Demographics details for Diamond springs, CA vs Everest, KS
Population Overview
Compare main population characteristics in Diamond springs, CA vs Everest, KS.
| Data | Diamond springs | Everest |
|---|---|---|
| Population | 12,197 | 258 |
| Median Age | 43.7 years | 34.5 years |
| Median Income | $71,279 | $44,375 |
| Married Families | 44.0% | 50.0% |
| Poverty Level | 11% | 11% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Diamond springs vs Everest
- In Diamond springs, the population is higher at 12,197, compared to 258 in Everest.
- Residents in Diamond springs have a higher median age of 43.7 years compared to 34.5 years in Everest.
- Diamond springs has a higher median income of $71,279 compared to $44,375 in Everest.
- In Everest, the percentage of married families is higher at 50.0%, compared to 44.0% in Diamond springs.
- The poverty level is identical in both Diamond springs and Everest at 11%.
- The unemployment rate in Diamond springs is higher at 4.2%, compared to 3.5% in Everest.
Demographics
Demographics Diamond springs vs Everest provide insight into the diversity of the communities to compare.
| Demographic | Diamond springs | Everest |
|---|---|---|
| Black | Data is updating | 2 |
| White | 72 | 90 |
| Asian | 3 | Data is updating |
| Hispanic | 18 | Data is updating |
| Two or More Races | 6 | 6 |
| American Indian | 1 | 2 |
Demographics Comparison: Diamond springs vs Everest
- In Everest, the percentage of Black residents is higher at 2% compared to 0% in Diamond springs.
- The percentage of White residents is higher in Everest at 90% compared to 72% in Diamond springs.
- The Asian population is larger in Diamond springs at 3% compared to 0% in Everest.
- The Hispanic community is larger in Diamond springs at 18% compared to 0% in Everest.
- Both Diamond springs and Everest have the same percentage of residents identifying as two or more races at 6%.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 1% in Diamond springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Diamond springs | Everest |
|---|---|---|
| Mental Health Not Good | 16.7% | 17.3% |
| Physical Health Not Good | 10.4% | 11.2% |
| Depression | 23.2% | 22.4% |
| Smoking | 12.7% | 20.4% |
| Binge Drinking | 19.0% | 19.1% |
| Obesity | 29.1% | 37.8% |
| Disability Percentage | 14.0% | 50.0% |
Health Statistics Comparison: Diamond springs vs Everest
- In Everest, a higher percentage report poor mental health at 17.3% compared to 16.7% in Diamond springs.
- Depression is more prevalent in Diamond springs at 23.2% compared to 22.4% in Everest.
- Everest has a higher smoking rate at 20.4% compared to 12.7% in Diamond springs.
- More residents engage in binge drinking in Everest at 19.1% compared to 19.0% in Diamond springs.
- Everest has higher obesity rates at 37.8% compared to 29.1% in Diamond springs.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 14.0% in Diamond springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Diamond springs | Everest |
|---|---|---|
| No Schooling | 0.6% (73) | 0.0% (Data is updating) |
| High School Diploma | 17.2% (2,093) | 26.4% (68) |
| Less than High School | 5.8% (711) | 17.8% (46) |
| Bachelor's Degree and Higher | 18.6% (2,271) | 36.8% (95) |
Education Levels Comparison: Diamond springs vs Everest
- A higher percentage of residents in Diamond springs have no formal schooling at 0.6% compared to 0.0% in Everest.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 17.2% in Diamond springs.
- The percentage of residents with less than a high school education is higher in Everest at 17.8%, compared to 5.8% in Diamond springs.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 18.6% in Diamond springs.
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.