Demographics details for Mount dora, FL vs Fort smith, AR

Population Overview

Compare main population characteristics in Mount dora, FL vs Fort smith, AR.

Data Mount dora Fort smith
Population 17,160 89,992
Median Age 48.6 years 36.4 years
Median Income $65,774 $50,799
Married Families 43.0% 36.0%
Poverty Level 12% 12%
Unemployment Rate 3.2 3.7

Population Comparison: Mount dora vs Fort smith

  • The population in Fort smith is higher at 89,992, compared to 17,160 in Mount dora.
  • Residents in Mount dora have a higher median age of 48.6 years compared to 36.4 years in Fort smith.
  • Mount dora has a higher median income of $65,774 compared to $50,799 in Fort smith.
  • A higher percentage of married families is found in Mount dora at 43.0% compared to 36.0% in Fort smith.
  • The poverty level is identical in both Mount dora and Fort smith at 12%.
  • Fort smith has a higher unemployment rate at 3.7% compared to 3.2% in Mount dora.

Demographics

Demographics Mount dora vs Fort smith provide insight into the diversity of the communities to compare.

Demographic Mount dora Fort smith
Black 13 8
White 65 57
Asian Data is updating 6
Hispanic 15 19
Two or More Races 7 9
American Indian Data is updating 1

Demographics Comparison: Mount dora vs Fort smith

  • A higher percentage of Black residents are in Mount dora at 13% compared to 8% in Fort smith.
  • Mount dora has a higher percentage of White residents at 65% compared to 57% in Fort smith.
  • In Fort smith, the Asian population stands at 6%, greater than 0% in Mount dora.
  • Fort smith has a higher percentage of Hispanic residents at 19%, compared to 15% in Mount dora.
  • The percentage of residents identifying as two or more races is higher in Fort smith at 9%, compared to 7% in Mount dora.
  • In Fort smith, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount dora.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Mount dora Fort smith
Mental Health Not Good 17.0% 19.6%
Physical Health Not Good 11.6% 14.7%
Depression 20.8% 27.8%
Smoking 20.4% 21.8%
Binge Drinking 15.0% 13.2%
Obesity 37.5% 39.5%
Disability Percentage 16.0% 20.0%

Health Statistics Comparison: Mount dora vs Fort smith

  • In Fort smith, a higher percentage report poor mental health at 19.6% compared to 17.0% in Mount dora.
  • Higher depression rates are seen in Fort smith at 27.8% versus 20.8% in Mount dora.
  • Fort smith has a higher smoking rate at 21.8% compared to 20.4% in Mount dora.
  • Binge drinking is more common in Mount dora at 15.0% compared to 13.2% in Fort smith.
  • Fort smith has higher obesity rates at 39.5% compared to 37.5% in Mount dora.
  • There is a higher percentage of disabled individuals in Fort smith at 20.0% compared to 16.0% in Mount dora.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Mount dora Fort smith
No Schooling 0.3% (47) 2.3% (2,029)
High School Diploma 16.5% (2,834) 14.8% (13,356)
Less than High School 8.2% (1,409) 19.8% (17,822)
Bachelor's Degree and Higher 25.6% (4,390) 16.4% (14,745)

Education Levels Comparison: Mount dora vs Fort smith

  • In Fort smith, a larger percentage of residents lack formal schooling at 2.3% compared to 0.3% in Mount dora.
  • A higher percentage of residents in Mount dora hold a high school diploma at 16.5% compared to 14.8% in Fort smith.
  • The percentage of residents with less than a high school education is higher in Fort smith at 19.8%, compared to 8.2% in Mount dora.
  • A higher percentage of residents in Mount dora hold a bachelor's degree or higher at 25.6% compared to 16.4% in Fort smith.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.