Demographics details for Oklee, MN vs Ontario, CA
Population Overview
Compare main population characteristics in Oklee, MN vs Ontario, CA.
| Data | Oklee | Ontario |
|---|---|---|
| Population | 406 | 184,705 |
| Median Age | 35.3 years | 34.3 years |
| Median Income | $52,045 | $67,659 |
| Married Families | 41.0% | 30.5% |
| Poverty Level | 13% | 14% |
| Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Oklee vs Ontario
- The population in Ontario is higher at 184,705, compared to 406 in Oklee.
- Residents in Oklee have a higher median age of 35.3 years compared to 34.3 years in Ontario.
- Ontario has a higher median income of $67,659, compared to $52,045 in Oklee.
- A higher percentage of married families is found in Oklee at 41.0% compared to 30.5% in Ontario.
- The poverty level is higher in Ontario at 14%, compared to 13% in Oklee.
- Ontario has a higher unemployment rate at 5.1% compared to 4.5% in Oklee.
Demographics
Demographics Oklee vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Oklee | Ontario |
|---|---|---|
| Black | Data is updating | 8.5 |
| White | 92 | 36.2 |
| Asian | Data is updating | 6.0 |
| Hispanic | Data is updating | 44.5 |
| Two or More Races | 4 | 4.8 |
| American Indian | 4 | 0.5 |
Demographics Comparison: Oklee vs Ontario
- In Ontario, the percentage of Black residents is higher at 8.5% compared to 0% in Oklee.
- Oklee has a higher percentage of White residents at 92% compared to 36.2% in Ontario.
- In Ontario, the Asian population stands at 6.0%, greater than 0% in Oklee.
- Ontario has a higher percentage of Hispanic residents at 44.5%, compared to 0% in Oklee.
- The percentage of residents identifying as two or more races is higher in Ontario at 4.8%, compared to 4% in Oklee.
- A greater percentage of American Indian residents live in Oklee at 4% compared to 0.5% in Ontario.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oklee | Ontario |
|---|---|---|
| Mental Health Not Good | 16.0% | Data is updating% |
| Physical Health Not Good | 10.3% | Data is updating% |
| Depression | 23.7% | Data is updating% |
| Smoking | 20.5% | Data is updating% |
| Binge Drinking | 20.8% | Data is updating% |
| Obesity | 39.2% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Oklee vs Ontario
- More residents in Oklee report poor mental health at 16.0% compared to 0.0% in Ontario.
- Depression is more prevalent in Oklee at 23.7% compared to 0.0% in Ontario.
- Smoking is more prevalent in Oklee at 20.5% compared to 0.0% in Ontario.
- Binge drinking is more common in Oklee at 20.8% compared to 0.0% in Ontario.
- Obesity rates are higher in Oklee at 39.2% compared to 0.0% in Ontario.
- Disability percentages are higher in Oklee at 20.0% compared to 0.0% in Ontario.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oklee | Ontario |
|---|---|---|
| No Schooling | 0.5% (2) | 0.0% (Data is updating) |
| High School Diploma | 17.7% (72) | 0.0% (Data is updating) |
| Less than High School | 6.2% (25) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.8% (44) | 0.0% (Data is updating) |
Education Levels Comparison: Oklee vs Ontario
- A higher percentage of residents in Oklee have no formal schooling at 0.5% compared to 0.0% in Ontario.
- A higher percentage of residents in Oklee hold a high school diploma at 17.7% compared to 0.0% in Ontario.
- More residents in Oklee have less than a high school education at 6.2% compared to 0.0% in Ontario.
- A higher percentage of residents in Oklee hold a bachelor's degree or higher at 10.8% compared to 0.0% in Ontario.
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.