Demographics details for La crescent, MN vs Peru, IN
Population Overview
Compare main population characteristics in La crescent, MN vs Peru, IN.
| Data | La crescent | Peru |
|---|---|---|
| Population | 5,344 | 10,828 |
| Median Age | 42.8 years | 41.3 years |
| Median Income | $70,813 | $44,665 |
| Married Families | 44.0% | 34.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: La crescent vs Peru
- The population in Peru is higher at 10,828, compared to 5,344 in La crescent.
- Residents in La crescent have a higher median age of 42.8 years compared to 41.3 years in Peru.
- La crescent has a higher median income of $70,813 compared to $44,665 in Peru.
- A higher percentage of married families is found in La crescent at 44.0% compared to 34.0% in Peru.
- The poverty level is higher in Peru at 15%, compared to 8% in La crescent.
- Peru has a higher unemployment rate at 3.2% compared to 2.5% in La crescent.
Demographics
Demographics La crescent vs Peru provide insight into the diversity of the communities to compare.
| Demographic | La crescent | Peru |
|---|---|---|
| Black | Data is updating | 5 |
| White | 92 | 84 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 4 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: La crescent vs Peru
- In Peru, the percentage of Black residents is higher at 5% compared to 0% in La crescent.
- La crescent has a higher percentage of White residents at 92% compared to 84% in Peru.
- Both La crescent and Peru have the same percentage of Asian residents at 0%.
- Peru has a higher percentage of Hispanic residents at 4%, compared to 1% in La crescent.
- Both La crescent and Peru have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both La crescent and Peru at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La crescent | Peru |
|---|---|---|
| Mental Health Not Good | 13.5% | 20.1% |
| Physical Health Not Good | 7.9% | 14.3% |
| Depression | 22.2% | 28.8% |
| Smoking | 13.9% | 25.7% |
| Binge Drinking | 21.1% | 16.2% |
| Obesity | 33.2% | 39.3% |
| Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: La crescent vs Peru
- In Peru, a higher percentage report poor mental health at 20.1% compared to 13.5% in La crescent.
- Higher depression rates are seen in Peru at 28.8% versus 22.2% in La crescent.
- Peru has a higher smoking rate at 25.7% compared to 13.9% in La crescent.
- Binge drinking is more common in La crescent at 21.1% compared to 16.2% in Peru.
- Peru has higher obesity rates at 39.3% compared to 33.2% in La crescent.
- There is a higher percentage of disabled individuals in Peru at 21.0% compared to 15.0% in La crescent.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | La crescent | Peru |
|---|---|---|
| No Schooling | 0.2% (10) | 1.3% (137) |
| High School Diploma | 17.2% (919) | 24.4% (2,642) |
| Less than High School | 6.4% (344) | 17.5% (1,900) |
| Bachelor's Degree and Higher | 25.1% (1,343) | 10.1% (1,098) |
Education Levels Comparison: La crescent vs Peru
- In Peru, a larger percentage of residents lack formal schooling at 1.3% compared to 0.2% in La crescent.
- In Peru, the rate of residents with high school diplomas is higher at 24.4% compared to 17.2% in La crescent.
- The percentage of residents with less than a high school education is higher in Peru at 17.5%, compared to 6.4% in La crescent.
- A higher percentage of residents in La crescent hold a bachelor's degree or higher at 25.1% compared to 10.1% in Peru.
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.