Demographics details for Everest, KS vs Brooklyn, CT
Population Overview
Compare main population characteristics in Everest, KS vs Brooklyn, CT.
| Data | Everest | Brooklyn |
|---|---|---|
| Population | 258 | 8,244 |
| Median Age | 34.5 years | 41.5 years |
| Median Income | $44,375 | $80,945 |
| Married Families | 50.0% | Data is updating |
| Poverty Level | 11% | 6% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Everest vs Brooklyn
- The population in Brooklyn is higher at 8,244, compared to 258 in Everest.
- The median age in Brooklyn is higher at 41.5 years, compared to 34.5 years in Everest.
- Brooklyn has a higher median income of $80,945, compared to $44,375 in Everest.
- A higher percentage of married families is found in Everest at 50.0% compared to 0.0% in Brooklyn.
- Everest has a higher poverty level at 11% compared to 6% in Brooklyn.
- The unemployment rate in Everest is higher at 3.5%, compared to 2.5% in Brooklyn.
Demographics
Demographics Everest vs Brooklyn provide insight into the diversity of the communities to compare.
| Demographic | Everest | Brooklyn |
|---|---|---|
| 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 Brooklyn
- A higher percentage of Black residents are in Everest at 2% compared to 0% in Brooklyn.
- The percentage of White residents is higher in Brooklyn at 100% compared to 90% in Everest.
- Both Everest and Brooklyn have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Everest and Brooklyn at 0%.
- More residents identify as two or more races in Everest at 6% compared to 0% in Brooklyn.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in Brooklyn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | Brooklyn |
|---|---|---|
| Mental Health Not Good | 17.3% | Data is updating% |
| Physical Health Not Good | 11.2% | Data is updating% |
| Depression | 22.4% | Data is updating% |
| Smoking | 20.4% | Data is updating% |
| Binge Drinking | 19.1% | Data is updating% |
| Obesity | 37.8% | Data is updating% |
| Disability Percentage | 50.0% | Data is updating% |
Health Statistics Comparison: Everest vs Brooklyn
- More residents in Everest report poor mental health at 17.3% compared to 0.0% in Brooklyn.
- Depression is more prevalent in Everest at 22.4% compared to 0.0% in Brooklyn.
- Smoking is more prevalent in Everest at 20.4% compared to 0.0% in Brooklyn.
- Binge drinking is more common in Everest at 19.1% compared to 0.0% in Brooklyn.
- Obesity rates are higher in Everest at 37.8% compared to 0.0% in Brooklyn.
- Disability percentages are higher in Everest at 50.0% compared to 0.0% in Brooklyn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | Brooklyn |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 26.4% (68) | 0.0% (Data is updating) |
| Less than High School | 17.8% (46) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 36.8% (95) | 0.0% (Data is updating) |
Education Levels Comparison: Everest vs Brooklyn
- The percentage of residents with no formal schooling is the same in both Everest and Brooklyn at 0.0%.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 0.0% in Brooklyn.
- More residents in Everest have less than a high school education at 17.8% compared to 0.0% in Brooklyn.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 0.0% in Brooklyn.
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.