Demographics details for Bowie, MD vs Keuka park, NY
Population Overview
Compare main population characteristics in Bowie, MD vs Keuka park, NY.
| Data | Bowie | Keuka park |
|---|---|---|
| Population | 57,192 | 1,092 |
| Median Age | 43.2 years | 20.4 years |
| Median Income | $138,797 | $79,569 |
| Married Families | 41.0% | 15.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.8 | 4.1 |
Population Comparison: Bowie vs Keuka park
- In Bowie, the population is higher at 57,192, compared to 1,092 in Keuka park.
- Residents in Bowie have a higher median age of 43.2 years compared to 20.4 years in Keuka park.
- Bowie has a higher median income of $138,797 compared to $79,569 in Keuka park.
- A higher percentage of married families is found in Bowie at 41.0% compared to 15.0% in Keuka park.
- The poverty level is higher in Keuka park at 12%, compared to 5% in Bowie.
- Keuka park has a higher unemployment rate at 4.1% compared to 2.8% in Bowie.
Demographics
Demographics Bowie vs Keuka park provide insight into the diversity of the communities to compare.
| Demographic | Bowie | Keuka park |
|---|---|---|
| Black | 58 | 1 |
| White | 24 | 97 |
| Asian | 3 | Data is updating |
| Hispanic | 8 | 1 |
| Two or More Races | 7 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bowie vs Keuka park
- A higher percentage of Black residents are in Bowie at 58% compared to 1% in Keuka park.
- The percentage of White residents is higher in Keuka park at 97% compared to 24% in Bowie.
- The Asian population is larger in Bowie at 3% compared to 0% in Keuka park.
- The Hispanic community is larger in Bowie at 8% compared to 1% in Keuka park.
- More residents identify as two or more races in Bowie at 7% compared to 1% in Keuka park.
- The percentage of American Indian residents is the same in both Bowie and Keuka park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bowie | Keuka park |
|---|---|---|
| Mental Health Not Good | 12.4% | 14.9% |
| Physical Health Not Good | 7.4% | 9.0% |
| Depression | 13.3% | 25.1% |
| Smoking | 8.7% | 14.8% |
| Binge Drinking | 13.6% | 17.5% |
| Obesity | 35.1% | 29.4% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Bowie vs Keuka park
- In Keuka park, a higher percentage report poor mental health at 14.9% compared to 12.4% in Bowie.
- Higher depression rates are seen in Keuka park at 25.1% versus 13.3% in Bowie.
- Keuka park has a higher smoking rate at 14.8% compared to 8.7% in Bowie.
- More residents engage in binge drinking in Keuka park at 17.5% compared to 13.6% in Bowie.
- Obesity rates are higher in Bowie at 35.1% compared to 29.4% in Keuka park.
- There is a higher percentage of disabled individuals in Keuka park at 19.0% compared to 9.0% in Bowie.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bowie | Keuka park |
|---|---|---|
| No Schooling | 0.9% (531) | 0.0% (Data is updating) |
| High School Diploma | 12.2% (6,950) | 3.6% (39) |
| Less than High School | 5.9% (3,399) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 35.9% (20,525) | 13.6% (149) |
Education Levels Comparison: Bowie vs Keuka park
- A higher percentage of residents in Bowie have no formal schooling at 0.9% compared to 0.0% in Keuka park.
- A higher percentage of residents in Bowie hold a high school diploma at 12.2% compared to 3.6% in Keuka park.
- More residents in Bowie have less than a high school education at 5.9% compared to 0.0% in Keuka park.
- A higher percentage of residents in Bowie hold a bachelor's degree or higher at 35.9% 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.