Demographics details for Washington, MO vs Pasadena, MD
Population Overview
Compare main population characteristics in Washington, MO vs Pasadena, MD.
| Data | Washington | Pasadena |
|---|---|---|
| Population | 15,075 | 32,161 |
| Median Age | 40.9 years | 35.1 years |
| Median Income | $75,127 | $113,944 |
| Married Families | 41.0% | 43.0% |
| Poverty Level | 8% | 6% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Washington vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 15,075 in Washington.
- Residents in Washington have a higher median age of 40.9 years compared to 35.1 years in Pasadena.
- Pasadena has a higher median income of $113,944, compared to $75,127 in Washington.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 41.0% in Washington.
- Washington has a higher poverty level at 8% compared to 6% in Pasadena.
- Pasadena has a higher unemployment rate at 4.5% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Washington | Pasadena |
|---|---|---|
| Black | Data is updating | 17 |
| White | 91 | 66 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 7 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 17% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 91% compared to 66% in Pasadena.
- In Pasadena, the Asian population stands at 4%, greater than 0% in Washington.
- Pasadena has a higher percentage of Hispanic residents at 7%, compared to 2% in Washington.
- More residents identify as two or more races in Washington at 7% compared to 6% in Pasadena.
- The percentage of American Indian residents is the same in both Washington and Pasadena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Pasadena |
|---|---|---|
| Mental Health Not Good | 16.8% | 15.4% |
| Physical Health Not Good | 11.0% | 9.3% |
| Depression | 24.6% | 21.4% |
| Smoking | 18.3% | 13.2% |
| Binge Drinking | 19.8% | 17.8% |
| Obesity | 36.6% | 35.6% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Washington vs Pasadena
- More residents in Washington report poor mental health at 16.8% compared to 15.4% in Pasadena.
- Depression is more prevalent in Washington at 24.6% compared to 21.4% in Pasadena.
- Smoking is more prevalent in Washington at 18.3% compared to 13.2% in Pasadena.
- Binge drinking is more common in Washington at 19.8% compared to 17.8% in Pasadena.
- Obesity rates are higher in Washington at 36.6% compared to 35.6% in Pasadena.
- Disability percentages are higher in Washington at 14.0% 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 | Washington | Pasadena |
|---|---|---|
| No Schooling | 0.3% (41) | 0.6% (191) |
| High School Diploma | 15.0% (2,260) | 17.5% (5,624) |
| Less than High School | 8.7% (1,311) | 8.8% (2,835) |
| Bachelor's Degree and Higher | 18.8% (2,838) | 23.8% (7,658) |
Education Levels Comparison: Washington vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Washington.
- In Pasadena, the rate of residents with high school diplomas is higher at 17.5% compared to 15.0% in Washington.
- The percentage of residents with less than a high school education is higher in Pasadena at 8.8%, compared to 8.7% in Washington.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 18.8% in Washington.
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.