Statistic Flora Indiana National
Population 1,925 6,996,062 336,919,644
Population density (sq mi) 1,819 195 91
Median age 39.7 37.4 37.7
Male/Female ratio 1.1:1 1.0:1 1.0:1
Married (15yrs & older) 56% 56% 55%
Families w/ Kids under 18 40% 43% 43%
Speak English 98% 92% 79%
Speak Spanish 1% 5% 13%
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Overview of Flora Demographics

Understanding the demographics of Flora is essential for gaining insights into the composition, dynamics and needs of any city, town or village. This knowledge empowers planners, developers and policymakers to strategize effectively, promoting prosperity, equity and well-being for all residents. The Flora population is 1,925, with a population density of 1,819 people per square mile, diverging from the national average of 91. The median age is 39.7, and 56% of individuals aged 15 or older are married, while 40% have children under 18. As far as income equality in Flora, 13% of households have a median income below $25,000, whereas 5% report an income exceeding $150,000, indicating a varied economic landscape within the area.

Flora Racial Demographics & Ethnicity

The 5 largest ethnic groups in Flora are 94.1% White, 3.7% Black or African American, 0% Asian, 0% American Indian and 0% Native Hawaiian, with 0.9% of the population identifying as Hispanic or Latino. Of note, 98.3% of households reported speaking English only, while 1% reported speaking Spanish only. Additionally, 1.2% of residents were classified as foreign-born. The Flora racial demographics and ethnicity breakdown are essential for comprehending and addressing systemic inequities, advancing social justice and inclusion and cultivating resilient communities.

Flora Population Density

Communities such as Flora, with population densities higher than the average, play a significant role in promoting environmental sustainability by decreasing per capita energy consumption, greenhouse gas emissions and land use. Their compact urban development encourages the adoption of energy-efficient buildings, walking, cycling, and public transportation, fostering sustainable lifestyles and minimizing environmental impact. Additionally, densely populated areas tend to cultivate vibrant social and cultural scenes, fueled by a diverse population that contributes to a myriad of cultural events, festivals and community activities. This cultural diversity sparks creativity, innovation and cross-cultural exchange, enriching the social fabric of the community. Flora has a population density of 1,819, surpassing the national average of 91 people per square mile, as it stands poised to reap the benefits of dense urban living.

Why are Demographics Important?

Healthcare Planning: By analyzing the Flora demographic data, it can potentially inform healthcare planning and delivery by identifying population health needs, disparities, and risk factors. Understanding demographic trends helps healthcare providers and policymakers allocate resources, develop prevention and intervention programs, and address health inequities within communities. By leveraging demographic data, healthcare providers and policymakers can work towards achieving equitable, accessible, and high-quality healthcare for all individuals and communities. This proactive approach to healthcare planning ensures that interventions are targeted, resources are allocated efficiently, and healthcare services are tailored to meet the diverse needs of populations.

Policy Planning: Demographic data and statistics play a fundamental role in informing policy and decision-making processes across government entities, organizations and businesses. Through the analysis and interpretation of Flora demographic data, policymakers, government officials, and organizational leaders can pinpoint areas of concern, allocate resources efficiently, and devise policies and initiatives tailored to the specific needs and preferences of distinct demographic groups. The utilization of demographics in Flora can be crucial in policy planning, facilitating evidence-based decision-making, identifying key priorities, forecasting future trends, monitoring policy outcomes and advancing principles of equity and inclusion. By harnessing this data effectively, policymakers can develop policies that are targeted, effective and inclusive, thus meeting the diverse needs of communities.

Social Cohesion: The reporting and analysis of demographics are essential for fostering social cohesion and understanding among diverse communities. By acknowledging and valuing differences in Flora demographics, societies can champion inclusivity, diversity and social harmony while tackling social disparities and advocating for equal opportunities. Racial demographics showcase the varied makeup of a population and play a vital role in nurturing inclusive and hospitable communities. Embracing diversity bolsters social cohesion, enhances cultural comprehension and enriches society by honoring the contributions of individuals from diverse racial and ethnic backgrounds.

Demographics Quick Facts

  • The population density in Flora is 832% higher than Indiana
  • The median age in Flora is 6% higher than Indiana
  • In Flora 94.07% of the population is White
  • In Flora 3.66% of the population is Black
  • In Flora 0.00% of the population is Asian

Compare Flora, IN Demographics

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      Flora racial demographics

      Race Flora Indiana National
      White 94.07% 83.99% 73.35%
      Black 3.66% 9.23% 12.63%
      Asian 0.00% 1.98% 5.22%
      American Indian 0.00% 0.24% 0.82%
      Native Hawaiian 0.00% 0.04% 0.18%
      Mixed race 1.51% 2.22% 3.06%
      Other race 0.75% 2.30% 4.75%
      In Flora, 0.9% 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, IN 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.