Demographics details for Savannah, GA vs Keuka park, NY
Population Overview
Compare main population characteristics in Savannah, GA vs Keuka park, NY.
| Data | Savannah | Keuka park |
|---|---|---|
| Population | 148,004 | 1,092 |
| Median Age | 33.5 years | 20.4 years |
| Median Income | $54,748 | $79,569 |
| Married Families | 26.0% | 15.0% |
| Poverty Level | 20% | 12% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Savannah vs Keuka park
- In Savannah, the population is higher at 148,004, compared to 1,092 in Keuka park.
- Residents in Savannah have a higher median age of 33.5 years compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569, compared to $54,748 in Savannah.
- A higher percentage of married families is found in Savannah at 26.0% compared to 15.0% in Keuka park.
- Savannah has a higher poverty level at 20% compared to 12% in Keuka park.
- The unemployment rate in Savannah is higher at 4.2%, compared to 4.1% in Keuka park.
Demographics
Demographics Savannah vs Keuka park provide insight into the diversity of the communities to compare.
| Demographic | Savannah | Keuka park |
|---|---|---|
| Black | 53 | 1 |
| White | 34 | 97 |
| Asian | 3 | Data is updating |
| Hispanic | 6 | 1 |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Savannah vs Keuka park
- A higher percentage of Black residents are in Savannah at 53% compared to 1% in Keuka park.
- The percentage of White residents is higher in Keuka park at 97% compared to 34% in Savannah.
- The Asian population is larger in Savannah at 3% compared to 0% in Keuka park.
- The Hispanic community is larger in Savannah at 6% compared to 1% in Keuka park.
- More residents identify as two or more races in Savannah at 4% compared to 1% in Keuka park.
- The percentage of American Indian residents is the same in both Savannah and Keuka park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Savannah | Keuka park |
|---|---|---|
| Mental Health Not Good | 17.5% | 14.9% |
| Physical Health Not Good | 13.3% | 9.0% |
| Depression | 19.4% | 25.1% |
| Smoking | 19.7% | 14.8% |
| Binge Drinking | 14.3% | 17.5% |
| Obesity | 36.9% | 29.4% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Savannah vs Keuka park
- More residents in Savannah report poor mental health at 17.5% compared to 14.9% in Keuka park.
- Higher depression rates are seen in Keuka park at 25.1% versus 19.4% in Savannah.
- Smoking is more prevalent in Savannah at 19.7% compared to 14.8% in Keuka park.
- More residents engage in binge drinking in Keuka park at 17.5% compared to 14.3% in Savannah.
- Obesity rates are higher in Savannah at 36.9% compared to 29.4% in Keuka park.
- There is a higher percentage of disabled individuals in Keuka park at 19.0% compared to 15.0% in Savannah.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Savannah | Keuka park |
|---|---|---|
| No Schooling | 0.6% (853) | 0.0% (Data is updating) |
| High School Diploma | 14.6% (21,663) | 3.6% (39) |
| Less than High School | 8.0% (11,888) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 20.4% (30,130) | 13.6% (149) |
Education Levels Comparison: Savannah vs Keuka park
- A higher percentage of residents in Savannah have no formal schooling at 0.6% compared to 0.0% in Keuka park.
- A higher percentage of residents in Savannah hold a high school diploma at 14.6% compared to 3.6% in Keuka park.
- More residents in Savannah have less than a high school education at 8.0% compared to 0.0% in Keuka park.
- A higher percentage of residents in Savannah hold a bachelor's degree or higher at 20.4% compared to 13.6% in Keuka park.
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.