Statistic Flora Mississippi National
Population 2,442 3,071,042 336,919,644
Population density (sq mi) 739 65 91
Median age 28.9 36.7 37.7
Male/Female ratio 1.1:1 0.9:1 1.0:1
Married (15yrs & older) 47% 54% 55%
Families w/ Kids under 18 48% 42% 43%
Speak English 100% 96% 79%
Speak Spanish 0% 2% 13%
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Overview of Flora Demographics

The population of Flora is 2,442, with a population density of 739 people per square mile, diverging from the national average of 91. The median age is 28.9 and 47% of individuals aged 15 or older are married, while 48% have children under 18. As far as income equality in Flora goes, 26% of households have a median income below $25,000, whereas 13% report an income exceeding $150,000. The Flora demographics data can provide indispensable insights into the composition, dynamics and needs of cities, towns or even villages, empowering planners, developers and policymakers to devise strategies that foster prosperity, equity and well-being for all residents.

Flora Racial Demographics & Ethnicity

The Flora 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 Flora is 44.1% White, 51.9% Black or African American, 1.1% Asian, 0% American Indian and 0% Native Hawaiian - 2% of the population identify as Hispanic or Latino. Of all households, 99.5% reported speaking English only, while 0.5% reported speaking Spanish only. A total of 0% of residents were considered foreign born.

Flora Population Density

Areas like Flora, 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 Flora population density is 739 people per square mile, which ranks lower than 50% of cities nationwide, presenting ample opportunity to enjoy these advantages.

Why are Demographics Important?

Education Allocation: Utilizing census data like Flora demographics can be useful in guiding education planning, as it helps identify student demographics, school enrollment trends and educational needs. This data assists schools and policymakers in allocating resources and devising effective educational programs. It serves as a vital tool for recognizing disparities in educational access and outcomes among various demographic groups, including racial and ethnic minorities, socio-economic status and students with disabilities. By disaggregating data based on demographic factors, education planners can pinpoint areas of inequity and implement targeted interventions to enhance access, support and outcomes for marginalized students. In essence, Flora demographic statistics can play an indispensable role in education by promoting equity, bolstering student success and cultivating inclusive learning environments tailored to meet the needs of all students.

Social Cohesion: Analyzing demographics is vital for nurturing social cohesion and fostering understanding among diverse communities. By embracing and respecting variations in Flora demographics, societies can advance inclusivity, diversity and social unity while combatting social inequalities and advocating for equal opportunities. Racial demographics mirror the diversity within a population and can be instrumental in cultivating inclusive and inviting communities. Embracing diversity strengthens social bonds, fosters cultural appreciation and enriches society by acknowledging the contributions of individuals from various racial and ethnic backgrounds.

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

Demographics Quick Facts

  • The population density in Flora is 1029% higher than Mississippi
  • The median age in Flora is 21% lower than Mississippi
  • In Flora 44.07% of the population is White
  • In Flora 51.89% of the population is Black
  • In Flora 1.10% of the population is Asian

Compare Flora, MS Demographics

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      Flora racial demographics

      Race Flora Mississippi National
      White 44.07% 59.01% 73.35%
      Black 51.89% 37.51% 12.63%
      Asian 1.10% 0.96% 5.22%
      American Indian 0.00% 0.44% 0.82%
      Native Hawaiian 0.00% 0.02% 0.18%
      Mixed race 2.93% 1.18% 3.06%
      Other race 0.00% 0.88% 4.75%
      In Flora, 2.0% 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

      Flora age breakdown

      Marital status

      Age of children in married couples

      Source: The Flora, MS 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.