Demographics details for Wheeler, WI vs Westmoreland, TN
Population Overview
Compare main population characteristics in Wheeler, WI vs Westmoreland, TN.
Data | Wheeler | Westmoreland |
---|---|---|
Population | 331 | 2,757 |
Median Age | 42.6 years | 36.8 years |
Median Income | $54,167 | $58,194 |
Married Families | 31.0% | 40.0% |
Poverty Level | 8% | 8% |
Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Wheeler vs Westmoreland
- The population in Westmoreland is higher at 2,757, compared to 331 in Wheeler.
- Residents in Wheeler have a higher median age of 42.6 years compared to 36.8 years in Westmoreland.
- Westmoreland has a higher median income of $58,194, compared to $54,167 in Wheeler.
- In Westmoreland, the percentage of married families is higher at 40.0%, compared to 31.0% in Wheeler.
- The poverty level is identical in both Wheeler and Westmoreland at 8%.
- The unemployment rate in Wheeler is higher at 4.0%, compared to 3.5% in Westmoreland.
Demographics
Demographics Wheeler vs Westmoreland provide insight into the diversity of the communities to compare.
Demographic | Wheeler | Westmoreland |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 92 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 2 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeler vs Westmoreland
- The percentage of Black residents is the same in both Wheeler and Westmoreland at 0%.
- Wheeler has a higher percentage of White residents at 94% compared to 92% in Westmoreland.
- Both Wheeler and Westmoreland have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wheeler at 4% compared to 2% in Westmoreland.
- The percentage of residents identifying as two or more races is higher in Westmoreland at 6%, compared to 2% in Wheeler.
- The percentage of American Indian residents is the same in both Wheeler and Westmoreland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wheeler | Westmoreland |
---|---|---|
Mental Health Not Good | 15.9% | 21.8% |
Physical Health Not Good | 10.8% | 15.7% |
Depression | 24.4% | 31.4% |
Smoking | 17.9% | 26.7% |
Binge Drinking | 23.6% | 14.6% |
Obesity | 37.4% | 38.6% |
Disability Percentage | 24.0% | 15.0% |
Health Statistics Comparison: Wheeler vs Westmoreland
- In Westmoreland, a higher percentage report poor mental health at 21.8% compared to 15.9% in Wheeler.
- Higher depression rates are seen in Westmoreland at 31.4% versus 24.4% in Wheeler.
- Westmoreland has a higher smoking rate at 26.7% compared to 17.9% in Wheeler.
- Binge drinking is more common in Wheeler at 23.6% compared to 14.6% in Westmoreland.
- Westmoreland has higher obesity rates at 38.6% compared to 37.4% in Wheeler.
- Disability percentages are higher in Wheeler at 24.0% compared to 15.0% in Westmoreland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wheeler | Westmoreland |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (10) |
High School Diploma | 18.1% (60) | 25.0% (690) |
Less than High School | 16.3% (54) | 20.9% (577) |
Bachelor's Degree and Higher | 3.9% (13) | 6.3% (173) |
Education Levels Comparison: Wheeler vs Westmoreland
- In Westmoreland, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Wheeler.
- In Westmoreland, the rate of residents with high school diplomas is higher at 25.0% compared to 18.1% in Wheeler.
- The percentage of residents with less than a high school education is higher in Westmoreland at 20.9%, compared to 16.3% in Wheeler.
- In Westmoreland, a larger share of residents have a bachelor's degree or higher at 6.3% 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.