Demographics details for Dacula, GA vs Santa ana, CA
Population Overview
Compare main population characteristics in Dacula, GA vs Santa ana, CA.
| Data | Dacula | Santa ana |
|---|---|---|
| Population | 7,460 | 308,189 |
| Median Age | 35.0 years | 33.4 years |
| Median Income | $81,322 | $84,210 |
| Married Families | 39.0% | 35.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Dacula vs Santa ana
- The population in Santa ana is higher at 308,189, compared to 7,460 in Dacula.
- Residents in Dacula have a higher median age of 35.0 years compared to 33.4 years in Santa ana.
- Santa ana has a higher median income of $84,210, compared to $81,322 in Dacula.
- A higher percentage of married families is found in Dacula at 39.0% compared to 35.0% in Santa ana.
- The poverty level is higher in Santa ana at 14%, compared to 5% in Dacula.
- Santa ana has a higher unemployment rate at 4.1% compared to 3.2% in Dacula.
Demographics
Demographics Dacula vs Santa ana provide insight into the diversity of the communities to compare.
| Demographic | Dacula | Santa ana |
|---|---|---|
| Black | 23 | 1 |
| White | 41 | -5 |
| Asian | 7 | 12 |
| Hispanic | 19 | 78 |
| Two or More Races | 9 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Dacula vs Santa ana
- A higher percentage of Black residents are in Dacula at 23% compared to 1% in Santa ana.
- Dacula has a higher percentage of White residents at 41% compared to -5% in Santa ana.
- In Santa ana, the Asian population stands at 12%, greater than 7% in Dacula.
- Santa ana has a higher percentage of Hispanic residents at 78%, compared to 19% in Dacula.
- The percentage of residents identifying as two or more races is higher in Santa ana at 13%, compared to 9% in Dacula.
- The percentage of American Indian residents is the same in both Dacula and Santa ana at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dacula | Santa ana |
|---|---|---|
| Mental Health Not Good | 14.4% | 16.4% |
| Physical Health Not Good | 9.5% | 13.8% |
| Depression | 19.1% | 17.2% |
| Smoking | 12.9% | 13.4% |
| Binge Drinking | 16.5% | 14.6% |
| Obesity | 29.7% | 31.6% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Dacula vs Santa ana
- In Santa ana, a higher percentage report poor mental health at 16.4% compared to 14.4% in Dacula.
- Depression is more prevalent in Dacula at 19.1% compared to 17.2% in Santa ana.
- Santa ana has a higher smoking rate at 13.4% compared to 12.9% in Dacula.
- Binge drinking is more common in Dacula at 16.5% compared to 14.6% in Santa ana.
- Santa ana has higher obesity rates at 31.6% compared to 29.7% in Dacula.
- Disability percentages are higher in Dacula at 16.0% 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 | Dacula | Santa ana |
|---|---|---|
| No Schooling | 4.8% (355) | 5.1% (15,819) |
| High School Diploma | 8.0% (599) | 14.7% (45,332) |
| Less than High School | 17.0% (1,267) | 42.9% (132,303) |
| Bachelor's Degree and Higher | 13.2% (988) | 11.6% (35,860) |
Education Levels Comparison: Dacula vs Santa ana
- In Santa ana, a larger percentage of residents lack formal schooling at 5.1% compared to 4.8% in Dacula.
- In Santa ana, the rate of residents with high school diplomas is higher at 14.7% compared to 8.0% in Dacula.
- The percentage of residents with less than a high school education is higher in Santa ana at 42.9%, compared to 17.0% in Dacula.
- A higher percentage of residents in Dacula hold a bachelor's degree or higher at 13.2% 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.