Demographics details for Westland, MI vs White house, TN
Population Overview
Compare main population characteristics in Westland, MI vs White house, TN.
| Data | Westland | White house |
|---|---|---|
| Population | 84,037 | 14,516 |
| Median Age | 38.3 years | 36.5 years |
| Median Income | $59,930 | $85,404 |
| Married Families | 32.0% | 46.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 4.4 | 3.4 |
Population Comparison: Westland vs White house
- In Westland, the population is higher at 84,037, compared to 14,516 in White house.
- Residents in Westland have a higher median age of 38.3 years compared to 36.5 years in White house.
- White house has a higher median income of $85,404, compared to $59,930 in Westland.
- In White house, the percentage of married families is higher at 46.0%, compared to 32.0% in Westland.
- Westland has a higher poverty level at 8% compared to 7% in White house.
- The unemployment rate in Westland is higher at 4.4%, compared to 3.4% in White house.
Demographics
Demographics Westland vs White house provide insight into the diversity of the communities to compare.
| Demographic | Westland | White house |
|---|---|---|
| Black | 22 | 2 |
| White | 61 | 87 |
| Asian | 4 | 1 |
| Hispanic | 5 | 4 |
| Two or More Races | 7 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Westland vs White house
- A higher percentage of Black residents are in Westland at 22% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 61% in Westland.
- The Asian population is larger in Westland at 4% compared to 1% in White house.
- The Hispanic community is larger in Westland at 5% compared to 4% in White house.
- More residents identify as two or more races in Westland at 7% compared to 6% in White house.
- A greater percentage of American Indian residents live in Westland at 1% compared to 0% in White house.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Westland | White house |
|---|---|---|
| Mental Health Not Good | 17.4% | 17.5% |
| Physical Health Not Good | 11.5% | 11.0% |
| Depression | 23.8% | 27.6% |
| Smoking | 20.7% | 17.7% |
| Binge Drinking | 18.2% | 16.7% |
| Obesity | 33.2% | 32.5% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Westland vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 17.4% in Westland.
- Higher depression rates are seen in White house at 27.6% versus 23.8% in Westland.
- Smoking is more prevalent in Westland at 20.7% compared to 17.7% in White house.
- Binge drinking is more common in Westland at 18.2% compared to 16.7% in White house.
- Obesity rates are higher in Westland at 33.2% compared to 32.5% in White house.
- Disability percentages are higher in Westland at 16.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Westland | White house |
|---|---|---|
| No Schooling | 0.7% (605) | 0.2% (30) |
| High School Diploma | 19.6% (16,482) | 18.0% (2,617) |
| Less than High School | 11.9% (9,973) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 15.7% (13,196) | 15.4% (2,235) |
Education Levels Comparison: Westland vs White house
- A higher percentage of residents in Westland have no formal schooling at 0.7% compared to 0.2% in White house.
- A higher percentage of residents in Westland hold a high school diploma at 19.6% compared to 18.0% in White house.
- The percentage of residents with less than a high school education is higher in White house at 12.4%, compared to 11.9% in Westland.
- A higher percentage of residents in Westland hold a bachelor's degree or higher at 15.7% compared to 15.4% in White house.
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.