Demographics details for White house, TN vs South gate, CA
Population Overview
Compare main population characteristics in White house, TN vs South gate, CA.
| Data | White house | South gate |
|---|---|---|
| Population | 14,516 | 90,926 |
| Median Age | 36.5 years | 33.7 years |
| Median Income | $85,404 | $67,188 |
| Married Families | 46.0% | 34.0% |
| Poverty Level | 7% | 18% |
| Unemployment Rate | 3.4 | 6.1 |
Population Comparison: White house vs South gate
- The population in South gate is higher at 90,926, compared to 14,516 in White house.
- Residents in White house have a higher median age of 36.5 years compared to 33.7 years in South gate.
- White house has a higher median income of $85,404 compared to $67,188 in South gate.
- A higher percentage of married families is found in White house at 46.0% compared to 34.0% in South gate.
- The poverty level is higher in South gate at 18%, compared to 7% in White house.
- South gate has a higher unemployment rate at 6.1% compared to 3.4% in White house.
Demographics
Demographics White house vs South gate provide insight into the diversity of the communities to compare.
| Demographic | White house | South gate |
|---|---|---|
| Black | 2 | 1 |
| White | 87 | -21 |
| Asian | 1 | 1 |
| Hispanic | 4 | 97 |
| Two or More Races | 6 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: White house vs South gate
- A higher percentage of Black residents are in White house at 2% compared to 1% in South gate.
- White house has a higher percentage of White residents at 87% compared to -21% in South gate.
- Both White house and South gate have the same percentage of Asian residents at 1%.
- South gate has a higher percentage of Hispanic residents at 97%, compared to 4% in White house.
- The percentage of residents identifying as two or more races is higher in South gate at 21%, compared to 6% in White house.
- In South gate, the percentage of American Indian residents is higher at 1%, compared to 0% in White house.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White house | South gate |
|---|---|---|
| Mental Health Not Good | 17.5% | 16.8% |
| Physical Health Not Good | 11.0% | 14.9% |
| Depression | 27.6% | 16.3% |
| Smoking | 17.7% | 12.7% |
| Binge Drinking | 16.7% | 14.5% |
| Obesity | 32.5% | 34.1% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: White house vs South gate
- More residents in White house report poor mental health at 17.5% compared to 16.8% in South gate.
- Depression is more prevalent in White house at 27.6% compared to 16.3% in South gate.
- Smoking is more prevalent in White house at 17.7% compared to 12.7% in South gate.
- Binge drinking is more common in White house at 16.7% compared to 14.5% in South gate.
- South gate has higher obesity rates at 34.1% compared to 32.5% in White house.
- Disability percentages are higher in White house at 11.0% compared to 9.0% in South gate.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White house | South gate |
|---|---|---|
| No Schooling | 0.2% (30) | 4.6% (4,160) |
| High School Diploma | 18.0% (2,617) | 14.9% (13,536) |
| Less than High School | 12.4% (1,794) | 53.3% (48,481) |
| Bachelor's Degree and Higher | 15.4% (2,235) | 7.5% (6,822) |
Education Levels Comparison: White house vs South gate
- In South gate, a larger percentage of residents lack formal schooling at 4.6% compared to 0.2% in White house.
- A higher percentage of residents in White house hold a high school diploma at 18.0% compared to 14.9% in South gate.
- The percentage of residents with less than a high school education is higher in South gate at 53.3%, 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 7.5% in South gate.
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.