Statistic Prairie Village Kansas National
Population 22,725 3,026,509 336,919,644
Population density (sq mi) 3,659 37 91
Median age 39.4 36.2 37.7
Male/Female ratio 0.8:1 1.0:1 1.0:1
Married (15yrs & older) 61% 59% 55%
Families w/ Kids under 18 46% 45% 43%
Speak English 96% 89% 79%
Speak Spanish 2% 8% 13%
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Local Insights Report

Overview of Prairie Village Demographics

Prairie Village 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 Prairie Village population is 22,725 and has a population density of 3,659 people per square mile, compared to the national average of 91. The median age of all residents is 39.4, 61% of people 15 years of age or older are married and 46% have kids under the age of 18. In Prairie Village, 12% of households have a median income that is below $25,000 and 34% of households report a median income above $150,000.

Prairie Village Racial Demographics & Ethnicity

Understanding the Prairie Village racial demographics and ethnic composition is paramount for addressing systemic inequities, advancing social justice and inclusion and fortifying communities. In Prairie Village, the racial breakdown indicates 94.2% White, 0.9% Black or African American, 1% Asian, 0.1% American Indian and 0% Native Hawaiian, with 4.7% of the population identifying as Hispanic or Latino. Notably, 96.2% of households reported speaking English only, while 1.5% reported speaking Spanish only. Additionally, 2.6% of residents were categorized as foreign-born.

Prairie Village Population Density

In areas with high population density, residents enjoy a wealth of amenities and services conveniently located within walking distance or a short commute. Access to healthcare facilities, educational institutions, cultural venues, dining options, retail stores and public transit enhances residents' quality of life and overall well-being. Prairie Village has a population density of 3,659 people per square mile, which far exceeds the national average of 91 and ranks among the most densely populated cities in the country.

Why are Demographics Important?

Urban Development: Urban planners can leverage demographics data in Prairie Village to design and develop areas that cater to residents' needs, spanning housing, transportation, and public services, while prioritizing sustainability and enhancing quality of life. Demographic changes can contribute to gentrification and neighborhood evolution, whether in urban or rural contexts. As neighborhoods attract new residents with diverse income levels and lifestyle preferences, property values may appreciate, potentially displacing longstanding residents and reshaping the neighborhood's identity. Understanding population density, age distribution, household size and income levels is essential for guiding decisions on zoning, transportation infrastructure, housing development and public amenities. Incorporating Prairie Village demographics data into planning and implementing affordable housing initiatives can help mitigate displacement risks.

Healthcare Planning: The examination of Prairie Village 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.

Policy Planning: Demographic data and statistics can inform policy and decision-making processes at various levels of government, as well as in organizations and businesses. By reporting and analyzing Prairie Village demographics data, policymakers, government officials and organizational leaders can identify areas of need, allocate resources effectively and develop targeted policies and programs that address the specific needs and priorities of different demographic groups. Prairie Village demographics can play a crucial role in policy planning by informing resource allocation, evidence-based decision making, identifying priorities, forecasting future trends, monitoring policy impact and promoting equity and inclusion. By leveraging this data effectively, policymakers can develop policies that are targeted, effective and responsive to the needs of diverse communities.

Demographics Quick Facts

  • The population density in Prairie Village is 9783% higher than Kansas
  • The median age in Prairie Village is 9% higher than Kansas
  • In Prairie Village 94.16% of the population is White
  • In Prairie Village 0.95% of the population is Black
  • In Prairie Village 0.98% of the population is Asian

Compare Prairie Village, KS Demographics

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      Prairie Village racial demographics

      Race Prairie Village Kansas National
      White 94.16% 85.19% 73.35%
      Black 0.95% 5.79% 12.63%
      Asian 0.98% 2.68% 5.22%
      American Indian 0.13% 0.82% 0.82%
      Native Hawaiian 0.01% 0.06% 0.18%
      Mixed race 3.67% 3.31% 3.06%
      Other race 0.09% 2.15% 4.75%
      In Prairie Village, 4.7% 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

      Prairie Village age breakdown

      Marital status

      Age of children in married couples

      Source: The Prairie Village, KS 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.