Demographics details for Spokane, WA vs Keuka park, NY
Population Overview
Compare main population characteristics in Spokane, WA vs Keuka park, NY.
| Data | Spokane | Keuka park |
|---|---|---|
| Population | 230,160 | 1,092 |
| Median Age | 37.0 years | 20.4 years |
| Median Income | $63,316 | $79,569 |
| Married Families | 34.0% | 15.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Spokane vs Keuka park
- In Spokane, the population is higher at 230,160, compared to 1,092 in Keuka park.
- Residents in Spokane have a higher median age of 37.0 years compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569, compared to $63,316 in Spokane.
- A higher percentage of married families is found in Spokane at 34.0% compared to 15.0% in Keuka park.
- The poverty level is identical in both Spokane and Keuka park at 12%.
- The unemployment rate in Spokane is higher at 4.2%, compared to 4.1% in Keuka park.
Demographics
Demographics Spokane vs Keuka park provide insight into the diversity of the communities to compare.
| Demographic | Spokane | Keuka park |
|---|---|---|
| Black | 3 | 1 |
| White | 77 | 97 |
| Asian | 3 | Data is updating |
| Hispanic | 7 | 1 |
| Two or More Races | 9 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Spokane vs Keuka park
- A higher percentage of Black residents are in Spokane at 3% compared to 1% in Keuka park.
- The percentage of White residents is higher in Keuka park at 97% compared to 77% in Spokane.
- The Asian population is larger in Spokane at 3% compared to 0% in Keuka park.
- The Hispanic community is larger in Spokane at 7% compared to 1% in Keuka park.
- More residents identify as two or more races in Spokane at 9% compared to 1% in Keuka park.
- A greater percentage of American Indian residents live in Spokane at 1% compared to 0% in Keuka park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spokane | Keuka park |
|---|---|---|
| Mental Health Not Good | 18.8% | 14.9% |
| Physical Health Not Good | 12.0% | 9.0% |
| Depression | 28.9% | 25.1% |
| Smoking | 15.9% | 14.8% |
| Binge Drinking | 17.8% | 17.5% |
| Obesity | 30.4% | 29.4% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Spokane vs Keuka park
- More residents in Spokane report poor mental health at 18.8% compared to 14.9% in Keuka park.
- Depression is more prevalent in Spokane at 28.9% compared to 25.1% in Keuka park.
- Smoking is more prevalent in Spokane at 15.9% compared to 14.8% in Keuka park.
- Binge drinking is more common in Spokane at 17.8% compared to 17.5% in Keuka park.
- Obesity rates are higher in Spokane at 30.4% 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 Spokane.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spokane | Keuka park |
|---|---|---|
| No Schooling | 0.7% (1,705) | 0.0% (Data is updating) |
| High School Diploma | 12.2% (28,084) | 3.6% (39) |
| Less than High School | 8.4% (19,336) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 22.6% (52,068) | 13.6% (149) |
Education Levels Comparison: Spokane vs Keuka park
- A higher percentage of residents in Spokane have no formal schooling at 0.7% compared to 0.0% in Keuka park.
- A higher percentage of residents in Spokane hold a high school diploma at 12.2% compared to 3.6% in Keuka park.
- More residents in Spokane have less than a high school education at 8.4% compared to 0.0% in Keuka park.
- A higher percentage of residents in Spokane hold a bachelor's degree or higher at 22.6% 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.