Demographics details for Pasadena, MD vs Bedford, TX
Population Overview
Compare main population characteristics in Pasadena, MD vs Bedford, TX.
| Data | Pasadena | Bedford |
|---|---|---|
| Population | 32,161 | 48,724 |
| Median Age | 35.1 years | 38.3 years |
| Median Income | $113,944 | $80,924 |
| Married Families | 43.0% | 40.0% |
| Poverty Level | 6% | 7% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Pasadena vs Bedford
- The population in Bedford is higher at 48,724, compared to 32,161 in Pasadena.
- The median age in Bedford is higher at 38.3 years, compared to 35.1 years in Pasadena.
- Pasadena has a higher median income of $113,944 compared to $80,924 in Bedford.
- A higher percentage of married families is found in Pasadena at 43.0% compared to 40.0% in Bedford.
- The poverty level is higher in Bedford at 7%, compared to 6% in Pasadena.
- The unemployment rate in Pasadena is higher at 4.5%, compared to 4.0% in Bedford.
Demographics
Demographics Pasadena vs Bedford provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Bedford |
|---|---|---|
| Black | 17 | 12 |
| White | 66 | 53 |
| Asian | 4 | 6 |
| Hispanic | 7 | 18 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pasadena vs Bedford
- A higher percentage of Black residents are in Pasadena at 17% compared to 12% in Bedford.
- Pasadena has a higher percentage of White residents at 66% compared to 53% in Bedford.
- In Bedford, the Asian population stands at 6%, greater than 4% in Pasadena.
- Bedford has a higher percentage of Hispanic residents at 18%, compared to 7% in Pasadena.
- The percentage of residents identifying as two or more races is higher in Bedford at 11%, compared to 6% in Pasadena.
- The percentage of American Indian residents is the same in both Pasadena and Bedford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Bedford |
|---|---|---|
| Mental Health Not Good | 15.4% | 15.4% |
| Physical Health Not Good | 9.3% | 9.6% |
| Depression | 21.4% | 22.9% |
| Smoking | 13.2% | 12.8% |
| Binge Drinking | 17.8% | 18.5% |
| Obesity | 35.6% | 31.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Pasadena vs Bedford
- Poor mental health levels are equal in both Pasadena and Bedford at 15.4%.
- Higher depression rates are seen in Bedford at 22.9% versus 21.4% in Pasadena.
- Smoking is more prevalent in Pasadena at 13.2% compared to 12.8% in Bedford.
- More residents engage in binge drinking in Bedford at 18.5% compared to 17.8% in Pasadena.
- Obesity rates are higher in Pasadena at 35.6% compared to 31.5% in Bedford.
- There is a higher percentage of disabled individuals in Bedford at 11.0% 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 | Bedford |
|---|---|---|
| No Schooling | 0.6% (191) | 0.6% (290) |
| High School Diploma | 17.5% (5,624) | 10.6% (5,168) |
| Less than High School | 8.8% (2,835) | 7.0% (3,432) |
| Bachelor's Degree and Higher | 23.8% (7,658) | 28.4% (13,831) |
Education Levels Comparison: Pasadena vs Bedford
- The percentage of residents with no formal schooling is the same in both Pasadena and Bedford at 0.6%.
- A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 10.6% in Bedford.
- More residents in Pasadena have less than a high school education at 8.8% compared to 7.0% in Bedford.
- In Bedford, a larger share of residents have a bachelor's degree or higher at 28.4% compared to 23.8% 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.