Demographics details for Everest, KS vs Averill park, NY
Population Overview
Compare main population characteristics in Everest, KS vs Averill park, NY.
| Data | Everest | Averill park |
|---|---|---|
| Population | 258 | 1,608 |
| Median Age | 34.5 years | 53.3 years |
| Median Income | $44,375 | $109,746 |
| Married Families | 50.0% | 50.0% |
| Poverty Level | 11% | 4% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Everest vs Averill park
- The population in Averill park is higher at 1,608, compared to 258 in Everest.
- The median age in Averill park is higher at 53.3 years, compared to 34.5 years in Everest.
- Averill park has a higher median income of $109,746, compared to $44,375 in Everest.
- The percentage of married families is the same in both Everest and Averill park at 50.0%.
- Everest has a higher poverty level at 11% compared to 4% in Averill park.
- The unemployment rate is the same in both Everest and Averill park at 3.5%.
Demographics
Demographics Everest vs Averill park provide insight into the diversity of the communities to compare.
| Demographic | Everest | Averill park |
|---|---|---|
| Black | 2 | Data is updating |
| White | 90 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Everest vs Averill park
- A higher percentage of Black residents are in Everest at 2% compared to 0% in Averill park.
- The percentage of White residents is higher in Averill park at 100% compared to 90% in Everest.
- Both Everest and Averill park have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Everest and Averill park at 0%.
- More residents identify as two or more races in Everest at 6% compared to 0% in Averill park.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in Averill park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | Averill park |
|---|---|---|
| Mental Health Not Good | 17.3% | 14.6% |
| Physical Health Not Good | 11.2% | 9.1% |
| Depression | 22.4% | 23.7% |
| Smoking | 20.4% | 15.9% |
| Binge Drinking | 19.1% | 21.5% |
| Obesity | 37.8% | 34.6% |
| Disability Percentage | 50.0% | 14.0% |
Health Statistics Comparison: Everest vs Averill park
- More residents in Everest report poor mental health at 17.3% compared to 14.6% in Averill park.
- Higher depression rates are seen in Averill park at 23.7% versus 22.4% in Everest.
- Smoking is more prevalent in Everest at 20.4% compared to 15.9% in Averill park.
- More residents engage in binge drinking in Averill park at 21.5% compared to 19.1% in Everest.
- Obesity rates are higher in Everest at 37.8% compared to 34.6% in Averill park.
- Disability percentages are higher in Everest at 50.0% compared to 14.0% in Averill park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | Averill park |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 26.4% (68) | 22.0% (354) |
| Less than High School | 17.8% (46) | 3.7% (60) |
| Bachelor's Degree and Higher | 36.8% (95) | 32.3% (520) |
Education Levels Comparison: Everest vs Averill park
- The percentage of residents with no formal schooling is the same in both Everest and Averill park at 0.0%.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 22.0% in Averill park.
- More residents in Everest have less than a high school education at 17.8% compared to 3.7% in Averill park.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 32.3% in Averill park.
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.