Demographics details for Eddyville, OR vs Norman, OK
Population Overview
Compare main population characteristics in Eddyville, OR vs Norman, OK.
| Data | Eddyville | Norman |
|---|---|---|
| Population | 942 | 129,627 |
| Median Age | 54.6 years | 31.0 years |
| Median Income | $98,174 | $62,849 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Eddyville vs Norman
- The population in Norman is higher at 129,627, compared to 942 in Eddyville.
- Residents in Eddyville have a higher median age of 54.6 years compared to 31.0 years in Norman.
- Eddyville has a higher median income of $98,174 compared to $62,849 in Norman.
- A higher percentage of married families is found in Eddyville at 37.0% compared to 35.0% in Norman.
- The poverty level is identical in both Eddyville and Norman at 12%.
- The unemployment rate in Eddyville is higher at 4.5%, compared to 3.5% in Norman.
Demographics
Demographics Eddyville vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Eddyville | Norman |
|---|---|---|
| Black | Data is updating | 5 |
| White | 76 | 67 |
| Asian | Data is updating | 5 |
| Hispanic | 9 | 8 |
| Two or More Races | 15 | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Eddyville vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 0% in Eddyville.
- Eddyville has a higher percentage of White residents at 76% compared to 67% in Norman.
- In Norman, the Asian population stands at 5%, greater than 0% in Eddyville.
- The Hispanic community is larger in Eddyville at 9% compared to 8% in Norman.
- More residents identify as two or more races in Eddyville at 15% compared to 11% in Norman.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Eddyville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eddyville | Norman |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.0% |
| Physical Health Not Good | Data is updating% | 11.2% |
| Depression | Data is updating% | 25.6% |
| Smoking | Data is updating% | 16.7% |
| Binge Drinking | Data is updating% | 15.5% |
| Obesity | Data is updating% | 34.9% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Eddyville vs Norman
- In Norman, a higher percentage report poor mental health at 17.0% compared to 0.0% in Eddyville.
- Higher depression rates are seen in Norman at 25.6% versus 0.0% in Eddyville.
- Norman has a higher smoking rate at 16.7% compared to 0.0% in Eddyville.
- More residents engage in binge drinking in Norman at 15.5% compared to 0.0% in Eddyville.
- Norman has higher obesity rates at 34.9% compared to 0.0% in Eddyville.
- Disability percentages are higher in Eddyville at 17.0% compared to 13.0% in Norman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eddyville | Norman |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (396) |
| High School Diploma | 17.7% (167) | 9.4% (12,171) |
| Less than High School | 8.1% (76) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 16.0% (151) | 26.3% (34,072) |
Education Levels Comparison: Eddyville vs Norman
- In Norman, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Eddyville.
- A higher percentage of residents in Eddyville hold a high school diploma at 17.7% compared to 9.4% in Norman.
- More residents in Eddyville have less than a high school education at 8.1% compared to 6.3% in Norman.
- In Norman, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 16.0% in Eddyville.
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.