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.