Demographics details for Sandusky, OH vs Piper city, IL
Population Overview
Compare main population characteristics in Sandusky, OH vs Piper city, IL.
| Data | Sandusky | Piper city |
|---|---|---|
| Population | 24,526 | 729 |
| Median Age | 37.5 years | 48.3 years |
| Median Income | $47,375 | $38,750 |
| Married Families | 28.0% | 40.0% |
| Poverty Level | 16% | 11% |
| Unemployment Rate | 5.4 | 3.2 |
Population Comparison: Sandusky vs Piper city
- In Sandusky, the population is higher at 24,526, compared to 729 in Piper city.
- The median age in Piper city is higher at 48.3 years, compared to 37.5 years in Sandusky.
- Sandusky has a higher median income of $47,375 compared to $38,750 in Piper city.
- In Piper city, the percentage of married families is higher at 40.0%, compared to 28.0% in Sandusky.
- Sandusky has a higher poverty level at 16% compared to 11% in Piper city.
- The unemployment rate in Sandusky is higher at 5.4%, compared to 3.2% in Piper city.
Demographics
Demographics Sandusky vs Piper city provide insight into the diversity of the communities to compare.
| Demographic | Sandusky | Piper city |
|---|---|---|
| Black | 23 | 2 |
| White | 62 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 3 |
| Two or More Races | 7 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sandusky vs Piper city
- A higher percentage of Black residents are in Sandusky at 23% compared to 2% in Piper city.
- The percentage of White residents is higher in Piper city at 94% compared to 62% in Sandusky.
- The Asian population is larger in Sandusky at 1% compared to 0% in Piper city.
- The Hispanic community is larger in Sandusky at 7% compared to 3% in Piper city.
- More residents identify as two or more races in Sandusky at 7% compared to 1% in Piper city.
- The percentage of American Indian residents is the same in both Sandusky and Piper city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandusky | Piper city |
|---|---|---|
| Mental Health Not Good | 19.5% | 17.8% |
| Physical Health Not Good | 14.1% | 12.8% |
| Depression | 25.0% | 23.2% |
| Smoking | 25.9% | 20.6% |
| Binge Drinking | 17.7% | 17.3% |
| Obesity | 46.2% | 38.4% |
| Disability Percentage | 18.0% | 26.0% |
Health Statistics Comparison: Sandusky vs Piper city
- More residents in Sandusky report poor mental health at 19.5% compared to 17.8% in Piper city.
- Depression is more prevalent in Sandusky at 25.0% compared to 23.2% in Piper city.
- Smoking is more prevalent in Sandusky at 25.9% compared to 20.6% in Piper city.
- Binge drinking is more common in Sandusky at 17.7% compared to 17.3% in Piper city.
- Obesity rates are higher in Sandusky at 46.2% compared to 38.4% in Piper city.
- There is a higher percentage of disabled individuals in Piper city at 26.0% compared to 18.0% in Sandusky.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sandusky | Piper city |
|---|---|---|
| No Schooling | 0.8% (204) | 0.1% (1) |
| High School Diploma | 24.1% (5,915) | 30.3% (221) |
| Less than High School | 14.3% (3,502) | 10.8% (79) |
| Bachelor's Degree and Higher | 13.5% (3,314) | 5.8% (42) |
Education Levels Comparison: Sandusky vs Piper city
- A higher percentage of residents in Sandusky have no formal schooling at 0.8% compared to 0.1% in Piper city.
- In Piper city, the rate of residents with high school diplomas is higher at 30.3% compared to 24.1% in Sandusky.
- More residents in Sandusky have less than a high school education at 14.3% compared to 10.8% in Piper city.
- A higher percentage of residents in Sandusky hold a bachelor's degree or higher at 13.5% compared to 5.8% in Piper city.
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.