Demographics details for Wheeler, WI vs Keyport, WA
Population Overview
Compare main population characteristics in Wheeler, WI vs Keyport, WA.
Data | Wheeler | Keyport |
---|---|---|
Population | 331 | 284 |
Median Age | 42.6 years | 57.0 years |
Median Income | $54,167 | $128,221 |
Married Families | 31.0% | 58.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 4.0 | 3.0 |
Population Comparison: Wheeler vs Keyport
- In Wheeler, the population is higher at 331, compared to 284 in Keyport.
- The median age in Keyport is higher at 57.0 years, compared to 42.6 years in Wheeler.
- Keyport has a higher median income of $128,221, compared to $54,167 in Wheeler.
- In Keyport, the percentage of married families is higher at 58.0%, compared to 31.0% in Wheeler.
- Wheeler has a higher poverty level at 8% compared to 5% in Keyport.
- The unemployment rate in Wheeler is higher at 4.0%, compared to 3.0% in Keyport.
Demographics
Demographics Wheeler vs Keyport provide insight into the diversity of the communities to compare.
Demographic | Wheeler | Keyport |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 5 |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs Keyport
- The percentage of Black residents is the same in both Wheeler and Keyport at 0%.
- The percentage of White residents is higher in Keyport at 95% compared to 94% in Wheeler.
- Both Wheeler and Keyport have the same percentage of Asian residents at 0%.
- Keyport has a higher percentage of Hispanic residents at 5%, compared to 4% in Wheeler.
- More residents identify as two or more races in Wheeler at 2% compared to 0% in Keyport.
- The percentage of American Indian residents is the same in both Wheeler and Keyport at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wheeler | Keyport |
---|---|---|
Mental Health Not Good | 15.9% | 14.9% |
Physical Health Not Good | 10.8% | 9.2% |
Depression | 24.4% | 26.4% |
Smoking | 17.9% | 11.5% |
Binge Drinking | 23.6% | 18.9% |
Obesity | 37.4% | 30.8% |
Disability Percentage | 24.0% | 24.0% |
Health Statistics Comparison: Wheeler vs Keyport
- More residents in Wheeler report poor mental health at 15.9% compared to 14.9% in Keyport.
- Higher depression rates are seen in Keyport at 26.4% versus 24.4% in Wheeler.
- Smoking is more prevalent in Wheeler at 17.9% compared to 11.5% in Keyport.
- Binge drinking is more common in Wheeler at 23.6% compared to 18.9% in Keyport.
- Obesity rates are higher in Wheeler at 37.4% compared to 30.8% in Keyport.
- Disability percentages are the same in both Wheeler and Keyport at 24.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wheeler | Keyport |
---|---|---|
No Schooling | 0.0% (Data is updating) | 6.0% (17) |
High School Diploma | 18.1% (60) | 8.8% (25) |
Less than High School | 16.3% (54) | 12.0% (34) |
Bachelor's Degree and Higher | 3.9% (13) | 37.3% (106) |
Education Levels Comparison: Wheeler vs Keyport
- In Keyport, a larger percentage of residents lack formal schooling at 6.0% compared to 0.0% in Wheeler.
- A higher percentage of residents in Wheeler hold a high school diploma at 18.1% compared to 8.8% in Keyport.
- More residents in Wheeler have less than a high school education at 16.3% compared to 12.0% in Keyport.
- In Keyport, a larger share of residents have a bachelor's degree or higher at 37.3% compared to 3.9% in Wheeler.
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.