Demographics details for Selma, OR vs Zumbro falls, MN
Population Overview
Compare main population characteristics in Selma, OR vs Zumbro falls, MN.
| Data | Selma | Zumbro falls |
|---|---|---|
| Population | 892 | 155 |
| Median Age | 36.6 years | 36.6 years |
| Median Income | $42,319 | $84,750 |
| Married Families | 54.0% | 46.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Selma vs Zumbro falls
- In Selma, the population is higher at 892, compared to 155 in Zumbro falls.
- The median age is the same in both Selma and Zumbro falls at 36.6 years.
- Zumbro falls has a higher median income of $84,750, compared to $42,319 in Selma.
- A higher percentage of married families is found in Selma at 54.0% compared to 46.0% in Zumbro falls.
- Selma has a higher poverty level at 13% compared to 0% in Zumbro falls.
- The unemployment rate in Selma is higher at 4.5%, compared to 2.5% in Zumbro falls.
Demographics
Demographics Selma vs Zumbro falls provide insight into the diversity of the communities to compare.
| Demographic | Selma | Zumbro falls |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 99 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Selma vs Zumbro falls
- The percentage of Black residents is the same in both Selma and Zumbro falls at 0%.
- The percentage of White residents is higher in Zumbro falls at 99% compared to 95% in Selma.
- Both Selma and Zumbro falls have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Selma at 1% compared to 0% in Zumbro falls.
- More residents identify as two or more races in Selma at 4% compared to 1% in Zumbro falls.
- The percentage of American Indian residents is the same in both Selma and Zumbro falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Selma | Zumbro falls |
|---|---|---|
| Mental Health Not Good | 18.4% | 14.4% |
| Physical Health Not Good | 11.6% | 8.8% |
| Depression | 26.9% | 23.3% |
| Smoking | 17.0% | 17.2% |
| Binge Drinking | 18.4% | 21.7% |
| Obesity | 30.7% | 36.5% |
| Disability Percentage | 28.0% | 5.0% |
Health Statistics Comparison: Selma vs Zumbro falls
- More residents in Selma report poor mental health at 18.4% compared to 14.4% in Zumbro falls.
- Depression is more prevalent in Selma at 26.9% compared to 23.3% in Zumbro falls.
- Zumbro falls has a higher smoking rate at 17.2% compared to 17.0% in Selma.
- More residents engage in binge drinking in Zumbro falls at 21.7% compared to 18.4% in Selma.
- Zumbro falls has higher obesity rates at 36.5% compared to 30.7% in Selma.
- Disability percentages are higher in Selma at 28.0% compared to 5.0% in Zumbro falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Selma | Zumbro falls |
|---|---|---|
| No Schooling | 1.5% (13) | 0.0% (Data is updating) |
| High School Diploma | 15.9% (142) | 17.4% (27) |
| Less than High School | 8.3% (74) | 1.3% (2) |
| Bachelor's Degree and Higher | 1.7% (15) | 21.9% (34) |
Education Levels Comparison: Selma vs Zumbro falls
- A higher percentage of residents in Selma have no formal schooling at 1.5% compared to 0.0% in Zumbro falls.
- In Zumbro falls, the rate of residents with high school diplomas is higher at 17.4% compared to 15.9% in Selma.
- More residents in Selma have less than a high school education at 8.3% compared to 1.3% in Zumbro falls.
- In Zumbro falls, a larger share of residents have a bachelor's degree or higher at 21.9% compared to 1.7% in Selma.
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.