Statistic Hurt Virginia National
Population 1,511 8,835,543 336,919,644
Population density (sq mi) 435 224 91
Median age 50.5 37.8 37.7
Male/Female ratio 0.7:1 1.0:1 1.0:1
Married (15yrs & older) 63% 57% 55%
Families w/ Kids under 18 34% 44% 43%
Speak English 96% 84% 79%
Speak Spanish 3% 7% 13%
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Overview of Hurt Demographics

The population in Hurt is 1,511, while the population density is 435 people per square mile, contrasting with the national average of 91. The median age stands at 50.5, with 63% of individuals aged 15 or older being married and 34% having children under 18. In terms of household income equality in Hurt, 23% of households report a median income below $25,000, while 8% report an income exceeding $150,000. The Hurt 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.

Hurt Racial Demographics & Ethnicity

The Hurt racial demographics and ethnicity breakdown could be indispensable tools for recognizing and rectifying systemic inequities, fostering social justice and inclusion and cultivating resilient communities. In Hurt, the racial breakdown reveals 69.3% White, 25.8% Black or African American, 0.1% Asian, 0.1% American Indian and 0% Native Hawaiian, with 4% of the population identifying as Hispanic or Latino. Of all households, 96% reported speaking English only, while 3.5% reported speaking Spanish only. Moreover, 2.1% of residents were classified as foreign-born.

Hurt Population Density

Areas like Hurt, 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 Hurt population density is 435 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.

Why are Demographics Important?

Understanding Populations: Analyzing and interpreting the Hurt 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 Hurt 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: By leveraging demographic data in Hurt, urban planners can tailor areas to meet the needs of any resident across housing, transportation and public services, all while fostering sustainability and elevating quality of life. Demographic changes can fuel gentrification and neighborhood transformation, whether in urban or rural settings. As neighborhoods attract newcomers with varying income levels and lifestyle preferences, property values may appreciate, potentially displacing established residents and reshaping the neighborhood's fabric. A nuanced understanding of population density, age distribution, household size and income levels is pivotal for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Utilizing the demographic data in planning and implementing affordable housing initiatives can help mitigate displacement risks and promote inclusive communities.

Healthcare Planning: The examination of Hurt 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 Hurt is 94% higher than Virginia
  • The median age in Hurt is 34% higher than Virginia
  • In Hurt 69.32% of the population is White
  • In Hurt 25.81% of the population is Black
  • In Hurt 0.14% of the population is Asian

Compare Hurt, VA Demographics

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      Hurt racial demographics

      Race Hurt Virginia National
      White 69.32% 68.75% 73.35%
      Black 25.81% 19.21% 12.63%
      Asian 0.14% 6.05% 5.22%
      American Indian 0.07% 0.26% 0.82%
      Native Hawaiian 0.00% 0.07% 0.18%
      Mixed race 1.24% 3.37% 3.06%
      Other race 3.43% 2.30% 4.75%
      In Hurt, 4.0% 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

      Hurt age breakdown

      Marital status

      Age of children in married couples

      Source: The Hurt, 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.