Demographics details for Everest, KS vs Diamond bar, CA
Population Overview
Compare main population characteristics in Everest, KS vs Diamond bar, CA.
| Data | Everest | Diamond bar |
|---|---|---|
| Population | 258 | 52,855 |
| Median Age | 34.5 years | 44.7 years |
| Median Income | $44,375 | $106,881 |
| Married Families | 50.0% | 49.0% |
| Poverty Level | 11% | 8% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Everest vs Diamond bar
- The population in Diamond bar is higher at 52,855, compared to 258 in Everest.
- The median age in Diamond bar is higher at 44.7 years, compared to 34.5 years in Everest.
- Diamond bar has a higher median income of $106,881, compared to $44,375 in Everest.
- A higher percentage of married families is found in Everest at 50.0% compared to 49.0% in Diamond bar.
- Everest has a higher poverty level at 11% compared to 8% in Diamond bar.
- Diamond bar has a higher unemployment rate at 4.5% compared to 3.5% in Everest.
Demographics
Demographics Everest vs Diamond bar provide insight into the diversity of the communities to compare.
| Demographic | Everest | Diamond bar |
|---|---|---|
| Black | 2 | 4 |
| White | 90 | 6 |
| Asian | Data is updating | 61 |
| Hispanic | Data is updating | 20 |
| Two or More Races | 6 | 8 |
| American Indian | 2 | 1 |
Demographics Comparison: Everest vs Diamond bar
- In Diamond bar, the percentage of Black residents is higher at 4% compared to 2% in Everest.
- Everest has a higher percentage of White residents at 90% compared to 6% in Diamond bar.
- In Diamond bar, the Asian population stands at 61%, greater than 0% in Everest.
- Diamond bar has a higher percentage of Hispanic residents at 20%, compared to 0% in Everest.
- The percentage of residents identifying as two or more races is higher in Diamond bar at 8%, compared to 6% in Everest.
- A greater percentage of American Indian residents live in Everest at 2% compared to 1% in Diamond bar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | Diamond bar |
|---|---|---|
| Mental Health Not Good | 17.3% | 11.4% |
| Physical Health Not Good | 11.2% | 7.3% |
| Depression | 22.4% | 11.7% |
| Smoking | 20.4% | 6.8% |
| Binge Drinking | 19.1% | 13.2% |
| Obesity | 37.8% | 19.3% |
| Disability Percentage | 50.0% | 8.0% |
Health Statistics Comparison: Everest vs Diamond bar
- More residents in Everest report poor mental health at 17.3% compared to 11.4% in Diamond bar.
- Depression is more prevalent in Everest at 22.4% compared to 11.7% in Diamond bar.
- Smoking is more prevalent in Everest at 20.4% compared to 6.8% in Diamond bar.
- Binge drinking is more common in Everest at 19.1% compared to 13.2% in Diamond bar.
- Obesity rates are higher in Everest at 37.8% compared to 19.3% in Diamond bar.
- Disability percentages are higher in Everest at 50.0% compared to 8.0% in Diamond bar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | Diamond bar |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.4% (1,281) |
| High School Diploma | 26.4% (68) | 9.0% (4,746) |
| Less than High School | 17.8% (46) | 7.6% (4,036) |
| Bachelor's Degree and Higher | 36.8% (95) | 39.3% (20,796) |
Education Levels Comparison: Everest vs Diamond bar
- In Diamond bar, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Everest.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 9.0% in Diamond bar.
- More residents in Everest have less than a high school education at 17.8% compared to 7.6% in Diamond bar.
- In Diamond bar, a larger share of residents have a bachelor's degree or higher at 39.3% compared to 36.8% in Everest.
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.