Demographics details for Darwin, MN vs Ashton, WV
Population Overview
Compare main population characteristics in Darwin, MN vs Ashton, WV.
Data | Darwin | Ashton |
---|---|---|
Population | 344 | 200 |
Median Age | 34.8 years | 38.0 years |
Median Income | $62,083 | $50,000 |
Married Families | 37.0% | 50.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Darwin vs Ashton
- In Darwin, the population is higher at 344, compared to 200 in Ashton.
- The median age in Ashton is higher at 38.0 years, compared to 34.8 years in Darwin.
- Darwin has a higher median income of $62,083 compared to $50,000 in Ashton.
- In Ashton, the percentage of married families is higher at 50.0%, compared to 37.0% in Darwin.
- The poverty level is higher in Ashton at 10%, compared to 5% in Darwin.
- Ashton has a higher unemployment rate at 5.0% compared to 3.2% in Darwin.
Demographics
Demographics Darwin vs Ashton provide insight into the diversity of the communities to compare.
Demographic | Darwin | Ashton |
---|---|---|
Black | Data is updating | Data is updating |
White | 90 | 95 |
Asian | Data is updating | 2 |
Hispanic | 9 | 1 |
Two or More Races | 1 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Darwin vs Ashton
- The percentage of Black residents is the same in both Darwin and Ashton at 0%.
- The percentage of White residents is higher in Ashton at 95% compared to 90% in Darwin.
- In Ashton, the Asian population stands at 2%, greater than 0% in Darwin.
- The Hispanic community is larger in Darwin at 9% compared to 1% in Ashton.
- The percentage of residents identifying as two or more races is higher in Ashton at 2%, compared to 1% in Darwin.
- The percentage of American Indian residents is the same in both Darwin and Ashton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Darwin | Ashton |
---|---|---|
Mental Health Not Good | 14.7% | Data is updating% |
Physical Health Not Good | 8.8% | Data is updating% |
Depression | 23.2% | Data is updating% |
Smoking | 17.5% | Data is updating% |
Binge Drinking | 22.3% | Data is updating% |
Obesity | 32.7% | Data is updating% |
Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Darwin vs Ashton
- More residents in Darwin report poor mental health at 14.7% compared to 0.0% in Ashton.
- Depression is more prevalent in Darwin at 23.2% compared to 0.0% in Ashton.
- Smoking is more prevalent in Darwin at 17.5% compared to 0.0% in Ashton.
- Binge drinking is more common in Darwin at 22.3% compared to 0.0% in Ashton.
- Obesity rates are higher in Darwin at 32.7% compared to 0.0% in Ashton.
- Disability percentages are higher in Darwin at 19.0% compared to 0.0% in Ashton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Darwin | Ashton |
---|---|---|
No Schooling | 1.7% (6) | 0.0% (Data is updating) |
High School Diploma | 20.9% (72) | 0.0% (Data is updating) |
Less than High School | 9.3% (32) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.9% (41) | 0.0% (Data is updating) |
Education Levels Comparison: Darwin vs Ashton
- A higher percentage of residents in Darwin have no formal schooling at 1.7% compared to 0.0% in Ashton.
- A higher percentage of residents in Darwin hold a high school diploma at 20.9% compared to 0.0% in Ashton.
- More residents in Darwin have less than a high school education at 9.3% compared to 0.0% in Ashton.
- A higher percentage of residents in Darwin hold a bachelor's degree or higher at 11.9% compared to 0.0% in Ashton.
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.