Demographics details for Wellington, FL vs Ripley, TN
Population Overview
Compare main population characteristics in Wellington, FL vs Ripley, TN.
| Data | Wellington | Ripley |
|---|---|---|
| Population | 61,438 | 7,672 |
| Median Age | 41.5 years | 36.7 years |
| Median Income | $105,848 | $39,454 |
| Married Families | 45.0% | 26.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.3 | 5.2 |
Population Comparison: Wellington vs Ripley
- In Wellington, the population is higher at 61,438, compared to 7,672 in Ripley.
- Residents in Wellington have a higher median age of 41.5 years compared to 36.7 years in Ripley.
- Wellington has a higher median income of $105,848 compared to $39,454 in Ripley.
- A higher percentage of married families is found in Wellington at 45.0% compared to 26.0% in Ripley.
- The poverty level is higher in Ripley at 18%, compared to 8% in Wellington.
- Ripley has a higher unemployment rate at 5.2% compared to 3.3% in Wellington.
Demographics
Demographics Wellington vs Ripley provide insight into the diversity of the communities to compare.
| Demographic | Wellington | Ripley |
|---|---|---|
| Black | 11 | 58 |
| White | 42 | 37 |
| Asian | 5 | Data is updating |
| Hispanic | 27 | 1 |
| Two or More Races | 15 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wellington vs Ripley
- In Ripley, the percentage of Black residents is higher at 58% compared to 11% in Wellington.
- Wellington has a higher percentage of White residents at 42% compared to 37% in Ripley.
- The Asian population is larger in Wellington at 5% compared to 0% in Ripley.
- The Hispanic community is larger in Wellington at 27% compared to 1% in Ripley.
- More residents identify as two or more races in Wellington at 15% compared to 4% in Ripley.
- The percentage of American Indian residents is the same in both Wellington and Ripley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wellington | Ripley |
|---|---|---|
| Mental Health Not Good | 14.1% | 23.0% |
| Physical Health Not Good | 8.5% | 17.9% |
| Depression | 17.2% | 27.8% |
| Smoking | 13.9% | 30.2% |
| Binge Drinking | 16.7% | 11.9% |
| Obesity | 24.0% | 45.0% |
| Disability Percentage | 9.0% | 25.0% |
Health Statistics Comparison: Wellington vs Ripley
- In Ripley, a higher percentage report poor mental health at 23.0% compared to 14.1% in Wellington.
- Higher depression rates are seen in Ripley at 27.8% versus 17.2% in Wellington.
- Ripley has a higher smoking rate at 30.2% compared to 13.9% in Wellington.
- Binge drinking is more common in Wellington at 16.7% compared to 11.9% in Ripley.
- Ripley has higher obesity rates at 45.0% compared to 24.0% in Wellington.
- There is a higher percentage of disabled individuals in Ripley at 25.0% compared to 9.0% in Wellington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wellington | Ripley |
|---|---|---|
| No Schooling | 0.7% (431) | 1.1% (86) |
| High School Diploma | 10.3% (6,304) | 21.9% (1,679) |
| Less than High School | 6.9% (4,234) | 15.3% (1,172) |
| Bachelor's Degree and Higher | 32.5% (19,977) | 8.2% (632) |
Education Levels Comparison: Wellington vs Ripley
- In Ripley, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in Wellington.
- In Ripley, the rate of residents with high school diplomas is higher at 21.9% compared to 10.3% in Wellington.
- The percentage of residents with less than a high school education is higher in Ripley at 15.3%, compared to 6.9% in Wellington.
- A higher percentage of residents in Wellington hold a bachelor's degree or higher at 32.5% compared to 8.2% in Ripley.
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.