Demographics details for Sanborn, NY vs Wellington, FL
Population Overview
Compare main population characteristics in Sanborn, NY vs Wellington, FL.
| Data | Sanborn | Wellington |
|---|---|---|
| Population | 1,499 | 61,438 |
| Median Age | 35.2 years | 41.5 years |
| Median Income | $75,109 | $105,848 |
| Married Families | 34.0% | 45.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 4.5 | 3.3 |
Population Comparison: Sanborn vs Wellington
- The population in Wellington is higher at 61,438, compared to 1,499 in Sanborn.
- The median age in Wellington is higher at 41.5 years, compared to 35.2 years in Sanborn.
- Wellington has a higher median income of $105,848, compared to $75,109 in Sanborn.
- In Wellington, the percentage of married families is higher at 45.0%, compared to 34.0% in Sanborn.
- Sanborn has a higher poverty level at 9% compared to 8% in Wellington.
- The unemployment rate in Sanborn is higher at 4.5%, compared to 3.3% in Wellington.
Demographics
Demographics Sanborn vs Wellington provide insight into the diversity of the communities to compare.
| Demographic | Sanborn | Wellington |
|---|---|---|
| Black | 1 | 11 |
| White | 94 | 42 |
| Asian | Data is updating | 5 |
| Hispanic | 1 | 27 |
| Two or More Races | 4 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanborn vs Wellington
- In Wellington, the percentage of Black residents is higher at 11% compared to 1% in Sanborn.
- Sanborn has a higher percentage of White residents at 94% compared to 42% in Wellington.
- In Wellington, the Asian population stands at 5%, greater than 0% in Sanborn.
- Wellington has a higher percentage of Hispanic residents at 27%, compared to 1% in Sanborn.
- The percentage of residents identifying as two or more races is higher in Wellington at 15%, compared to 4% in Sanborn.
- The percentage of American Indian residents is the same in both Sanborn and Wellington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanborn | Wellington |
|---|---|---|
| Mental Health Not Good | 15.5% | 14.1% |
| Physical Health Not Good | 9.4% | 8.5% |
| Depression | 24.9% | 17.2% |
| Smoking | 17.7% | 13.9% |
| Binge Drinking | 20.0% | 16.7% |
| Obesity | 32.9% | 24.0% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Sanborn vs Wellington
- More residents in Sanborn report poor mental health at 15.5% compared to 14.1% in Wellington.
- Depression is more prevalent in Sanborn at 24.9% compared to 17.2% in Wellington.
- Smoking is more prevalent in Sanborn at 17.7% compared to 13.9% in Wellington.
- Binge drinking is more common in Sanborn at 20.0% compared to 16.7% in Wellington.
- Obesity rates are higher in Sanborn at 32.9% compared to 24.0% in Wellington.
- Disability percentages are the same in both Sanborn and Wellington at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sanborn | Wellington |
|---|---|---|
| No Schooling | 3.9% (58) | 0.7% (431) |
| High School Diploma | 19.6% (294) | 10.3% (6,304) |
| Less than High School | 16.0% (240) | 6.9% (4,234) |
| Bachelor's Degree and Higher | 13.9% (209) | 32.5% (19,977) |
Education Levels Comparison: Sanborn vs Wellington
- A higher percentage of residents in Sanborn have no formal schooling at 3.9% compared to 0.7% in Wellington.
- A higher percentage of residents in Sanborn hold a high school diploma at 19.6% compared to 10.3% in Wellington.
- More residents in Sanborn have less than a high school education at 16.0% 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 13.9% in Sanborn.
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.