Demographics details for Laurel, MT vs Pasadena, MD
Population Overview
Compare main population characteristics in Laurel, MT vs Pasadena, MD.
| Data | Laurel | Pasadena |
|---|---|---|
| Population | 7,203 | 32,161 |
| Median Age | 36.5 years | 35.1 years |
| Median Income | $62,250 | $113,944 |
| Married Families | 37.0% | 43.0% |
| Poverty Level | 7% | 6% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Laurel vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 7,203 in Laurel.
- Residents in Laurel have a higher median age of 36.5 years compared to 35.1 years in Pasadena.
- Pasadena has a higher median income of $113,944, compared to $62,250 in Laurel.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 37.0% in Laurel.
- Laurel has a higher poverty level at 7% compared to 6% in Pasadena.
- Pasadena has a higher unemployment rate at 4.5% compared to 3.5% in Laurel.
Demographics
Demographics Laurel vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Laurel | Pasadena |
|---|---|---|
| Black | Data is updating | 17 |
| White | 83 | 66 |
| Asian | 2 | 4 |
| Hispanic | 7 | 7 |
| Two or More Races | 7 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Laurel vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 17% compared to 0% in Laurel.
- Laurel has a higher percentage of White residents at 83% compared to 66% in Pasadena.
- In Pasadena, the Asian population stands at 4%, greater than 2% in Laurel.
- The percentage of Hispanic residents is the same in both Laurel and Pasadena at 7%.
- More residents identify as two or more races in Laurel at 7% compared to 6% in Pasadena.
- A greater percentage of American Indian residents live in Laurel at 1% compared to 0% in Pasadena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laurel | Pasadena |
|---|---|---|
| Mental Health Not Good | 16.4% | 15.4% |
| Physical Health Not Good | 10.8% | 9.3% |
| Depression | 27.8% | 21.4% |
| Smoking | 15.8% | 13.2% |
| Binge Drinking | 23.8% | 17.8% |
| Obesity | 32.2% | 35.6% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Laurel vs Pasadena
- More residents in Laurel report poor mental health at 16.4% compared to 15.4% in Pasadena.
- Depression is more prevalent in Laurel at 27.8% compared to 21.4% in Pasadena.
- Smoking is more prevalent in Laurel at 15.8% compared to 13.2% in Pasadena.
- Binge drinking is more common in Laurel at 23.8% compared to 17.8% in Pasadena.
- Pasadena has higher obesity rates at 35.6% compared to 32.2% in Laurel.
- Disability percentages are higher in Laurel 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 | Laurel | Pasadena |
|---|---|---|
| No Schooling | 0.2% (14) | 0.6% (191) |
| High School Diploma | 21.7% (1,563) | 17.5% (5,624) |
| Less than High School | 7.7% (556) | 8.8% (2,835) |
| Bachelor's Degree and Higher | 10.8% (780) | 23.8% (7,658) |
Education Levels Comparison: Laurel vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 0.6% compared to 0.2% in Laurel.
- A higher percentage of residents in Laurel hold a high school diploma at 21.7% compared to 17.5% in Pasadena.
- The percentage of residents with less than a high school education is higher in Pasadena at 8.8%, compared to 7.7% in Laurel.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 10.8% in Laurel.
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.