Statistic Langhorne Pennsylvania National
Population 1,661 13,262,738 336,919,644
Population density (sq mi) 3,376 296 91
Median age 46.2 40.6 37.7
Male/Female ratio 1.1:1 1.0:1 1.0:1
Married (15yrs & older) 49% 56% 55%
Families w/ Kids under 18 30% 40% 43%
Speak English 96% 89% 79%
Speak Spanish 1% 5% 13%
See Who Lives in the Area Before Buying! Local Insights Report
  • Know the community before you call it home
  • Get clear insights into age, income, education, etc.
  • Access over 300 data points for any address
Local Insights Report

Overview of Langhorne Demographics

The demographics of Langhorne 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 1,661, Langhorne exhibits a population density of 3,376 people per square mile, contrasting with the national average of 91. The median age stands at 46.2, with 49% of individuals aged 15 or older being married and 30% having children under 18. In terms of income equality in Langhorne, 15% of households report a median income below $25,000, while 30% report an income exceeding $150,000, showcasing a diverse economic landscape.

Langhorne Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Langhorne is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Langhorne, the racial breakdown comprises 90.5% White, 5.2% Black or African American, 1.4% Asian, 0% American Indian, and 0% Native Hawaiian, with 2.9% of the population identifying as Hispanic or Latino. 96.1% of households reported speaking English only, while 0.7% reported speaking Spanish only. Furthermore, 2.5% of residents were categorized as foreign-born.

Langhorne Population Density

The Langhorne population density comes in at 3,376 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?

Policy Planning: Demographic data and statistics play a fundamental role in informing policy and decision-making processes across government entities, organizations and businesses. Through the analysis and interpretation of Langhorne demographic data, policymakers, government officials, and organizational leaders can pinpoint areas of concern, allocate resources efficiently, and devise policies and initiatives tailored to the specific needs and preferences of distinct demographic groups. The utilization of demographics in Langhorne can be crucial in policy planning, facilitating evidence-based decision-making, identifying key priorities, forecasting future trends, monitoring policy outcomes and advancing principles of equity and inclusion. By harnessing this data effectively, policymakers can develop policies that are targeted, effective and inclusive, thus meeting the diverse needs of communities.

Social Cohesion: Reporting and analyzing demographics can play a crucial role in fostering social cohesion and understanding among diverse communities. By recognizing and appreciating differences in Langhorne demographics, societies can promote inclusivity, diversity and social harmony, while addressing social disparities and promoting equal opportunities for all individuals. Racial demographics reflect the diversity of a population and contribute to fostering inclusive and welcoming communities. Embracing diversity strengthens social cohesion, promotes cultural understanding and enriches the fabric of society by celebrating the contributions of individuals from different racial and ethnic backgrounds.

Healthcare Planning: The analysis of Langhorne 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 Langhorne is 1039% higher than Pennsylvania
  • The median age in Langhorne is 14% higher than Pennsylvania
  • In Langhorne 90.47% of the population is White
  • In Langhorne 5.20% of the population is Black
  • In Langhorne 1.42% of the population is Asian

Compare Langhorne, PA Demographics

City Image
    City Default Image
      vs

      Langhorne racial demographics

      Race Langhorne Pennsylvania National
      White 90.47% 81.37% 73.35%
      Black 5.20% 11.03% 12.63%
      Asian 1.42% 3.14% 5.22%
      American Indian 0.00% 0.20% 0.82%
      Native Hawaiian 0.00% 0.03% 0.18%
      Mixed race 2.91% 2.24% 3.06%
      Other race 0.00% 1.98% 4.75%
      In Langhorne, 2.9% 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

      Langhorne age breakdown

      Marital status

      Age of children in married couples

      Source: The Langhorne, 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.