Demographics details for Pasadena, TX vs Severna park, MD
Population Overview
Compare main population characteristics in Pasadena, TX vs Severna park, MD.
| Data | Pasadena | Severna park |
|---|---|---|
| Population | 147,662 | 40,452 |
| Median Age | 32.6 years | 41.5 years |
| Median Income | $64,698 | $164,288 |
| Married Families | 37.0% | 48.0% |
| Poverty Level | 12% | 3% |
| Unemployment Rate | 5.9 | 3.2 |
Population Comparison: Pasadena vs Severna park
- In Pasadena, the population is higher at 147,662, compared to 40,452 in Severna park.
- The median age in Severna park is higher at 41.5 years, compared to 32.6 years in Pasadena.
- Severna park has a higher median income of $164,288, compared to $64,698 in Pasadena.
- In Severna park, the percentage of married families is higher at 48.0%, compared to 37.0% in Pasadena.
- Pasadena has a higher poverty level at 12% compared to 3% in Severna park.
- The unemployment rate in Pasadena is higher at 5.9%, compared to 3.2% in Severna park.
Demographics
Demographics Pasadena vs Severna park provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Severna park |
|---|---|---|
| Black | 3 | 3 |
| White | -1 | 86 |
| Asian | 2 | 3 |
| Hispanic | 72 | 3 |
| Two or More Races | 23 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pasadena vs Severna park
- The percentage of Black residents is the same in both Pasadena and Severna park at 3%.
- The percentage of White residents is higher in Severna park at 86% compared to -1% in Pasadena.
- In Severna park, the Asian population stands at 3%, greater than 2% in Pasadena.
- The Hispanic community is larger in Pasadena at 72% compared to 3% in Severna park.
- More residents identify as two or more races in Pasadena at 23% compared to 5% in Severna park.
- A greater percentage of American Indian residents live in Pasadena at 1% compared to 0% in Severna park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Severna park |
|---|---|---|
| Mental Health Not Good | 17.6% | 13.1% |
| Physical Health Not Good | 13.3% | 7.3% |
| Depression | 21.7% | 19.9% |
| Smoking | 18.0% | 9.0% |
| Binge Drinking | 18.1% | 18.4% |
| Obesity | 37.9% | 31.9% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Pasadena vs Severna park
- More residents in Pasadena report poor mental health at 17.6% compared to 13.1% in Severna park.
- Depression is more prevalent in Pasadena at 21.7% compared to 19.9% in Severna park.
- Smoking is more prevalent in Pasadena at 18.0% compared to 9.0% in Severna park.
- More residents engage in binge drinking in Severna park at 18.4% compared to 18.1% in Pasadena.
- Obesity rates are higher in Pasadena at 37.9% compared to 31.9% in Severna park.
- Disability percentages are higher in Pasadena at 11.0% compared to 8.0% in Severna park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pasadena | Severna park |
|---|---|---|
| No Schooling | 3.0% (4,357) | 0.4% (145) |
| High School Diploma | 16.2% (23,948) | 10.9% (4,392) |
| Less than High School | 33.1% (48,806) | 4.3% (1,731) |
| Bachelor's Degree and Higher | 9.9% (14,596) | 38.1% (15,411) |
Education Levels Comparison: Pasadena vs Severna park
- A higher percentage of residents in Pasadena have no formal schooling at 3.0% compared to 0.4% in Severna park.
- A higher percentage of residents in Pasadena hold a high school diploma at 16.2% compared to 10.9% in Severna park.
- More residents in Pasadena have less than a high school education at 33.1% compared to 4.3% in Severna park.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 9.9% in Pasadena.
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.