Demographics details for Mount dora, FL vs South solon, OH

Population Overview

Compare main population characteristics in Mount dora, FL vs South solon, OH.

Data Mount dora South solon
Population 17,160 327
Median Age 48.6 years 39.8 years
Median Income $65,774 $56,563
Married Families 43.0% 48.0%
Poverty Level 12% 12%
Unemployment Rate 3.2 3.5

Population Comparison: Mount dora vs South solon

  • In Mount dora, the population is higher at 17,160, compared to 327 in South solon.
  • Residents in Mount dora have a higher median age of 48.6 years compared to 39.8 years in South solon.
  • Mount dora has a higher median income of $65,774 compared to $56,563 in South solon.
  • In South solon, the percentage of married families is higher at 48.0%, compared to 43.0% in Mount dora.
  • The poverty level is identical in both Mount dora and South solon at 12%.
  • South solon has a higher unemployment rate at 3.5% compared to 3.2% in Mount dora.

Demographics

Demographics Mount dora vs South solon provide insight into the diversity of the communities to compare.

Demographic Mount dora South solon
Black 13 Data is updating
White 65 70
Asian Data is updating Data is updating
Hispanic 15 20
Two or More Races 7 10
American Indian Data is updating Data is updating

Demographics Comparison: Mount dora vs South solon

  • A higher percentage of Black residents are in Mount dora at 13% compared to 0% in South solon.
  • The percentage of White residents is higher in South solon at 70% compared to 65% in Mount dora.
  • Both Mount dora and South solon have the same percentage of Asian residents at 0%.
  • South solon has a higher percentage of Hispanic residents at 20%, compared to 15% in Mount dora.
  • The percentage of residents identifying as two or more races is higher in South solon at 10%, compared to 7% in Mount dora.
  • The percentage of American Indian residents is the same in both Mount dora and South solon at 0%.

Health Statistics

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

Health Metric Mount dora South solon
Mental Health Not Good 17.0% 17.7%
Physical Health Not Good 11.6% 11.9%
Depression 20.8% 24.2%
Smoking 20.4% 21.3%
Binge Drinking 15.0% 19.1%
Obesity 37.5% 40.5%
Disability Percentage 16.0% 16.0%

Health Statistics Comparison: Mount dora vs South solon

  • In South solon, a higher percentage report poor mental health at 17.7% compared to 17.0% in Mount dora.
  • Higher depression rates are seen in South solon at 24.2% versus 20.8% in Mount dora.
  • South solon has a higher smoking rate at 21.3% compared to 20.4% in Mount dora.
  • More residents engage in binge drinking in South solon at 19.1% compared to 15.0% in Mount dora.
  • South solon has higher obesity rates at 40.5% compared to 37.5% in Mount dora.
  • Disability percentages are the same in both Mount dora and South solon at 16.0%.

Education Levels

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

Education Level Mount dora South solon
No Schooling 0.3% (47) 0.3% (1)
High School Diploma 16.5% (2,834) 41.0% (134)
Less than High School 8.2% (1,409) 21.4% (70)
Bachelor's Degree and Higher 25.6% (4,390) 7.6% (25)

Education Levels Comparison: Mount dora vs South solon

  • The percentage of residents with no formal schooling is the same in both Mount dora and South solon at 0.3%.
  • In South solon, the rate of residents with high school diplomas is higher at 41.0% compared to 16.5% in Mount dora.
  • The percentage of residents with less than a high school education is higher in South solon at 21.4%, 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 7.6% in South solon.

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.