Demographics details for South charleston, OH vs Peru, NY
Population Overview
Compare main population characteristics in South charleston, OH vs Peru, NY.
| Data | South charleston | Peru |
|---|---|---|
| Population | 1,696 | 6,998 |
| Median Age | 42.3 years | 41.0 years |
| Median Income | $47,137 | $73,000 |
| Married Families | 34.0% | 60.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 5.2 | 4.0 |
Population Comparison: South charleston vs Peru
- The population in Peru is higher at 6,998, compared to 1,696 in South charleston.
- Residents in South charleston have a higher median age of 42.3 years compared to 41.0 years in Peru.
- Peru has a higher median income of $73,000, compared to $47,137 in South charleston.
- In Peru, the percentage of married families is higher at 60.0%, compared to 34.0% in South charleston.
- The poverty level is higher in Peru at 10%, compared to 7% in South charleston.
- The unemployment rate in South charleston is higher at 5.2%, compared to 4.0% in Peru.
Demographics
Demographics South charleston vs Peru provide insight into the diversity of the communities to compare.
| Demographic | South charleston | Peru |
|---|---|---|
| Black | 4 | 1 |
| White | 88 | 95 |
| Asian | 1 | 1 |
| Hispanic | 3 | 3 |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: South charleston vs Peru
- A higher percentage of Black residents are in South charleston at 4% compared to 1% in Peru.
- The percentage of White residents is higher in Peru at 95% compared to 88% in South charleston.
- Both South charleston and Peru have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both South charleston and Peru at 3%.
- More residents identify as two or more races in South charleston at 4% compared to 0% in Peru.
- The percentage of American Indian residents is the same in both South charleston and Peru at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South charleston | Peru |
|---|---|---|
| Mental Health Not Good | 18.8% | Data is updating% |
| Physical Health Not Good | 12.6% | Data is updating% |
| Depression | 25.3% | Data is updating% |
| Smoking | 22.2% | Data is updating% |
| Binge Drinking | 17.8% | Data is updating% |
| Obesity | 42.6% | Data is updating% |
| Disability Percentage | 23.0% | Data is updating% |
Health Statistics Comparison: South charleston vs Peru
- More residents in South charleston report poor mental health at 18.8% compared to 0.0% in Peru.
- Depression is more prevalent in South charleston at 25.3% compared to 0.0% in Peru.
- Smoking is more prevalent in South charleston at 22.2% compared to 0.0% in Peru.
- Binge drinking is more common in South charleston at 17.8% compared to 0.0% in Peru.
- Obesity rates are higher in South charleston at 42.6% compared to 0.0% in Peru.
- Disability percentages are higher in South charleston at 23.0% compared to 0.0% in Peru.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South charleston | Peru |
|---|---|---|
| No Schooling | 0.3% (5) | 0.0% (Data is updating) |
| High School Diploma | 26.6% (451) | 0.0% (Data is updating) |
| Less than High School | 21.6% (367) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.5% (145) | 0.0% (Data is updating) |
Education Levels Comparison: South charleston vs Peru
- A higher percentage of residents in South charleston have no formal schooling at 0.3% compared to 0.0% in Peru.
- A higher percentage of residents in South charleston hold a high school diploma at 26.6% compared to 0.0% in Peru.
- More residents in South charleston have less than a high school education at 21.6% compared to 0.0% in Peru.
- A higher percentage of residents in South charleston hold a bachelor's degree or higher at 8.5% compared to 0.0% in Peru.
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.