Demographics details for Mount dora, FL vs Hickman, KY
Population Overview
Compare main population characteristics in Mount dora, FL vs Hickman, KY.
| Data | Mount dora | Hickman |
|---|---|---|
| Population | 17,160 | 4,422 |
| Median Age | 48.6 years | 46.6 years |
| Median Income | $65,774 | $68,589 |
| Married Families | 43.0% | 41.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.2 | 5.7 |
Population Comparison: Mount dora vs Hickman
- In Mount dora, the population is higher at 17,160, compared to 4,422 in Hickman.
- Residents in Mount dora have a higher median age of 48.6 years compared to 46.6 years in Hickman.
- Hickman has a higher median income of $68,589, compared to $65,774 in Mount dora.
- A higher percentage of married families is found in Mount dora at 43.0% compared to 41.0% in Hickman.
- The poverty level is identical in both Mount dora and Hickman at 12%.
- Hickman has a higher unemployment rate at 5.7% compared to 3.2% in Mount dora.
Demographics
Demographics Mount dora vs Hickman provide insight into the diversity of the communities to compare.
| Demographic | Mount dora | Hickman |
|---|---|---|
| Black | 13 | 10 |
| White | 65 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 15 | 2 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount dora vs Hickman
- A higher percentage of Black residents are in Mount dora at 13% compared to 10% in Hickman.
- The percentage of White residents is higher in Hickman at 85% compared to 65% in Mount dora.
- Both Mount dora and Hickman have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mount dora at 15% compared to 2% in Hickman.
- More residents identify as two or more races in Mount dora at 7% compared to 3% in Hickman.
- The percentage of American Indian residents is the same in both Mount dora and Hickman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount dora | Hickman |
|---|---|---|
| Mental Health Not Good | 17.0% | 19.6% |
| Physical Health Not Good | 11.6% | 14.9% |
| Depression | 20.8% | 27.9% |
| Smoking | 20.4% | 23.5% |
| Binge Drinking | 15.0% | 14.4% |
| Obesity | 37.5% | 38.9% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Mount dora vs Hickman
- In Hickman, a higher percentage report poor mental health at 19.6% compared to 17.0% in Mount dora.
- Higher depression rates are seen in Hickman at 27.9% versus 20.8% in Mount dora.
- Hickman has a higher smoking rate at 23.5% compared to 20.4% in Mount dora.
- Binge drinking is more common in Mount dora at 15.0% compared to 14.4% in Hickman.
- Hickman has higher obesity rates at 38.9% compared to 37.5% in Mount dora.
- There is a higher percentage of disabled individuals in Hickman 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 | Hickman |
|---|---|---|
| No Schooling | 0.3% (47) | 0.2% (11) |
| High School Diploma | 16.5% (2,834) | 23.3% (1,029) |
| Less than High School | 8.2% (1,409) | 15.5% (685) |
| Bachelor's Degree and Higher | 25.6% (4,390) | 16.5% (728) |
Education Levels Comparison: Mount dora vs Hickman
- A higher percentage of residents in Mount dora have no formal schooling at 0.3% compared to 0.2% in Hickman.
- In Hickman, the rate of residents with high school diplomas is higher at 23.3% compared to 16.5% in Mount dora.
- The percentage of residents with less than a high school education is higher in Hickman at 15.5%, 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 Hickman.
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.