Statistic Colma California National
Population 1,528 40,994,941 336,919,644
Population density (sq mi) 802 263 91
Median age 36.6 36.0 37.7
Male/Female ratio 1.2:1 1.0:1 1.0:1
Married (15yrs & older) 48% 52% 55%
Families w/ Kids under 18 45% 46% 43%
Speak English 47% 56% 79%
Speak Spanish 29% 29% 13%
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Overview of Colma Demographics

The demographics of Colma 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 1,528, Colma exhibits a population density of 802 people per square mile, contrasting with the national average of 91. The median age stands at 36.6, with 48% of individuals aged 15 or older being married and 45% having children under 18. In terms of income equality in Colma, 8% of households report a median income below $25,000, while 48% report an income exceeding $150,000, showcasing a diverse economic landscape.

Colma Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Colma is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Colma, the racial breakdown comprises 44.6% White, 2.5% Black or African American, 35.8% Asian, 0.3% American Indian, and 0% Native Hawaiian, with 37.4% of the population identifying as Hispanic or Latino. 47% of households reported speaking English only, while 29% reported speaking Spanish only. Furthermore, 38.8% of residents were categorized as foreign-born.

Colma Population Density

Colma, characterized by above-average population density, plays a pivotal role in promoting environmental sustainability by reducing per capita energy consumption, greenhouse gas emissions and land use. Its compact urban development encourages energy-efficient buildings, active transportation modes like walking and cycling and the utilization of public transit, fostering sustainable lifestyles and mitigating environmental impact. Additionally, the area's dense population contributes to a vibrant social and cultural scene, featuring a diverse array of cultural events, festivals and community activities. This cultural diversity fuels creativity, innovation, and cross-cultural exchange, enhancing the community's social fabric. The Colma population density stands at 802, exceeding the national average, at 91 people per square mile, positioning it in a nice position to reap the benefits of densely populated areas.

Why are Demographics Important?

Urban Development: By leveraging demographic data in Colma, urban planners can tailor areas to meet the needs of any resident across housing, transportation and public services, all while fostering sustainability and elevating quality of life. Demographic changes can fuel gentrification and neighborhood transformation, whether in urban or rural settings. As neighborhoods attract newcomers with varying income levels and lifestyle preferences, property values may appreciate, potentially displacing established residents and reshaping the neighborhood's fabric. A nuanced understanding of population density, age distribution, household size and income levels is pivotal for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Utilizing the demographic data in planning and implementing affordable housing initiatives can help mitigate displacement risks and promote inclusive communities.

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 Colma 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 Colma 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 Colma is 205% higher than California
  • The median age in Colma is 2% higher than California
  • In Colma 44.57% of the population is White
  • In Colma 2.48% of the population is Black
  • In Colma 35.79% of the population is Asian

Compare Colma, CA Demographics

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      Colma racial demographics

      Race Colma California National
      White 44.57% 61.26% 73.35%
      Black 2.48% 5.85% 12.63%
      Asian 35.79% 13.85% 5.22%
      American Indian 0.27% 0.74% 0.82%
      Native Hawaiian 0.00% 0.39% 0.18%
      Mixed race 6.77% 4.62% 3.06%
      Other race 10.12% 13.28% 4.75%
      In Colma, 37.4% 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

      Colma age breakdown

      Marital status

      Age of children in married couples

      Source: The Colma, 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.