Demographics details for Wellington, FL vs Waxhaw, NC
Population Overview
Compare main population characteristics in Wellington, FL vs Waxhaw, NC.
Data | Wellington | Waxhaw |
---|---|---|
Population | 61,438 | 22,533 |
Median Age | 41.5 years | 35.7 years |
Median Income | $105,848 | $124,711 |
Married Families | 45.0% | 41.0% |
Poverty Level | 8% | 4% |
Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Wellington vs Waxhaw
- In Wellington, the population is higher at 61,438, compared to 22,533 in Waxhaw.
- Residents in Wellington have a higher median age of 41.5 years compared to 35.7 years in Waxhaw.
- Waxhaw has a higher median income of $124,711, compared to $105,848 in Wellington.
- A higher percentage of married families is found in Wellington at 45.0% compared to 41.0% in Waxhaw.
- Wellington has a higher poverty level at 8% compared to 4% in Waxhaw.
- The unemployment rate in Wellington is higher at 3.3%, compared to 3.2% in Waxhaw.
Demographics
Demographics Wellington vs Waxhaw provide insight into the diversity of the communities to compare.
Demographic | Wellington | Waxhaw |
---|---|---|
Black | 11 | 8 |
White | 42 | 70 |
Asian | 5 | 5 |
Hispanic | 27 | 9 |
Two or More Races | 15 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wellington vs Waxhaw
- A higher percentage of Black residents are in Wellington at 11% compared to 8% in Waxhaw.
- The percentage of White residents is higher in Waxhaw at 70% compared to 42% in Wellington.
- Both Wellington and Waxhaw have the same percentage of Asian residents at 5%.
- The Hispanic community is larger in Wellington at 27% compared to 9% in Waxhaw.
- More residents identify as two or more races in Wellington at 15% compared to 8% in Waxhaw.
- The percentage of American Indian residents is the same in both Wellington and Waxhaw at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wellington | Waxhaw |
---|---|---|
Mental Health Not Good | 14.1% | 13.4% |
Physical Health Not Good | 8.5% | 8.1% |
Depression | 17.2% | 21.1% |
Smoking | 13.9% | 11.0% |
Binge Drinking | 16.7% | 18.9% |
Obesity | 24.0% | 29.3% |
Disability Percentage | 9.0% | 5.0% |
Health Statistics Comparison: Wellington vs Waxhaw
- More residents in Wellington report poor mental health at 14.1% compared to 13.4% in Waxhaw.
- Higher depression rates are seen in Waxhaw at 21.1% versus 17.2% in Wellington.
- Smoking is more prevalent in Wellington at 13.9% compared to 11.0% in Waxhaw.
- More residents engage in binge drinking in Waxhaw at 18.9% compared to 16.7% in Wellington.
- Waxhaw has higher obesity rates at 29.3% compared to 24.0% in Wellington.
- Disability percentages are higher in Wellington at 9.0% compared to 5.0% in Waxhaw.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wellington | Waxhaw |
---|---|---|
No Schooling | 0.7% (431) | 0.3% (58) |
High School Diploma | 10.3% (6,304) | 7.6% (1,708) |
Less than High School | 6.9% (4,234) | 3.5% (785) |
Bachelor's Degree and Higher | 32.5% (19,977) | 29.3% (6,610) |
Education Levels Comparison: Wellington vs Waxhaw
- A higher percentage of residents in Wellington have no formal schooling at 0.7% compared to 0.3% in Waxhaw.
- A higher percentage of residents in Wellington hold a high school diploma at 10.3% compared to 7.6% in Waxhaw.
- More residents in Wellington have less than a high school education at 6.9% compared to 3.5% in Waxhaw.
- A higher percentage of residents in Wellington hold a bachelor's degree or higher at 32.5% compared to 29.3% in Waxhaw.
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.