Demographics details for Everest, KS vs Loves park, IL
Population Overview
Compare main population characteristics in Everest, KS vs Loves park, IL.
| Data | Everest | Loves park |
|---|---|---|
| Population | 258 | 23,365 |
| Median Age | 34.5 years | 36.6 years |
| Median Income | $44,375 | $56,370 |
| Married Families | 50.0% | 35.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Everest vs Loves park
- The population in Loves park is higher at 23,365, compared to 258 in Everest.
- The median age in Loves park is higher at 36.6 years, compared to 34.5 years in Everest.
- Loves park has a higher median income of $56,370, compared to $44,375 in Everest.
- A higher percentage of married families is found in Everest at 50.0% compared to 35.0% in Loves park.
- Everest has a higher poverty level at 11% compared to 9% in Loves park.
- Loves park has a higher unemployment rate at 3.6% compared to 3.5% in Everest.
Demographics
Demographics Everest vs Loves park provide insight into the diversity of the communities to compare.
| Demographic | Everest | Loves park |
|---|---|---|
| Black | 2 | 7 |
| White | 90 | 71 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 10 |
| Two or More Races | 6 | 9 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Everest vs Loves park
- In Loves park, the percentage of Black residents is higher at 7% compared to 2% in Everest.
- Everest has a higher percentage of White residents at 90% compared to 71% in Loves park.
- In Loves park, the Asian population stands at 3%, greater than 0% in Everest.
- Loves park has a higher percentage of Hispanic residents at 10%, compared to 0% in Everest.
- The percentage of residents identifying as two or more races is higher in Loves park at 9%, compared to 6% in Everest.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in Loves park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | Loves park |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.3% |
| Physical Health Not Good | 11.2% | 11.3% |
| Depression | 22.4% | 21.3% |
| Smoking | 20.4% | 17.0% |
| Binge Drinking | 19.1% | 17.0% |
| Obesity | 37.8% | 39.4% |
| Disability Percentage | 50.0% | 14.0% |
Health Statistics Comparison: Everest vs Loves park
- More residents in Everest report poor mental health at 17.3% compared to 16.3% in Loves park.
- Depression is more prevalent in Everest at 22.4% compared to 21.3% in Loves park.
- Smoking is more prevalent in Everest at 20.4% compared to 17.0% in Loves park.
- Binge drinking is more common in Everest at 19.1% compared to 17.0% in Loves park.
- Loves park has higher obesity rates at 39.4% compared to 37.8% in Everest.
- Disability percentages are higher in Everest at 50.0% compared to 14.0% in Loves park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | Loves park |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (97) |
| High School Diploma | 26.4% (68) | 17.1% (3,994) |
| Less than High School | 17.8% (46) | 9.7% (2,262) |
| Bachelor's Degree and Higher | 36.8% (95) | 17.4% (4,064) |
Education Levels Comparison: Everest vs Loves park
- In Loves park, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Everest.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 17.1% in Loves park.
- More residents in Everest have less than a high school education at 17.8% compared to 9.7% in Loves park.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 17.4% in Loves 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.