Demographics details for Erwin, TN vs Chanhassen, MN
Population Overview
Compare main population characteristics in Erwin, TN vs Chanhassen, MN.
Data | Erwin | Chanhassen |
---|---|---|
Population | 5,953 | 26,224 |
Median Age | 46.8 years | 40.6 years |
Median Income | $40,670 | $131,633 |
Married Families | 48.0% | 47.0% |
Poverty Level | 12% | 4% |
Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Erwin vs Chanhassen
- The population in Chanhassen is higher at 26,224, compared to 5,953 in Erwin.
- Residents in Erwin have a higher median age of 46.8 years compared to 40.6 years in Chanhassen.
- Chanhassen has a higher median income of $131,633, compared to $40,670 in Erwin.
- A higher percentage of married families is found in Erwin at 48.0% compared to 47.0% in Chanhassen.
- Erwin has a higher poverty level at 12% compared to 4% in Chanhassen.
- The unemployment rate in Erwin is higher at 4.5%, compared to 3.4% in Chanhassen.
Demographics
Demographics Erwin vs Chanhassen provide insight into the diversity of the communities to compare.
Demographic | Erwin | Chanhassen |
---|---|---|
Black | Data is updating | 1 |
White | 87 | 84 |
Asian | Data is updating | 7 |
Hispanic | 8 | 3 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Erwin vs Chanhassen
- In Chanhassen, the percentage of Black residents is higher at 1% compared to 0% in Erwin.
- Erwin has a higher percentage of White residents at 87% compared to 84% in Chanhassen.
- In Chanhassen, the Asian population stands at 7%, greater than 0% in Erwin.
- The Hispanic community is larger in Erwin at 8% compared to 3% in Chanhassen.
- Both Erwin and Chanhassen have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Erwin and Chanhassen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Erwin | Chanhassen |
---|---|---|
Mental Health Not Good | 20.2% | 11.8% |
Physical Health Not Good | 14.1% | 6.4% |
Depression | 29.7% | 19.8% |
Smoking | 23.6% | 10.0% |
Binge Drinking | 15.9% | 20.9% |
Obesity | 38.0% | 29.7% |
Disability Percentage | 21.0% | 5.0% |
Health Statistics Comparison: Erwin vs Chanhassen
- More residents in Erwin report poor mental health at 20.2% compared to 11.8% in Chanhassen.
- Depression is more prevalent in Erwin at 29.7% compared to 19.8% in Chanhassen.
- Smoking is more prevalent in Erwin at 23.6% compared to 10.0% in Chanhassen.
- More residents engage in binge drinking in Chanhassen at 20.9% compared to 15.9% in Erwin.
- Obesity rates are higher in Erwin at 38.0% compared to 29.7% in Chanhassen.
- Disability percentages are higher in Erwin at 21.0% 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 | Erwin | Chanhassen |
---|---|---|
No Schooling | 0.3% (15) | 0.1% (31) |
High School Diploma | 20.2% (1,201) | 5.7% (1,502) |
Less than High School | 19.7% (1,170) | 1.7% (452) |
Bachelor's Degree and Higher | 11.7% (698) | 42.7% (11,186) |
Education Levels Comparison: Erwin vs Chanhassen
- A higher percentage of residents in Erwin have no formal schooling at 0.3% compared to 0.1% in Chanhassen.
- A higher percentage of residents in Erwin hold a high school diploma at 20.2% compared to 5.7% in Chanhassen.
- More residents in Erwin have less than a high school education at 19.7% 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 11.7% in Erwin.
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.