Demographics details for La crescent, MN vs Pasadena, CA
Population Overview
Compare main population characteristics in La crescent, MN vs Pasadena, CA.
| Data | La crescent | Pasadena |
|---|---|---|
| Population | 5,344 | 134,211 |
| Median Age | 42.8 years | 39.9 years |
| Median Income | $70,813 | $97,818 |
| Married Families | 44.0% | 37.0% |
| Poverty Level | 8% | 14% |
| Unemployment Rate | 2.5 | 5.3 |
Population Comparison: La crescent vs Pasadena
- The population in Pasadena is higher at 134,211, compared to 5,344 in La crescent.
- Residents in La crescent have a higher median age of 42.8 years compared to 39.9 years in Pasadena.
- Pasadena has a higher median income of $97,818, compared to $70,813 in La crescent.
- A higher percentage of married families is found in La crescent at 44.0% compared to 37.0% in Pasadena.
- The poverty level is higher in Pasadena at 14%, compared to 8% in La crescent.
- Pasadena has a higher unemployment rate at 5.3% compared to 2.5% in La crescent.
Demographics
Demographics La crescent vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | La crescent | Pasadena |
|---|---|---|
| Black | Data is updating | 8 |
| White | 92 | 24 |
| Asian | Data is updating | 18 |
| Hispanic | 1 | 36 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: La crescent vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 8% compared to 0% in La crescent.
- La crescent has a higher percentage of White residents at 92% compared to 24% in Pasadena.
- In Pasadena, the Asian population stands at 18%, greater than 0% in La crescent.
- Pasadena has a higher percentage of Hispanic residents at 36%, compared to 1% in La crescent.
- The percentage of residents identifying as two or more races is higher in Pasadena at 13%, compared to 7% in La crescent.
- In Pasadena, the percentage of American Indian residents is higher at 1%, compared to 0% in La crescent.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La crescent | Pasadena |
|---|---|---|
| Mental Health Not Good | 13.5% | 14.2% |
| Physical Health Not Good | 7.9% | 9.7% |
| Depression | 22.2% | 15.4% |
| Smoking | 13.9% | 9.3% |
| Binge Drinking | 21.1% | 15.4% |
| Obesity | 33.2% | 26.6% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: La crescent vs Pasadena
- In Pasadena, a higher percentage report poor mental health at 14.2% compared to 13.5% in La crescent.
- Depression is more prevalent in La crescent at 22.2% compared to 15.4% in Pasadena.
- Smoking is more prevalent in La crescent at 13.9% compared to 9.3% in Pasadena.
- Binge drinking is more common in La crescent at 21.1% compared to 15.4% in Pasadena.
- Obesity rates are higher in La crescent at 33.2% compared to 26.6% in Pasadena.
- Disability percentages are higher in La crescent at 15.0% compared to 9.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | La crescent | Pasadena |
|---|---|---|
| No Schooling | 0.2% (10) | 1.8% (2,430) |
| High School Diploma | 17.2% (919) | 9.9% (13,275) |
| Less than High School | 6.4% (344) | 15.0% (20,140) |
| Bachelor's Degree and Higher | 25.1% (1,343) | 42.2% (56,583) |
Education Levels Comparison: La crescent vs Pasadena
- In Pasadena, a larger percentage of residents lack formal schooling at 1.8% compared to 0.2% in La crescent.
- A higher percentage of residents in La crescent hold a high school diploma at 17.2% compared to 9.9% in Pasadena.
- The percentage of residents with less than a high school education is higher in Pasadena at 15.0%, compared to 6.4% in La crescent.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 42.2% compared to 25.1% in La crescent.
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.