Demographics details for Water valley, MS vs Dayton, OH
Population Overview
Compare main population characteristics in Water valley, MS vs Dayton, OH.
| Data | Water valley | Dayton |
|---|---|---|
| Population | 3,361 | 135,944 |
| Median Age | 35.8 years | 34.0 years |
| Median Income | $45,718 | $41,443 |
| Married Families | 27.0% | 21.0% |
| Poverty Level | Data is updating | 18% |
| Unemployment Rate | 4.3 | 6.8 |
Population Comparison: Water valley vs Dayton
- The population in Dayton is higher at 135,944, compared to 3,361 in Water valley.
- Residents in Water valley have a higher median age of 35.8 years compared to 34.0 years in Dayton.
- Water valley has a higher median income of $45,718 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Water valley at 27.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 0% in Water valley.
- Dayton has a higher unemployment rate at 6.8% compared to 4.3% in Water valley.
Demographics
Demographics Water valley vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Water valley | Dayton |
|---|---|---|
| Black | 49 | 38 |
| White | 49 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 5 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Water valley vs Dayton
- A higher percentage of Black residents are in Water valley at 49% compared to 38% in Dayton.
- The percentage of White residents is higher in Dayton at 50% compared to 49% in Water valley.
- In Dayton, the Asian population stands at 1%, greater than 0% in Water valley.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 2% in Water valley.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 0% in Water valley.
- The percentage of American Indian residents is the same in both Water valley and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Water valley | Dayton |
|---|---|---|
| Mental Health Not Good | 18.2% | 21.9% |
| Physical Health Not Good | 13.8% | 16.5% |
| Depression | 22.0% | 26.5% |
| Smoking | 23.1% | 26.0% |
| Binge Drinking | 12.9% | 15.2% |
| Obesity | 44.0% | 47.6% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Water valley vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 18.2% in Water valley.
- Higher depression rates are seen in Dayton at 26.5% versus 22.0% in Water valley.
- Dayton has a higher smoking rate at 26.0% compared to 23.1% in Water valley.
- More residents engage in binge drinking in Dayton at 15.2% compared to 12.9% in Water valley.
- Dayton has higher obesity rates at 47.6% compared to 44.0% in Water valley.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 14.0% in Water valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Water valley | Dayton |
|---|---|---|
| No Schooling | 1.0% (34) | 0.9% (1,157) |
| High School Diploma | 24.0% (805) | 16.3% (22,101) |
| Less than High School | 13.0% (437) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 9.6% (322) | 12.7% (17,260) |
Education Levels Comparison: Water valley vs Dayton
- A higher percentage of residents in Water valley have no formal schooling at 1.0% compared to 0.9% in Dayton.
- A higher percentage of residents in Water valley hold a high school diploma at 24.0% compared to 16.3% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 13.0% in Water valley.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 9.6% in Water valley.
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.