Demographics details for Bee, NE vs Wellington, FL
Population Overview
Compare main population characteristics in Bee, NE vs Wellington, FL.
| Data | Bee | Wellington |
|---|---|---|
| Population | 169 | 61,438 |
| Median Age | 35.9 years | 41.5 years |
| Median Income | $63,750 | $105,848 |
| Married Families | 68.0% | 45.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 2.5 | 3.3 |
Population Comparison: Bee vs Wellington
- The population in Wellington is higher at 61,438, compared to 169 in Bee.
- The median age in Wellington is higher at 41.5 years, compared to 35.9 years in Bee.
- Wellington has a higher median income of $105,848, compared to $63,750 in Bee.
- A higher percentage of married families is found in Bee at 68.0% compared to 45.0% in Wellington.
- The poverty level is higher in Wellington at 8%, compared to 5% in Bee.
- Wellington has a higher unemployment rate at 3.3% compared to 2.5% in Bee.
Demographics
Demographics Bee vs Wellington provide insight into the diversity of the communities to compare.
| Demographic | Bee | Wellington |
|---|---|---|
| Black | Data is updating | 11 |
| White | 99 | 42 |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 27 |
| Two or More Races | 1 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bee vs Wellington
- In Wellington, the percentage of Black residents is higher at 11% compared to 0% in Bee.
- Bee has a higher percentage of White residents at 99% compared to 42% in Wellington.
- In Wellington, the Asian population stands at 5%, greater than 0% in Bee.
- Wellington has a higher percentage of Hispanic residents at 27%, compared to 0% in Bee.
- The percentage of residents identifying as two or more races is higher in Wellington at 15%, compared to 1% in Bee.
- The percentage of American Indian residents is the same in both Bee and Wellington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bee | Wellington |
|---|---|---|
| Mental Health Not Good | 12.8% | 14.1% |
| Physical Health Not Good | 8.3% | 8.5% |
| Depression | 16.7% | 17.2% |
| Smoking | 13.6% | 13.9% |
| Binge Drinking | 22.4% | 16.7% |
| Obesity | 35.0% | 24.0% |
| Disability Percentage | 37.0% | 9.0% |
Health Statistics Comparison: Bee vs Wellington
- In Wellington, a higher percentage report poor mental health at 14.1% compared to 12.8% in Bee.
- Higher depression rates are seen in Wellington at 17.2% versus 16.7% in Bee.
- Wellington has a higher smoking rate at 13.9% compared to 13.6% in Bee.
- Binge drinking is more common in Bee at 22.4% compared to 16.7% in Wellington.
- Obesity rates are higher in Bee at 35.0% compared to 24.0% in Wellington.
- Disability percentages are higher in Bee at 37.0% 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 | Bee | Wellington |
|---|---|---|
| No Schooling | 1.2% (2) | 0.7% (431) |
| High School Diploma | 26.6% (45) | 10.3% (6,304) |
| Less than High School | 8.3% (14) | 6.9% (4,234) |
| Bachelor's Degree and Higher | 10.1% (17) | 32.5% (19,977) |
Education Levels Comparison: Bee vs Wellington
- A higher percentage of residents in Bee have no formal schooling at 1.2% compared to 0.7% in Wellington.
- A higher percentage of residents in Bee hold a high school diploma at 26.6% compared to 10.3% in Wellington.
- More residents in Bee have less than a high school education at 8.3% compared to 6.9% in Wellington.
- In Wellington, a larger share of residents have a bachelor's degree or higher at 32.5% compared to 10.1% in Bee.
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.