Demographics details for Bolivar, TN vs Everest, KS
Population Overview
Compare main population characteristics in Bolivar, TN vs Everest, KS.
| Data | Bolivar | Everest |
|---|---|---|
| Population | 5,194 | 258 |
| Median Age | 39.9 years | 34.5 years |
| Median Income | $36,348 | $44,375 |
| Married Families | 31.0% | 50.0% |
| Poverty Level | 22% | 11% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Bolivar vs Everest
- In Bolivar, the population is higher at 5,194, compared to 258 in Everest.
- Residents in Bolivar have a higher median age of 39.9 years compared to 34.5 years in Everest.
- Everest has a higher median income of $44,375, compared to $36,348 in Bolivar.
- In Everest, the percentage of married families is higher at 50.0%, compared to 31.0% in Bolivar.
- Bolivar has a higher poverty level at 22% compared to 11% in Everest.
- The unemployment rate is the same in both Bolivar and Everest at 3.5%.
Demographics
Demographics Bolivar vs Everest provide insight into the diversity of the communities to compare.
| Demographic | Bolivar | Everest |
|---|---|---|
| Black | 62 | 2 |
| White | 30 | 90 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 5 | 6 |
| American Indian | 2 | 2 |
Demographics Comparison: Bolivar vs Everest
- A higher percentage of Black residents are in Bolivar at 62% compared to 2% in Everest.
- The percentage of White residents is higher in Everest at 90% compared to 30% in Bolivar.
- Both Bolivar and Everest have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bolivar at 1% compared to 0% in Everest.
- The percentage of residents identifying as two or more races is higher in Everest at 6%, compared to 5% in Bolivar.
- The percentage of American Indian residents is the same in both Bolivar and Everest at 2%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bolivar | Everest |
|---|---|---|
| Mental Health Not Good | 21.0% | 17.3% |
| Physical Health Not Good | 15.8% | 11.2% |
| Depression | 25.2% | 22.4% |
| Smoking | 26.1% | 20.4% |
| Binge Drinking | 11.7% | 19.1% |
| Obesity | 42.7% | 37.8% |
| Disability Percentage | 27.0% | 50.0% |
Health Statistics Comparison: Bolivar vs Everest
- More residents in Bolivar report poor mental health at 21.0% compared to 17.3% in Everest.
- Depression is more prevalent in Bolivar at 25.2% compared to 22.4% in Everest.
- Smoking is more prevalent in Bolivar at 26.1% compared to 20.4% in Everest.
- More residents engage in binge drinking in Everest at 19.1% compared to 11.7% in Bolivar.
- Obesity rates are higher in Bolivar at 42.7% compared to 37.8% in Everest.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 27.0% in Bolivar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bolivar | Everest |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 23.8% (1,238) | 26.4% (68) |
| Less than High School | 15.1% (786) | 17.8% (46) |
| Bachelor's Degree and Higher | 7.7% (398) | 36.8% (95) |
Education Levels Comparison: Bolivar vs Everest
- The percentage of residents with no formal schooling is the same in both Bolivar and Everest at 0.0%.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 23.8% in Bolivar.
- The percentage of residents with less than a high school education is higher in Everest at 17.8%, compared to 15.1% in Bolivar.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 7.7% in Bolivar.
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.