Demographics details for Beecher city, IL vs Pasadena, MD
Population Overview
Compare main population characteristics in Beecher city, IL vs Pasadena, MD.
| Data | Beecher city | Pasadena |
|---|---|---|
| Population | 423 | 32,161 |
| Median Age | 36.9 years | 35.1 years |
| Median Income | $39,297 | $113,944 |
| Married Families | 27.0% | 43.0% |
| Poverty Level | 14% | 6% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Beecher city vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 423 in Beecher city.
- Residents in Beecher city have a higher median age of 36.9 years compared to 35.1 years in Pasadena.
- Pasadena has a higher median income of $113,944, compared to $39,297 in Beecher city.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 27.0% in Beecher city.
- Beecher city has a higher poverty level at 14% compared to 6% in Pasadena.
- Pasadena has a higher unemployment rate at 4.5% compared to 3.2% in Beecher city.
Demographics
Demographics Beecher city vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Beecher city | Pasadena |
|---|---|---|
| Black | Data is updating | 17 |
| White | 99 | 66 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 7 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Beecher city vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 17% compared to 0% in Beecher city.
- Beecher city has a higher percentage of White residents at 99% compared to 66% in Pasadena.
- In Pasadena, the Asian population stands at 4%, greater than 0% in Beecher city.
- Pasadena has a higher percentage of Hispanic residents at 7%, compared to 0% in Beecher city.
- The percentage of residents identifying as two or more races is higher in Pasadena at 6%, compared to 1% in Beecher city.
- The percentage of American Indian residents is the same in both Beecher city and Pasadena at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beecher city | Pasadena |
|---|---|---|
| Mental Health Not Good | 15.2% | 15.4% |
| Physical Health Not Good | 9.6% | 9.3% |
| Depression | 21.4% | 21.4% |
| Smoking | 14.8% | 13.2% |
| Binge Drinking | 18.8% | 17.8% |
| Obesity | 34.0% | 35.6% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Beecher city vs Pasadena
- In Pasadena, a higher percentage report poor mental health at 15.4% compared to 15.2% in Beecher city.
- Both cities have comparable depression rates at 21.4%.
- Smoking is more prevalent in Beecher city at 14.8% compared to 13.2% in Pasadena.
- Binge drinking is more common in Beecher city at 18.8% compared to 17.8% in Pasadena.
- Pasadena has higher obesity rates at 35.6% compared to 34.0% in Beecher city.
- Disability percentages are higher in Beecher city at 13.0% 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 | Beecher city | Pasadena |
|---|---|---|
| No Schooling | 0.7% (3) | 0.6% (191) |
| High School Diploma | 23.6% (100) | 17.5% (5,624) |
| Less than High School | 17.5% (74) | 8.8% (2,835) |
| Bachelor's Degree and Higher | 7.1% (30) | 23.8% (7,658) |
Education Levels Comparison: Beecher city vs Pasadena
- A higher percentage of residents in Beecher city have no formal schooling at 0.7% compared to 0.6% in Pasadena.
- A higher percentage of residents in Beecher city hold a high school diploma at 23.6% compared to 17.5% in Pasadena.
- More residents in Beecher city have less than a high school education at 17.5% compared to 8.8% in Pasadena.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 7.1% in Beecher city.
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.