Demographics details for Keuka park, NY vs Charlotte, TN
Population Overview
Compare main population characteristics in Keuka park, NY vs Charlotte, TN.
| Data | Keuka park | Charlotte |
|---|---|---|
| Population | 1,092 | 1,674 |
| Median Age | 20.4 years | 36.8 years |
| Median Income | $79,569 | $57,188 |
| Married Families | 15.0% | 46.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 4.1 | 4.3 |
Population Comparison: Keuka park vs Charlotte
- The population in Charlotte is higher at 1,674, compared to 1,092 in Keuka park.
- The median age in Charlotte is higher at 36.8 years, compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569 compared to $57,188 in Charlotte.
- In Charlotte, the percentage of married families is higher at 46.0%, compared to 15.0% in Keuka park.
- The poverty level is higher in Charlotte at 14%, compared to 12% in Keuka park.
- Charlotte has a higher unemployment rate at 4.3% compared to 4.1% in Keuka park.
Demographics
Demographics Keuka park vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Keuka park | Charlotte |
|---|---|---|
| Black | 1 | 6 |
| White | 97 | 82 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Keuka park vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 6% compared to 1% in Keuka park.
- Keuka park has a higher percentage of White residents at 97% compared to 82% in Charlotte.
- Both Keuka park and Charlotte have the same percentage of Asian residents at 0%.
- Charlotte has a higher percentage of Hispanic residents at 4%, compared to 1% in Keuka park.
- The percentage of residents identifying as two or more races is higher in Charlotte at 6%, compared to 1% in Keuka park.
- In Charlotte, the percentage of American Indian residents is higher at 2%, compared to 0% in Keuka park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keuka park | Charlotte |
|---|---|---|
| Mental Health Not Good | 14.9% | 20.3% |
| Physical Health Not Good | 9.0% | 14.7% |
| Depression | 25.1% | 28.8% |
| Smoking | 14.8% | 25.3% |
| Binge Drinking | 17.5% | 16.0% |
| Obesity | 29.4% | 38.9% |
| Disability Percentage | 19.0% | 27.0% |
Health Statistics Comparison: Keuka park vs Charlotte
- In Charlotte, a higher percentage report poor mental health at 20.3% compared to 14.9% in Keuka park.
- Higher depression rates are seen in Charlotte at 28.8% versus 25.1% in Keuka park.
- Charlotte has a higher smoking rate at 25.3% compared to 14.8% in Keuka park.
- Binge drinking is more common in Keuka park at 17.5% compared to 16.0% in Charlotte.
- Charlotte has higher obesity rates at 38.9% compared to 29.4% in Keuka park.
- There is a higher percentage of disabled individuals in Charlotte at 27.0% compared to 19.0% in Keuka park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keuka park | Charlotte |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (6) |
| High School Diploma | 3.6% (39) | 25.3% (424) |
| Less than High School | 0.0% (Data is updating) | 26.0% (436) |
| Bachelor's Degree and Higher | 13.6% (149) | 9.9% (166) |
Education Levels Comparison: Keuka park vs Charlotte
- In Charlotte, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Keuka park.
- In Charlotte, the rate of residents with high school diplomas is higher at 25.3% compared to 3.6% in Keuka park.
- The percentage of residents with less than a high school education is higher in Charlotte at 26.0%, compared to 0.0% in Keuka park.
- A higher percentage of residents in Keuka park hold a bachelor's degree or higher at 13.6% compared to 9.9% in Charlotte.
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.