Demographics details for Everest, KS vs South holland, IL
Population Overview
Compare main population characteristics in Everest, KS vs South holland, IL.
| Data | Everest | South holland |
|---|---|---|
| Population | 258 | 20,685 |
| Median Age | 34.5 years | 42.6 years |
| Median Income | $44,375 | $79,567 |
| Married Families | 50.0% | 34.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Everest vs South holland
- The population in South holland is higher at 20,685, compared to 258 in Everest.
- The median age in South holland is higher at 42.6 years, compared to 34.5 years in Everest.
- South holland has a higher median income of $79,567, compared to $44,375 in Everest.
- A higher percentage of married families is found in Everest at 50.0% compared to 34.0% in South holland.
- Everest has a higher poverty level at 11% compared to 10% in South holland.
- South holland has a higher unemployment rate at 5.2% compared to 3.5% in Everest.
Demographics
Demographics Everest vs South holland provide insight into the diversity of the communities to compare.
| Demographic | Everest | South holland |
|---|---|---|
| Black | 2 | 83 |
| White | 90 | 8 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 6 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Everest vs South holland
- In South holland, the percentage of Black residents is higher at 83% compared to 2% in Everest.
- Everest has a higher percentage of White residents at 90% compared to 8% in South holland.
- In South holland, the Asian population stands at 1%, greater than 0% in Everest.
- South holland has a higher percentage of Hispanic residents at 5%, compared to 0% in Everest.
- More residents identify as two or more races in Everest at 6% compared to 3% in South holland.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in South holland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | South holland |
|---|---|---|
| Mental Health Not Good | 17.3% | 14.8% |
| Physical Health Not Good | 11.2% | 10.9% |
| Depression | 22.4% | 15.1% |
| Smoking | 20.4% | 15.3% |
| Binge Drinking | 19.1% | 15.6% |
| Obesity | 37.8% | 37.3% |
| Disability Percentage | 50.0% | 13.0% |
Health Statistics Comparison: Everest vs South holland
- More residents in Everest report poor mental health at 17.3% compared to 14.8% in South holland.
- Depression is more prevalent in Everest at 22.4% compared to 15.1% in South holland.
- Smoking is more prevalent in Everest at 20.4% compared to 15.3% in South holland.
- Binge drinking is more common in Everest at 19.1% compared to 15.6% in South holland.
- Obesity rates are higher in Everest at 37.8% compared to 37.3% in South holland.
- Disability percentages are higher in Everest at 50.0% compared to 13.0% in South holland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | South holland |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (94) |
| High School Diploma | 26.4% (68) | 15.5% (3,210) |
| Less than High School | 17.8% (46) | 7.8% (1,623) |
| Bachelor's Degree and Higher | 36.8% (95) | 20.0% (4,142) |
Education Levels Comparison: Everest vs South holland
- In South holland, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Everest.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 15.5% in South holland.
- More residents in Everest have less than a high school education at 17.8% compared to 7.8% in South holland.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 20.0% in South holland.
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.