Demographics details for White house, TN vs San mateo, CA
Population Overview
Compare main population characteristics in White house, TN vs San mateo, CA.
| Data | White house | San mateo |
|---|---|---|
| Population | 14,516 | 100,984 |
| Median Age | 36.5 years | 38.1 years |
| Median Income | $85,404 | $149,152 |
| Married Families | 46.0% | 44.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 3.4 | 3.4 |
Population Comparison: White house vs San mateo
- The population in San mateo is higher at 100,984, compared to 14,516 in White house.
- The median age in San mateo is higher at 38.1 years, compared to 36.5 years in White house.
- San mateo has a higher median income of $149,152, compared to $85,404 in White house.
- A higher percentage of married families is found in White house at 46.0% compared to 44.0% in San mateo.
- The poverty level is higher in San mateo at 8%, compared to 7% in White house.
- The unemployment rate is the same in both White house and San mateo at 3.4%.
Demographics
Demographics White house vs San mateo provide insight into the diversity of the communities to compare.
| Demographic | White house | San mateo |
|---|---|---|
| Black | 2 | 2 |
| White | 87 | 32 |
| Asian | 1 | 28 |
| Hispanic | 4 | 25 |
| Two or More Races | 6 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: White house vs San mateo
- The percentage of Black residents is the same in both White house and San mateo at 2%.
- White house has a higher percentage of White residents at 87% compared to 32% in San mateo.
- In San mateo, the Asian population stands at 28%, greater than 1% in White house.
- San mateo has a higher percentage of Hispanic residents at 25%, compared to 4% in White house.
- The percentage of residents identifying as two or more races is higher in San mateo at 12%, compared to 6% in White house.
- In San mateo, 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 | San mateo |
|---|---|---|
| Mental Health Not Good | 17.5% | 13.1% |
| Physical Health Not Good | 11.0% | 8.4% |
| Depression | 27.6% | 15.5% |
| Smoking | 17.7% | 8.7% |
| Binge Drinking | 16.7% | 16.2% |
| Obesity | 32.5% | 22.8% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: White house vs San mateo
- More residents in White house report poor mental health at 17.5% compared to 13.1% in San mateo.
- Depression is more prevalent in White house at 27.6% compared to 15.5% in San mateo.
- Smoking is more prevalent in White house at 17.7% compared to 8.7% in San mateo.
- Binge drinking is more common in White house at 16.7% compared to 16.2% in San mateo.
- Obesity rates are higher in White house at 32.5% compared to 22.8% in San mateo.
- Disability percentages are higher in White house at 11.0% compared to 9.0% in San mateo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | White house | San mateo |
|---|---|---|
| No Schooling | 0.2% (30) | 1.8% (1,834) |
| High School Diploma | 18.0% (2,617) | 8.2% (8,262) |
| Less than High School | 12.4% (1,794) | 11.5% (11,608) |
| Bachelor's Degree and Higher | 15.4% (2,235) | 44.1% (44,508) |
Education Levels Comparison: White house vs San mateo
- In San mateo, a larger percentage of residents lack formal schooling at 1.8% 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 8.2% in San mateo.
- More residents in White house have less than a high school education at 12.4% compared to 11.5% in San mateo.
- In San mateo, a larger share of residents have a bachelor's degree or higher at 44.1% 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.