Demographics details for Sandusky, OH vs Springer, OK
Population Overview
Compare main population characteristics in Sandusky, OH vs Springer, OK.
| Data | Sandusky | Springer |
|---|---|---|
| Population | 24,526 | 694 |
| Median Age | 37.5 years | 30.3 years |
| Median Income | $47,375 | $51,630 |
| Married Families | 28.0% | 42.0% |
| Poverty Level | 16% | 17% |
| Unemployment Rate | 5.4 | 3.5 |
Population Comparison: Sandusky vs Springer
- In Sandusky, the population is higher at 24,526, compared to 694 in Springer.
- Residents in Sandusky have a higher median age of 37.5 years compared to 30.3 years in Springer.
- Springer has a higher median income of $51,630, compared to $47,375 in Sandusky.
- In Springer, the percentage of married families is higher at 42.0%, compared to 28.0% in Sandusky.
- The poverty level is higher in Springer at 17%, compared to 16% in Sandusky.
- The unemployment rate in Sandusky is higher at 5.4%, compared to 3.5% in Springer.
Demographics
Demographics Sandusky vs Springer provide insight into the diversity of the communities to compare.
| Demographic | Sandusky | Springer |
|---|---|---|
| Black | 23 | 5 |
| White | 62 | 54 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 7 |
| Two or More Races | 7 | 21 |
| American Indian | Data is updating | 13 |
Demographics Comparison: Sandusky vs Springer
- A higher percentage of Black residents are in Sandusky at 23% compared to 5% in Springer.
- Sandusky has a higher percentage of White residents at 62% compared to 54% in Springer.
- The Asian population is larger in Sandusky at 1% compared to 0% in Springer.
- The percentage of Hispanic residents is the same in both Sandusky and Springer at 7%.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 7% in Sandusky.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 0% in Sandusky.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandusky | Springer |
|---|---|---|
| Mental Health Not Good | 19.5% | 18.7% |
| Physical Health Not Good | 14.1% | 12.6% |
| Depression | 25.0% | 26.0% |
| Smoking | 25.9% | 20.5% |
| Binge Drinking | 17.7% | 15.6% |
| Obesity | 46.2% | 39.9% |
| Disability Percentage | 18.0% | 29.0% |
Health Statistics Comparison: Sandusky vs Springer
- More residents in Sandusky report poor mental health at 19.5% compared to 18.7% in Springer.
- Higher depression rates are seen in Springer at 26.0% versus 25.0% in Sandusky.
- Smoking is more prevalent in Sandusky at 25.9% compared to 20.5% in Springer.
- Binge drinking is more common in Sandusky at 17.7% compared to 15.6% in Springer.
- Obesity rates are higher in Sandusky at 46.2% compared to 39.9% in Springer.
- There is a higher percentage of disabled individuals in Springer at 29.0% 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 | Springer |
|---|---|---|
| No Schooling | 0.8% (204) | 0.0% (Data is updating) |
| High School Diploma | 24.1% (5,915) | 19.2% (133) |
| Less than High School | 14.3% (3,502) | 19.6% (136) |
| Bachelor's Degree and Higher | 13.5% (3,314) | 9.4% (65) |
Education Levels Comparison: Sandusky vs Springer
- A higher percentage of residents in Sandusky have no formal schooling at 0.8% compared to 0.0% in Springer.
- A higher percentage of residents in Sandusky hold a high school diploma at 24.1% compared to 19.2% in Springer.
- The percentage of residents with less than a high school education is higher in Springer at 19.6%, compared to 14.3% in Sandusky.
- A higher percentage of residents in Sandusky hold a bachelor's degree or higher at 13.5% compared to 9.4% in Springer.
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.