Demographics details for Banning, CA vs New riegel, OH
Population Overview
Compare main population characteristics in Banning, CA vs New riegel, OH.
| Data | Banning | New riegel |
|---|---|---|
| Population | 30,683 | 282 |
| Median Age | 42.8 years | 32.3 years |
| Median Income | $54,083 | $57,500 |
| Married Families | 35.0% | 46.0% |
| Poverty Level | 14% | 6% |
| Unemployment Rate | 6.5 | 2.5 |
Population Comparison: Banning vs New riegel
- In Banning, the population is higher at 30,683, compared to 282 in New riegel.
- Residents in Banning have a higher median age of 42.8 years compared to 32.3 years in New riegel.
- New riegel has a higher median income of $57,500, compared to $54,083 in Banning.
- In New riegel, the percentage of married families is higher at 46.0%, compared to 35.0% in Banning.
- Banning has a higher poverty level at 14% compared to 6% in New riegel.
- The unemployment rate in Banning is higher at 6.5%, compared to 2.5% in New riegel.
Demographics
Demographics Banning vs New riegel provide insight into the diversity of the communities to compare.
| Demographic | Banning | New riegel |
|---|---|---|
| Black | 7 | Data is updating |
| White | 21 | 69 |
| Asian | 5 | Data is updating |
| Hispanic | 48 | 21 |
| Two or More Races | 17 | 10 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Banning vs New riegel
- A higher percentage of Black residents are in Banning at 7% compared to 0% in New riegel.
- The percentage of White residents is higher in New riegel at 69% compared to 21% in Banning.
- The Asian population is larger in Banning at 5% compared to 0% in New riegel.
- The Hispanic community is larger in Banning at 48% compared to 21% in New riegel.
- More residents identify as two or more races in Banning at 17% compared to 10% in New riegel.
- A greater percentage of American Indian residents live in Banning at 2% compared to 0% in New riegel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Banning | New riegel |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.3% |
| Physical Health Not Good | 13.9% | 10.6% |
| Depression | 18.5% | 22.8% |
| Smoking | 17.2% | 19.3% |
| Binge Drinking | 15.2% | 19.4% |
| Obesity | 39.1% | 39.6% |
| Disability Percentage | 20.0% | 18.0% |
Health Statistics Comparison: Banning vs New riegel
- More residents in Banning report poor mental health at 18.1% compared to 16.3% in New riegel.
- Higher depression rates are seen in New riegel at 22.8% versus 18.5% in Banning.
- New riegel has a higher smoking rate at 19.3% compared to 17.2% in Banning.
- More residents engage in binge drinking in New riegel at 19.4% compared to 15.2% in Banning.
- New riegel has higher obesity rates at 39.6% compared to 39.1% in Banning.
- Disability percentages are higher in Banning at 20.0% compared to 18.0% in New riegel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Banning | New riegel |
|---|---|---|
| No Schooling | 2.4% (749) | 0.0% (Data is updating) |
| High School Diploma | 18.4% (5,655) | 27.7% (78) |
| Less than High School | 21.9% (6,720) | 12.8% (36) |
| Bachelor's Degree and Higher | 11.4% (3,495) | 11.3% (32) |
Education Levels Comparison: Banning vs New riegel
- A higher percentage of residents in Banning have no formal schooling at 2.4% compared to 0.0% in New riegel.
- In New riegel, the rate of residents with high school diplomas is higher at 27.7% compared to 18.4% in Banning.
- More residents in Banning have less than a high school education at 21.9% compared to 12.8% in New riegel.
- A higher percentage of residents in Banning hold a bachelor's degree or higher at 11.4% compared to 11.3% in New riegel.
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.