Demographics details for Pasadena, CA vs Franklin, IN
Population Overview
Compare main population characteristics in Pasadena, CA vs Franklin, IN.
| Data | Pasadena | Franklin |
|---|---|---|
| Population | 134,211 | 25,728 |
| Median Age | 39.9 years | 34.4 years |
| Median Income | $97,818 | $72,344 |
| Married Families | 37.0% | 38.0% |
| Poverty Level | 14% | 9% |
| Unemployment Rate | 5.3 | 4.1 |
Population Comparison: Pasadena vs Franklin
- In Pasadena, the population is higher at 134,211, compared to 25,728 in Franklin.
- Residents in Pasadena have a higher median age of 39.9 years compared to 34.4 years in Franklin.
- Pasadena has a higher median income of $97,818 compared to $72,344 in Franklin.
- In Franklin, the percentage of married families is higher at 38.0%, compared to 37.0% in Pasadena.
- Pasadena has a higher poverty level at 14% compared to 9% in Franklin.
- The unemployment rate in Pasadena is higher at 5.3%, compared to 4.1% in Franklin.
Demographics
Demographics Pasadena vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Franklin |
|---|---|---|
| Black | 8 | 4 |
| White | 24 | 87 |
| Asian | 18 | 1 |
| Hispanic | 36 | 3 |
| Two or More Races | 13 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pasadena vs Franklin
- A higher percentage of Black residents are in Pasadena at 8% compared to 4% in Franklin.
- The percentage of White residents is higher in Franklin at 87% compared to 24% in Pasadena.
- The Asian population is larger in Pasadena at 18% compared to 1% in Franklin.
- The Hispanic community is larger in Pasadena at 36% compared to 3% in Franklin.
- More residents identify as two or more races in Pasadena at 13% compared to 5% in Franklin.
- A greater percentage of American Indian residents live in Pasadena at 1% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Franklin |
|---|---|---|
| Mental Health Not Good | 14.2% | 17.7% |
| Physical Health Not Good | 9.7% | 11.4% |
| Depression | 15.4% | 28.9% |
| Smoking | 9.3% | 19.2% |
| Binge Drinking | 15.4% | 16.9% |
| Obesity | 26.6% | 41.6% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Pasadena vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 14.2% in Pasadena.
- Higher depression rates are seen in Franklin at 28.9% versus 15.4% in Pasadena.
- Franklin has a higher smoking rate at 19.2% compared to 9.3% in Pasadena.
- More residents engage in binge drinking in Franklin at 16.9% compared to 15.4% in Pasadena.
- Franklin has higher obesity rates at 41.6% compared to 26.6% in Pasadena.
- There is a higher percentage of disabled individuals in Franklin at 12.0% compared to 9.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pasadena | Franklin |
|---|---|---|
| No Schooling | 1.8% (2,430) | 0.6% (148) |
| High School Diploma | 9.9% (13,275) | 19.1% (4,910) |
| Less than High School | 15.0% (20,140) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 42.2% (56,583) | 13.4% (3,460) |
Education Levels Comparison: Pasadena vs Franklin
- A higher percentage of residents in Pasadena have no formal schooling at 1.8% compared to 0.6% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 19.1% compared to 9.9% in Pasadena.
- More residents in Pasadena have less than a high school education at 15.0% compared to 8.9% in Franklin.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 42.2% 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.