Demographics details for White house, TN vs Cleveland, OH
Population Overview
Compare main population characteristics in White house, TN vs Cleveland, OH.
| Data | White house | Cleveland |
|---|---|---|
| Population | 14,516 | 361,607 |
| Median Age | 36.5 years | 36.3 years |
| Median Income | $85,404 | $37,271 |
| Married Families | 46.0% | 20.0% |
| Poverty Level | 7% | 23% |
| Unemployment Rate | 3.4 | 5.7 |
Population Comparison: White house vs Cleveland
- The population in Cleveland is higher at 361,607, compared to 14,516 in White house.
- Residents in White house have a higher median age of 36.5 years compared to 36.3 years in Cleveland.
- White house has a higher median income of $85,404 compared to $37,271 in Cleveland.
- A higher percentage of married families is found in White house at 46.0% compared to 20.0% in Cleveland.
- The poverty level is higher in Cleveland at 23%, compared to 7% in White house.
- Cleveland has a higher unemployment rate at 5.7% compared to 3.4% in White house.
Demographics
Demographics White house vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | White house | Cleveland |
|---|---|---|
| Black | 2 | 48 |
| White | 87 | 28 |
| Asian | 1 | 3 |
| Hispanic | 4 | 13 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: White house vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 48% compared to 2% in White house.
- White house has a higher percentage of White residents at 87% compared to 28% in Cleveland.
- In Cleveland, the Asian population stands at 3%, greater than 1% in White house.
- Cleveland has a higher percentage of Hispanic residents at 13%, compared to 4% in White house.
- The percentage of residents identifying as two or more races is higher in Cleveland at 8%, compared to 6% in White house.
- The percentage of American Indian residents is the same in both White house and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White house | Cleveland |
|---|---|---|
| Mental Health Not Good | 17.5% | 20.2% |
| Physical Health Not Good | 11.0% | 16.6% |
| Depression | 27.6% | 24.0% |
| Smoking | 17.7% | 27.1% |
| Binge Drinking | 16.7% | 14.8% |
| Obesity | 32.5% | 42.1% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: White house vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 20.2% compared to 17.5% in White house.
- Depression is more prevalent in White house at 27.6% compared to 24.0% in Cleveland.
- Cleveland has a higher smoking rate at 27.1% compared to 17.7% in White house.
- Binge drinking is more common in White house at 16.7% compared to 14.8% in Cleveland.
- Cleveland has higher obesity rates at 42.1% compared to 32.5% in White house.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% 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 | Cleveland |
|---|---|---|
| No Schooling | 0.2% (30) | 1.6% (5,667) |
| High School Diploma | 18.0% (2,617) | 19.0% (68,853) |
| Less than High School | 12.4% (1,794) | 17.5% (63,329) |
| Bachelor's Degree and Higher | 15.4% (2,235) | 14.3% (51,656) |
Education Levels Comparison: White house vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 1.6% compared to 0.2% in White house.
- In Cleveland, the rate of residents with high school diplomas is higher at 19.0% compared to 18.0% in White house.
- The percentage of residents with less than a high school education is higher in Cleveland at 17.5%, compared to 12.4% in White house.
- A higher percentage of residents in White house hold a bachelor's degree or higher at 15.4% compared to 14.3% in Cleveland.
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.