Demographics details for Sandusky, OH vs Columbus, MS
Population Overview
Compare main population characteristics in Sandusky, OH vs Columbus, MS.
Data | Sandusky | Columbus |
---|---|---|
Population | 24,526 | 23,273 |
Median Age | 37.5 years | 38.5 years |
Median Income | $47,375 | $38,954 |
Married Families | 28.0% | 25.0% |
Poverty Level | 16% | 19% |
Unemployment Rate | 5.4 | 3.8 |
Population Comparison: Sandusky vs Columbus
- In Sandusky, the population is higher at 24,526, compared to 23,273 in Columbus.
- The median age in Columbus is higher at 38.5 years, compared to 37.5 years in Sandusky.
- Sandusky has a higher median income of $47,375 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Sandusky at 28.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 16% in Sandusky.
- The unemployment rate in Sandusky is higher at 5.4%, compared to 3.8% in Columbus.
Demographics
Demographics Sandusky vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Sandusky | Columbus |
---|---|---|
Black | 23 | 66 |
White | 62 | 28 |
Asian | 1 | 2 |
Hispanic | 7 | 2 |
Two or More Races | 7 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sandusky vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 23% in Sandusky.
- Sandusky has a higher percentage of White residents at 62% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 1% in Sandusky.
- The Hispanic community is larger in Sandusky at 7% compared to 2% in Columbus.
- More residents identify as two or more races in Sandusky at 7% compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Sandusky and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sandusky | Columbus |
---|---|---|
Mental Health Not Good | 19.5% | 17.4% |
Physical Health Not Good | 14.1% | 13.6% |
Depression | 25.0% | 20.0% |
Smoking | 25.9% | 21.0% |
Binge Drinking | 17.7% | 11.8% |
Obesity | 46.2% | 44.8% |
Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Sandusky vs Columbus
- More residents in Sandusky report poor mental health at 19.5% compared to 17.4% in Columbus.
- Depression is more prevalent in Sandusky at 25.0% compared to 20.0% in Columbus.
- Smoking is more prevalent in Sandusky at 25.9% compared to 21.0% in Columbus.
- Binge drinking is more common in Sandusky at 17.7% compared to 11.8% in Columbus.
- Obesity rates are higher in Sandusky at 46.2% compared to 44.8% in Columbus.
- Disability percentages are higher in Sandusky at 18.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sandusky | Columbus |
---|---|---|
No Schooling | 0.8% (204) | 1.1% (260) |
High School Diploma | 24.1% (5,915) | 18.4% (4,272) |
Less than High School | 14.3% (3,502) | 11.0% (2,559) |
Bachelor's Degree and Higher | 13.5% (3,314) | 17.1% (3,971) |
Education Levels Comparison: Sandusky vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Sandusky.
- A higher percentage of residents in Sandusky hold a high school diploma at 24.1% compared to 18.4% in Columbus.
- More residents in Sandusky have less than a high school education at 14.3% compared to 11.0% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 13.5% in Sandusky.
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.