Demographics details for Jupiter, FL vs Chino hills, CA
Population Overview
Compare main population characteristics in Jupiter, FL vs Chino hills, CA.
| Data | Jupiter | Chino hills |
|---|---|---|
| Population | 61,126 | 77,949 |
| Median Age | 47.1 years | 39.4 years |
| Median Income | $105,413 | $117,548 |
| Married Families | 45.0% | 47.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 2.9 | 3.5 |
Population Comparison: Jupiter vs Chino hills
- The population in Chino hills is higher at 77,949, compared to 61,126 in Jupiter.
- Residents in Jupiter have a higher median age of 47.1 years compared to 39.4 years in Chino hills.
- Chino hills has a higher median income of $117,548, compared to $105,413 in Jupiter.
- In Chino hills, the percentage of married families is higher at 47.0%, compared to 45.0% in Jupiter.
- Jupiter has a higher poverty level at 9% compared to 8% in Chino hills.
- Chino hills has a higher unemployment rate at 3.5% compared to 2.9% in Jupiter.
Demographics
Demographics Jupiter vs Chino hills provide insight into the diversity of the communities to compare.
| Demographic | Jupiter | Chino hills |
|---|---|---|
| Black | 1 | 4 |
| White | 69 | 14 |
| Asian | 2 | 40 |
| Hispanic | 16 | 29 |
| Two or More Races | 11 | 13 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Jupiter vs Chino hills
- In Chino hills, the percentage of Black residents is higher at 4% compared to 1% in Jupiter.
- Jupiter has a higher percentage of White residents at 69% compared to 14% in Chino hills.
- In Chino hills, the Asian population stands at 40%, greater than 2% in Jupiter.
- Chino hills has a higher percentage of Hispanic residents at 29%, compared to 16% in Jupiter.
- The percentage of residents identifying as two or more races is higher in Chino hills at 13%, compared to 11% in Jupiter.
- A greater percentage of American Indian residents live in Jupiter at 1% compared to 0% in Chino hills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jupiter | Chino hills |
|---|---|---|
| Mental Health Not Good | 14.1% | 12.7% |
| Physical Health Not Good | 8.6% | 8.0% |
| Depression | 17.9% | 14.6% |
| Smoking | 14.4% | 7.9% |
| Binge Drinking | 17.7% | 15.3% |
| Obesity | 23.3% | 28.4% |
| Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Jupiter vs Chino hills
- More residents in Jupiter report poor mental health at 14.1% compared to 12.7% in Chino hills.
- Depression is more prevalent in Jupiter at 17.9% compared to 14.6% in Chino hills.
- Smoking is more prevalent in Jupiter at 14.4% compared to 7.9% in Chino hills.
- Binge drinking is more common in Jupiter at 17.7% compared to 15.3% in Chino hills.
- Chino hills has higher obesity rates at 28.4% compared to 23.3% in Jupiter.
- Disability percentages are higher in Jupiter at 11.0% compared to 7.0% in Chino hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jupiter | Chino hills |
|---|---|---|
| No Schooling | 1.2% (721) | 1.1% (849) |
| High School Diploma | 10.8% (6,624) | 9.6% (7,450) |
| Less than High School | 9.1% (5,552) | 7.2% (5,599) |
| Bachelor's Degree and Higher | 36.5% (22,312) | 34.4% (26,814) |
Education Levels Comparison: Jupiter vs Chino hills
- A higher percentage of residents in Jupiter have no formal schooling at 1.2% compared to 1.1% in Chino hills.
- A higher percentage of residents in Jupiter hold a high school diploma at 10.8% compared to 9.6% in Chino hills.
- More residents in Jupiter have less than a high school education at 9.1% compared to 7.2% in Chino hills.
- A higher percentage of residents in Jupiter hold a bachelor's degree or higher at 36.5% compared to 34.4% in Chino hills.
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.