Statistic Pittsburgh Pennsylvania National
Population 310,293 13,262,738 336,919,644
Population density (sq mi) 5,603 296 91
Median age 33.4 40.6 37.7
Male/Female ratio 1.0:1 1.0:1 1.0:1
Married (15yrs & older) 38% 56% 55%
Families w/ Kids under 18 37% 40% 43%
Speak English 89% 89% 79%
Speak Spanish 2% 5% 13%
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Local Insights Report

Overview of Pittsburgh Demographics

The population of Pittsburgh is 310,293, with a population density of 5,603 people per square mile, diverging from the national average of 91. The median age is 33.4 and 38% of individuals aged 15 or older are married, while 37% have children under 18. As far as income equality in Pittsburgh goes, 27% of households have a median income below $25,000, whereas 15% report an income exceeding $150,000. The Pittsburgh demographics data can provide indispensable insights into the composition, dynamics and needs of cities, towns or even villages, empowering planners, developers and policymakers to devise strategies that foster prosperity, equity and well-being for all residents.

Pittsburgh Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Pittsburgh is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Pittsburgh, the racial breakdown comprises 66.4% White, 23% Black or African American, 5.8% Asian, 0.2% American Indian, and 0.1% Native Hawaiian, with 3.4% of the population identifying as Hispanic or Latino. 88.7% of households reported speaking English only, while 2.3% reported speaking Spanish only. Furthermore, 9% of residents were categorized as foreign-born.

Pittsburgh Population Density

The Pittsburgh population density comes in at 5,603 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?

Healthcare Planning: The analysis of Pittsburgh 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.

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 Pittsburgh 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 Pittsburgh 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.

Education Allocation: Education planning benefits significantly from Pittsburgh demographic information, which helps identify student demographics, school enrollment trends, and educational needs. This data assists schools and policymakers in allocating resources effectively and devising impactful educational programs. It serves as a vital tool for recognizing disparities in educational access and outcomes among diverse demographic groups, including racial and ethnic minorities, socio-economic status, and students with disabilities. By disaggregating data based on demographic factors, education planners can pinpoint areas of inequity and implement targeted interventions to improve access, support, and outcomes for marginalized students. Ultimately, Pittsburgh demographic data is essential in education for advancing equity, fostering student success, and cultivating inclusive learning environments tailored to meet the needs of all students.

Demographics Quick Facts

  • The population density in Pittsburgh is 1790% higher than Pennsylvania
  • The median age in Pittsburgh is 18% lower than Pennsylvania
  • In Pittsburgh 66.37% of the population is White
  • In Pittsburgh 22.98% of the population is Black
  • In Pittsburgh 5.83% of the population is Asian

Compare Pittsburgh, PA Demographics

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      Pittsburgh racial demographics

      Race Pittsburgh Pennsylvania National
      White 66.37% 81.37% 73.35%
      Black 22.98% 11.03% 12.63%
      Asian 5.83% 3.14% 5.22%
      American Indian 0.19% 0.20% 0.82%
      Native Hawaiian 0.06% 0.03% 0.18%
      Mixed race 3.62% 2.24% 3.06%
      Other race 0.95% 1.98% 4.75%
      In Pittsburgh, 3.4% 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

      Pittsburgh age breakdown

      Marital status

      Age of children in married couples

      Source: The Pittsburgh, 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.