Statistic Williamstown West Virginia National
Population 3,015 1,850,719 336,919,644
Population density (sq mi) 2,303 77 91
Median age 49.5 41.9 37.7
Male/Female ratio 0.9:1 1.0:1 1.0:1
Married (15yrs & older) 74% 59% 55%
Families w/ Kids under 18 30% 37% 43%
Speak English 100% 98% 79%
Speak Spanish 0% 1% 13%
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Overview of Williamstown Demographics

The population in Williamstown is 3,015, while the population density is 2,303 people per square mile, contrasting with the national average of 91. The median age stands at 49.5, with 74% of individuals aged 15 or older being married and 30% having children under 18. In terms of household income equality in Williamstown, 22% of households report a median income below $25,000, while 21% report an income exceeding $150,000. The Williamstown 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.

Williamstown Racial Demographics & Ethnicity

Recognizing the racial demographics and ethnicity breakdown of Williamstown is pivotal for addressing systemic inequities, championing social justice and inclusion and fostering resilient communities. In Williamstown, the racial breakdown comprises 99.2% White, 0% Black or African American, 0% Asian, 0% American Indian, and 0% Native Hawaiian, with 0.7% of the population identifying as Hispanic or Latino. 99.6% of households reported speaking English only, while 0.4% reported speaking Spanish only. Furthermore, 0% of residents were categorized as foreign-born.

Williamstown Population Density

The Williamstown population density comes in at 2,303 people per square mile, which makes it one of the most densely populated areas in the country, far surpassing the national average of 91. Areas characterized by high population density often boast an abundance of amenities and services within close proximity, providing residents with convenient access to healthcare, education, cultural attractions, dining establishments, retail outlets and transportation options. This accessibility could potentially enhance residents' overall quality of life and well-being.

Why are Demographics Important?

Healthcare Planning: Analyzing the demographic data in Williamstown has the potential to inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. Healthcare providers and policymakers can allocate resources more effectively, develop prevention and intervention programs and address health inequities within communities by understanding demographic trends. Leveraging demographic statistics can enable healthcare providers and policymakers to strive for equitable, accessible and high-quality healthcare for all individuals and communities. This proactive healthcare planning approach ensures targeted interventions, efficient resource allocation and tailored healthcare services to meet diverse population needs.

Understanding Populations: Analyzing and interpreting the Williamstown 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 Williamstown 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.

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 Williamstown 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 Williamstown 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.

Demographics Quick Facts

  • The population density in Williamstown is 2892% higher than West Virginia
  • The median age in Williamstown is 18% higher than West Virginia
  • In Williamstown 99.21% of the population is White
  • In Williamstown 0.00% of the population is Black
  • In Williamstown 0.00% of the population is Asian

Compare Williamstown, WV Demographics

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      Williamstown racial demographics

      Race Williamstown West Virginia National
      White 99.21% 93.46% 73.35%
      Black 0.00% 3.43% 12.63%
      Asian 0.00% 0.76% 5.22%
      American Indian 0.00% 0.18% 0.82%
      Native Hawaiian 0.00% 0.04% 0.18%
      Mixed race 0.79% 1.83% 3.06%
      Other race 0.00% 0.31% 4.75%
      In Williamstown, 0.7% 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

      Williamstown age breakdown

      Marital status

      Age of children in married couples

      Source: The Williamstown, WV 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.