Demographics details for Felicity, OH vs Everest, KS
Population Overview
Compare main population characteristics in Felicity, OH vs Everest, KS.
| Data | Felicity | Everest |
|---|---|---|
| Population | 653 | 258 |
| Median Age | 39.5 years | 34.5 years |
| Median Income | $34,821 | $44,375 |
| Married Families | 26.0% | 50.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Felicity vs Everest
- In Felicity, the population is higher at 653, compared to 258 in Everest.
- Residents in Felicity have a higher median age of 39.5 years compared to 34.5 years in Everest.
- Everest has a higher median income of $44,375, compared to $34,821 in Felicity.
- In Everest, the percentage of married families is higher at 50.0%, compared to 26.0% in Felicity.
- The poverty level is higher in Everest at 11%, compared to 10% in Felicity.
- The unemployment rate in Felicity is higher at 4.5%, compared to 3.5% in Everest.
Demographics
Demographics Felicity vs Everest provide insight into the diversity of the communities to compare.
| Demographic | Felicity | Everest |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 90 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Felicity vs Everest
- In Everest, the percentage of Black residents is higher at 2% compared to 0% in Felicity.
- Felicity has a higher percentage of White residents at 100% compared to 90% in Everest.
- Both Felicity and Everest have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Felicity and Everest at 0%.
- The percentage of residents identifying as two or more races is higher in Everest at 6%, compared to 0% in Felicity.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 0% in Felicity.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Felicity | Everest |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.3% |
| Physical Health Not Good | 12.3% | 11.2% |
| Depression | 25.3% | 22.4% |
| Smoking | 22.8% | 20.4% |
| Binge Drinking | 19.8% | 19.1% |
| Obesity | 36.8% | 37.8% |
| Disability Percentage | 31.0% | 50.0% |
Health Statistics Comparison: Felicity vs Everest
- More residents in Felicity report poor mental health at 18.3% compared to 17.3% in Everest.
- Depression is more prevalent in Felicity at 25.3% compared to 22.4% in Everest.
- Smoking is more prevalent in Felicity at 22.8% compared to 20.4% in Everest.
- Binge drinking is more common in Felicity at 19.8% compared to 19.1% in Everest.
- Everest has higher obesity rates at 37.8% compared to 36.8% in Felicity.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 31.0% in Felicity.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Felicity | Everest |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 18.2% (119) | 26.4% (68) |
| Less than High School | 25.7% (168) | 17.8% (46) |
| Bachelor's Degree and Higher | 3.5% (23) | 36.8% (95) |
Education Levels Comparison: Felicity vs Everest
- The percentage of residents with no formal schooling is the same in both Felicity and Everest at 0.0%.
- In Everest, the rate of residents with high school diplomas is higher at 26.4% compared to 18.2% in Felicity.
- More residents in Felicity have less than a high school education at 25.7% compared to 17.8% in Everest.
- In Everest, a larger share of residents have a bachelor's degree or higher at 36.8% compared to 3.5% in Felicity.
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.