Demographics details for South gate, CA vs Norman, OK
Population Overview
Compare main population characteristics in South gate, CA vs Norman, OK.
| Data | South gate | Norman |
|---|---|---|
| Population | 90,926 | 129,627 |
| Median Age | 33.7 years | 31.0 years |
| Median Income | $67,188 | $62,849 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.1 | 3.5 |
Population Comparison: South gate vs Norman
- The population in Norman is higher at 129,627, compared to 90,926 in South gate.
- Residents in South gate have a higher median age of 33.7 years compared to 31.0 years in Norman.
- South gate has a higher median income of $67,188 compared to $62,849 in Norman.
- In Norman, the percentage of married families is higher at 35.0%, compared to 34.0% in South gate.
- South gate has a higher poverty level at 18% compared to 12% in Norman.
- The unemployment rate in South gate is higher at 6.1%, compared to 3.5% in Norman.
Demographics
Demographics South gate vs Norman provide insight into the diversity of the communities to compare.
| Demographic | South gate | Norman |
|---|---|---|
| Black | 1 | 5 |
| White | -21 | 67 |
| Asian | 1 | 5 |
| Hispanic | 97 | 8 |
| Two or More Races | 21 | 11 |
| American Indian | 1 | 4 |
Demographics Comparison: South gate vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 1% in South gate.
- The percentage of White residents is higher in Norman at 67% compared to -21% in South gate.
- In Norman, the Asian population stands at 5%, greater than 1% in South gate.
- The Hispanic community is larger in South gate at 97% compared to 8% in Norman.
- More residents identify as two or more races in South gate at 21% compared to 11% in Norman.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 1% in South gate.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South gate | Norman |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.0% |
| Physical Health Not Good | 14.9% | 11.2% |
| Depression | 16.3% | 25.6% |
| Smoking | 12.7% | 16.7% |
| Binge Drinking | 14.5% | 15.5% |
| Obesity | 34.1% | 34.9% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: South gate vs Norman
- In Norman, a higher percentage report poor mental health at 17.0% compared to 16.8% in South gate.
- Higher depression rates are seen in Norman at 25.6% versus 16.3% in South gate.
- Norman has a higher smoking rate at 16.7% compared to 12.7% in South gate.
- More residents engage in binge drinking in Norman at 15.5% compared to 14.5% in South gate.
- Norman has higher obesity rates at 34.9% compared to 34.1% in South gate.
- There is a higher percentage of disabled individuals in Norman at 13.0% compared to 9.0% in South gate.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South gate | Norman |
|---|---|---|
| No Schooling | 4.6% (4,160) | 0.3% (396) |
| High School Diploma | 14.9% (13,536) | 9.4% (12,171) |
| Less than High School | 53.3% (48,481) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 7.5% (6,822) | 26.3% (34,072) |
Education Levels Comparison: South gate vs Norman
- A higher percentage of residents in South gate have no formal schooling at 4.6% compared to 0.3% in Norman.
- A higher percentage of residents in South gate hold a high school diploma at 14.9% compared to 9.4% in Norman.
- More residents in South gate have less than a high school education at 53.3% 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 7.5% in South gate.
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.