Demographics details for Darwin, MN vs Florence, OR
Population Overview
Compare main population characteristics in Darwin, MN vs Florence, OR.
| Data | Darwin | Florence |
|---|---|---|
| Population | 344 | 9,376 |
| Median Age | 34.8 years | 57.7 years |
| Median Income | $62,083 | $57,568 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Darwin vs Florence
- The population in Florence is higher at 9,376, compared to 344 in Darwin.
- The median age in Florence is higher at 57.7 years, compared to 34.8 years in Darwin.
- Darwin has a higher median income of $62,083 compared to $57,568 in Florence.
- In Florence, the percentage of married families is higher at 42.0%, compared to 37.0% in Darwin.
- The poverty level is higher in Florence at 10%, compared to 5% in Darwin.
- Florence has a higher unemployment rate at 4.5% compared to 3.2% in Darwin.
Demographics
Demographics Darwin vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Darwin | Florence |
|---|---|---|
| Black | Data is updating | 2 |
| White | 90 | 87 |
| Asian | Data is updating | 2 |
| Hispanic | 9 | 5 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Darwin vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in Darwin.
- Darwin has a higher percentage of White residents at 90% compared to 87% in Florence.
- In Florence, the Asian population stands at 2%, greater than 0% in Darwin.
- The Hispanic community is larger in Darwin at 9% compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Florence at 3%, compared to 1% in Darwin.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Darwin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Darwin | Florence |
|---|---|---|
| Mental Health Not Good | 14.7% | 19.8% |
| Physical Health Not Good | 8.8% | 13.1% |
| Depression | 23.2% | 29.2% |
| Smoking | 17.5% | 16.7% |
| Binge Drinking | 22.3% | 17.0% |
| Obesity | 32.7% | 36.0% |
| Disability Percentage | 19.0% | 25.0% |
Health Statistics Comparison: Darwin vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 14.7% in Darwin.
- Higher depression rates are seen in Florence at 29.2% versus 23.2% in Darwin.
- Smoking is more prevalent in Darwin at 17.5% compared to 16.7% in Florence.
- Binge drinking is more common in Darwin at 22.3% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 32.7% in Darwin.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 19.0% in Darwin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Darwin | Florence |
|---|---|---|
| No Schooling | 1.7% (6) | 0.4% (35) |
| High School Diploma | 20.9% (72) | 14.2% (1,331) |
| Less than High School | 9.3% (32) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 11.9% (41) | 19.9% (1,865) |
Education Levels Comparison: Darwin vs Florence
- A higher percentage of residents in Darwin have no formal schooling at 1.7% compared to 0.4% in Florence.
- A higher percentage of residents in Darwin hold a high school diploma at 20.9% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 9.3% in Darwin.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 11.9% in Darwin.
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.