Demographics details for Keizer, OR vs Fergus falls, MN
Population Overview
Compare main population characteristics in Keizer, OR vs Fergus falls, MN.
| Data | Keizer | Fergus falls |
|---|---|---|
| Population | 38,704 | 14,187 |
| Median Age | 35.8 years | 42.0 years |
| Median Income | $75,753 | $48,738 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.6 | 3.2 |
Population Comparison: Keizer vs Fergus falls
- In Keizer, the population is higher at 38,704, compared to 14,187 in Fergus falls.
- The median age in Fergus falls is higher at 42.0 years, compared to 35.8 years in Keizer.
- Keizer has a higher median income of $75,753 compared to $48,738 in Fergus falls.
- A higher percentage of married families is found in Keizer at 38.0% compared to 35.0% in Fergus falls.
- Keizer has a higher poverty level at 10% compared to 9% in Fergus falls.
- The unemployment rate in Keizer is higher at 3.6%, compared to 3.2% in Fergus falls.
Demographics
Demographics Keizer vs Fergus falls provide insight into the diversity of the communities to compare.
| Demographic | Keizer | Fergus falls |
|---|---|---|
| Black | 1 | 1 |
| White | 58 | 93 |
| Asian | 1 | 1 |
| Hispanic | 25 | 1 |
| Two or More Races | 14 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Keizer vs Fergus falls
- The percentage of Black residents is the same in both Keizer and Fergus falls at 1%.
- The percentage of White residents is higher in Fergus falls at 93% compared to 58% in Keizer.
- Both Keizer and Fergus falls have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Keizer at 25% compared to 1% in Fergus falls.
- More residents identify as two or more races in Keizer at 14% compared to 4% in Fergus falls.
- A greater percentage of American Indian residents live in Keizer at 1% compared to 0% in Fergus falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keizer | Fergus falls |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.6% |
| Physical Health Not Good | 11.4% | 9.8% |
| Depression | 28.5% | 24.4% |
| Smoking | 15.4% | 17.9% |
| Binge Drinking | 16.5% | 19.3% |
| Obesity | 35.7% | 36.8% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Keizer vs Fergus falls
- More residents in Keizer report poor mental health at 17.9% compared to 15.6% in Fergus falls.
- Depression is more prevalent in Keizer at 28.5% compared to 24.4% in Fergus falls.
- Fergus falls has a higher smoking rate at 17.9% compared to 15.4% in Keizer.
- More residents engage in binge drinking in Fergus falls at 19.3% compared to 16.5% in Keizer.
- Fergus falls has higher obesity rates at 36.8% compared to 35.7% in Keizer.
- There is a higher percentage of disabled individuals in Fergus falls at 19.0% compared to 16.0% in Keizer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keizer | Fergus falls |
|---|---|---|
| No Schooling | 1.8% (685) | 0.8% (117) |
| High School Diploma | 12.7% (4,898) | 14.4% (2,039) |
| Less than High School | 13.9% (5,363) | 8.3% (1,171) |
| Bachelor's Degree and Higher | 17.1% (6,617) | 18.7% (2,656) |
Education Levels Comparison: Keizer vs Fergus falls
- A higher percentage of residents in Keizer have no formal schooling at 1.8% compared to 0.8% in Fergus falls.
- In Fergus falls, the rate of residents with high school diplomas is higher at 14.4% compared to 12.7% in Keizer.
- More residents in Keizer have less than a high school education at 13.9% compared to 8.3% in Fergus falls.
- In Fergus falls, a larger share of residents have a bachelor's degree or higher at 18.7% compared to 17.1% in Keizer.
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.