Demographics details for Waterproof, LA vs Santa ana, CA
Population Overview
Compare main population characteristics in Waterproof, LA vs Santa ana, CA.
| Data | Waterproof | Santa ana |
|---|---|---|
| Population | 499 | 308,189 |
| Median Age | 37.0 years | 33.4 years |
| Median Income | $21,953 | $84,210 |
| Married Families | 9.0% | 35.0% |
| Poverty Level | 30% | 14% |
| Unemployment Rate | 5.0 | 4.1 |
Population Comparison: Waterproof vs Santa ana
- The population in Santa ana is higher at 308,189, compared to 499 in Waterproof.
- Residents in Waterproof have a higher median age of 37.0 years compared to 33.4 years in Santa ana.
- Santa ana has a higher median income of $84,210, compared to $21,953 in Waterproof.
- In Santa ana, the percentage of married families is higher at 35.0%, compared to 9.0% in Waterproof.
- Waterproof has a higher poverty level at 30% compared to 14% in Santa ana.
- The unemployment rate in Waterproof is higher at 5.0%, compared to 4.1% in Santa ana.
Demographics
Demographics Waterproof vs Santa ana provide insight into the diversity of the communities to compare.
| Demographic | Waterproof | Santa ana |
|---|---|---|
| Black | 103 | 1 |
| White | -12 | -5 |
| Asian | 7 | 12 |
| Hispanic | Data is updating | 78 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterproof vs Santa ana
- A higher percentage of Black residents are in Waterproof at 103% compared to 1% in Santa ana.
- The percentage of White residents is higher in Santa ana at -5% compared to -12% in Waterproof.
- In Santa ana, the Asian population stands at 12%, greater than 7% in Waterproof.
- Santa ana has a higher percentage of Hispanic residents at 78%, compared to 0% in Waterproof.
- The percentage of residents identifying as two or more races is higher in Santa ana at 13%, compared to 2% in Waterproof.
- In Santa ana, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterproof.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterproof | Santa ana |
|---|---|---|
| Mental Health Not Good | 24.5% | 16.4% |
| Physical Health Not Good | 20.0% | 13.8% |
| Depression | 25.1% | 17.2% |
| Smoking | 33.7% | 13.4% |
| Binge Drinking | 11.8% | 14.6% |
| Obesity | 53.1% | 31.6% |
| Disability Percentage | 22.0% | 8.0% |
Health Statistics Comparison: Waterproof vs Santa ana
- More residents in Waterproof report poor mental health at 24.5% compared to 16.4% in Santa ana.
- Depression is more prevalent in Waterproof at 25.1% compared to 17.2% in Santa ana.
- Smoking is more prevalent in Waterproof at 33.7% compared to 13.4% in Santa ana.
- More residents engage in binge drinking in Santa ana at 14.6% compared to 11.8% in Waterproof.
- Obesity rates are higher in Waterproof at 53.1% compared to 31.6% in Santa ana.
- Disability percentages are higher in Waterproof at 22.0% compared to 8.0% in Santa ana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterproof | Santa ana |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 5.1% (15,819) |
| High School Diploma | 27.7% (138) | 14.7% (45,332) |
| Less than High School | 10.6% (53) | 42.9% (132,303) |
| Bachelor's Degree and Higher | 12.8% (64) | 11.6% (35,860) |
Education Levels Comparison: Waterproof vs Santa ana
- In Santa ana, a larger percentage of residents lack formal schooling at 5.1% compared to 0.0% in Waterproof.
- A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 14.7% in Santa ana.
- The percentage of residents with less than a high school education is higher in Santa ana at 42.9%, compared to 10.6% in Waterproof.
- A higher percentage of residents in Waterproof hold a bachelor's degree or higher at 12.8% compared to 11.6% in Santa ana.
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.