Demographics details for Sabin, MN vs Wellington, FL
Population Overview
Compare main population characteristics in Sabin, MN vs Wellington, FL.
| Data | Sabin | Wellington |
|---|---|---|
| Population | 610 | 61,438 |
| Median Age | 33.3 years | 41.5 years |
| Median Income | $118,750 | $105,848 |
| Married Families | 50.0% | 45.0% |
| Poverty Level | Data is updating | 8% |
| Unemployment Rate | 2.5 | 3.3 |
Population Comparison: Sabin vs Wellington
- The population in Wellington is higher at 61,438, compared to 610 in Sabin.
- The median age in Wellington is higher at 41.5 years, compared to 33.3 years in Sabin.
- Sabin has a higher median income of $118,750 compared to $105,848 in Wellington.
- A higher percentage of married families is found in Sabin at 50.0% compared to 45.0% in Wellington.
- The poverty level is higher in Wellington at 8%, compared to 0% in Sabin.
- Wellington has a higher unemployment rate at 3.3% compared to 2.5% in Sabin.
Demographics
Demographics Sabin vs Wellington provide insight into the diversity of the communities to compare.
| Demographic | Sabin | Wellington |
|---|---|---|
| Black | Data is updating | 11 |
| White | 82 | 42 |
| Asian | 1 | 5 |
| Hispanic | 3 | 27 |
| Two or More Races | 8 | 15 |
| American Indian | 6 | Data is updating |
Demographics Comparison: Sabin vs Wellington
- In Wellington, the percentage of Black residents is higher at 11% compared to 0% in Sabin.
- Sabin has a higher percentage of White residents at 82% compared to 42% in Wellington.
- In Wellington, the Asian population stands at 5%, greater than 1% in Sabin.
- Wellington has a higher percentage of Hispanic residents at 27%, compared to 3% in Sabin.
- The percentage of residents identifying as two or more races is higher in Wellington at 15%, compared to 8% in Sabin.
- A greater percentage of American Indian residents live in Sabin at 6% compared to 0% in Wellington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sabin | Wellington |
|---|---|---|
| Mental Health Not Good | 14.2% | 14.1% |
| Physical Health Not Good | 8.4% | 8.5% |
| Depression | 25.3% | 17.2% |
| Smoking | 15.3% | 13.9% |
| Binge Drinking | 20.6% | 16.7% |
| Obesity | 33.7% | 24.0% |
| Disability Percentage | 5.0% | 9.0% |
Health Statistics Comparison: Sabin vs Wellington
- More residents in Sabin report poor mental health at 14.2% compared to 14.1% in Wellington.
- Depression is more prevalent in Sabin at 25.3% compared to 17.2% in Wellington.
- Smoking is more prevalent in Sabin at 15.3% compared to 13.9% in Wellington.
- Binge drinking is more common in Sabin at 20.6% compared to 16.7% in Wellington.
- Obesity rates are higher in Sabin at 33.7% compared to 24.0% in Wellington.
- There is a higher percentage of disabled individuals in Wellington at 9.0% compared to 5.0% in Sabin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sabin | Wellington |
|---|---|---|
| No Schooling | 0.2% (1) | 0.7% (431) |
| High School Diploma | 14.1% (86) | 10.3% (6,304) |
| Less than High School | 3.6% (22) | 6.9% (4,234) |
| Bachelor's Degree and Higher | 17.9% (109) | 32.5% (19,977) |
Education Levels Comparison: Sabin vs Wellington
- In Wellington, a larger percentage of residents lack formal schooling at 0.7% compared to 0.2% in Sabin.
- A higher percentage of residents in Sabin hold a high school diploma at 14.1% compared to 10.3% in Wellington.
- The percentage of residents with less than a high school education is higher in Wellington at 6.9%, compared to 3.6% in Sabin.
- In Wellington, a larger share of residents have a bachelor's degree or higher at 32.5% compared to 17.9% in Sabin.
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.