Demographics details for Addison, AL vs Santa ana, CA
Population Overview
Compare main population characteristics in Addison, AL vs Santa ana, CA.
| Data | Addison | Santa ana |
|---|---|---|
| Population | 669 | 308,189 |
| Median Age | 38.4 years | 33.4 years |
| Median Income | $47,188 | $84,210 |
| Married Families | 46.0% | 35.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Addison vs Santa ana
- The population in Santa ana is higher at 308,189, compared to 669 in Addison.
- Residents in Addison have a higher median age of 38.4 years compared to 33.4 years in Santa ana.
- Santa ana has a higher median income of $84,210, compared to $47,188 in Addison.
- A higher percentage of married families is found in Addison at 46.0% compared to 35.0% in Santa ana.
- The poverty level is higher in Santa ana at 14%, compared to 12% in Addison.
- Santa ana has a higher unemployment rate at 4.1% compared to 3.5% in Addison.
Demographics
Demographics Addison vs Santa ana provide insight into the diversity of the communities to compare.
| Demographic | Addison | Santa ana |
|---|---|---|
| Black | Data is updating | 1 |
| White | 97 | -5 |
| Asian | Data is updating | 12 |
| Hispanic | Data is updating | 78 |
| Two or More Races | 3 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Addison vs Santa ana
- In Santa ana, the percentage of Black residents is higher at 1% compared to 0% in Addison.
- Addison has a higher percentage of White residents at 97% compared to -5% in Santa ana.
- In Santa ana, the Asian population stands at 12%, greater than 0% in Addison.
- Santa ana has a higher percentage of Hispanic residents at 78%, compared to 0% in Addison.
- The percentage of residents identifying as two or more races is higher in Santa ana at 13%, compared to 3% in Addison.
- In Santa ana, the percentage of American Indian residents is higher at 1%, compared to 0% in Addison.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Addison | Santa ana |
|---|---|---|
| Mental Health Not Good | 20.3% | 16.4% |
| Physical Health Not Good | 13.7% | 13.8% |
| Depression | 26.6% | 17.2% |
| Smoking | 21.6% | 13.4% |
| Binge Drinking | 16.1% | 14.6% |
| Obesity | 38.2% | 31.6% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Addison vs Santa ana
- More residents in Addison report poor mental health at 20.3% compared to 16.4% in Santa ana.
- Depression is more prevalent in Addison at 26.6% compared to 17.2% in Santa ana.
- Smoking is more prevalent in Addison at 21.6% compared to 13.4% in Santa ana.
- Binge drinking is more common in Addison at 16.1% compared to 14.6% in Santa ana.
- Obesity rates are higher in Addison at 38.2% compared to 31.6% in Santa ana.
- Disability percentages are higher in Addison at 18.0% 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 | Addison | Santa ana |
|---|---|---|
| No Schooling | 0.6% (4) | 5.1% (15,819) |
| High School Diploma | 23.8% (159) | 14.7% (45,332) |
| Less than High School | 23.9% (160) | 42.9% (132,303) |
| Bachelor's Degree and Higher | 4.9% (33) | 11.6% (35,860) |
Education Levels Comparison: Addison vs Santa ana
- In Santa ana, a larger percentage of residents lack formal schooling at 5.1% compared to 0.6% in Addison.
- A higher percentage of residents in Addison hold a high school diploma at 23.8% 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 23.9% in Addison.
- In Santa ana, a larger share of residents have a bachelor's degree or higher at 11.6% compared to 4.9% in Addison.
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.