Demographics details for Petaluma, CA vs Keuka park, NY
Population Overview
Compare main population characteristics in Petaluma, CA vs Keuka park, NY.
| Data | Petaluma | Keuka park |
|---|---|---|
| Population | 58,652 | 1,092 |
| Median Age | 43.5 years | 20.4 years |
| Median Income | $108,527 | $79,569 |
| Married Families | 44.0% | 15.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.6 | 4.1 |
Population Comparison: Petaluma vs Keuka park
- In Petaluma, the population is higher at 58,652, compared to 1,092 in Keuka park.
- Residents in Petaluma have a higher median age of 43.5 years compared to 20.4 years in Keuka park.
- Petaluma has a higher median income of $108,527 compared to $79,569 in Keuka park.
- A higher percentage of married families is found in Petaluma at 44.0% compared to 15.0% in Keuka park.
- The poverty level is higher in Keuka park at 12%, compared to 7% in Petaluma.
- Keuka park has a higher unemployment rate at 4.1% compared to 3.6% in Petaluma.
Demographics
Demographics Petaluma vs Keuka park provide insight into the diversity of the communities to compare.
| Demographic | Petaluma | Keuka park |
|---|---|---|
| Black | 1 | 1 |
| White | 62 | 97 |
| Asian | 5 | Data is updating |
| Hispanic | 20 | 1 |
| Two or More Races | 11 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Petaluma vs Keuka park
- The percentage of Black residents is the same in both Petaluma and Keuka park at 1%.
- The percentage of White residents is higher in Keuka park at 97% compared to 62% in Petaluma.
- The Asian population is larger in Petaluma at 5% compared to 0% in Keuka park.
- The Hispanic community is larger in Petaluma at 20% compared to 1% in Keuka park.
- More residents identify as two or more races in Petaluma at 11% compared to 1% in Keuka park.
- A greater percentage of American Indian residents live in Petaluma at 1% compared to 0% in Keuka park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Petaluma | Keuka park |
|---|---|---|
| Mental Health Not Good | 15.1% | 14.9% |
| Physical Health Not Good | 9.5% | 9.0% |
| Depression | 20.1% | 25.1% |
| Smoking | 10.5% | 14.8% |
| Binge Drinking | 20.4% | 17.5% |
| Obesity | 27.5% | 29.4% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Petaluma vs Keuka park
- More residents in Petaluma report poor mental health at 15.1% compared to 14.9% in Keuka park.
- Higher depression rates are seen in Keuka park at 25.1% versus 20.1% in Petaluma.
- Keuka park has a higher smoking rate at 14.8% compared to 10.5% in Petaluma.
- Binge drinking is more common in Petaluma at 20.4% compared to 17.5% in Keuka park.
- Keuka park has higher obesity rates at 29.4% compared to 27.5% in Petaluma.
- There is a higher percentage of disabled individuals in Keuka park at 19.0% compared to 10.0% in Petaluma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Petaluma | Keuka park |
|---|---|---|
| No Schooling | 1.0% (558) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (6,434) | 3.6% (39) |
| Less than High School | 11.1% (6,496) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 32.4% (18,996) | 13.6% (149) |
Education Levels Comparison: Petaluma vs Keuka park
- A higher percentage of residents in Petaluma have no formal schooling at 1.0% compared to 0.0% in Keuka park.
- A higher percentage of residents in Petaluma hold a high school diploma at 11.0% compared to 3.6% in Keuka park.
- More residents in Petaluma have less than a high school education at 11.1% compared to 0.0% in Keuka park.
- A higher percentage of residents in Petaluma hold a bachelor's degree or higher at 32.4% 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.