Demographics details for Forest, MS vs Rocky river, OH
Population Overview
Compare main population characteristics in Forest, MS vs Rocky river, OH.
| Data | Forest | Rocky river |
|---|---|---|
| Population | 5,330 | 21,346 |
| Median Age | 36.4 years | 43.5 years |
| Median Income | $50,093 | $90,459 |
| Married Families | 35.0% | 46.0% |
| Poverty Level | 18% | 4% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Forest vs Rocky river
- The population in Rocky river is higher at 21,346, compared to 5,330 in Forest.
- The median age in Rocky river is higher at 43.5 years, compared to 36.4 years in Forest.
- Rocky river has a higher median income of $90,459, compared to $50,093 in Forest.
- In Rocky river, the percentage of married families is higher at 46.0%, compared to 35.0% in Forest.
- Forest has a higher poverty level at 18% compared to 4% in Rocky river.
- The unemployment rate in Forest is higher at 4.5%, compared to 4.2% in Rocky river.
Demographics
Demographics Forest vs Rocky river provide insight into the diversity of the communities to compare.
| Demographic | Forest | Rocky river |
|---|---|---|
| Black | 43 | 1 |
| White | 24 | 92 |
| Asian | Data is updating | 2 |
| Hispanic | 30 | 2 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest vs Rocky river
- A higher percentage of Black residents are in Forest at 43% compared to 1% in Rocky river.
- The percentage of White residents is higher in Rocky river at 92% compared to 24% in Forest.
- In Rocky river, the Asian population stands at 2%, greater than 0% in Forest.
- The Hispanic community is larger in Forest at 30% compared to 2% in Rocky river.
- Both Forest and Rocky river have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Forest and Rocky river at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest | Rocky river |
|---|---|---|
| Mental Health Not Good | 18.9% | 13.6% |
| Physical Health Not Good | 16.8% | 8.2% |
| Depression | 21.2% | 23.2% |
| Smoking | 26.1% | 11.5% |
| Binge Drinking | 11.8% | 20.9% |
| Obesity | 45.7% | 27.0% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Forest vs Rocky river
- More residents in Forest report poor mental health at 18.9% compared to 13.6% in Rocky river.
- Higher depression rates are seen in Rocky river at 23.2% versus 21.2% in Forest.
- Smoking is more prevalent in Forest at 26.1% compared to 11.5% in Rocky river.
- More residents engage in binge drinking in Rocky river at 20.9% compared to 11.8% in Forest.
- Obesity rates are higher in Forest at 45.7% compared to 27.0% in Rocky river.
- Disability percentages are higher in Forest at 20.0% compared to 11.0% in Rocky river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Forest | Rocky river |
|---|---|---|
| No Schooling | 4.4% (232) | 0.7% (157) |
| High School Diploma | 10.5% (557) | 11.1% (2,360) |
| Less than High School | 33.4% (1,779) | 3.6% (758) |
| Bachelor's Degree and Higher | 8.5% (455) | 46.4% (9,894) |
Education Levels Comparison: Forest vs Rocky river
- A higher percentage of residents in Forest have no formal schooling at 4.4% compared to 0.7% in Rocky river.
- In Rocky river, the rate of residents with high school diplomas is higher at 11.1% compared to 10.5% in Forest.
- More residents in Forest have less than a high school education at 33.4% compared to 3.6% in Rocky river.
- In Rocky river, a larger share of residents have a bachelor's degree or higher at 46.4% compared to 8.5% in Forest.
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.