Demographics details for Otway, OH vs Florence, OR
Population Overview
Compare main population characteristics in Otway, OH vs Florence, OR.
Data | Otway | Florence |
---|---|---|
Population | 91 | 9,376 |
Median Age | 46.7 years | 57.7 years |
Median Income | $31,111 | $57,568 |
Married Families | 31.0% | 42.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Otway vs Florence
- The population in Florence is higher at 9,376, compared to 91 in Otway.
- The median age in Florence is higher at 57.7 years, compared to 46.7 years in Otway.
- Florence has a higher median income of $57,568, compared to $31,111 in Otway.
- In Florence, the percentage of married families is higher at 42.0%, compared to 31.0% in Otway.
- Otway has a higher poverty level at 15% compared to 10% in Florence.
- Florence has a higher unemployment rate at 4.5% compared to 3.5% in Otway.
Demographics
Demographics Otway vs Florence provide insight into the diversity of the communities to compare.
Demographic | Otway | Florence |
---|---|---|
Black | Data is updating | 2 |
White | 100 | 87 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 5 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Otway vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in Otway.
- Otway has a higher percentage of White residents at 100% compared to 87% in Florence.
- In Florence, the Asian population stands at 2%, greater than 0% in Otway.
- Florence has a higher percentage of Hispanic residents at 5%, compared to 0% in Otway.
- The percentage of residents identifying as two or more races is higher in Florence at 3%, compared to 0% in Otway.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Otway.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Otway | Florence |
---|---|---|
Mental Health Not Good | 20.6% | 19.8% |
Physical Health Not Good | 17.8% | 13.1% |
Depression | 27.8% | 29.2% |
Smoking | 28.5% | 16.7% |
Binge Drinking | 13.1% | 17.0% |
Obesity | 46.8% | 36.0% |
Disability Percentage | 21.0% | 25.0% |
Health Statistics Comparison: Otway vs Florence
- More residents in Otway report poor mental health at 20.6% compared to 19.8% in Florence.
- Higher depression rates are seen in Florence at 29.2% versus 27.8% in Otway.
- Smoking is more prevalent in Otway at 28.5% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 13.1% in Otway.
- Obesity rates are higher in Otway at 46.8% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 21.0% in Otway.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Otway | Florence |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (35) |
High School Diploma | 41.8% (38) | 14.2% (1,331) |
Less than High School | 0.0% (Data is updating) | 15.6% (1,467) |
Bachelor's Degree and Higher | 2.2% (2) | 19.9% (1,865) |
Education Levels Comparison: Otway vs Florence
- In Florence, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Otway.
- A higher percentage of residents in Otway hold a high school diploma at 41.8% 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 0.0% in Otway.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 2.2% in Otway.
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.