Demographics details for Pasadena, MD vs Pittsburg, KS
Population Overview
Compare main population characteristics in Pasadena, MD vs Pittsburg, KS.
| Data | Pasadena | Pittsburg |
|---|---|---|
| Population | 32,161 | 20,658 |
| Median Age | 35.1 years | 25.7 years |
| Median Income | $113,944 | $42,371 |
| Married Families | 43.0% | 28.0% |
| Poverty Level | 6% | 23% |
| Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Pasadena vs Pittsburg
- In Pasadena, the population is higher at 32,161, compared to 20,658 in Pittsburg.
- Residents in Pasadena have a higher median age of 35.1 years compared to 25.7 years in Pittsburg.
- Pasadena has a higher median income of $113,944 compared to $42,371 in Pittsburg.
- A higher percentage of married families is found in Pasadena at 43.0% compared to 28.0% in Pittsburg.
- The poverty level is higher in Pittsburg at 23%, compared to 6% in Pasadena.
- The unemployment rate in Pasadena is higher at 4.5%, compared to 3.1% in Pittsburg.
Demographics
Demographics Pasadena vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Pittsburg |
|---|---|---|
| Black | 17 | 3 |
| White | 66 | 78 |
| Asian | 4 | 3 |
| Hispanic | 7 | 11 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pasadena vs Pittsburg
- A higher percentage of Black residents are in Pasadena at 17% compared to 3% in Pittsburg.
- The percentage of White residents is higher in Pittsburg at 78% compared to 66% in Pasadena.
- The Asian population is larger in Pasadena at 4% compared to 3% in Pittsburg.
- Pittsburg has a higher percentage of Hispanic residents at 11%, compared to 7% in Pasadena.
- More residents identify as two or more races in Pasadena at 6% compared to 5% in Pittsburg.
- The percentage of American Indian residents is the same in both Pasadena and Pittsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Pittsburg |
|---|---|---|
| Mental Health Not Good | 15.4% | 19.3% |
| Physical Health Not Good | 9.3% | 12.5% |
| Depression | 21.4% | 25.0% |
| Smoking | 13.2% | 23.9% |
| Binge Drinking | 17.8% | 19.7% |
| Obesity | 35.6% | 43.5% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Pasadena vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 19.3% compared to 15.4% in Pasadena.
- Higher depression rates are seen in Pittsburg at 25.0% versus 21.4% in Pasadena.
- Pittsburg has a higher smoking rate at 23.9% compared to 13.2% in Pasadena.
- More residents engage in binge drinking in Pittsburg at 19.7% compared to 17.8% in Pasadena.
- Pittsburg has higher obesity rates at 43.5% compared to 35.6% in Pasadena.
- There is a higher percentage of disabled individuals in Pittsburg at 16.0% 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 | Pittsburg |
|---|---|---|
| No Schooling | 0.6% (191) | 0.7% (150) |
| High School Diploma | 17.5% (5,624) | 13.0% (2,686) |
| Less than High School | 8.8% (2,835) | 5.9% (1,222) |
| Bachelor's Degree and Higher | 23.8% (7,658) | 17.2% (3,562) |
Education Levels Comparison: Pasadena vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Pasadena.
- A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 13.0% in Pittsburg.
- More residents in Pasadena have less than a high school education at 8.8% compared to 5.9% in Pittsburg.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 23.8% compared to 17.2% in Pittsburg.
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.