Demographics details for Eastman, GA vs Everest, KS
Population Overview
Compare main population characteristics in Eastman, GA vs Everest, KS.
| Data | Eastman | Everest |
|---|---|---|
| Population | 5,616 | 258 |
| Median Age | 38.5 years | 34.5 years |
| Median Income | $41,213 | $44,375 |
| Married Families | 32.0% | 50.0% |
| Poverty Level | 21% | 11% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Eastman vs Everest
- In Eastman, the population is higher at 5,616, compared to 258 in Everest.
- Residents in Eastman have a higher median age of 38.5 years compared to 34.5 years in Everest.
- Everest has a higher median income of $44,375, compared to $41,213 in Eastman.
- In Everest, the percentage of married families is higher at 50.0%, compared to 32.0% in Eastman.
- Eastman has a higher poverty level at 21% compared to 11% in Everest.
- The unemployment rate in Eastman is higher at 5.1%, compared to 3.5% in Everest.
Demographics
Demographics Eastman vs Everest provide insight into the diversity of the communities to compare.
| Demographic | Eastman | Everest |
|---|---|---|
| Black | 22 | 2 |
| White | 69 | 90 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Eastman vs Everest
- A higher percentage of Black residents are in Eastman at 22% compared to 2% in Everest.
- The percentage of White residents is higher in Everest at 90% compared to 69% in Eastman.
- Both Eastman and Everest have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Eastman at 8% compared to 0% in Everest.
- The percentage of residents identifying as two or more races is higher in Everest at 6%, compared to 1% in Eastman.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 0% in Eastman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eastman | Everest |
|---|---|---|
| Mental Health Not Good | 18.6% | 17.3% |
| Physical Health Not Good | 13.6% | 11.2% |
| Depression | 22.1% | 22.4% |
| Smoking | 21.0% | 20.4% |
| Binge Drinking | 14.7% | 19.1% |
| Obesity | 37.5% | 37.8% |
| Disability Percentage | 22.0% | 50.0% |
Health Statistics Comparison: Eastman vs Everest
- More residents in Eastman report poor mental health at 18.6% compared to 17.3% in Everest.
- Higher depression rates are seen in Everest at 22.4% versus 22.1% in Eastman.
- Smoking is more prevalent in Eastman at 21.0% compared to 20.4% in Everest.
- More residents engage in binge drinking in Everest at 19.1% compared to 14.7% in Eastman.
- Everest has higher obesity rates at 37.8% compared to 37.5% in Eastman.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 22.0% in Eastman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eastman | Everest |
|---|---|---|
| No Schooling | 0.8% (44) | 0.0% (Data is updating) |
| High School Diploma | 16.8% (942) | 26.4% (68) |
| Less than High School | 13.4% (750) | 17.8% (46) |
| Bachelor's Degree and Higher | 14.7% (824) | 36.8% (95) |
Education Levels Comparison: Eastman vs Everest
- A higher percentage of residents in Eastman have no formal schooling at 0.8% compared to 0.0% in Everest.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 16.8% in Eastman.
- The percentage of residents with less than a high school education is higher in Everest at 17.8%, compared to 13.4% in Eastman.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 14.7% in Eastman.
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.