Statistic Pound Virginia National
Population 1,005 8,835,543 336,919,644
Population density (sq mi) 386 224 91
Median age 44.8 37.8 37.7
Male/Female ratio 1.0:1 1.0:1 1.0:1
Married (15yrs & older) 64% 57% 55%
Families w/ Kids under 18 42% 44% 43%
Speak English 100% 84% 79%
Speak Spanish 0% 7% 13%
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Overview of Pound Demographics

Pound demographics provide invaluable insights into the composition, dynamics and needs of urban and rural areas, enabling them to plan, develop, and govern in ways that promote prosperity, equity and well-being for all residents. The Pound population is 1,005 and has a population density of 386 people per square mile, compared to the national average of 91. The median age of all residents is 44.8, 64% of people 15 years of age or older are married and 42% have kids under the age of 18. In Pound, 75% of households have a median income that is below $25,000 and 2% of households report a median income above $150,000.

Pound Racial Demographics & Ethnicity

The 5 largest ethnic groups in Pound are 99.6% White, 0.4% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian, with 0% of the population identifying as Hispanic or Latino. Of note, 100% of households reported speaking English only, while 0% reported speaking Spanish only. Additionally, 0% of residents were classified as foreign-born. The Pound racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.

Pound Population Density

Regions with below-average population density like Pound, tend to offer a serene pace of life, stronger ties to nature, tight-knit communities, increased affordability and heightened safety, making them appealing havens for those desiring a tranquil lifestyle away from urban chaos. These locales often boast a more economical cost of living, with housing prices typically more accessible and residents may enjoy reduced taxes, living expenses and insurance rates. Low population density areas generally exhibit lower crime rates than densely populated urban regions, fostering a heightened sense of security for residents and their families. With a population density of 386 people per square mile, Pound ranks lower than 50% of cities nationwide and positions itself in a great spot to take advantage of all these benefits.

Why are Demographics Important?

Education Allocation: Pound 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, Pound demographic data is indispensable in education for advancing equity, fostering student achievement, and cultivating inclusive learning environments tailored to the needs of all students.

Understanding Populations: By delving into and analyzing the Pound demographic stats, we can uncover insightful details regarding the composition and attributes of populations, spanning age, gender, race, ethnicity, income, education and other socio-economic indicators. This comprehension is vital for addressing the diverse needs, preferences and hurdles faced by various demographic groups within communities. Demographics wield significant influence in understanding populations, shaping decision-making processes and championing equity, inclusion, and the overall welfare of all individuals and communities. The Pound population and demographic data serves as a cornerstone for tackling social, economic and environmental challenges, while simultaneously nurturing the well-being and resilience of societies.

Healthcare Planning: The examination of Pound demographics can potentially inform healthcare planning and delivery by identifying population health needs, disparities and risk factors. By comprehending demographic trends, healthcare providers and policymakers can allocate resources effectively, develop prevention and intervention programs, and address health inequities within communities. Through the utilization of demographic statistics, healthcare providers and policymakers aim to achieve 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 the diverse needs of populations.

Demographics Quick Facts

  • The population density in Pound is 72% higher than Virginia
  • The median age in Pound is 19% higher than Virginia
  • In Pound 99.59% of the population is White
  • In Pound 0.41% of the population is Black
  • In Pound 0.00% of the population is Asian

Compare Pound, VA Demographics

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      Pound racial demographics

      Race Pound Virginia National
      White 99.59% 68.75% 73.35%
      Black 0.41% 19.21% 12.63%
      Asian 0.00% 6.05% 5.22%
      American Indian 0.00% 0.26% 0.82%
      Native Hawaiian 0.00% 0.07% 0.18%
      Mixed race 0.00% 3.37% 3.06%
      Other race 0.00% 2.30% 4.75%
      In Pound, 0.0% 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

      Pound age breakdown

      Marital status

      Age of children in married couples

      Source: The Pound, VA 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.