Demographics details for Everest, KS vs Cornelius, NC
Population Overview
Compare main population characteristics in Everest, KS vs Cornelius, NC.
| Data | Everest | Cornelius |
|---|---|---|
| Population | 258 | 32,294 |
| Median Age | 34.5 years | 44.3 years |
| Median Income | $44,375 | $107,969 |
| Married Families | 50.0% | 48.0% |
| Poverty Level | 11% | 4% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Everest vs Cornelius
- The population in Cornelius is higher at 32,294, compared to 258 in Everest.
- The median age in Cornelius is higher at 44.3 years, compared to 34.5 years in Everest.
- Cornelius has a higher median income of $107,969, compared to $44,375 in Everest.
- A higher percentage of married families is found in Everest at 50.0% compared to 48.0% in Cornelius.
- Everest has a higher poverty level at 11% compared to 4% in Cornelius.
- The unemployment rate in Everest is higher at 3.5%, compared to 3.2% in Cornelius.
Demographics
Demographics Everest vs Cornelius provide insight into the diversity of the communities to compare.
| Demographic | Everest | Cornelius |
|---|---|---|
| Black | 2 | 5 |
| White | 90 | 81 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 6 |
| Two or More Races | 6 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Everest vs Cornelius
- In Cornelius, the percentage of Black residents is higher at 5% compared to 2% in Everest.
- Everest has a higher percentage of White residents at 90% compared to 81% in Cornelius.
- In Cornelius, the Asian population stands at 3%, greater than 0% in Everest.
- Cornelius has a higher percentage of Hispanic residents at 6%, compared to 0% in Everest.
- More residents identify as two or more races in Everest at 6% compared to 5% in Cornelius.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in Cornelius.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | Cornelius |
|---|---|---|
| Mental Health Not Good | 17.3% | 13.3% |
| Physical Health Not Good | 11.2% | 8.0% |
| Depression | 22.4% | 21.6% |
| Smoking | 20.4% | 10.6% |
| Binge Drinking | 19.1% | 20.6% |
| Obesity | 37.8% | 29.5% |
| Disability Percentage | 50.0% | 7.0% |
Health Statistics Comparison: Everest vs Cornelius
- More residents in Everest report poor mental health at 17.3% compared to 13.3% in Cornelius.
- Depression is more prevalent in Everest at 22.4% compared to 21.6% in Cornelius.
- Smoking is more prevalent in Everest at 20.4% compared to 10.6% in Cornelius.
- More residents engage in binge drinking in Cornelius at 20.6% compared to 19.1% in Everest.
- Obesity rates are higher in Everest at 37.8% compared to 29.5% in Cornelius.
- Disability percentages are higher in Everest at 50.0% compared to 7.0% in Cornelius.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | Cornelius |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (220) |
| High School Diploma | 26.4% (68) | 6.7% (2,153) |
| Less than High School | 17.8% (46) | 3.5% (1,130) |
| Bachelor's Degree and Higher | 36.8% (95) | 40.9% (13,215) |
Education Levels Comparison: Everest vs Cornelius
- In Cornelius, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Everest.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 6.7% in Cornelius.
- More residents in Everest have less than a high school education at 17.8% compared to 3.5% in Cornelius.
- In Cornelius, a larger share of residents have a bachelor's degree or higher at 40.9% 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.