Demographics details for Wellington, FL vs Lena, MS
Population Overview
Compare main population characteristics in Wellington, FL vs Lena, MS.
| Data | Wellington | Lena |
|---|---|---|
| Population | 61,438 | 155 |
| Median Age | 41.5 years | 45.1 years |
| Median Income | $105,848 | $85,000 |
| Married Families | 45.0% | 25.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 3.3 | 5.0 |
Population Comparison: Wellington vs Lena
- In Wellington, the population is higher at 61,438, compared to 155 in Lena.
- The median age in Lena is higher at 45.1 years, compared to 41.5 years in Wellington.
- Wellington has a higher median income of $105,848 compared to $85,000 in Lena.
- A higher percentage of married families is found in Wellington at 45.0% compared to 25.0% in Lena.
- The poverty level is higher in Lena at 10%, compared to 8% in Wellington.
- Lena has a higher unemployment rate at 5.0% compared to 3.3% in Wellington.
Demographics
Demographics Wellington vs Lena provide insight into the diversity of the communities to compare.
| Demographic | Wellington | Lena |
|---|---|---|
| Black | 11 | 3 |
| White | 42 | 95 |
| Asian | 5 | Data is updating |
| Hispanic | 27 | 1 |
| Two or More Races | 15 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wellington vs Lena
- A higher percentage of Black residents are in Wellington at 11% compared to 3% in Lena.
- The percentage of White residents is higher in Lena at 95% compared to 42% in Wellington.
- The Asian population is larger in Wellington at 5% compared to 0% in Lena.
- The Hispanic community is larger in Wellington at 27% compared to 1% in Lena.
- More residents identify as two or more races in Wellington at 15% compared to 1% in Lena.
- The percentage of American Indian residents is the same in both Wellington and Lena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wellington | Lena |
|---|---|---|
| Mental Health Not Good | 14.1% | 19.0% |
| Physical Health Not Good | 8.5% | 14.7% |
| Depression | 17.2% | 24.7% |
| Smoking | 13.9% | 25.1% |
| Binge Drinking | 16.7% | 15.2% |
| Obesity | 24.0% | 40.6% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Wellington vs Lena
- In Lena, a higher percentage report poor mental health at 19.0% compared to 14.1% in Wellington.
- Higher depression rates are seen in Lena at 24.7% versus 17.2% in Wellington.
- Lena has a higher smoking rate at 25.1% compared to 13.9% in Wellington.
- Binge drinking is more common in Wellington at 16.7% compared to 15.2% in Lena.
- Lena has higher obesity rates at 40.6% compared to 24.0% in Wellington.
- There is a higher percentage of disabled individuals in Lena at 10.0% 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 | Lena |
|---|---|---|
| No Schooling | 0.7% (431) | 0.0% (Data is updating) |
| High School Diploma | 10.3% (6,304) | 8.4% (13) |
| Less than High School | 6.9% (4,234) | 5.2% (8) |
| Bachelor's Degree and Higher | 32.5% (19,977) | 14.8% (23) |
Education Levels Comparison: Wellington vs Lena
- A higher percentage of residents in Wellington have no formal schooling at 0.7% compared to 0.0% in Lena.
- A higher percentage of residents in Wellington hold a high school diploma at 10.3% compared to 8.4% in Lena.
- More residents in Wellington have less than a high school education at 6.9% compared to 5.2% in Lena.
- A higher percentage of residents in Wellington hold a bachelor's degree or higher at 32.5% compared to 14.8% in Lena.
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.