Demographics details for Winder, GA vs Chanhassen, MN
Population Overview
Compare main population characteristics in Winder, GA vs Chanhassen, MN.
Data | Winder | Chanhassen |
---|---|---|
Population | 19,400 | 26,224 |
Median Age | 36.4 years | 40.6 years |
Median Income | $57,365 | $131,633 |
Married Families | 34.0% | 47.0% |
Poverty Level | 13% | 4% |
Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Winder vs Chanhassen
- The population in Chanhassen is higher at 26,224, compared to 19,400 in Winder.
- The median age in Chanhassen is higher at 40.6 years, compared to 36.4 years in Winder.
- Chanhassen has a higher median income of $131,633, compared to $57,365 in Winder.
- In Chanhassen, the percentage of married families is higher at 47.0%, compared to 34.0% in Winder.
- Winder has a higher poverty level at 13% compared to 4% in Chanhassen.
- The unemployment rate in Winder is higher at 3.5%, compared to 3.4% in Chanhassen.
Demographics
Demographics Winder vs Chanhassen provide insight into the diversity of the communities to compare.
Demographic | Winder | Chanhassen |
---|---|---|
Black | 20 | 1 |
White | 53 | 84 |
Asian | 2 | 7 |
Hispanic | 15 | 3 |
Two or More Races | 10 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Winder vs Chanhassen
- A higher percentage of Black residents are in Winder at 20% compared to 1% in Chanhassen.
- The percentage of White residents is higher in Chanhassen at 84% compared to 53% in Winder.
- In Chanhassen, the Asian population stands at 7%, greater than 2% in Winder.
- The Hispanic community is larger in Winder at 15% compared to 3% in Chanhassen.
- More residents identify as two or more races in Winder at 10% compared to 5% in Chanhassen.
- The percentage of American Indian residents is the same in both Winder and Chanhassen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winder | Chanhassen |
---|---|---|
Mental Health Not Good | 17.9% | 11.8% |
Physical Health Not Good | 12.9% | 6.4% |
Depression | 22.6% | 19.8% |
Smoking | 19.8% | 10.0% |
Binge Drinking | 15.5% | 20.9% |
Obesity | 40.9% | 29.7% |
Disability Percentage | 14.0% | 5.0% |
Health Statistics Comparison: Winder vs Chanhassen
- More residents in Winder report poor mental health at 17.9% compared to 11.8% in Chanhassen.
- Depression is more prevalent in Winder at 22.6% compared to 19.8% in Chanhassen.
- Smoking is more prevalent in Winder at 19.8% compared to 10.0% in Chanhassen.
- More residents engage in binge drinking in Chanhassen at 20.9% compared to 15.5% in Winder.
- Obesity rates are higher in Winder at 40.9% compared to 29.7% in Chanhassen.
- Disability percentages are higher in Winder at 14.0% compared to 5.0% in Chanhassen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Winder | Chanhassen |
---|---|---|
No Schooling | 1.2% (240) | 0.1% (31) |
High School Diploma | 15.8% (3,070) | 5.7% (1,502) |
Less than High School | 14.0% (2,718) | 1.7% (452) |
Bachelor's Degree and Higher | 13.0% (2,516) | 42.7% (11,186) |
Education Levels Comparison: Winder vs Chanhassen
- A higher percentage of residents in Winder have no formal schooling at 1.2% compared to 0.1% in Chanhassen.
- A higher percentage of residents in Winder hold a high school diploma at 15.8% compared to 5.7% in Chanhassen.
- More residents in Winder have less than a high school education at 14.0% compared to 1.7% in Chanhassen.
- In Chanhassen, a larger share of residents have a bachelor's degree or higher at 42.7% compared to 13.0% in Winder.
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.