Demographics details for Keuka park, NY vs Tustin, CA
Population Overview
Compare main population characteristics in Keuka park, NY vs Tustin, CA.
| Data | Keuka park | Tustin |
|---|---|---|
| Population | 1,092 | 78,418 |
| Median Age | 20.4 years | 36.2 years |
| Median Income | $79,569 | $102,065 |
| Married Families | 15.0% | 40.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.1 | 4.0 |
Population Comparison: Keuka park vs Tustin
- The population in Tustin is higher at 78,418, compared to 1,092 in Keuka park.
- The median age in Tustin is higher at 36.2 years, compared to 20.4 years in Keuka park.
- Tustin has a higher median income of $102,065, compared to $79,569 in Keuka park.
- In Tustin, the percentage of married families is higher at 40.0%, compared to 15.0% in Keuka park.
- Keuka park has a higher poverty level at 12% compared to 8% in Tustin.
- The unemployment rate in Keuka park is higher at 4.1%, compared to 4.0% in Tustin.
Demographics
Demographics Keuka park vs Tustin provide insight into the diversity of the communities to compare.
| Demographic | Keuka park | Tustin |
|---|---|---|
| Black | 1 | 2 |
| White | 97 | 19 |
| Asian | Data is updating | 26 |
| Hispanic | 1 | 41 |
| Two or More Races | 1 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Keuka park vs Tustin
- In Tustin, the percentage of Black residents is higher at 2% compared to 1% in Keuka park.
- Keuka park has a higher percentage of White residents at 97% compared to 19% in Tustin.
- In Tustin, the Asian population stands at 26%, greater than 0% in Keuka park.
- Tustin has a higher percentage of Hispanic residents at 41%, compared to 1% in Keuka park.
- The percentage of residents identifying as two or more races is higher in Tustin at 11%, compared to 1% in Keuka park.
- In Tustin, the percentage of American Indian residents is higher at 1%, compared to 0% in Keuka park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keuka park | Tustin |
|---|---|---|
| Mental Health Not Good | 14.9% | 14.0% |
| Physical Health Not Good | 9.0% | 9.5% |
| Depression | 25.1% | 16.5% |
| Smoking | 14.8% | 9.4% |
| Binge Drinking | 17.5% | 15.8% |
| Obesity | 29.4% | 25.5% |
| Disability Percentage | 19.0% | 7.0% |
Health Statistics Comparison: Keuka park vs Tustin
- More residents in Keuka park report poor mental health at 14.9% compared to 14.0% in Tustin.
- Depression is more prevalent in Keuka park at 25.1% compared to 16.5% in Tustin.
- Smoking is more prevalent in Keuka park at 14.8% compared to 9.4% in Tustin.
- Binge drinking is more common in Keuka park at 17.5% compared to 15.8% in Tustin.
- Obesity rates are higher in Keuka park at 29.4% compared to 25.5% in Tustin.
- Disability percentages are higher in Keuka park at 19.0% compared to 7.0% in Tustin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keuka park | Tustin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.8% (2,234) |
| High School Diploma | 3.6% (39) | 9.7% (7,595) |
| Less than High School | 0.0% (Data is updating) | 14.9% (11,700) |
| Bachelor's Degree and Higher | 13.6% (149) | 31.0% (24,275) |
Education Levels Comparison: Keuka park vs Tustin
- In Tustin, a larger percentage of residents lack formal schooling at 2.8% compared to 0.0% in Keuka park.
- In Tustin, the rate of residents with high school diplomas is higher at 9.7% compared to 3.6% in Keuka park.
- The percentage of residents with less than a high school education is higher in Tustin at 14.9%, compared to 0.0% in Keuka park.
- In Tustin, a larger share of residents have a bachelor's degree or higher at 31.0% 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.