Demographics details for Dellroy, OH vs Everest, KS
Population Overview
Compare main population characteristics in Dellroy, OH vs Everest, KS.
| Data | Dellroy | Everest |
|---|---|---|
| Population | 264 | 258 |
| Median Age | 47.3 years | 34.5 years |
| Median Income | $52,833 | $44,375 |
| Married Families | 50.0% | 50.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Dellroy vs Everest
- In Dellroy, the population is higher at 264, compared to 258 in Everest.
- Residents in Dellroy have a higher median age of 47.3 years compared to 34.5 years in Everest.
- Dellroy has a higher median income of $52,833 compared to $44,375 in Everest.
- The percentage of married families is the same in both Dellroy and Everest at 50.0%.
- The poverty level is higher in Everest at 11%, compared to 8% in Dellroy.
- The unemployment rate in Dellroy is higher at 4.5%, compared to 3.5% in Everest.
Demographics
Demographics Dellroy vs Everest provide insight into the diversity of the communities to compare.
| Demographic | Dellroy | Everest |
|---|---|---|
| Black | Data is updating | 2 |
| White | 89 | 90 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Dellroy vs Everest
- In Everest, the percentage of Black residents is higher at 2% compared to 0% in Dellroy.
- The percentage of White residents is higher in Everest at 90% compared to 89% in Dellroy.
- Both Dellroy and Everest have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Dellroy at 5% compared to 0% in Everest.
- Both Dellroy and Everest have the same percentage of residents identifying as two or more races at 6%.
- In Everest, the percentage of American Indian residents is higher at 2%, compared to 0% in Dellroy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dellroy | Everest |
|---|---|---|
| Mental Health Not Good | 17.6% | 17.3% |
| Physical Health Not Good | 11.8% | 11.2% |
| Depression | 24.2% | 22.4% |
| Smoking | 22.1% | 20.4% |
| Binge Drinking | 18.6% | 19.1% |
| Obesity | 38.1% | 37.8% |
| Disability Percentage | 21.0% | 50.0% |
Health Statistics Comparison: Dellroy vs Everest
- More residents in Dellroy report poor mental health at 17.6% compared to 17.3% in Everest.
- Depression is more prevalent in Dellroy at 24.2% compared to 22.4% in Everest.
- Smoking is more prevalent in Dellroy at 22.1% compared to 20.4% in Everest.
- More residents engage in binge drinking in Everest at 19.1% compared to 18.6% in Dellroy.
- Obesity rates are higher in Dellroy at 38.1% compared to 37.8% in Everest.
- There is a higher percentage of disabled individuals in Everest at 50.0% compared to 21.0% in Dellroy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dellroy | Everest |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 36.0% (95) | 26.4% (68) |
| Less than High School | 24.2% (64) | 17.8% (46) |
| Bachelor's Degree and Higher | 4.5% (12) | 36.8% (95) |
Education Levels Comparison: Dellroy vs Everest
- The percentage of residents with no formal schooling is the same in both Dellroy and Everest at 0.0%.
- A higher percentage of residents in Dellroy hold a high school diploma at 36.0% compared to 26.4% in Everest.
- More residents in Dellroy have less than a high school education at 24.2% 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 4.5% in Dellroy.
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.