Demographics details for Pasadena, MD vs Franklin, TX
Population Overview
Compare main population characteristics in Pasadena, MD vs Franklin, TX.
| Data | Pasadena | Franklin |
|---|---|---|
| Population | 32,161 | 10,618 |
| Median Age | 35.1 years | 42.9 years |
| Median Income | $113,944 | $67,915 |
| Married Families | 43.0% | 42.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 4.5 | 4.6 |
Population Comparison: Pasadena vs Franklin
- In Pasadena, the population is higher at 32,161, compared to 10,618 in Franklin.
- The median age in Franklin is higher at 42.9 years, compared to 35.1 years in Pasadena.
- Pasadena has a higher median income of $113,944 compared to $67,915 in Franklin.
- A higher percentage of married families is found in Pasadena at 43.0% compared to 42.0% in Franklin.
- The poverty level is higher in Franklin at 12%, compared to 6% in Pasadena.
- Franklin has a higher unemployment rate at 4.6% compared to 4.5% in Pasadena.
Demographics
Demographics Pasadena vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Franklin |
|---|---|---|
| Black | 17 | 4 |
| White | 66 | 69 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | 15 |
| Two or More Races | 6 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pasadena vs Franklin
- A higher percentage of Black residents are in Pasadena at 17% compared to 4% in Franklin.
- The percentage of White residents is higher in Franklin at 69% compared to 66% in Pasadena.
- The Asian population is larger in Pasadena at 4% compared to 0% in Franklin.
- Franklin has a higher percentage of Hispanic residents at 15%, compared to 7% in Pasadena.
- The percentage of residents identifying as two or more races is higher in Franklin at 12%, compared to 6% in Pasadena.
- The percentage of American Indian residents is the same in both Pasadena and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Franklin |
|---|---|---|
| Mental Health Not Good | 15.4% | 16.3% |
| Physical Health Not Good | 9.3% | 10.3% |
| Depression | 21.4% | 23.5% |
| Smoking | 13.2% | 14.8% |
| Binge Drinking | 17.8% | 19.8% |
| Obesity | 35.6% | 33.2% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Pasadena vs Franklin
- In Franklin, a higher percentage report poor mental health at 16.3% compared to 15.4% in Pasadena.
- Higher depression rates are seen in Franklin at 23.5% versus 21.4% in Pasadena.
- Franklin has a higher smoking rate at 14.8% compared to 13.2% in Pasadena.
- More residents engage in binge drinking in Franklin at 19.8% compared to 17.8% in Pasadena.
- Obesity rates are higher in Pasadena at 35.6% compared to 33.2% in Franklin.
- There is a higher percentage of disabled individuals in Franklin at 15.0% compared to 10.0% 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 | 0.6% (191) | 0.5% (51) |
| High School Diploma | 17.5% (5,624) | 15.0% (1,588) |
| Less than High School | 8.8% (2,835) | 11.3% (1,197) |
| Bachelor's Degree and Higher | 23.8% (7,658) | 21.2% (2,251) |
Education Levels Comparison: Pasadena vs Franklin
- A higher percentage of residents in Pasadena have no formal schooling at 0.6% compared to 0.5% in Franklin.
- A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 15.0% in Franklin.
- The percentage of residents with less than a high school education is higher in Franklin at 11.3%, compared to 8.8% in Pasadena.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 23.8% compared to 21.2% 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.