Demographics details for Mount dora, FL vs Avella, PA
Population Overview
Compare main population characteristics in Mount dora, FL vs Avella, PA.
| Data | Mount dora | Avella |
|---|---|---|
| Population | 17,160 | 798 |
| Median Age | 48.6 years | 33.2 years |
| Median Income | $65,774 | $61,806 |
| Married Families | 43.0% | 28.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Mount dora vs Avella
- In Mount dora, the population is higher at 17,160, compared to 798 in Avella.
- Residents in Mount dora have a higher median age of 48.6 years compared to 33.2 years in Avella.
- Mount dora has a higher median income of $65,774 compared to $61,806 in Avella.
- A higher percentage of married families is found in Mount dora at 43.0% compared to 28.0% in Avella.
- Mount dora has a higher poverty level at 12% compared to 10% in Avella.
- Avella has a higher unemployment rate at 4.5% compared to 3.2% in Mount dora.
Demographics
Demographics Mount dora vs Avella provide insight into the diversity of the communities to compare.
| Demographic | Mount dora | Avella |
|---|---|---|
| Black | 13 | Data is updating |
| White | 65 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 15 | Data is updating |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount dora vs Avella
- A higher percentage of Black residents are in Mount dora at 13% compared to 0% in Avella.
- The percentage of White residents is higher in Avella at 96% compared to 65% in Mount dora.
- Both Mount dora and Avella have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mount dora at 15% compared to 0% in Avella.
- More residents identify as two or more races in Mount dora at 7% compared to 4% in Avella.
- The percentage of American Indian residents is the same in both Mount dora and Avella at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount dora | Avella |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.5% |
| Physical Health Not Good | 11.6% | 11.0% |
| Depression | 20.8% | 22.2% |
| Smoking | 20.4% | 19.0% |
| Binge Drinking | 15.0% | 19.1% |
| Obesity | 37.5% | 34.4% |
| Disability Percentage | 16.0% | 27.0% |
Health Statistics Comparison: Mount dora vs Avella
- More residents in Mount dora report poor mental health at 17.0% compared to 16.5% in Avella.
- Higher depression rates are seen in Avella at 22.2% versus 20.8% in Mount dora.
- Smoking is more prevalent in Mount dora at 20.4% compared to 19.0% in Avella.
- More residents engage in binge drinking in Avella at 19.1% compared to 15.0% in Mount dora.
- Obesity rates are higher in Mount dora at 37.5% compared to 34.4% in Avella.
- There is a higher percentage of disabled individuals in Avella at 27.0% 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 | Avella |
|---|---|---|
| No Schooling | 0.3% (47) | 0.0% (Data is updating) |
| High School Diploma | 16.5% (2,834) | 26.6% (212) |
| Less than High School | 8.2% (1,409) | 17.3% (138) |
| Bachelor's Degree and Higher | 25.6% (4,390) | 7.5% (60) |
Education Levels Comparison: Mount dora vs Avella
- A higher percentage of residents in Mount dora have no formal schooling at 0.3% compared to 0.0% in Avella.
- In Avella, the rate of residents with high school diplomas is higher at 26.6% compared to 16.5% in Mount dora.
- The percentage of residents with less than a high school education is higher in Avella at 17.3%, 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 7.5% in Avella.
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.