Demographics details for Mount dora, FL vs Seaside, CA
Population Overview
Compare main population characteristics in Mount dora, FL vs Seaside, CA.
| Data | Mount dora | Seaside |
|---|---|---|
| Population | 17,160 | 31,478 |
| Median Age | 48.6 years | 34.0 years |
| Median Income | $65,774 | $80,239 |
| Married Families | 43.0% | 36.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Mount dora vs Seaside
- The population in Seaside is higher at 31,478, compared to 17,160 in Mount dora.
- Residents in Mount dora have a higher median age of 48.6 years compared to 34.0 years in Seaside.
- Seaside has a higher median income of $80,239, compared to $65,774 in Mount dora.
- A higher percentage of married families is found in Mount dora at 43.0% compared to 36.0% in Seaside.
- The poverty level is higher in Seaside at 13%, compared to 12% in Mount dora.
- Seaside has a higher unemployment rate at 4.1% compared to 3.2% in Mount dora.
Demographics
Demographics Mount dora vs Seaside provide insight into the diversity of the communities to compare.
| Demographic | Mount dora | Seaside |
|---|---|---|
| Black | 13 | 6 |
| White | 65 | 24 |
| Asian | Data is updating | 11 |
| Hispanic | 15 | 46 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount dora vs Seaside
- A higher percentage of Black residents are in Mount dora at 13% compared to 6% in Seaside.
- Mount dora has a higher percentage of White residents at 65% compared to 24% in Seaside.
- In Seaside, the Asian population stands at 11%, greater than 0% in Mount dora.
- Seaside has a higher percentage of Hispanic residents at 46%, compared to 15% in Mount dora.
- The percentage of residents identifying as two or more races is higher in Seaside at 13%, compared to 7% in Mount dora.
- The percentage of American Indian residents is the same in both Mount dora and Seaside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount dora | Seaside |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.5% |
| Physical Health Not Good | 11.6% | 12.1% |
| Depression | 20.8% | 18.8% |
| Smoking | 20.4% | 13.4% |
| Binge Drinking | 15.0% | 15.1% |
| Obesity | 37.5% | 27.5% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Mount dora vs Seaside
- More residents in Mount dora report poor mental health at 17.0% compared to 16.5% in Seaside.
- Depression is more prevalent in Mount dora at 20.8% compared to 18.8% in Seaside.
- Smoking is more prevalent in Mount dora at 20.4% compared to 13.4% in Seaside.
- More residents engage in binge drinking in Seaside at 15.1% compared to 15.0% in Mount dora.
- Obesity rates are higher in Mount dora at 37.5% compared to 27.5% in Seaside.
- Disability percentages are higher in Mount dora at 16.0% compared to 11.0% in Seaside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount dora | Seaside |
|---|---|---|
| No Schooling | 0.3% (47) | 1.8% (565) |
| High School Diploma | 16.5% (2,834) | 12.2% (3,848) |
| Less than High School | 8.2% (1,409) | 22.0% (6,935) |
| Bachelor's Degree and Higher | 25.6% (4,390) | 16.5% (5,200) |
Education Levels Comparison: Mount dora vs Seaside
- In Seaside, a larger percentage of residents lack formal schooling at 1.8% 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 12.2% in Seaside.
- The percentage of residents with less than a high school education is higher in Seaside at 22.0%, 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 16.5% in Seaside.
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.