Demographics details for Deerfield beach, FL vs Santa ana, CA
Population Overview
Compare main population characteristics in Deerfield beach, FL vs Santa ana, CA.
| Data | Deerfield beach | Santa ana |
|---|---|---|
| Population | 86,772 | 308,189 |
| Median Age | 43.5 years | 33.4 years |
| Median Income | $53,741 | $84,210 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Deerfield beach vs Santa ana
- The population in Santa ana is higher at 308,189, compared to 86,772 in Deerfield beach.
- Residents in Deerfield beach have a higher median age of 43.5 years compared to 33.4 years in Santa ana.
- Santa ana has a higher median income of $84,210, compared to $53,741 in Deerfield beach.
- The percentage of married families is the same in both Deerfield beach and Santa ana at 35.0%.
- The poverty level is higher in Santa ana at 14%, compared to 12% in Deerfield beach.
- Santa ana has a higher unemployment rate at 4.1% compared to 3.2% in Deerfield beach.
Demographics
Demographics Deerfield beach vs Santa ana provide insight into the diversity of the communities to compare.
| Demographic | Deerfield beach | Santa ana |
|---|---|---|
| Black | 24 | 1 |
| White | 33 | -5 |
| Asian | 2 | 12 |
| Hispanic | 24 | 78 |
| Two or More Races | 17 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Deerfield beach vs Santa ana
- A higher percentage of Black residents are in Deerfield beach at 24% compared to 1% in Santa ana.
- Deerfield beach has a higher percentage of White residents at 33% compared to -5% in Santa ana.
- In Santa ana, the Asian population stands at 12%, greater than 2% in Deerfield beach.
- Santa ana has a higher percentage of Hispanic residents at 78%, compared to 24% in Deerfield beach.
- More residents identify as two or more races in Deerfield beach at 17% compared to 13% in Santa ana.
- In Santa ana, the percentage of American Indian residents is higher at 1%, compared to 0% in Deerfield beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Deerfield beach | Santa ana |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.4% |
| Physical Health Not Good | 11.6% | 13.8% |
| Depression | 18.5% | 17.2% |
| Smoking | 19.8% | 13.4% |
| Binge Drinking | 15.1% | 14.6% |
| Obesity | 30.3% | 31.6% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Deerfield beach vs Santa ana
- More residents in Deerfield beach report poor mental health at 16.6% compared to 16.4% in Santa ana.
- Depression is more prevalent in Deerfield beach at 18.5% compared to 17.2% in Santa ana.
- Smoking is more prevalent in Deerfield beach at 19.8% compared to 13.4% in Santa ana.
- Binge drinking is more common in Deerfield beach at 15.1% compared to 14.6% in Santa ana.
- Santa ana has higher obesity rates at 31.6% compared to 30.3% in Deerfield beach.
- Disability percentages are higher in Deerfield beach at 14.0% 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 | Deerfield beach | Santa ana |
|---|---|---|
| No Schooling | 1.8% (1,563) | 5.1% (15,819) |
| High School Diploma | 18.7% (16,205) | 14.7% (45,332) |
| Less than High School | 18.3% (15,908) | 42.9% (132,303) |
| Bachelor's Degree and Higher | 20.3% (17,606) | 11.6% (35,860) |
Education Levels Comparison: Deerfield beach vs Santa ana
- In Santa ana, a larger percentage of residents lack formal schooling at 5.1% compared to 1.8% in Deerfield beach.
- A higher percentage of residents in Deerfield beach hold a high school diploma at 18.7% 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 18.3% in Deerfield beach.
- A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% 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.