Demographics details for Coral springs, FL vs Whitehall, WI
Population Overview
Compare main population characteristics in Coral springs, FL vs Whitehall, WI.
Data | Coral springs | Whitehall |
---|---|---|
Population | 133,369 | 1,632 |
Median Age | 36.8 years | 36.8 years |
Median Income | $87,488 | $56,894 |
Married Families | 40.0% | 30.0% |
Poverty Level | 9% | 7% |
Unemployment Rate | 3.3 | 3.6 |
Population Comparison: Coral springs vs Whitehall
- In Coral springs, the population is higher at 133,369, compared to 1,632 in Whitehall.
- The median age is the same in both Coral springs and Whitehall at 36.8 years.
- Coral springs has a higher median income of $87,488 compared to $56,894 in Whitehall.
- A higher percentage of married families is found in Coral springs at 40.0% compared to 30.0% in Whitehall.
- Coral springs has a higher poverty level at 9% compared to 7% in Whitehall.
- Whitehall has a higher unemployment rate at 3.6% compared to 3.3% in Coral springs.
Demographics
Demographics Coral springs vs Whitehall provide insight into the diversity of the communities to compare.
Demographic | Coral springs | Whitehall |
---|---|---|
Black | 25 | 1 |
White | 25 | 83 |
Asian | 6 | Data is updating |
Hispanic | 29 | 12 |
Two or More Races | 15 | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Coral springs vs Whitehall
- A higher percentage of Black residents are in Coral springs at 25% compared to 1% in Whitehall.
- The percentage of White residents is higher in Whitehall at 83% compared to 25% in Coral springs.
- The Asian population is larger in Coral springs at 6% compared to 0% in Whitehall.
- The Hispanic community is larger in Coral springs at 29% compared to 12% in Whitehall.
- More residents identify as two or more races in Coral springs at 15% compared to 3% in Whitehall.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Coral springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Coral springs | Whitehall |
---|---|---|
Mental Health Not Good | 14.9% | 15.2% |
Physical Health Not Good | 9.5% | 10.3% |
Depression | 17.1% | 24.0% |
Smoking | 15.1% | 16.7% |
Binge Drinking | 15.4% | 24.4% |
Obesity | 27.3% | 34.9% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Coral springs vs Whitehall
- In Whitehall, a higher percentage report poor mental health at 15.2% compared to 14.9% in Coral springs.
- Higher depression rates are seen in Whitehall at 24.0% versus 17.1% in Coral springs.
- Whitehall has a higher smoking rate at 16.7% compared to 15.1% in Coral springs.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 15.4% in Coral springs.
- Whitehall has higher obesity rates at 34.9% compared to 27.3% in Coral springs.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 9.0% in Coral springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Coral springs | Whitehall |
---|---|---|
No Schooling | 0.9% (1,208) | 0.4% (7) |
High School Diploma | 13.8% (18,441) | 24.4% (398) |
Less than High School | 6.2% (8,208) | 15.7% (256) |
Bachelor's Degree and Higher | 25.6% (34,184) | 8.6% (141) |
Education Levels Comparison: Coral springs vs Whitehall
- A higher percentage of residents in Coral springs have no formal schooling at 0.9% compared to 0.4% in Whitehall.
- In Whitehall, the rate of residents with high school diplomas is higher at 24.4% compared to 13.8% in Coral springs.
- The percentage of residents with less than a high school education is higher in Whitehall at 15.7%, compared to 6.2% in Coral springs.
- A higher percentage of residents in Coral springs hold a bachelor's degree or higher at 25.6% compared to 8.6% in Whitehall.
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.