Statistic Freeland Washington National
Population 1,951 7,794,858 336,919,644
Population density (sq mi) 503 117 91
Median age 53.3 37.6 37.7
Male/Female ratio 1.2:1 1.0:1 1.0:1
Married (15yrs & older) 60% 56% 55%
Families w/ Kids under 18 40% 44% 43%
Speak English 97% 81% 79%
Speak Spanish 0% 8% 13%
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Overview of Freeland Demographics

The population in Freeland is 1,951, while the population density is 503 people per square mile, contrasting with the national average of 91. The median age stands at 53.3, with 60% of individuals aged 15 or older being married and 40% having children under 18. In terms of household income equality in Freeland, 5% of households report a median income below $25,000, while 25% report an income exceeding $150,000. The Freeland 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.

Freeland Racial Demographics & Ethnicity

The Freeland racial demographics and ethnicity breakdown serves as a critical tool for understanding and addressing systemic inequities, promoting social justice and inclusion and building stronger, more resilient communities. The racial breakdown in Freeland is 84.9% White, 5% Black or African American, 1.9% Asian, 1.6% American Indian and 0.7% Native Hawaiian - 3.7% of the population identify as Hispanic or Latino. Of all households, 97.4% reported speaking English only, while 0.5% reported speaking Spanish only. A total of 4% of residents were considered foreign born.

Freeland Population Density

Areas like Freeland, characterized by below-average population density, offer a quieter lifestyle, closer connection to nature, strong community ties, improved affordability and enhanced safety, appealing to individuals seeking a break from urban life. These regions often boast a more affordable cost of living, with housing prices typically more accessible and residents may benefit from lower taxes, living expenses and insurance rates. Low population density areas also tend to have lower crime rates compared to densely populated urban areas, contributing to a greater sense of security for residents and their families. The Freeland population density is 503 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.

Why are Demographics Important?

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 Freeland 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. Freeland 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.

Urban Development: Urban planners could use Freeland 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 Freeland demographics for planning and development of affordable housing can help prevent displacement.

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 Freeland 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.

Demographics Quick Facts

  • The population density in Freeland is 328% higher than Washington
  • The median age in Freeland is 42% higher than Washington
  • In Freeland 84.86% of the population is White
  • In Freeland 4.99% of the population is Black
  • In Freeland 1.86% of the population is Asian

Compare Freeland, WA Demographics

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      Freeland racial demographics

      Race Freeland Washington National
      White 84.86% 77.34% 73.35%
      Black 4.99% 3.63% 12.63%
      Asian 1.86% 7.80% 5.22%
      American Indian 1.65% 1.33% 0.82%
      Native Hawaiian 0.69% 0.63% 0.18%
      Mixed race 5.58% 5.34% 3.06%
      Other race 0.37% 3.92% 4.75%
      In Freeland, 3.7% 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

      Freeland age breakdown

      Marital status

      Age of children in married couples

      Source: The Freeland, WA 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.