Demographics details for Tampa, FL vs Mount vernon, KY
Population Overview
Compare main population characteristics in Tampa, FL vs Mount vernon, KY.
| Data | Tampa | Mount vernon |
|---|---|---|
| Population | 398,173 | 2,472 |
| Median Age | 35.5 years | 45.4 years |
| Median Income | $66,802 | $34,550 |
| Married Families | 31.0% | 36.0% |
| Poverty Level | 17% | 15% |
| Unemployment Rate | 3.7 | 4.2 |
Population Comparison: Tampa vs Mount vernon
- In Tampa, the population is higher at 398,173, compared to 2,472 in Mount vernon.
- The median age in Mount vernon is higher at 45.4 years, compared to 35.5 years in Tampa.
- Tampa has a higher median income of $66,802 compared to $34,550 in Mount vernon.
- In Mount vernon, the percentage of married families is higher at 36.0%, compared to 31.0% in Tampa.
- Tampa has a higher poverty level at 17% compared to 15% in Mount vernon.
- Mount vernon has a higher unemployment rate at 4.2% compared to 3.7% in Tampa.
Demographics
Demographics Tampa vs Mount vernon provide insight into the diversity of the communities to compare.
| Demographic | Tampa | Mount vernon |
|---|---|---|
| Black | 21 | Data is updating |
| White | 35 | 94 |
| Asian | 5 | Data is updating |
| Hispanic | 26 | Data is updating |
| Two or More Races | 13 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tampa vs Mount vernon
- A higher percentage of Black residents are in Tampa at 21% compared to 0% in Mount vernon.
- The percentage of White residents is higher in Mount vernon at 94% compared to 35% in Tampa.
- The Asian population is larger in Tampa at 5% compared to 0% in Mount vernon.
- The Hispanic community is larger in Tampa at 26% compared to 0% in Mount vernon.
- More residents identify as two or more races in Tampa at 13% compared to 6% in Mount vernon.
- The percentage of American Indian residents is the same in both Tampa and Mount vernon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tampa | Mount vernon |
|---|---|---|
| Mental Health Not Good | 15.8% | 21.3% |
| Physical Health Not Good | 11.8% | 16.3% |
| Depression | 17.6% | 30.7% |
| Smoking | 18.0% | 26.1% |
| Binge Drinking | 15.8% | 14.3% |
| Obesity | 31.6% | 43.2% |
| Disability Percentage | 11.0% | 23.0% |
Health Statistics Comparison: Tampa vs Mount vernon
- In Mount vernon, a higher percentage report poor mental health at 21.3% compared to 15.8% in Tampa.
- Higher depression rates are seen in Mount vernon at 30.7% versus 17.6% in Tampa.
- Mount vernon has a higher smoking rate at 26.1% compared to 18.0% in Tampa.
- Binge drinking is more common in Tampa at 15.8% compared to 14.3% in Mount vernon.
- Mount vernon has higher obesity rates at 43.2% compared to 31.6% in Tampa.
- There is a higher percentage of disabled individuals in Mount vernon at 23.0% compared to 11.0% in Tampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tampa | Mount vernon |
|---|---|---|
| No Schooling | 1.2% (4,784) | 0.5% (12) |
| High School Diploma | 13.0% (51,749) | 17.4% (431) |
| Less than High School | 12.2% (48,642) | 32.8% (810) |
| Bachelor's Degree and Higher | 28.7% (114,410) | 7.4% (183) |
Education Levels Comparison: Tampa vs Mount vernon
- A higher percentage of residents in Tampa have no formal schooling at 1.2% compared to 0.5% in Mount vernon.
- In Mount vernon, the rate of residents with high school diplomas is higher at 17.4% compared to 13.0% in Tampa.
- The percentage of residents with less than a high school education is higher in Mount vernon at 32.8%, compared to 12.2% in Tampa.
- A higher percentage of residents in Tampa hold a bachelor's degree or higher at 28.7% compared to 7.4% in Mount vernon.
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.