Demographics details for Spring valley, NY vs Norman, OK
Population Overview
Compare main population characteristics in Spring valley, NY vs Norman, OK.
| Data | Spring valley | Norman |
|---|---|---|
| Population | 32,884 | 129,627 |
| Median Age | 27.5 years | 31.0 years |
| Median Income | $50,749 | $62,849 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Spring valley vs Norman
- The population in Norman is higher at 129,627, compared to 32,884 in Spring valley.
- The median age in Norman is higher at 31.0 years, compared to 27.5 years in Spring valley.
- Norman has a higher median income of $62,849, compared to $50,749 in Spring valley.
- In Norman, the percentage of married families is higher at 35.0%, compared to 32.0% in Spring valley.
- The poverty level is higher in Norman at 12%, compared to 10% in Spring valley.
- Norman has a higher unemployment rate at 3.5% compared to 3.2% in Spring valley.
Demographics
Demographics Spring valley vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Spring valley | Norman |
|---|---|---|
| Black | 32 | 5 |
| White | 31 | 67 |
| Asian | 3 | 5 |
| Hispanic | 29 | 8 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Spring valley vs Norman
- A higher percentage of Black residents are in Spring valley at 32% compared to 5% in Norman.
- The percentage of White residents is higher in Norman at 67% compared to 31% in Spring valley.
- In Norman, the Asian population stands at 5%, greater than 3% in Spring valley.
- The Hispanic community is larger in Spring valley at 29% compared to 8% in Norman.
- The percentage of residents identifying as two or more races is higher in Norman at 11%, compared to 5% in Spring valley.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Spring valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring valley | Norman |
|---|---|---|
| Mental Health Not Good | 16.7% | 17.0% |
| Physical Health Not Good | 13.9% | 11.2% |
| Depression | 18.7% | 25.6% |
| Smoking | 22.3% | 16.7% |
| Binge Drinking | 12.6% | 15.5% |
| Obesity | 34.3% | 34.9% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Spring valley vs Norman
- In Norman, a higher percentage report poor mental health at 17.0% compared to 16.7% in Spring valley.
- Higher depression rates are seen in Norman at 25.6% versus 18.7% in Spring valley.
- Smoking is more prevalent in Spring valley at 22.3% compared to 16.7% in Norman.
- More residents engage in binge drinking in Norman at 15.5% compared to 12.6% in Spring valley.
- Norman has higher obesity rates at 34.9% compared to 34.3% in Spring valley.
- There is a higher percentage of disabled individuals in Norman at 13.0% compared to 8.0% in Spring valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spring valley | Norman |
|---|---|---|
| No Schooling | 3.7% (1,224) | 0.3% (396) |
| High School Diploma | 13.1% (4,315) | 9.4% (12,171) |
| Less than High School | 20.5% (6,742) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 10.0% (3,273) | 26.3% (34,072) |
Education Levels Comparison: Spring valley vs Norman
- A higher percentage of residents in Spring valley have no formal schooling at 3.7% compared to 0.3% in Norman.
- A higher percentage of residents in Spring valley hold a high school diploma at 13.1% compared to 9.4% in Norman.
- More residents in Spring valley have less than a high school education at 20.5% 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 10.0% in Spring valley.
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.