Demographics details for Port clinton, OH vs Moscow, ID
Population Overview
Compare main population characteristics in Port clinton, OH vs Moscow, ID.
| Data | Port clinton | Moscow |
|---|---|---|
| Population | 5,966 | 26,249 |
| Median Age | 44.9 years | 24.8 years |
| Median Income | $55,534 | $53,679 |
| Married Families | 35.0% | 28.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Port clinton vs Moscow
- The population in Moscow is higher at 26,249, compared to 5,966 in Port clinton.
- Residents in Port clinton have a higher median age of 44.9 years compared to 24.8 years in Moscow.
- Port clinton has a higher median income of $55,534 compared to $53,679 in Moscow.
- A higher percentage of married families is found in Port clinton at 35.0% compared to 28.0% in Moscow.
- The poverty level is higher in Moscow at 15%, compared to 12% in Port clinton.
- Moscow has a higher unemployment rate at 4.2% compared to 3.5% in Port clinton.
Demographics
Demographics Port clinton vs Moscow provide insight into the diversity of the communities to compare.
| Demographic | Port clinton | Moscow |
|---|---|---|
| Black | 3 | 2 |
| White | 82 | 83 |
| Asian | Data is updating | 3 |
| Hispanic | 7 | 5 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Port clinton vs Moscow
- A higher percentage of Black residents are in Port clinton at 3% compared to 2% in Moscow.
- The percentage of White residents is higher in Moscow at 83% compared to 82% in Port clinton.
- In Moscow, the Asian population stands at 3%, greater than 0% in Port clinton.
- The Hispanic community is larger in Port clinton at 7% compared to 5% in Moscow.
- More residents identify as two or more races in Port clinton at 8% compared to 6% in Moscow.
- In Moscow, the percentage of American Indian residents is higher at 1%, compared to 0% in Port clinton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Port clinton | Moscow |
|---|---|---|
| Mental Health Not Good | 19.2% | 15.4% |
| Physical Health Not Good | 13.5% | 10.6% |
| Depression | 25.1% | 24.5% |
| Smoking | 24.0% | 13.6% |
| Binge Drinking | 17.9% | 17.1% |
| Obesity | 40.7% | 31.2% |
| Disability Percentage | 16.0% | 10.0% |
Health Statistics Comparison: Port clinton vs Moscow
- More residents in Port clinton report poor mental health at 19.2% compared to 15.4% in Moscow.
- Depression is more prevalent in Port clinton at 25.1% compared to 24.5% in Moscow.
- Smoking is more prevalent in Port clinton at 24.0% compared to 13.6% in Moscow.
- Binge drinking is more common in Port clinton at 17.9% compared to 17.1% in Moscow.
- Obesity rates are higher in Port clinton at 40.7% compared to 31.2% in Moscow.
- Disability percentages are higher in Port clinton at 16.0% compared to 10.0% in Moscow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Port clinton | Moscow |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (80) |
| High School Diploma | 21.7% (1,296) | 5.7% (1,492) |
| Less than High School | 17.1% (1,023) | 2.0% (515) |
| Bachelor's Degree and Higher | 13.8% (825) | 25.8% (6,776) |
Education Levels Comparison: Port clinton vs Moscow
- In Moscow, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Port clinton.
- A higher percentage of residents in Port clinton hold a high school diploma at 21.7% compared to 5.7% in Moscow.
- More residents in Port clinton have less than a high school education at 17.1% compared to 2.0% in Moscow.
- In Moscow, a larger share of residents have a bachelor's degree or higher at 25.8% compared to 13.8% in Port clinton.
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.