Demographics details for Darwin, MN vs Port clinton, OH
Population Overview
Compare main population characteristics in Darwin, MN vs Port clinton, OH.
Data | Darwin | Port clinton |
---|---|---|
Population | 344 | 5,966 |
Median Age | 34.8 years | 44.9 years |
Median Income | $62,083 | $55,534 |
Married Families | 37.0% | 35.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Darwin vs Port clinton
- The population in Port clinton is higher at 5,966, compared to 344 in Darwin.
- The median age in Port clinton is higher at 44.9 years, compared to 34.8 years in Darwin.
- Darwin has a higher median income of $62,083 compared to $55,534 in Port clinton.
- A higher percentage of married families is found in Darwin at 37.0% compared to 35.0% in Port clinton.
- The poverty level is higher in Port clinton at 12%, compared to 5% in Darwin.
- Port clinton has a higher unemployment rate at 3.5% compared to 3.2% in Darwin.
Demographics
Demographics Darwin vs Port clinton provide insight into the diversity of the communities to compare.
Demographic | Darwin | Port clinton |
---|---|---|
Black | Data is updating | 3 |
White | 90 | 82 |
Asian | Data is updating | Data is updating |
Hispanic | 9 | 7 |
Two or More Races | 1 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Darwin vs Port clinton
- In Port clinton, the percentage of Black residents is higher at 3% compared to 0% in Darwin.
- Darwin has a higher percentage of White residents at 90% compared to 82% in Port clinton.
- Both Darwin and Port clinton have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Darwin at 9% compared to 7% in Port clinton.
- The percentage of residents identifying as two or more races is higher in Port clinton at 8%, compared to 1% in Darwin.
- The percentage of American Indian residents is the same in both Darwin and Port clinton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Darwin | Port clinton |
---|---|---|
Mental Health Not Good | 14.7% | 19.2% |
Physical Health Not Good | 8.8% | 13.5% |
Depression | 23.2% | 25.1% |
Smoking | 17.5% | 24.0% |
Binge Drinking | 22.3% | 17.9% |
Obesity | 32.7% | 40.7% |
Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Darwin vs Port clinton
- In Port clinton, a higher percentage report poor mental health at 19.2% compared to 14.7% in Darwin.
- Higher depression rates are seen in Port clinton at 25.1% versus 23.2% in Darwin.
- Port clinton has a higher smoking rate at 24.0% compared to 17.5% in Darwin.
- Binge drinking is more common in Darwin at 22.3% compared to 17.9% in Port clinton.
- Port clinton has higher obesity rates at 40.7% compared to 32.7% in Darwin.
- Disability percentages are higher in Darwin at 19.0% compared to 16.0% in Port clinton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Darwin | Port clinton |
---|---|---|
No Schooling | 1.7% (6) | 0.0% (Data is updating) |
High School Diploma | 20.9% (72) | 21.7% (1,296) |
Less than High School | 9.3% (32) | 17.1% (1,023) |
Bachelor's Degree and Higher | 11.9% (41) | 13.8% (825) |
Education Levels Comparison: Darwin vs Port clinton
- A higher percentage of residents in Darwin have no formal schooling at 1.7% compared to 0.0% in Port clinton.
- In Port clinton, the rate of residents with high school diplomas is higher at 21.7% compared to 20.9% in Darwin.
- The percentage of residents with less than a high school education is higher in Port clinton at 17.1%, compared to 9.3% in Darwin.
- In Port clinton, a larger share of residents have a bachelor's degree or higher at 13.8% 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.