Demographics details for Maryville, MO vs Pasadena, MD
Population Overview
Compare main population characteristics in Maryville, MO vs Pasadena, MD.
| Data | Maryville | Pasadena |
|---|---|---|
| Population | 10,461 | 32,161 |
| Median Age | 25.0 years | 35.1 years |
| Median Income | $49,144 | $113,944 |
| Married Families | 28.0% | 43.0% |
| Poverty Level | 15% | 6% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Maryville vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 10,461 in Maryville.
- The median age in Pasadena is higher at 35.1 years, compared to 25.0 years in Maryville.
- Pasadena has a higher median income of $113,944, compared to $49,144 in Maryville.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 28.0% in Maryville.
- Maryville has a higher poverty level at 15% compared to 6% in Pasadena.
- Pasadena has a higher unemployment rate at 4.5% compared to 3.5% in Maryville.
Demographics
Demographics Maryville vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Maryville | Pasadena |
|---|---|---|
| Black | 4 | 17 |
| White | 89 | 66 |
| Asian | 2 | 4 |
| Hispanic | 3 | 7 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maryville vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 17% compared to 4% in Maryville.
- Maryville has a higher percentage of White residents at 89% compared to 66% in Pasadena.
- In Pasadena, the Asian population stands at 4%, greater than 2% in Maryville.
- Pasadena has a higher percentage of Hispanic residents at 7%, compared to 3% in Maryville.
- The percentage of residents identifying as two or more races is higher in Pasadena at 6%, compared to 2% in Maryville.
- The percentage of American Indian residents is the same in both Maryville and Pasadena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maryville | Pasadena |
|---|---|---|
| Mental Health Not Good | 18.1% | 15.4% |
| Physical Health Not Good | 13.2% | 9.3% |
| Depression | 23.8% | 21.4% |
| Smoking | 20.1% | 13.2% |
| Binge Drinking | 17.9% | 17.8% |
| Obesity | 40.4% | 35.6% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Maryville vs Pasadena
- More residents in Maryville report poor mental health at 18.1% compared to 15.4% in Pasadena.
- Depression is more prevalent in Maryville at 23.8% compared to 21.4% in Pasadena.
- Smoking is more prevalent in Maryville at 20.1% compared to 13.2% in Pasadena.
- Binge drinking is more common in Maryville at 17.9% compared to 17.8% in Pasadena.
- Obesity rates are higher in Maryville at 40.4% compared to 35.6% in Pasadena.
- Disability percentages are higher in Maryville at 11.0% 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 | Maryville | Pasadena |
|---|---|---|
| No Schooling | 0.1% (15) | 0.6% (191) |
| High School Diploma | 14.1% (1,471) | 17.5% (5,624) |
| Less than High School | 5.0% (522) | 8.8% (2,835) |
| Bachelor's Degree and Higher | 16.7% (1,743) | 23.8% (7,658) |
Education Levels Comparison: Maryville vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 0.6% compared to 0.1% in Maryville.
- In Pasadena, the rate of residents with high school diplomas is higher at 17.5% compared to 14.1% in Maryville.
- The percentage of residents with less than a high school education is higher in Pasadena at 8.8%, compared to 5.0% in Maryville.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 16.7% in Maryville.
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.