Demographics details for La crescent, MN vs Pierre, SD
Population Overview
Compare main population characteristics in La crescent, MN vs Pierre, SD.
| Data | La crescent | Pierre |
|---|---|---|
| Population | 5,344 | 13,969 |
| Median Age | 42.8 years | 39.6 years |
| Median Income | $70,813 | $80,473 |
| Married Families | 44.0% | 38.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 2.5 | 2.6 |
Population Comparison: La crescent vs Pierre
- The population in Pierre is higher at 13,969, compared to 5,344 in La crescent.
- Residents in La crescent have a higher median age of 42.8 years compared to 39.6 years in Pierre.
- Pierre has a higher median income of $80,473, compared to $70,813 in La crescent.
- A higher percentage of married families is found in La crescent at 44.0% compared to 38.0% in Pierre.
- The poverty level is higher in Pierre at 10%, compared to 8% in La crescent.
- Pierre has a higher unemployment rate at 2.6% compared to 2.5% in La crescent.
Demographics
Demographics La crescent vs Pierre provide insight into the diversity of the communities to compare.
| Demographic | La crescent | Pierre |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 92 | 79 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 4 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | 10 |
Demographics Comparison: La crescent vs Pierre
- The percentage of Black residents is the same in both La crescent and Pierre at 0%.
- La crescent has a higher percentage of White residents at 92% compared to 79% in Pierre.
- In Pierre, the Asian population stands at 1%, greater than 0% in La crescent.
- Pierre has a higher percentage of Hispanic residents at 4%, compared to 1% in La crescent.
- More residents identify as two or more races in La crescent at 7% compared to 6% in Pierre.
- In Pierre, the percentage of American Indian residents is higher at 10%, compared to 0% in La crescent.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La crescent | Pierre |
|---|---|---|
| Mental Health Not Good | 13.5% | 13.5% |
| Physical Health Not Good | 7.9% | 9.2% |
| Depression | 22.2% | 17.5% |
| Smoking | 13.9% | 16.6% |
| Binge Drinking | 21.1% | 19.7% |
| Obesity | 33.2% | 36.2% |
| Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: La crescent vs Pierre
- Poor mental health levels are equal in both La crescent and Pierre at 13.5%.
- Depression is more prevalent in La crescent at 22.2% compared to 17.5% in Pierre.
- Pierre has a higher smoking rate at 16.6% compared to 13.9% in La crescent.
- Binge drinking is more common in La crescent at 21.1% compared to 19.7% in Pierre.
- Pierre has higher obesity rates at 36.2% compared to 33.2% in La crescent.
- Disability percentages are higher in La crescent at 15.0% compared to 13.0% in Pierre.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | La crescent | Pierre |
|---|---|---|
| No Schooling | 0.2% (10) | 0.2% (23) |
| High School Diploma | 17.2% (919) | 15.8% (2,201) |
| Less than High School | 6.4% (344) | 3.5% (495) |
| Bachelor's Degree and Higher | 25.1% (1,343) | 24.2% (3,384) |
Education Levels Comparison: La crescent vs Pierre
- The percentage of residents with no formal schooling is the same in both La crescent and Pierre at 0.2%.
- A higher percentage of residents in La crescent hold a high school diploma at 17.2% compared to 15.8% in Pierre.
- More residents in La crescent have less than a high school education at 6.4% compared to 3.5% in Pierre.
- A higher percentage of residents in La crescent hold a bachelor's degree or higher at 25.1% compared to 24.2% in Pierre.
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.