Demographics details for Cocoa beach, FL vs Winger, MN
Population Overview
Compare main population characteristics in Cocoa beach, FL vs Winger, MN.
| Data | Cocoa beach | Winger |
|---|---|---|
| Population | 11,341 | 173 |
| Median Age | 58.6 years | 48.8 years |
| Median Income | $80,880 | $42,500 |
| Married Families | 50.0% | 37.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Cocoa beach vs Winger
- In Cocoa beach, the population is higher at 11,341, compared to 173 in Winger.
- Residents in Cocoa beach have a higher median age of 58.6 years compared to 48.8 years in Winger.
- Cocoa beach has a higher median income of $80,880 compared to $42,500 in Winger.
- A higher percentage of married families is found in Cocoa beach at 50.0% compared to 37.0% in Winger.
- Cocoa beach has a higher poverty level at 7% compared to 0% in Winger.
- Winger has a higher unemployment rate at 4.5% compared to 3.5% in Cocoa beach.
Demographics
Demographics Cocoa beach vs Winger provide insight into the diversity of the communities to compare.
| Demographic | Cocoa beach | Winger |
|---|---|---|
| Black | 1 | Data is updating |
| White | 85 | 88 |
| Asian | 1 | 1 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cocoa beach vs Winger
- A higher percentage of Black residents are in Cocoa beach at 1% compared to 0% in Winger.
- The percentage of White residents is higher in Winger at 88% compared to 85% in Cocoa beach.
- Both Cocoa beach and Winger have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Cocoa beach at 7% compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Winger at 10%, compared to 6% in Cocoa beach.
- In Winger, the percentage of American Indian residents is higher at 1%, compared to 0% in Cocoa beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cocoa beach | Winger |
|---|---|---|
| Mental Health Not Good | 14.6% | 15.5% |
| Physical Health Not Good | 8.7% | 9.9% |
| Depression | 19.5% | 24.3% |
| Smoking | 14.5% | 19.8% |
| Binge Drinking | 17.9% | 21.9% |
| Obesity | 29.4% | 39.6% |
| Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Cocoa beach vs Winger
- In Winger, a higher percentage report poor mental health at 15.5% compared to 14.6% in Cocoa beach.
- Higher depression rates are seen in Winger at 24.3% versus 19.5% in Cocoa beach.
- Winger has a higher smoking rate at 19.8% compared to 14.5% in Cocoa beach.
- More residents engage in binge drinking in Winger at 21.9% compared to 17.9% in Cocoa beach.
- Winger has higher obesity rates at 39.6% compared to 29.4% in Cocoa beach.
- Disability percentages are higher in Cocoa beach at 19.0% compared to 16.0% in Winger.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cocoa beach | Winger |
|---|---|---|
| No Schooling | 0.4% (48) | 2.3% (4) |
| High School Diploma | 11.7% (1,326) | 14.5% (25) |
| Less than High School | 4.7% (532) | 20.2% (35) |
| Bachelor's Degree and Higher | 43.6% (4,948) | 12.7% (22) |
Education Levels Comparison: Cocoa beach vs Winger
- In Winger, a larger percentage of residents lack formal schooling at 2.3% compared to 0.4% in Cocoa beach.
- In Winger, the rate of residents with high school diplomas is higher at 14.5% compared to 11.7% in Cocoa beach.
- The percentage of residents with less than a high school education is higher in Winger at 20.2%, compared to 4.7% in Cocoa beach.
- A higher percentage of residents in Cocoa beach hold a bachelor's degree or higher at 43.6% compared to 12.7% in Winger.
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.