Demographics details for Mount dora, FL vs Fort mill, SC
Population Overview
Compare main population characteristics in Mount dora, FL vs Fort mill, SC.
| Data | Mount dora | Fort mill |
|---|---|---|
| Population | 17,160 | 30,940 |
| Median Age | 48.6 years | 36.7 years |
| Median Income | $65,774 | $128,125 |
| Married Families | 43.0% | 37.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Mount dora vs Fort mill
- The population in Fort mill is higher at 30,940, compared to 17,160 in Mount dora.
- Residents in Mount dora have a higher median age of 48.6 years compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125, compared to $65,774 in Mount dora.
- A higher percentage of married families is found in Mount dora at 43.0% compared to 37.0% in Fort mill.
- Mount dora has a higher poverty level at 12% compared to 5% in Fort mill.
- Fort mill has a higher unemployment rate at 4.1% compared to 3.2% in Mount dora.
Demographics
Demographics Mount dora vs Fort mill provide insight into the diversity of the communities to compare.
| Demographic | Mount dora | Fort mill |
|---|---|---|
| Black | 13 | 9 |
| White | 65 | 79 |
| Asian | Data is updating | 3 |
| Hispanic | 15 | 5 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount dora vs Fort mill
- A higher percentage of Black residents are in Mount dora at 13% compared to 9% in Fort mill.
- The percentage of White residents is higher in Fort mill at 79% compared to 65% in Mount dora.
- In Fort mill, the Asian population stands at 3%, greater than 0% in Mount dora.
- The Hispanic community is larger in Mount dora at 15% compared to 5% in Fort mill.
- More residents identify as two or more races in Mount dora at 7% compared to 4% in Fort mill.
- The percentage of American Indian residents is the same in both Mount dora and Fort mill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount dora | Fort mill |
|---|---|---|
| Mental Health Not Good | 17.0% | 15.4% |
| Physical Health Not Good | 11.6% | 9.4% |
| Depression | 20.8% | 21.1% |
| Smoking | 20.4% | 12.3% |
| Binge Drinking | 15.0% | 18.3% |
| Obesity | 37.5% | 31.6% |
| Disability Percentage | 16.0% | 5.0% |
Health Statistics Comparison: Mount dora vs Fort mill
- More residents in Mount dora report poor mental health at 17.0% compared to 15.4% in Fort mill.
- Higher depression rates are seen in Fort mill at 21.1% versus 20.8% in Mount dora.
- Smoking is more prevalent in Mount dora at 20.4% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Fort mill at 18.3% compared to 15.0% in Mount dora.
- Obesity rates are higher in Mount dora at 37.5% compared to 31.6% in Fort mill.
- Disability percentages are higher in Mount dora at 16.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount dora | Fort mill |
|---|---|---|
| No Schooling | 0.3% (47) | 0.3% (78) |
| High School Diploma | 16.5% (2,834) | 7.7% (2,372) |
| Less than High School | 8.2% (1,409) | 2.8% (879) |
| Bachelor's Degree and Higher | 25.6% (4,390) | 30.0% (9,271) |
Education Levels Comparison: Mount dora vs Fort mill
- The percentage of residents with no formal schooling is the same in both Mount dora and Fort mill at 0.3%.
- A higher percentage of residents in Mount dora hold a high school diploma at 16.5% compared to 7.7% in Fort mill.
- More residents in Mount dora have less than a high school education at 8.2% compared to 2.8% in Fort mill.
- In Fort mill, a larger share of residents have a bachelor's degree or higher at 30.0% compared to 25.6% in Mount dora.
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.