Demographics details for Greenwood, WI vs Norman, OK
Population Overview
Compare main population characteristics in Greenwood, WI vs Norman, OK.
| Data | Greenwood | Norman |
|---|---|---|
| Population | 1,110 | 129,627 |
| Median Age | 45.7 years | 31.0 years |
| Median Income | $53,750 | $62,849 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Greenwood vs Norman
- The population in Norman is higher at 129,627, compared to 1,110 in Greenwood.
- Residents in Greenwood have a higher median age of 45.7 years compared to 31.0 years in Norman.
- Norman has a higher median income of $62,849, compared to $53,750 in Greenwood.
- In Norman, the percentage of married families is higher at 35.0%, compared to 34.0% in Greenwood.
- The poverty level is identical in both Greenwood and Norman at 12%.
- The unemployment rate is the same in both Greenwood and Norman at 3.5%.
Demographics
Demographics Greenwood vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Greenwood | Norman |
|---|---|---|
| Black | Data is updating | 5 |
| White | 94 | 67 |
| Asian | Data is updating | 5 |
| Hispanic | 1 | 8 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Greenwood vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 0% in Greenwood.
- Greenwood has a higher percentage of White residents at 94% compared to 67% in Norman.
- In Norman, the Asian population stands at 5%, greater than 0% in Greenwood.
- Norman has a higher percentage of Hispanic residents at 8%, compared to 1% in Greenwood.
- The percentage of residents identifying as two or more races is higher in Norman at 11%, compared to 5% in Greenwood.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Greenwood.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenwood | Norman |
|---|---|---|
| Mental Health Not Good | 17.0% | 17.0% |
| Physical Health Not Good | 12.3% | 11.2% |
| Depression | 23.8% | 25.6% |
| Smoking | 20.6% | 16.7% |
| Binge Drinking | 23.5% | 15.5% |
| Obesity | 37.3% | 34.9% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Greenwood vs Norman
- Poor mental health levels are equal in both Greenwood and Norman at 17.0%.
- Higher depression rates are seen in Norman at 25.6% versus 23.8% in Greenwood.
- Smoking is more prevalent in Greenwood at 20.6% compared to 16.7% in Norman.
- Binge drinking is more common in Greenwood at 23.5% compared to 15.5% in Norman.
- Obesity rates are higher in Greenwood at 37.3% compared to 34.9% in Norman.
- Disability percentages are higher in Greenwood at 14.0% 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 | Greenwood | Norman |
|---|---|---|
| No Schooling | 1.6% (18) | 0.3% (396) |
| High School Diploma | 24.8% (275) | 9.4% (12,171) |
| Less than High School | 20.3% (225) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 8.1% (90) | 26.3% (34,072) |
Education Levels Comparison: Greenwood vs Norman
- A higher percentage of residents in Greenwood have no formal schooling at 1.6% compared to 0.3% in Norman.
- A higher percentage of residents in Greenwood hold a high school diploma at 24.8% compared to 9.4% in Norman.
- More residents in Greenwood have less than a high school education at 20.3% 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 8.1% in Greenwood.
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.