Demographics details for Loretto, KY vs Eglon, WV
Population Overview
Compare main population characteristics in Loretto, KY vs Eglon, WV.
| Data | Loretto | Eglon |
|---|---|---|
| Population | 716 | 100 |
| Median Age | 44.8 years | 45.0 years |
| Median Income | $49,688 | $60,000 |
| Married Families | 38.0% | 70.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Loretto vs Eglon
- In Loretto, the population is higher at 716, compared to 100 in Eglon.
- The median age in Eglon is higher at 45.0 years, compared to 44.8 years in Loretto.
- Eglon has a higher median income of $60,000, compared to $49,688 in Loretto.
- In Eglon, the percentage of married families is higher at 70.0%, compared to 38.0% in Loretto.
- The poverty level is identical in both Loretto and Eglon at 10%.
- Eglon has a higher unemployment rate at 5.0% compared to 3.5% in Loretto.
Demographics
Demographics Loretto vs Eglon provide insight into the diversity of the communities to compare.
| Demographic | Loretto | Eglon |
|---|---|---|
| Black | 1 | Data is updating |
| White | 99 | 95 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 1 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Loretto vs Eglon
- A higher percentage of Black residents are in Loretto at 1% compared to 0% in Eglon.
- Loretto has a higher percentage of White residents at 99% compared to 95% in Eglon.
- In Eglon, the Asian population stands at 2%, greater than 0% in Loretto.
- Eglon has a higher percentage of Hispanic residents at 1%, compared to 0% in Loretto.
- The percentage of residents identifying as two or more races is higher in Eglon at 2%, compared to 0% in Loretto.
- The percentage of American Indian residents is the same in both Loretto and Eglon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Loretto | Eglon |
|---|---|---|
| Mental Health Not Good | 19.9% | Data is updating% |
| Physical Health Not Good | 14.6% | Data is updating% |
| Depression | 28.6% | Data is updating% |
| Smoking | 24.3% | Data is updating% |
| Binge Drinking | 15.4% | Data is updating% |
| Obesity | 39.3% | Data is updating% |
| Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Loretto vs Eglon
- More residents in Loretto report poor mental health at 19.9% compared to 0.0% in Eglon.
- Depression is more prevalent in Loretto at 28.6% compared to 0.0% in Eglon.
- Smoking is more prevalent in Loretto at 24.3% compared to 0.0% in Eglon.
- Binge drinking is more common in Loretto at 15.4% compared to 0.0% in Eglon.
- Obesity rates are higher in Loretto at 39.3% compared to 0.0% in Eglon.
- Disability percentages are higher in Loretto at 15.0% 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 | Loretto | Eglon |
|---|---|---|
| No Schooling | 3.4% (24) | 0.0% (Data is updating) |
| High School Diploma | 27.2% (195) | 0.0% (Data is updating) |
| Less than High School | 23.2% (166) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 5.4% (39) | 0.0% (Data is updating) |
Education Levels Comparison: Loretto vs Eglon
- A higher percentage of residents in Loretto have no formal schooling at 3.4% compared to 0.0% in Eglon.
- A higher percentage of residents in Loretto hold a high school diploma at 27.2% compared to 0.0% in Eglon.
- More residents in Loretto have less than a high school education at 23.2% compared to 0.0% in Eglon.
- A higher percentage of residents in Loretto hold a bachelor's degree or higher at 5.4% 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.