Statistic Linn Missouri National
Population 1,549 6,326,040 336,919,644
Population density (sq mi) 1,328 92 91
Median age 28.9 38.3 37.7
Male/Female ratio 1.1:1 1.0:1 1.0:1
Married (15yrs & older) 50% 57% 55%
Families w/ Kids under 18 49% 42% 43%
Speak English 97% 94% 79%
Speak Spanish 1% 3% 13%
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Overview of Linn Demographics

The population in Linn is 1,549, while the population density is 1,328 people per square mile, contrasting with the national average of 91. The median age stands at 28.9, with 50% of individuals aged 15 or older being married and 49% having children under 18. In terms of household income equality in Linn, 41% of households report a median income below $25,000, while 1% report an income exceeding $150,000. The Linn 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.

Linn Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Linn is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Linn, the racial breakdown comprises 92.2% White, 0% Black or African American, 0% Asian, 4.8% American Indian, and 0% Native Hawaiian, with 1.4% of the population identifying as Hispanic or Latino. 97.2% of households reported speaking English only, while 1.2% reported speaking Spanish only. Furthermore, 0.5% of residents were categorized as foreign-born.

Linn Population Density

Linn has a population density that is well above-average, which 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. Linn has a population density of 1,328 people per square mile, exceeding the national average of 91 and positions itself in a good spot to reap the benefits of densely populated areas.

Why are Demographics Important?

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 Linn 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.

Policy Planning: Demographic data and statistics serve as valuable tools for guiding policy and decision-making processes across government entities, organizations, and businesses. Through the analysis and interpretation of Linn demographics, policymakers, government officials and organizational leaders can identify areas requiring attention, allocate resources strategically and develop policies and initiatives that cater to the unique needs and preferences of various demographic groups. Linn demographic statistics can play a critical role in policy planning by informing resource allocation, enabling evidence-based decision-making, identifying priority areas, forecasting future trends, monitoring policy outcomes and fostering equity and inclusivity. By harnessing this data effectively, policymakers can craft policies that are targeted, efficient and equitable, thereby addressing the diverse needs of communities.

Understanding Populations: Reporting and analyzing the demographic data in Linn can allow us to gain insights into the characteristics and composition of populations, including age, gender, race, ethnicity, income, education and other socio-economic factors. This understanding is essential for addressing the diverse needs, preferences and challenges of different demographic groups within communities. Demographics can play a crucial role in understanding populations, informing decision-making processes and promoting equity, inclusion, and well-being for all individuals and communities. Linn population data serves as a foundation for addressing social, economic, and environmental challenges and promoting the well-being and resilience of societies.

Demographics Quick Facts

  • The population density in Linn is 1343% higher than Missouri
  • The median age in Linn is 25% lower than Missouri
  • In Linn 92.24% of the population is White
  • In Linn 0.00% of the population is Black
  • In Linn 0.00% of the population is Asian

Compare Linn, MO Demographics

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      Linn racial demographics

      Race Linn Missouri National
      White 92.24% 82.53% 73.35%
      Black 0.00% 11.58% 12.63%
      Asian 0.00% 1.78% 5.22%
      American Indian 4.84% 0.42% 0.82%
      Native Hawaiian 0.00% 0.11% 0.18%
      Mixed race 2.46% 2.44% 3.06%
      Other race 0.46% 1.13% 4.75%
      In Linn, 1.4% 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

      Linn age breakdown

      Marital status

      Age of children in married couples

      Source: The Linn, MO 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.