Demographics details for Winona, MN vs Pleasant grove, UT
Population Overview
Compare main population characteristics in Winona, MN vs Pleasant grove, UT.
| Data | Winona | Pleasant grove |
|---|---|---|
| Population | 25,842 | 37,630 |
| Median Age | 30.7 years | 27.6 years |
| Median Income | $52,500 | $91,322 |
| Married Families | 28.0% | 45.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 3.6 | 3.6 |
Population Comparison: Winona vs Pleasant grove
- The population in Pleasant grove is higher at 37,630, compared to 25,842 in Winona.
- Residents in Winona have a higher median age of 30.7 years compared to 27.6 years in Pleasant grove.
- Pleasant grove has a higher median income of $91,322, compared to $52,500 in Winona.
- In Pleasant grove, the percentage of married families is higher at 45.0%, compared to 28.0% in Winona.
- Winona has a higher poverty level at 12% compared to 7% in Pleasant grove.
- The unemployment rate is the same in both Winona and Pleasant grove at 3.6%.
Demographics
Demographics Winona vs Pleasant grove provide insight into the diversity of the communities to compare.
| Demographic | Winona | Pleasant grove |
|---|---|---|
| Black | 2 | Data is updating |
| White | 88 | 81 |
| Asian | 2 | 2 |
| Hispanic | 4 | 10 |
| Two or More Races | 3 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Winona vs Pleasant grove
- A higher percentage of Black residents are in Winona at 2% compared to 0% in Pleasant grove.
- Winona has a higher percentage of White residents at 88% compared to 81% in Pleasant grove.
- Both Winona and Pleasant grove have the same percentage of Asian residents at 2%.
- Pleasant grove has a higher percentage of Hispanic residents at 10%, compared to 4% in Winona.
- The percentage of residents identifying as two or more races is higher in Pleasant grove at 7%, compared to 3% in Winona.
- A greater percentage of American Indian residents live in Winona at 1% compared to 0% in Pleasant grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Pleasant grove |
|---|---|---|
| Mental Health Not Good | 16.1% | 14.8% |
| Physical Health Not Good | 10.1% | 10.3% |
| Depression | 24.4% | 23.9% |
| Smoking | 18.5% | 7.2% |
| Binge Drinking | 19.8% | 8.3% |
| Obesity | 40.0% | 30.6% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Winona vs Pleasant grove
- More residents in Winona report poor mental health at 16.1% compared to 14.8% in Pleasant grove.
- Depression is more prevalent in Winona at 24.4% compared to 23.9% in Pleasant grove.
- Smoking is more prevalent in Winona at 18.5% compared to 7.2% in Pleasant grove.
- Binge drinking is more common in Winona at 19.8% compared to 8.3% in Pleasant grove.
- Obesity rates are higher in Winona at 40.0% compared to 30.6% in Pleasant grove.
- Disability percentages are higher in Winona at 10.0% compared to 9.0% in Pleasant grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Pleasant grove |
|---|---|---|
| No Schooling | 0.6% (144) | 0.6% (207) |
| High School Diploma | 14.2% (3,665) | 8.2% (3,089) |
| Less than High School | 7.1% (1,840) | 4.9% (1,844) |
| Bachelor's Degree and Higher | 19.8% (5,111) | 22.1% (8,335) |
Education Levels Comparison: Winona vs Pleasant grove
- The percentage of residents with no formal schooling is the same in both Winona and Pleasant grove at 0.6%.
- A higher percentage of residents in Winona hold a high school diploma at 14.2% compared to 8.2% in Pleasant grove.
- More residents in Winona have less than a high school education at 7.1% compared to 4.9% in Pleasant grove.
- In Pleasant grove, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 19.8% in Winona.
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.