Demographics details for Everest, KS vs Bedford, VA
Population Overview
Compare main population characteristics in Everest, KS vs Bedford, VA.
| Data | Everest | Bedford |
|---|---|---|
| Population | 258 | 6,735 |
| Median Age | 34.5 years | 40.5 years |
| Median Income | $44,375 | $41,154 |
| Married Families | 50.0% | 32.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Everest vs Bedford
- The population in Bedford is higher at 6,735, compared to 258 in Everest.
- The median age in Bedford is higher at 40.5 years, compared to 34.5 years in Everest.
- Everest has a higher median income of $44,375 compared to $41,154 in Bedford.
- A higher percentage of married families is found in Everest at 50.0% compared to 32.0% in Bedford.
- Everest has a higher poverty level at 11% compared to 10% in Bedford.
- The unemployment rate is the same in both Everest and Bedford at 3.5%.
Demographics
Demographics Everest vs Bedford provide insight into the diversity of the communities to compare.
| Demographic | Everest | Bedford |
|---|---|---|
| Black | 2 | 17 |
| White | 90 | 75 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 2 |
| Two or More Races | 6 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Everest vs Bedford
- In Bedford, the percentage of Black residents is higher at 17% compared to 2% in Everest.
- Everest has a higher percentage of White residents at 90% compared to 75% in Bedford.
- In Bedford, the Asian population stands at 3%, greater than 0% in Everest.
- Bedford has a higher percentage of Hispanic residents at 2%, compared to 0% in Everest.
- More residents identify as two or more races in Everest at 6% compared to 3% in Bedford.
- A greater percentage of American Indian residents live in Everest at 2% compared to 0% in Bedford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Everest | Bedford |
|---|---|---|
| Mental Health Not Good | 17.3% | 19.9% |
| Physical Health Not Good | 11.2% | 14.0% |
| Depression | 22.4% | 25.4% |
| Smoking | 20.4% | 21.9% |
| Binge Drinking | 19.1% | 15.7% |
| Obesity | 37.8% | 41.8% |
| Disability Percentage | 50.0% | 11.0% |
Health Statistics Comparison: Everest vs Bedford
- In Bedford, a higher percentage report poor mental health at 19.9% compared to 17.3% in Everest.
- Higher depression rates are seen in Bedford at 25.4% versus 22.4% in Everest.
- Bedford has a higher smoking rate at 21.9% compared to 20.4% in Everest.
- Binge drinking is more common in Everest at 19.1% compared to 15.7% in Bedford.
- Bedford has higher obesity rates at 41.8% compared to 37.8% in Everest.
- Disability percentages are higher in Everest at 50.0% compared to 11.0% in Bedford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Everest | Bedford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (87) |
| High School Diploma | 26.4% (68) | 22.5% (1,518) |
| Less than High School | 17.8% (46) | 19.7% (1,324) |
| Bachelor's Degree and Higher | 36.8% (95) | 13.5% (909) |
Education Levels Comparison: Everest vs Bedford
- In Bedford, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Everest.
- A higher percentage of residents in Everest hold a high school diploma at 26.4% compared to 22.5% in Bedford.
- The percentage of residents with less than a high school education is higher in Bedford at 19.7%, compared to 17.8% in Everest.
- A higher percentage of residents in Everest hold a bachelor's degree or higher at 36.8% compared to 13.5% in Bedford.
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.