Demographics details for Duluth, MN vs Falling waters, WV
Population Overview
Compare main population characteristics in Duluth, MN vs Falling waters, WV.
| Data | Duluth | Falling waters |
|---|---|---|
| Population | 86,619 | 2,150 |
| Median Age | 34.7 years | 32.2 years |
| Median Income | $63,545 | $84,038 |
| Married Families | 33.0% | 29.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Duluth vs Falling waters
- In Duluth, the population is higher at 86,619, compared to 2,150 in Falling waters.
- Residents in Duluth have a higher median age of 34.7 years compared to 32.2 years in Falling waters.
- Falling waters has a higher median income of $84,038, compared to $63,545 in Duluth.
- A higher percentage of married families is found in Duluth at 33.0% compared to 29.0% in Falling waters.
- Duluth has a higher poverty level at 12% compared to 9% in Falling waters.
- The unemployment rate in Duluth is higher at 3.7%, compared to 3.5% in Falling waters.
Demographics
Demographics Duluth vs Falling waters provide insight into the diversity of the communities to compare.
| Demographic | Duluth | Falling waters |
|---|---|---|
| Black | 3 | 6 |
| White | 85 | 92 |
| Asian | 2 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 5 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Duluth vs Falling waters
- In Falling waters, the percentage of Black residents is higher at 6% compared to 3% in Duluth.
- The percentage of White residents is higher in Falling waters at 92% compared to 85% in Duluth.
- The Asian population is larger in Duluth at 2% compared to 0% in Falling waters.
- The Hispanic community is larger in Duluth at 3% compared to 0% in Falling waters.
- More residents identify as two or more races in Duluth at 5% compared to 2% in Falling waters.
- A greater percentage of American Indian residents live in Duluth at 2% compared to 0% in Falling waters.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Duluth | Falling waters |
|---|---|---|
| Mental Health Not Good | 16.7% | 18.5% |
| Physical Health Not Good | 9.9% | 11.9% |
| Depression | 24.1% | 25.7% |
| Smoking | 19.0% | 18.7% |
| Binge Drinking | 20.2% | 15.2% |
| Obesity | 35.2% | 37.6% |
| Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Duluth vs Falling waters
- In Falling waters, a higher percentage report poor mental health at 18.5% compared to 16.7% in Duluth.
- Higher depression rates are seen in Falling waters at 25.7% versus 24.1% in Duluth.
- Smoking is more prevalent in Duluth at 19.0% compared to 18.7% in Falling waters.
- Binge drinking is more common in Duluth at 20.2% compared to 15.2% in Falling waters.
- Falling waters has higher obesity rates at 37.6% compared to 35.2% in Duluth.
- There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 13.0% in Duluth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Duluth | Falling waters |
|---|---|---|
| No Schooling | 0.4% (325) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (9,564) | 22.4% (482) |
| Less than High School | 5.5% (4,734) | 4.7% (102) |
| Bachelor's Degree and Higher | 26.0% (22,522) | 11.0% (237) |
Education Levels Comparison: Duluth vs Falling waters
- A higher percentage of residents in Duluth have no formal schooling at 0.4% compared to 0.0% in Falling waters.
- In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 11.0% in Duluth.
- More residents in Duluth have less than a high school education at 5.5% compared to 4.7% in Falling waters.
- A higher percentage of residents in Duluth hold a bachelor's degree or higher at 26.0% compared to 11.0% in Falling waters.
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.