Demographics details for Dayton, TN vs Sudlersville, MD
Population Overview
Compare main population characteristics in Dayton, TN vs Sudlersville, MD.
| Data | Dayton | Sudlersville |
|---|---|---|
| Population | 7,347 | 516 |
| Median Age | 34.6 years | 44.4 years |
| Median Income | $54,511 | $40,000 |
| Married Families | 36.0% | 21.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Dayton vs Sudlersville
- In Dayton, the population is higher at 7,347, compared to 516 in Sudlersville.
- The median age in Sudlersville is higher at 44.4 years, compared to 34.6 years in Dayton.
- Dayton has a higher median income of $54,511 compared to $40,000 in Sudlersville.
- A higher percentage of married families is found in Dayton at 36.0% compared to 21.0% in Sudlersville.
- Dayton has a higher poverty level at 15% compared to 12% in Sudlersville.
- The unemployment rate is the same in both Dayton and Sudlersville at 3.5%.
Demographics
Demographics Dayton vs Sudlersville provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Sudlersville |
|---|---|---|
| Black | 4 | 5 |
| White | 83 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 6 | 9 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Sudlersville
- In Sudlersville, the percentage of Black residents is higher at 5% compared to 4% in Dayton.
- The percentage of White residents is higher in Sudlersville at 86% compared to 83% in Dayton.
- The Asian population is larger in Dayton at 2% compared to 0% in Sudlersville.
- Sudlersville has a higher percentage of Hispanic residents at 9%, compared to 6% in Dayton.
- More residents identify as two or more races in Dayton at 5% compared to 0% in Sudlersville.
- The percentage of American Indian residents is the same in both Dayton and Sudlersville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Sudlersville |
|---|---|---|
| Mental Health Not Good | 22.9% | 18.1% |
| Physical Health Not Good | 17.4% | 12.1% |
| Depression | 32.0% | 22.4% |
| Smoking | 28.8% | 19.8% |
| Binge Drinking | 13.4% | 16.2% |
| Obesity | 44.2% | 39.1% |
| Disability Percentage | 20.0% | 19.0% |
Health Statistics Comparison: Dayton vs Sudlersville
- More residents in Dayton report poor mental health at 22.9% compared to 18.1% in Sudlersville.
- Depression is more prevalent in Dayton at 32.0% compared to 22.4% in Sudlersville.
- Smoking is more prevalent in Dayton at 28.8% compared to 19.8% in Sudlersville.
- More residents engage in binge drinking in Sudlersville at 16.2% compared to 13.4% in Dayton.
- Obesity rates are higher in Dayton at 44.2% compared to 39.1% in Sudlersville.
- Disability percentages are higher in Dayton at 20.0% compared to 19.0% in Sudlersville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Sudlersville |
|---|---|---|
| No Schooling | 2.0% (145) | 0.6% (3) |
| High School Diploma | 19.8% (1,453) | 29.7% (153) |
| Less than High School | 23.6% (1,732) | 8.9% (46) |
| Bachelor's Degree and Higher | 10.7% (783) | 9.1% (47) |
Education Levels Comparison: Dayton vs Sudlersville
- A higher percentage of residents in Dayton have no formal schooling at 2.0% compared to 0.6% in Sudlersville.
- In Sudlersville, the rate of residents with high school diplomas is higher at 29.7% compared to 19.8% in Dayton.
- More residents in Dayton have less than a high school education at 23.6% compared to 8.9% in Sudlersville.
- A higher percentage of residents in Dayton hold a bachelor's degree or higher at 10.7% compared to 9.1% in Sudlersville.
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.