Demographics details for Middle point, OH vs Chino, CA
Population Overview
Compare main population characteristics in Middle point, OH vs Chino, CA.
| Data | Middle point | Chino |
|---|---|---|
| Population | 565 | 93,140 |
| Median Age | 37.0 years | 36.9 years |
| Median Income | $54,479 | $99,385 |
| Married Families | 44.0% | 40.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.5 | 4.6 |
Population Comparison: Middle point vs Chino
- The population in Chino is higher at 93,140, compared to 565 in Middle point.
- Residents in Middle point have a higher median age of 37.0 years compared to 36.9 years in Chino.
- Chino has a higher median income of $99,385, compared to $54,479 in Middle point.
- A higher percentage of married families is found in Middle point at 44.0% compared to 40.0% in Chino.
- The poverty level is higher in Chino at 12%, compared to 8% in Middle point.
- Chino has a higher unemployment rate at 4.6% compared to 4.5% in Middle point.
Demographics
Demographics Middle point vs Chino provide insight into the diversity of the communities to compare.
| Demographic | Middle point | Chino |
|---|---|---|
| Black | Data is updating | 7 |
| White | 99 | 4 |
| Asian | Data is updating | 18 |
| Hispanic | Data is updating | 53 |
| Two or More Races | 1 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Middle point vs Chino
- In Chino, the percentage of Black residents is higher at 7% compared to 0% in Middle point.
- Middle point has a higher percentage of White residents at 99% compared to 4% in Chino.
- In Chino, the Asian population stands at 18%, greater than 0% in Middle point.
- Chino has a higher percentage of Hispanic residents at 53%, compared to 0% in Middle point.
- The percentage of residents identifying as two or more races is higher in Chino at 17%, compared to 1% in Middle point.
- In Chino, the percentage of American Indian residents is higher at 1%, compared to 0% in Middle point.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Middle point | Chino |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.2% |
| Physical Health Not Good | 10.5% | 11.1% |
| Depression | 23.4% | 16.7% |
| Smoking | 18.5% | 11.3% |
| Binge Drinking | 19.3% | 16.0% |
| Obesity | 41.8% | 35.6% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Middle point vs Chino
- More residents in Middle point report poor mental health at 16.7% compared to 15.2% in Chino.
- Depression is more prevalent in Middle point at 23.4% compared to 16.7% in Chino.
- Smoking is more prevalent in Middle point at 18.5% compared to 11.3% in Chino.
- Binge drinking is more common in Middle point at 19.3% compared to 16.0% in Chino.
- Obesity rates are higher in Middle point at 41.8% compared to 35.6% in Chino.
- Disability percentages are higher in Middle point at 12.0% compared to 7.0% in Chino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Middle point | Chino |
|---|---|---|
| No Schooling | 1.1% (6) | 1.6% (1,483) |
| High School Diploma | 34.2% (193) | 13.2% (12,268) |
| Less than High School | 13.1% (74) | 20.1% (18,697) |
| Bachelor's Degree and Higher | 9.4% (53) | 18.9% (17,626) |
Education Levels Comparison: Middle point vs Chino
- In Chino, a larger percentage of residents lack formal schooling at 1.6% compared to 1.1% in Middle point.
- A higher percentage of residents in Middle point hold a high school diploma at 34.2% compared to 13.2% in Chino.
- The percentage of residents with less than a high school education is higher in Chino at 20.1%, compared to 13.1% in Middle point.
- In Chino, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 9.4% in Middle point.
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.