Demographics details for Eglon, WV vs Rich hill, MO
Population Overview
Compare main population characteristics in Eglon, WV vs Rich hill, MO.
| Data | Eglon | Rich hill |
|---|---|---|
| Population | 100 | 1,244 |
| Median Age | 45.0 years | 41.5 years |
| Median Income | $60,000 | $43,205 |
| Married Families | 70.0% | 48.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 5.0 | 4.8 |
Population Comparison: Eglon vs Rich hill
- The population in Rich hill is higher at 1,244, compared to 100 in Eglon.
- Residents in Eglon have a higher median age of 45.0 years compared to 41.5 years in Rich hill.
- Eglon has a higher median income of $60,000 compared to $43,205 in Rich hill.
- A higher percentage of married families is found in Eglon at 70.0% compared to 48.0% in Rich hill.
- The poverty level is higher in Rich hill at 12%, compared to 10% in Eglon.
- The unemployment rate in Eglon is higher at 5.0%, compared to 4.8% in Rich hill.
Demographics
Demographics Eglon vs Rich hill provide insight into the diversity of the communities to compare.
| Demographic | Eglon | Rich hill |
|---|---|---|
| Black | Data is updating | 1 |
| White | 95 | 91 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Eglon vs Rich hill
- In Rich hill, the percentage of Black residents is higher at 1% compared to 0% in Eglon.
- Eglon has a higher percentage of White residents at 95% compared to 91% in Rich hill.
- The Asian population is larger in Eglon at 2% compared to 0% in Rich hill.
- Rich hill has a higher percentage of Hispanic residents at 2%, compared to 1% in Eglon.
- The percentage of residents identifying as two or more races is higher in Rich hill at 5%, compared to 2% in Eglon.
- In Rich hill, the percentage of American Indian residents is higher at 1%, compared to 0% in Eglon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Eglon | Rich hill |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.6% |
| Physical Health Not Good | Data is updating% | 14.5% |
| Depression | Data is updating% | 27.2% |
| Smoking | Data is updating% | 25.1% |
| Binge Drinking | Data is updating% | 16.8% |
| Obesity | Data is updating% | 41.0% |
| Disability Percentage | Data is updating% | 25.0% |
Health Statistics Comparison: Eglon vs Rich hill
- In Rich hill, a higher percentage report poor mental health at 19.6% compared to 0.0% in Eglon.
- Higher depression rates are seen in Rich hill at 27.2% versus 0.0% in Eglon.
- Rich hill has a higher smoking rate at 25.1% compared to 0.0% in Eglon.
- More residents engage in binge drinking in Rich hill at 16.8% compared to 0.0% in Eglon.
- Rich hill has higher obesity rates at 41.0% compared to 0.0% in Eglon.
- There is a higher percentage of disabled individuals in Rich hill at 25.0% compared to 0.0% in Eglon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Eglon | Rich hill |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (17) |
| High School Diploma | 0.0% (Data is updating) | 29.9% (372) |
| Less than High School | 0.0% (Data is updating) | 42.6% (530) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.4% (92) |
Education Levels Comparison: Eglon vs Rich hill
- In Rich hill, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Eglon.
- In Rich hill, the rate of residents with high school diplomas is higher at 29.9% compared to 0.0% in Eglon.
- The percentage of residents with less than a high school education is higher in Rich hill at 42.6%, compared to 0.0% in Eglon.
- In Rich hill, a larger share of residents have a bachelor's degree or higher at 7.4% compared to 0.0% in Eglon.
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.