Demographics details for Everest, KS vs New tripoli, PA
Population Overview
Compare main population characteristics in Everest, KS vs New tripoli, PA.
| Data | Everest | New tripoli |
|---|---|---|
| Population | 258 | 898 |
| Median Age | 34.5 years | 42.0 years |
| Median Income | $44,375 | $80,000 |
| Married Families | 50.0% | 60.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Everest vs New tripoli
- The population in New tripoli is higher at 898, compared to 258 in Everest.
- The median age in New tripoli is higher at 42.0 years, compared to 34.5 years in Everest.
- New tripoli has a higher median income of $80,000, compared to $44,375 in Everest.
- In New tripoli, the percentage of married families is higher at 60.0%, compared to 50.0% in Everest.
- Everest has a higher poverty level at 11% compared to 5% in New tripoli.
- The unemployment rate is the same in both Everest and New tripoli at 3.5%.
Demographics
Demographics Everest vs New tripoli provide insight into the diversity of the communities to compare.
| Demographic | Everest | New tripoli |
|---|---|---|
| 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 New tripoli
- A higher percentage of Black residents are in Everest at 2% compared to 0% in New tripoli.
- The percentage of White residents is higher in New tripoli at 100% compared to 90% in Everest.
- Both Everest and New tripoli have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Everest and New tripoli at 0%.
- More residents identify as two or more races in Everest at 6% compared to 0% in New tripoli.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in New tripoli.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | New tripoli |
|---|---|---|
| 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 New tripoli
- More residents in Everest report poor mental health at 17.3% compared to 0.0% in New tripoli.
- Depression is more prevalent in Everest at 22.4% compared to 0.0% in New tripoli.
- Smoking is more prevalent in Everest at 20.4% compared to 0.0% in New tripoli.
- Binge drinking is more common in Everest at 19.1% compared to 0.0% in New tripoli.
- Obesity rates are higher in Everest at 37.8% compared to 0.0% in New tripoli.
- Disability percentages are higher in Everest at 50.0% compared to 0.0% in New tripoli.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | New tripoli |
|---|---|---|
| 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 New tripoli
- The percentage of residents with no formal schooling is the same in both Everest and New tripoli at 0.0%.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 0.0% in New tripoli.
- More residents in Everest have less than a high school education at 17.8% compared to 0.0% in New tripoli.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 0.0% in New tripoli.
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.