Demographics details for Denton, MD vs Pond eddy, NY
Population Overview
Compare main population characteristics in Denton, MD vs Pond eddy, NY.
| Data | Denton | Pond eddy |
|---|---|---|
| Population | 4,924 | 389 |
| Median Age | 36.2 years | 45.0 years |
| Median Income | $59,155 | $55,000 |
| Married Families | 28.0% | 65.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Denton vs Pond eddy
- In Denton, the population is higher at 4,924, compared to 389 in Pond eddy.
- The median age in Pond eddy is higher at 45.0 years, compared to 36.2 years in Denton.
- Denton has a higher median income of $59,155 compared to $55,000 in Pond eddy.
- In Pond eddy, the percentage of married families is higher at 65.0%, compared to 28.0% in Denton.
- The poverty level is higher in Pond eddy at 10%, compared to 5% in Denton.
- Pond eddy has a higher unemployment rate at 4.0% compared to 3.2% in Denton.
Demographics
Demographics Denton vs Pond eddy provide insight into the diversity of the communities to compare.
| Demographic | Denton | Pond eddy |
|---|---|---|
| Black | 25 | 2 |
| White | 67 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 2 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Denton vs Pond eddy
- A higher percentage of Black residents are in Denton at 25% compared to 2% in Pond eddy.
- The percentage of White residents is higher in Pond eddy at 95% compared to 67% in Denton.
- In Pond eddy, the Asian population stands at 1%, greater than 0% in Denton.
- The Hispanic community is larger in Denton at 3% compared to 2% in Pond eddy.
- More residents identify as two or more races in Denton at 5% compared to 0% in Pond eddy.
- The percentage of American Indian residents is the same in both Denton and Pond eddy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Denton | Pond eddy |
|---|---|---|
| Mental Health Not Good | 18.7% | Data is updating% |
| Physical Health Not Good | 12.0% | Data is updating% |
| Depression | 22.5% | Data is updating% |
| Smoking | 19.1% | Data is updating% |
| Binge Drinking | 14.4% | Data is updating% |
| Obesity | 43.5% | Data is updating% |
| Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Denton vs Pond eddy
- More residents in Denton report poor mental health at 18.7% compared to 0.0% in Pond eddy.
- Depression is more prevalent in Denton at 22.5% compared to 0.0% in Pond eddy.
- Smoking is more prevalent in Denton at 19.1% compared to 0.0% in Pond eddy.
- Binge drinking is more common in Denton at 14.4% compared to 0.0% in Pond eddy.
- Obesity rates are higher in Denton at 43.5% compared to 0.0% in Pond eddy.
- Disability percentages are higher in Denton at 15.0% compared to 0.0% in Pond eddy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Denton | Pond eddy |
|---|---|---|
| No Schooling | 0.7% (33) | 0.0% (Data is updating) |
| High School Diploma | 19.2% (944) | 0.0% (Data is updating) |
| Less than High School | 23.0% (1,134) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.8% (433) | 0.0% (Data is updating) |
Education Levels Comparison: Denton vs Pond eddy
- A higher percentage of residents in Denton have no formal schooling at 0.7% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Denton hold a high school diploma at 19.2% compared to 0.0% in Pond eddy.
- More residents in Denton have less than a high school education at 23.0% compared to 0.0% in Pond eddy.
- A higher percentage of residents in Denton hold a bachelor's degree or higher at 8.8% compared to 0.0% in Pond eddy.
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.