown 0.00% of the population is Asian

Compare McConnellstown, PA Demographics

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      McConnellstown racial demographics

      Race McConnellstown Pennsylvania National
      White 99.32% 81.37% 73.35%
      Black 0.00% 11.03% 12.63%
      Asian 0.00% 3.14% 5.22%
      American Indian 0.00% 0.20% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 0.68% 2.24% 3.06%
      Other race 0.00% 1.98% 4.75%
      In McConnellstown, 0.0% 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

      McConnellstown age breakdown

      Marital status

      Age of children in married couples

      Source: The McConnellstown, 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.