Demographics details for Encinitas, CA vs Franklin, IN
Population Overview
Compare main population characteristics in Encinitas, CA vs Franklin, IN.
| Data | Encinitas | Franklin |
|---|---|---|
| Population | 61,369 | 25,728 |
| Median Age | 42.9 years | 34.4 years |
| Median Income | $142,506 | $72,344 |
| Married Families | 46.0% | 38.0% |
| Poverty Level | 6% | 9% |
| Unemployment Rate | 3.7 | 4.1 |
Population Comparison: Encinitas vs Franklin
- In Encinitas, the population is higher at 61,369, compared to 25,728 in Franklin.
- Residents in Encinitas have a higher median age of 42.9 years compared to 34.4 years in Franklin.
- Encinitas has a higher median income of $142,506 compared to $72,344 in Franklin.
- A higher percentage of married families is found in Encinitas at 46.0% compared to 38.0% in Franklin.
- The poverty level is higher in Franklin at 9%, compared to 6% in Encinitas.
- Franklin has a higher unemployment rate at 4.1% compared to 3.7% in Encinitas.
Demographics
Demographics Encinitas vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Encinitas | Franklin |
|---|---|---|
| Black | Data is updating | 4 |
| White | 71 | 87 |
| Asian | 4 | 1 |
| Hispanic | 15 | 3 |
| Two or More Races | 10 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Encinitas vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 0% in Encinitas.
- The percentage of White residents is higher in Franklin at 87% compared to 71% in Encinitas.
- The Asian population is larger in Encinitas at 4% compared to 1% in Franklin.
- The Hispanic community is larger in Encinitas at 15% compared to 3% in Franklin.
- More residents identify as two or more races in Encinitas at 10% compared to 5% in Franklin.
- The percentage of American Indian residents is the same in both Encinitas and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Encinitas | Franklin |
|---|---|---|
| Mental Health Not Good | 14.1% | 17.7% |
| Physical Health Not Good | 8.2% | 11.4% |
| Depression | 17.9% | 28.9% |
| Smoking | 8.1% | 19.2% |
| Binge Drinking | 20.9% | 16.9% |
| Obesity | 21.3% | 41.6% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Encinitas vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 14.1% in Encinitas.
- Higher depression rates are seen in Franklin at 28.9% versus 17.9% in Encinitas.
- Franklin has a higher smoking rate at 19.2% compared to 8.1% in Encinitas.
- Binge drinking is more common in Encinitas at 20.9% compared to 16.9% in Franklin.
- Franklin has higher obesity rates at 41.6% compared to 21.3% in Encinitas.
- There is a higher percentage of disabled individuals in Franklin at 12.0% compared to 8.0% in Encinitas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Encinitas | Franklin |
|---|---|---|
| No Schooling | 0.7% (449) | 0.6% (148) |
| High School Diploma | 5.6% (3,415) | 19.1% (4,910) |
| Less than High School | 6.6% (4,031) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 48.1% (29,492) | 13.4% (3,460) |
Education Levels Comparison: Encinitas vs Franklin
- A higher percentage of residents in Encinitas have no formal schooling at 0.7% compared to 0.6% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 19.1% compared to 5.6% in Encinitas.
- The percentage of residents with less than a high school education is higher in Franklin at 8.9%, compared to 6.6% in Encinitas.
- A higher percentage of residents in Encinitas hold a bachelor's degree or higher at 48.1% compared to 13.4% in Franklin.
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.