Demographics details for White house, TN vs Wabash, IN
Population Overview
Compare main population characteristics in White house, TN vs Wabash, IN.
| Data | White house | Wabash |
|---|---|---|
| Population | 14,516 | 10,347 |
| Median Age | 36.5 years | 41.0 years |
| Median Income | $85,404 | $51,127 |
| Married Families | 46.0% | 39.0% |
| Poverty Level | 7% | 11% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: White house vs Wabash
- In White house, the population is higher at 14,516, compared to 10,347 in Wabash.
- The median age in Wabash is higher at 41.0 years, compared to 36.5 years in White house.
- White house has a higher median income of $85,404 compared to $51,127 in Wabash.
- A higher percentage of married families is found in White house at 46.0% compared to 39.0% in Wabash.
- The poverty level is higher in Wabash at 11%, compared to 7% in White house.
- Wabash has a higher unemployment rate at 3.5% compared to 3.4% in White house.
Demographics
Demographics White house vs Wabash provide insight into the diversity of the communities to compare.
| Demographic | White house | Wabash |
|---|---|---|
| Black | 2 | Data is updating |
| White | 87 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 6 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: White house vs Wabash
- A higher percentage of Black residents are in White house at 2% compared to 0% in Wabash.
- The percentage of White residents is higher in Wabash at 94% compared to 87% in White house.
- The Asian population is larger in White house at 1% compared to 0% in Wabash.
- The percentage of Hispanic residents is the same in both White house and Wabash at 4%.
- More residents identify as two or more races in White house at 6% compared to 2% in Wabash.
- The percentage of American Indian residents is the same in both White house and Wabash at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White house | Wabash |
|---|---|---|
| Mental Health Not Good | 17.5% | 18.4% |
| Physical Health Not Good | 11.0% | 12.7% |
| Depression | 27.6% | 27.2% |
| Smoking | 17.7% | 22.5% |
| Binge Drinking | 16.7% | 16.7% |
| Obesity | 32.5% | 40.4% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: White house vs Wabash
- In Wabash, a higher percentage report poor mental health at 18.4% compared to 17.5% in White house.
- Depression is more prevalent in White house at 27.6% compared to 27.2% in Wabash.
- Wabash has a higher smoking rate at 22.5% compared to 17.7% in White house.
- Binge drinking rates are similar in both White house and Wabash at 16.7%.
- Wabash has higher obesity rates at 40.4% compared to 32.5% in White house.
- There is a higher percentage of disabled individuals in Wabash at 19.0% 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 | White house | Wabash |
|---|---|---|
| No Schooling | 0.2% (30) | 0.9% (95) |
| High School Diploma | 18.0% (2,617) | 25.5% (2,642) |
| Less than High School | 12.4% (1,794) | 14.2% (1,468) |
| Bachelor's Degree and Higher | 15.4% (2,235) | 15.6% (1,618) |
Education Levels Comparison: White house vs Wabash
- In Wabash, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in White house.
- In Wabash, the rate of residents with high school diplomas is higher at 25.5% compared to 18.0% in White house.
- The percentage of residents with less than a high school education is higher in Wabash at 14.2%, compared to 12.4% in White house.
- In Wabash, a larger share of residents have a bachelor's degree or higher at 15.6% 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.