Demographics details for Santa monica, CA vs Franklin, IN
Population Overview
Compare main population characteristics in Santa monica, CA vs Franklin, IN.
| Data | Santa monica | Franklin |
|---|---|---|
| Population | 89,947 | 25,728 |
| Median Age | 42.1 years | 34.4 years |
| Median Income | $106,797 | $72,344 |
| Married Families | 35.0% | 38.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 5.8 | 4.1 |
Population Comparison: Santa monica vs Franklin
- In Santa monica, the population is higher at 89,947, compared to 25,728 in Franklin.
- Residents in Santa monica have a higher median age of 42.1 years compared to 34.4 years in Franklin.
- Santa monica has a higher median income of $106,797 compared to $72,344 in Franklin.
- In Franklin, the percentage of married families is higher at 38.0%, compared to 35.0% in Santa monica.
- Santa monica has a higher poverty level at 11% compared to 9% in Franklin.
- The unemployment rate in Santa monica is higher at 5.8%, compared to 4.1% in Franklin.
Demographics
Demographics Santa monica vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Santa monica | Franklin |
|---|---|---|
| Black | 5 | 4 |
| White | 55 | 87 |
| Asian | 9 | 1 |
| Hispanic | 18 | 3 |
| Two or More Races | 12 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa monica vs Franklin
- A higher percentage of Black residents are in Santa monica at 5% compared to 4% in Franklin.
- The percentage of White residents is higher in Franklin at 87% compared to 55% in Santa monica.
- The Asian population is larger in Santa monica at 9% compared to 1% in Franklin.
- The Hispanic community is larger in Santa monica at 18% compared to 3% in Franklin.
- More residents identify as two or more races in Santa monica at 12% compared to 5% in Franklin.
- A greater percentage of American Indian residents live in Santa monica at 1% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa monica | Franklin |
|---|---|---|
| Mental Health Not Good | 13.5% | 17.7% |
| Physical Health Not Good | 8.1% | 11.4% |
| Depression | 16.6% | 28.9% |
| Smoking | 7.5% | 19.2% |
| Binge Drinking | 17.2% | 16.9% |
| Obesity | 24.1% | 41.6% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Santa monica vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 13.5% in Santa monica.
- Higher depression rates are seen in Franklin at 28.9% versus 16.6% in Santa monica.
- Franklin has a higher smoking rate at 19.2% compared to 7.5% in Santa monica.
- Binge drinking is more common in Santa monica at 17.2% compared to 16.9% in Franklin.
- Franklin has higher obesity rates at 41.6% compared to 24.1% in Santa monica.
- There is a higher percentage of disabled individuals in Franklin at 12.0% compared to 9.0% in Santa monica.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa monica | Franklin |
|---|---|---|
| No Schooling | 1.1% (950) | 0.6% (148) |
| High School Diploma | 6.2% (5,554) | 19.1% (4,910) |
| Less than High School | 7.9% (7,118) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 55.4% (49,805) | 13.4% (3,460) |
Education Levels Comparison: Santa monica vs Franklin
- A higher percentage of residents in Santa monica have no formal schooling at 1.1% compared to 0.6% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 19.1% compared to 6.2% in Santa monica.
- The percentage of residents with less than a high school education is higher in Franklin at 8.9%, compared to 7.9% in Santa monica.
- A higher percentage of residents in Santa monica hold a bachelor's degree or higher at 55.4% 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.