Demographics details for Winger, MN vs Palm bay, FL
Population Overview
Compare main population characteristics in Winger, MN vs Palm bay, FL.
Data | Winger | Palm bay |
---|---|---|
Population | 173 | 129,234 |
Median Age | 48.8 years | 41.8 years |
Median Income | $42,500 | $62,538 |
Married Families | 37.0% | 37.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Winger vs Palm bay
- The population in Palm bay is higher at 129,234, compared to 173 in Winger.
- Residents in Winger have a higher median age of 48.8 years compared to 41.8 years in Palm bay.
- Palm bay has a higher median income of $62,538, compared to $42,500 in Winger.
- The percentage of married families is the same in both Winger and Palm bay at 37.0%.
- The poverty level is higher in Palm bay at 10%, compared to 0% in Winger.
- The unemployment rate in Winger is higher at 4.5%, compared to 4.0% in Palm bay.
Demographics
Demographics Winger vs Palm bay provide insight into the diversity of the communities to compare.
Demographic | Winger | Palm bay |
---|---|---|
Black | Data is updating | 18 |
White | 88 | 51 |
Asian | 1 | 2 |
Hispanic | Data is updating | 17 |
Two or More Races | 10 | 12 |
American Indian | 1 | Data is updating |
Demographics Comparison: Winger vs Palm bay
- In Palm bay, the percentage of Black residents is higher at 18% compared to 0% in Winger.
- Winger has a higher percentage of White residents at 88% compared to 51% in Palm bay.
- In Palm bay, the Asian population stands at 2%, greater than 1% in Winger.
- Palm bay has a higher percentage of Hispanic residents at 17%, compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Palm bay at 12%, compared to 10% in Winger.
- A greater percentage of American Indian residents live in Winger at 1% compared to 0% in Palm bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winger | Palm bay |
---|---|---|
Mental Health Not Good | 15.5% | 16.8% |
Physical Health Not Good | 9.9% | 11.5% |
Depression | 24.3% | 20.3% |
Smoking | 19.8% | 19.6% |
Binge Drinking | 21.9% | 15.8% |
Obesity | 39.6% | 34.9% |
Disability Percentage | 16.0% | 16.0% |
Health Statistics Comparison: Winger vs Palm bay
- In Palm bay, a higher percentage report poor mental health at 16.8% compared to 15.5% in Winger.
- Depression is more prevalent in Winger at 24.3% compared to 20.3% in Palm bay.
- Smoking is more prevalent in Winger at 19.8% compared to 19.6% in Palm bay.
- Binge drinking is more common in Winger at 21.9% compared to 15.8% in Palm bay.
- Obesity rates are higher in Winger at 39.6% compared to 34.9% in Palm bay.
- Disability percentages are the same in both Winger and Palm bay at 16.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Winger | Palm bay |
---|---|---|
No Schooling | 2.3% (4) | 0.9% (1,215) |
High School Diploma | 14.5% (25) | 17.2% (22,173) |
Less than High School | 20.2% (35) | 11.5% (14,805) |
Bachelor's Degree and Higher | 12.7% (22) | 14.6% (18,880) |
Education Levels Comparison: Winger vs Palm bay
- A higher percentage of residents in Winger have no formal schooling at 2.3% compared to 0.9% in Palm bay.
- In Palm bay, the rate of residents with high school diplomas is higher at 17.2% compared to 14.5% in Winger.
- More residents in Winger have less than a high school education at 20.2% compared to 11.5% in Palm bay.
- In Palm bay, a larger share of residents have a bachelor's degree or higher at 14.6% 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.