Statistic San Bruno California National
Population 45,907 40,994,941 336,919,644
Population density (sq mi) 8,386 263 91
Median age 38.8 36.0 37.7
Male/Female ratio 1.0:1 1.0:1 1.0:1
Married (15yrs & older) 55% 52% 55%
Families w/ Kids under 18 39% 46% 43%
Speak English 49% 56% 79%
Speak Spanish 22% 29% 13%
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Overview of San Bruno Demographics

The population in San Bruno is 45,907, while the population density is 8,386 people per square mile, contrasting with the national average of 91. The median age stands at 38.8, with 55% of individuals aged 15 or older being married and 39% having children under 18. In terms of household income equality in San Bruno, 9% of households report a median income below $25,000, while 45% report an income exceeding $150,000. The San Bruno demographics data can provide invaluable insight into the composition, dynamics and needs of urban and rural areas, enabling planners, developers and policymakers to strategize effectively for the promotion of prosperity, equity and well-being for all residents in the area.

San Bruno Racial Demographics & Ethnicity

The 5 largest ethnic groups in San Bruno are 42.1% White, 0.8% Black or African American, 31.2% Asian, 0.1% American Indian and 2.9% Native Hawaiian, with 30% of the population identifying as Hispanic or Latino. Of note, 48.6% of households reported speaking English only, while 22% reported speaking Spanish only. Additionally, 39% of residents were classified as foreign-born. The San Bruno racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.

San Bruno Population Density

High population density areas are renowned for their extensive array of amenities and services, easily accessible to residents within walking distance or a short commute. From healthcare facilities and educational institutions to cultural venues, dining establishments, retail shops and public transportation options, these communities offer convenience and enrichment to their inhabitants. The San Bruno population density is 8,386 people per square mile, well above the national average of 91, making it one of the most densely populated cities in the nation.

Why are Demographics Important?

Social Cohesion: The reporting and analysis of demographics are essential for fostering social cohesion and understanding among diverse communities. By acknowledging and valuing differences in San Bruno demographics, societies can champion inclusivity, diversity and social harmony while tackling social disparities and advocating for equal opportunities. Racial demographics showcase the varied makeup of a population and play a vital role in nurturing inclusive and hospitable communities. Embracing diversity bolsters social cohesion, enhances cultural comprehension and enriches society by honoring the contributions of individuals from diverse racial and ethnic backgrounds.

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 San Bruno 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 San Bruno 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.

Urban Development: San Bruno 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 San Bruno demographic data in planning and executing affordable housing initiatives can serve as a preventive measure against displacement.

Demographics Quick Facts

  • The population density in San Bruno is 3086% higher than California
  • The median age in San Bruno is 8% higher than California
  • In San Bruno 42.06% of the population is White
  • In San Bruno 0.80% of the population is Black
  • In San Bruno 31.16% of the population is Asian

Compare San Bruno, CA Demographics

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      San Bruno racial demographics

      Race San Bruno California National
      White 42.06% 61.26% 73.35%
      Black 0.80% 5.85% 12.63%
      Asian 31.16% 13.85% 5.22%
      American Indian 0.10% 0.74% 0.82%
      Native Hawaiian 2.93% 0.39% 0.18%
      Mixed race 9.35% 4.62% 3.06%
      Other race 13.59% 13.28% 4.75%
      In San Bruno, 30.0% 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

      San Bruno age breakdown

      Marital status

      Age of children in married couples

      Source: The San Bruno, CA 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.