Demographics details for Norman, OK vs Shabbona, IL
Population Overview
Compare main population characteristics in Norman, OK vs Shabbona, IL.
| Data | Norman | Shabbona |
|---|---|---|
| Population | 129,627 | 850 |
| Median Age | 31.0 years | 53.7 years |
| Median Income | $62,849 | $60,625 |
| Married Families | 35.0% | 34.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Norman vs Shabbona
- In Norman, the population is higher at 129,627, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 31.0 years in Norman.
- Norman has a higher median income of $62,849 compared to $60,625 in Shabbona.
- A higher percentage of married families is found in Norman at 35.0% compared to 34.0% in Shabbona.
- Norman has a higher poverty level at 12% compared to 8% in Shabbona.
- Shabbona has a higher unemployment rate at 5.1% compared to 3.5% in Norman.
Demographics
Demographics Norman vs Shabbona provide insight into the diversity of the communities to compare.
| Demographic | Norman | Shabbona |
|---|---|---|
| Black | 5 | 1 |
| White | 67 | 94 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | 3 |
| Two or More Races | 11 | 2 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Norman vs Shabbona
- A higher percentage of Black residents are in Norman at 5% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 67% in Norman.
- The Asian population is larger in Norman at 5% compared to 0% in Shabbona.
- The Hispanic community is larger in Norman at 8% compared to 3% in Shabbona.
- More residents identify as two or more races in Norman at 11% compared to 2% in Shabbona.
- A greater percentage of American Indian residents live in Norman at 4% compared to 0% in Shabbona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norman | Shabbona |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.2% |
| Physical Health Not Good | 11.2% | 10.5% |
| Depression | 25.6% | 22.1% |
| Smoking | 16.7% | 16.5% |
| Binge Drinking | 15.5% | 18.8% |
| Obesity | 34.9% | 36.3% |
| Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Norman vs Shabbona
- More residents in Norman report poor mental health at 17.0% compared to 16.2% in Shabbona.
- Depression is more prevalent in Norman at 25.6% compared to 22.1% in Shabbona.
- Smoking is more prevalent in Norman at 16.7% compared to 16.5% in Shabbona.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 15.5% in Norman.
- Shabbona has higher obesity rates at 36.3% compared to 34.9% in Norman.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% 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 | Norman | Shabbona |
|---|---|---|
| No Schooling | 0.3% (396) | 0.0% (Data is updating) |
| High School Diploma | 9.4% (12,171) | 22.1% (188) |
| Less than High School | 6.3% (8,174) | 7.6% (65) |
| Bachelor's Degree and Higher | 26.3% (34,072) | 12.2% (104) |
Education Levels Comparison: Norman vs Shabbona
- A higher percentage of residents in Norman have no formal schooling at 0.3% compared to 0.0% in Shabbona.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 9.4% in Norman.
- The percentage of residents with less than a high school education is higher in Shabbona at 7.6%, compared to 6.3% in Norman.
- A higher percentage of residents in Norman hold a bachelor's degree or higher at 26.3% compared to 12.2% in Shabbona.
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.