Demographics details for Pound, WI vs Norman, OK
Population Overview
Compare main population characteristics in Pound, WI vs Norman, OK.
| Data | Pound | Norman |
|---|---|---|
| Population | 377 | 129,627 |
| Median Age | 47.0 years | 31.0 years |
| Median Income | $58,000 | $62,849 |
| Married Families | 31.0% | 35.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Pound vs Norman
- The population in Norman is higher at 129,627, compared to 377 in Pound.
- Residents in Pound have a higher median age of 47.0 years compared to 31.0 years in Norman.
- Norman has a higher median income of $62,849, compared to $58,000 in Pound.
- In Norman, the percentage of married families is higher at 35.0%, compared to 31.0% in Pound.
- The poverty level is higher in Norman at 12%, compared to 5% in Pound.
- The unemployment rate is the same in both Pound and Norman at 3.5%.
Demographics
Demographics Pound vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Pound | Norman |
|---|---|---|
| Black | Data is updating | 5 |
| White | 100 | 67 |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 8 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Pound vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 0% in Pound.
- Pound has a higher percentage of White residents at 100% compared to 67% in Norman.
- In Norman, the Asian population stands at 5%, greater than 0% in Pound.
- Norman has a higher percentage of Hispanic residents at 8%, compared to 0% in Pound.
- The percentage of residents identifying as two or more races is higher in Norman at 11%, compared to 0% in Pound.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Pound.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pound | 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 | Data is updating% | 13.0% |
Health Statistics Comparison: Pound vs Norman
- In Norman, a higher percentage report poor mental health at 17.0% compared to 0.0% in Pound.
- Higher depression rates are seen in Norman at 25.6% versus 0.0% in Pound.
- Norman has a higher smoking rate at 16.7% compared to 0.0% in Pound.
- More residents engage in binge drinking in Norman at 15.5% compared to 0.0% in Pound.
- Norman has higher obesity rates at 34.9% compared to 0.0% in Pound.
- There is a higher percentage of disabled individuals in Norman at 13.0% compared to 0.0% in Pound.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pound | Norman |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (396) |
| High School Diploma | 0.0% (Data is updating) | 9.4% (12,171) |
| Less than High School | 0.0% (Data is updating) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 26.3% (34,072) |
Education Levels Comparison: Pound vs Norman
- In Norman, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Pound.
- In Norman, the rate of residents with high school diplomas is higher at 9.4% compared to 0.0% in Pound.
- The percentage of residents with less than a high school education is higher in Norman at 6.3%, compared to 0.0% in Pound.
- In Norman, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 0.0% in Pound.
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.