Demographics details for Pasadena, MD vs Montgomery, IL
Population Overview
Compare main population characteristics in Pasadena, MD vs Montgomery, IL.
| Data | Pasadena | Montgomery |
|---|---|---|
| Population | 32,161 | 21,799 |
| Median Age | 35.1 years | 31.7 years |
| Median Income | $113,944 | $105,240 |
| Married Families | 43.0% | 36.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Pasadena vs Montgomery
- In Pasadena, the population is higher at 32,161, compared to 21,799 in Montgomery.
- Residents in Pasadena have a higher median age of 35.1 years compared to 31.7 years in Montgomery.
- Pasadena has a higher median income of $113,944 compared to $105,240 in Montgomery.
- A higher percentage of married families is found in Pasadena at 43.0% compared to 36.0% in Montgomery.
- Pasadena has a higher poverty level at 6% compared to 5% in Montgomery.
- The unemployment rate in Pasadena is higher at 4.5%, compared to 3.5% in Montgomery.
Demographics
Demographics Pasadena vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Montgomery |
|---|---|---|
| Black | 17 | 5 |
| White | 66 | 52 |
| Asian | 4 | 1 |
| Hispanic | 7 | 31 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pasadena vs Montgomery
- A higher percentage of Black residents are in Pasadena at 17% compared to 5% in Montgomery.
- Pasadena has a higher percentage of White residents at 66% compared to 52% in Montgomery.
- The Asian population is larger in Pasadena at 4% compared to 1% in Montgomery.
- Montgomery has a higher percentage of Hispanic residents at 31%, compared to 7% in Pasadena.
- The percentage of residents identifying as two or more races is higher in Montgomery at 11%, compared to 6% in Pasadena.
- The percentage of American Indian residents is the same in both Pasadena and Montgomery at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Montgomery |
|---|---|---|
| Mental Health Not Good | 15.4% | 14.6% |
| Physical Health Not Good | 9.3% | 10.3% |
| Depression | 21.4% | 18.8% |
| Smoking | 13.2% | 14.1% |
| Binge Drinking | 17.8% | 17.3% |
| Obesity | 35.6% | 34.4% |
| Disability Percentage | 10.0% | 4.0% |
Health Statistics Comparison: Pasadena vs Montgomery
- More residents in Pasadena report poor mental health at 15.4% compared to 14.6% in Montgomery.
- Depression is more prevalent in Pasadena at 21.4% compared to 18.8% in Montgomery.
- Montgomery has a higher smoking rate at 14.1% compared to 13.2% in Pasadena.
- Binge drinking is more common in Pasadena at 17.8% compared to 17.3% in Montgomery.
- Obesity rates are higher in Pasadena at 35.6% compared to 34.4% in Montgomery.
- Disability percentages are higher in Pasadena at 10.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pasadena | Montgomery |
|---|---|---|
| No Schooling | 0.6% (191) | 1.2% (255) |
| High School Diploma | 17.5% (5,624) | 15.6% (3,406) |
| Less than High School | 8.8% (2,835) | 8.2% (1,792) |
| Bachelor's Degree and Higher | 23.8% (7,658) | 15.5% (3,372) |
Education Levels Comparison: Pasadena vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 1.2% compared to 0.6% in Pasadena.
- A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 15.6% in Montgomery.
- More residents in Pasadena have less than a high school education at 8.8% compared to 8.2% in Montgomery.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 23.8% compared to 15.5% in Montgomery.
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.