Demographics details for Rocky river, OH vs Columbia, MO
Population Overview
Compare main population characteristics in Rocky river, OH vs Columbia, MO.
| Data | Rocky river | Columbia |
|---|---|---|
| Population | 21,346 | 128,555 |
| Median Age | 43.5 years | 28.8 years |
| Median Income | $90,459 | $60,455 |
| Married Families | 46.0% | 32.0% |
| Poverty Level | 4% | 19% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Rocky river vs Columbia
- The population in Columbia is higher at 128,555, compared to 21,346 in Rocky river.
- Residents in Rocky river have a higher median age of 43.5 years compared to 28.8 years in Columbia.
- Rocky river has a higher median income of $90,459 compared to $60,455 in Columbia.
- A higher percentage of married families is found in Rocky river at 46.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 4% in Rocky river.
- The unemployment rate in Rocky river is higher at 4.2%, compared to 3.8% in Columbia.
Demographics
Demographics Rocky river vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Rocky river | Columbia |
|---|---|---|
| Black | 1 | 11 |
| White | 92 | 73 |
| Asian | 2 | 6 |
| Hispanic | 2 | 4 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rocky river vs Columbia
- In Columbia, the percentage of Black residents is higher at 11% compared to 1% in Rocky river.
- Rocky river has a higher percentage of White residents at 92% compared to 73% in Columbia.
- In Columbia, the Asian population stands at 6%, greater than 2% in Rocky river.
- Columbia has a higher percentage of Hispanic residents at 4%, compared to 2% in Rocky river.
- The percentage of residents identifying as two or more races is higher in Columbia at 6%, compared to 3% in Rocky river.
- The percentage of American Indian residents is the same in both Rocky river and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rocky river | Columbia |
|---|---|---|
| Mental Health Not Good | 13.6% | 16.7% |
| Physical Health Not Good | 8.2% | 11.4% |
| Depression | 23.2% | 25.3% |
| Smoking | 11.5% | 16.3% |
| Binge Drinking | 20.9% | 17.7% |
| Obesity | 27.0% | 33.5% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Rocky river vs Columbia
- In Columbia, a higher percentage report poor mental health at 16.7% compared to 13.6% in Rocky river.
- Higher depression rates are seen in Columbia at 25.3% versus 23.2% in Rocky river.
- Columbia has a higher smoking rate at 16.3% compared to 11.5% in Rocky river.
- Binge drinking is more common in Rocky river at 20.9% compared to 17.7% in Columbia.
- Columbia has higher obesity rates at 33.5% compared to 27.0% in Rocky river.
- Disability percentages are the same in both Rocky river and Columbia at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rocky river | Columbia |
|---|---|---|
| No Schooling | 0.7% (157) | 0.7% (845) |
| High School Diploma | 11.1% (2,360) | 7.8% (9,965) |
| Less than High School | 3.6% (758) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 46.4% (9,894) | 30.5% (39,270) |
Education Levels Comparison: Rocky river vs Columbia
- The percentage of residents with no formal schooling is the same in both Rocky river and Columbia at 0.7%.
- A higher percentage of residents in Rocky river hold a high school diploma at 11.1% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Columbia at 4.2%, compared to 3.6% in Rocky river.
- A higher percentage of residents in Rocky river hold a bachelor's degree or higher at 46.4% compared to 30.5% in Columbia.
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.