Statistic Long Lake Minnesota National
Population 1,828 5,793,354 336,919,644
Population density (sq mi) 2,135 73 91
Median age 44.0 37.8 37.7
Male/Female ratio 1.1:1 1.0:1 1.0:1
Married (15yrs & older) 50% 58% 55%
Families w/ Kids under 18 50% 45% 43%
Speak English 91% 89% 79%
Speak Spanish 3% 4% 13%
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Overview of Long Lake Demographics

The population of Long Lake is 1,828, with a population density of 2,135 people per square mile, diverging from the national average of 91. The median age is 44 and 50% of individuals aged 15 or older are married, while 50% have children under 18. As far as income equality in Long Lake goes, 19% of households have a median income below $25,000, whereas 34% report an income exceeding $150,000. The Long Lake 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.

Long Lake Racial Demographics & Ethnicity

Understanding the Long Lake racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Long Lake, the racial breakdown indicates 91% White, 3.3% Black or African American, 0.6% Asian, 1.1% American Indian and 0% Native Hawaiian, with 3.1% of the population identifying as Hispanic or Latino. Notably, 91.4% of households reported speaking English only, while 3% reported speaking Spanish only. Additionally, 3.5% of residents were categorized as foreign-born.

Long Lake Population Density

High population density areas typically offer a diverse array of amenities and services within walking distance or a short commute, enriching residents' quality of life and well-being. Accessible healthcare facilities, educational institutions, cultural venues, restaurants, shopping and public transportation options contribute to the convenience and vibrancy of these communities. The population density of of Long Lake is 2,135 people per square mile, which far exceeds the national average of 91 and ranks among the most densely populated cities in the nation.

Why are Demographics Important?

Understanding Populations: Analyzing and interpreting the Long Lake demographic data provides us with valuable insights into the characteristics and composition of populations, encompassing age, gender, race, ethnicity, income, education and other socio-economic variables. This understanding is crucial for addressing the diverse needs, preferences and challenges encountered by various demographic groups within communities. Demographics play a crucial role in understanding populations, informing decision-making processes, and advancing equity, inclusion, and overall well-being for all individuals and communities. The Long Lake population and demographic data serves as a foundation for addressing social, economic and environmental challenges, while also nurturing the well-being and resilience of societies.

Urban Development: Urban planners could use Long Lake demographic data to design and create areas that accommodate the needs of residents, including housing, transportation and public services, while promoting sustainability and quality of life. Demographic shifts can contribute to gentrification and neighborhood change in urban or rural areas. As neighborhoods attract new residents with different income levels and lifestyle preferences, property values may rise, leading to displacement of long-time residents and changes in the character and identity of the neighborhood. Understanding population density, age distribution, household size and income levels helps inform decisions related to zoning, transportation infrastructure, housing development and public amenities. Lastly, using Long Lake demographics for planning and development of affordable housing can help prevent displacement.

Education Allocation: Long Lake demographics can play a pivotal role in guiding education planning, offering insights into student demographics, school enrollment patterns, and educational requirements. This data aids schools and policymakers in resource allocation and the development of effective educational programs. It serves as a critical tool for identifying disparities in educational access and outcomes among diverse demographic groups, such as racial and ethnic minorities, socio-economic status, and students with disabilities. Through the disaggregation of data by demographic factors, education planners can pinpoint areas of inequity and implement targeted interventions to enhance access, support, and outcomes for marginalized students. Ultimately, Long Lake demographic data is indispensable in education for advancing equity, fostering student achievement, and cultivating inclusive learning environments tailored to the needs of all students.

Demographics Quick Facts

  • The population density in Long Lake is 2835% higher than Minnesota
  • The median age in Long Lake is 16% higher than Minnesota
  • In Long Lake 91.01% of the population is White
  • In Long Lake 3.26% of the population is Black
  • In Long Lake 0.56% of the population is Asian

Compare Long Lake, MN Demographics

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      Long Lake racial demographics

      Race Long Lake Minnesota National
      White 91.01% 84.34% 73.35%
      Black 3.26% 5.70% 12.63%
      Asian 0.56% 4.53% 5.22%
      American Indian 1.12% 1.04% 0.82%
      Native Hawaiian 0.00% 0.04% 0.18%
      Mixed race 3.04% 2.72% 3.06%
      Other race 1.01% 1.62% 4.75%
      In Long Lake, 3.1% 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

      Long Lake age breakdown

      Marital status

      Age of children in married couples

      Source: The Long Lake, MN 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.