Demographics details for Pompano beach, FL vs Wheeler, WI
Population Overview
Compare main population characteristics in Pompano beach, FL vs Wheeler, WI.
| Data | Pompano beach | Wheeler |
|---|---|---|
| Population | 112,302 | 331 |
| Median Age | 41.5 years | 42.6 years |
| Median Income | $61,155 | $54,167 |
| Married Families | 33.0% | 31.0% |
| Poverty Level | 11% | 8% |
| Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Pompano beach vs Wheeler
- In Pompano beach, the population is higher at 112,302, compared to 331 in Wheeler.
- The median age in Wheeler is higher at 42.6 years, compared to 41.5 years in Pompano beach.
- Pompano beach has a higher median income of $61,155 compared to $54,167 in Wheeler.
- A higher percentage of married families is found in Pompano beach at 33.0% compared to 31.0% in Wheeler.
- Pompano beach has a higher poverty level at 11% compared to 8% in Wheeler.
- Wheeler has a higher unemployment rate at 4.0% compared to 3.8% in Pompano beach.
Demographics
Demographics Pompano beach vs Wheeler provide insight into the diversity of the communities to compare.
| Demographic | Pompano beach | Wheeler |
|---|---|---|
| Black | 30 | Data is updating |
| White | 30 | 94 |
| Asian | 2 | Data is updating |
| Hispanic | 24 | 4 |
| Two or More Races | 14 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pompano beach vs Wheeler
- A higher percentage of Black residents are in Pompano beach at 30% compared to 0% in Wheeler.
- The percentage of White residents is higher in Wheeler at 94% compared to 30% in Pompano beach.
- The Asian population is larger in Pompano beach at 2% compared to 0% in Wheeler.
- The Hispanic community is larger in Pompano beach at 24% compared to 4% in Wheeler.
- More residents identify as two or more races in Pompano beach at 14% compared to 2% in Wheeler.
- The percentage of American Indian residents is the same in both Pompano beach and Wheeler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pompano beach | Wheeler |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.9% |
| Physical Health Not Good | 12.2% | 10.8% |
| Depression | 18.1% | 24.4% |
| Smoking | 20.9% | 17.9% |
| Binge Drinking | 14.9% | 23.6% |
| Obesity | 31.4% | 37.4% |
| Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Pompano beach vs Wheeler
- More residents in Pompano beach report poor mental health at 16.7% compared to 15.9% in Wheeler.
- Higher depression rates are seen in Wheeler at 24.4% versus 18.1% in Pompano beach.
- Smoking is more prevalent in Pompano beach at 20.9% compared to 17.9% in Wheeler.
- More residents engage in binge drinking in Wheeler at 23.6% compared to 14.9% in Pompano beach.
- Wheeler has higher obesity rates at 37.4% compared to 31.4% in Pompano beach.
- There is a higher percentage of disabled individuals in Wheeler at 24.0% compared to 13.0% in Pompano beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pompano beach | Wheeler |
|---|---|---|
| No Schooling | 1.9% (2,095) | 0.0% (Data is updating) |
| High School Diploma | 18.0% (20,172) | 18.1% (60) |
| Less than High School | 17.1% (19,168) | 16.3% (54) |
| Bachelor's Degree and Higher | 22.2% (24,905) | 3.9% (13) |
Education Levels Comparison: Pompano beach vs Wheeler
- A higher percentage of residents in Pompano beach have no formal schooling at 1.9% compared to 0.0% in Wheeler.
- In Wheeler, the rate of residents with high school diplomas is higher at 18.1% compared to 18.0% in Pompano beach.
- More residents in Pompano beach have less than a high school education at 17.1% compared to 16.3% in Wheeler.
- A higher percentage of residents in Pompano beach hold a bachelor's degree or higher at 22.2% compared to 3.9% in Wheeler.
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.