Demographics details for Snellville, GA vs Norman, OK
Population Overview
Compare main population characteristics in Snellville, GA vs Norman, OK.
| Data | Snellville | Norman |
|---|---|---|
| Population | 22,024 | 129,627 |
| Median Age | 42.1 years | 31.0 years |
| Median Income | $88,586 | $62,849 |
| Married Families | 42.0% | 35.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Snellville vs Norman
- The population in Norman is higher at 129,627, compared to 22,024 in Snellville.
- Residents in Snellville have a higher median age of 42.1 years compared to 31.0 years in Norman.
- Snellville has a higher median income of $88,586 compared to $62,849 in Norman.
- A higher percentage of married families is found in Snellville at 42.0% compared to 35.0% in Norman.
- The poverty level is higher in Norman at 12%, compared to 10% in Snellville.
- The unemployment rate is the same in both Snellville and Norman at 3.5%.
Demographics
Demographics Snellville vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Snellville | Norman |
|---|---|---|
| Black | 38 | 5 |
| White | 34 | 67 |
| Asian | 9 | 5 |
| Hispanic | 13 | 8 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Snellville vs Norman
- A higher percentage of Black residents are in Snellville at 38% compared to 5% in Norman.
- The percentage of White residents is higher in Norman at 67% compared to 34% in Snellville.
- The Asian population is larger in Snellville at 9% compared to 5% in Norman.
- The Hispanic community is larger in Snellville at 13% compared to 8% in Norman.
- The percentage of residents identifying as two or more races is higher in Norman at 11%, compared to 6% in Snellville.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Snellville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Snellville | Norman |
|---|---|---|
| Mental Health Not Good | 14.6% | 17.0% |
| Physical Health Not Good | 9.7% | 11.2% |
| Depression | 18.2% | 25.6% |
| Smoking | 13.1% | 16.7% |
| Binge Drinking | 15.1% | 15.5% |
| Obesity | 31.9% | 34.9% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Snellville vs Norman
- In Norman, a higher percentage report poor mental health at 17.0% compared to 14.6% in Snellville.
- Higher depression rates are seen in Norman at 25.6% versus 18.2% in Snellville.
- Norman has a higher smoking rate at 16.7% compared to 13.1% in Snellville.
- More residents engage in binge drinking in Norman at 15.5% compared to 15.1% in Snellville.
- Norman has higher obesity rates at 34.9% compared to 31.9% in Snellville.
- There is a higher percentage of disabled individuals in Norman at 13.0% compared to 11.0% in Snellville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Snellville | Norman |
|---|---|---|
| No Schooling | 0.4% (94) | 0.3% (396) |
| High School Diploma | 13.5% (2,970) | 9.4% (12,171) |
| Less than High School | 10.1% (2,226) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 24.8% (5,469) | 26.3% (34,072) |
Education Levels Comparison: Snellville vs Norman
- A higher percentage of residents in Snellville have no formal schooling at 0.4% compared to 0.3% in Norman.
- A higher percentage of residents in Snellville hold a high school diploma at 13.5% compared to 9.4% in Norman.
- More residents in Snellville have less than a high school education at 10.1% 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 24.8% in Snellville.
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.