Demographics details for Cleveland, GA vs Dayton, PA
Population Overview
Compare main population characteristics in Cleveland, GA vs Dayton, PA.
Data | Cleveland | Dayton |
---|---|---|
Population | 3,548 | 544 |
Median Age | 39.6 years | 44.7 years |
Median Income | $46,994 | $53,750 |
Married Families | 25.0% | 50.0% |
Poverty Level | 12% | 7% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Cleveland vs Dayton
- In Cleveland, the population is higher at 3,548, compared to 544 in Dayton.
- The median age in Dayton is higher at 44.7 years, compared to 39.6 years in Cleveland.
- Dayton has a higher median income of $53,750, compared to $46,994 in Cleveland.
- In Dayton, the percentage of married families is higher at 50.0%, compared to 25.0% in Cleveland.
- Cleveland has a higher poverty level at 12% compared to 7% in Dayton.
- Dayton has a higher unemployment rate at 4.5% compared to 3.5% in Cleveland.
Demographics
Demographics Cleveland vs Dayton provide insight into the diversity of the communities to compare.
Demographic | Cleveland | Dayton |
---|---|---|
Black | 5 | Data is updating |
White | 84 | 96 |
Asian | 2 | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 7 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Dayton
- A higher percentage of Black residents are in Cleveland at 5% compared to 0% in Dayton.
- The percentage of White residents is higher in Dayton at 96% compared to 84% in Cleveland.
- The Asian population is larger in Cleveland at 2% compared to 0% in Dayton.
- The Hispanic community is larger in Cleveland at 2% compared to 0% in Dayton.
- More residents identify as two or more races in Cleveland at 7% compared to 4% in Dayton.
- The percentage of American Indian residents is the same in both Cleveland and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | Dayton |
---|---|---|
Mental Health Not Good | 18.1% | 18.1% |
Physical Health Not Good | 12.8% | 13.0% |
Depression | 24.2% | 24.0% |
Smoking | 18.9% | 22.4% |
Binge Drinking | 16.2% | 18.3% |
Obesity | 33.2% | 36.0% |
Disability Percentage | 17.0% | 22.0% |
Health Statistics Comparison: Cleveland vs Dayton
- Poor mental health levels are equal in both Cleveland and Dayton at 18.1%.
- Depression is more prevalent in Cleveland at 24.2% compared to 24.0% in Dayton.
- Dayton has a higher smoking rate at 22.4% compared to 18.9% in Cleveland.
- More residents engage in binge drinking in Dayton at 18.3% compared to 16.2% in Cleveland.
- Dayton has higher obesity rates at 36.0% compared to 33.2% in Cleveland.
- There is a higher percentage of disabled individuals in Dayton at 22.0% compared to 17.0% in Cleveland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | Dayton |
---|---|---|
No Schooling | 0.8% (30) | 0.6% (3) |
High School Diploma | 18.5% (656) | 35.1% (191) |
Less than High School | 15.4% (545) | 15.8% (86) |
Bachelor's Degree and Higher | 10.2% (362) | 9.2% (50) |
Education Levels Comparison: Cleveland vs Dayton
- A higher percentage of residents in Cleveland have no formal schooling at 0.8% compared to 0.6% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 35.1% compared to 18.5% in Cleveland.
- The percentage of residents with less than a high school education is higher in Dayton at 15.8%, compared to 15.4% in Cleveland.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 10.2% compared to 9.2% in Dayton.
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.