Demographics details for Waterford, CT vs Eglon, WV
Population Overview
Compare main population characteristics in Waterford, CT vs Eglon, WV.
Data | Waterford | Eglon |
---|---|---|
Population | 3,276 | 100 |
Median Age | 45.2 years | 45.0 years |
Median Income | $74,701 | $60,000 |
Married Families | 34.0% | 70.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 3.7 | 5.0 |
Population Comparison: Waterford vs Eglon
- In Waterford, the population is higher at 3,276, compared to 100 in Eglon.
- Residents in Waterford have a higher median age of 45.2 years compared to 45.0 years in Eglon.
- Waterford has a higher median income of $74,701 compared to $60,000 in Eglon.
- In Eglon, the percentage of married families is higher at 70.0%, compared to 34.0% in Waterford.
- The poverty level is higher in Eglon at 10%, compared to 5% in Waterford.
- Eglon has a higher unemployment rate at 5.0% compared to 3.7% in Waterford.
Demographics
Demographics Waterford vs Eglon provide insight into the diversity of the communities to compare.
Demographic | Waterford | Eglon |
---|---|---|
Black | 4 | Data is updating |
White | 80 | 95 |
Asian | 5 | 2 |
Hispanic | 5 | 1 |
Two or More Races | 6 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterford vs Eglon
- A higher percentage of Black residents are in Waterford at 4% compared to 0% in Eglon.
- The percentage of White residents is higher in Eglon at 95% compared to 80% in Waterford.
- The Asian population is larger in Waterford at 5% compared to 2% in Eglon.
- The Hispanic community is larger in Waterford at 5% compared to 1% in Eglon.
- More residents identify as two or more races in Waterford at 6% compared to 2% in Eglon.
- The percentage of American Indian residents is the same in both Waterford and Eglon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waterford | Eglon |
---|---|---|
Mental Health Not Good | 16.7% | Data is updating% |
Physical Health Not Good | 10.4% | Data is updating% |
Depression | 24.0% | Data is updating% |
Smoking | 17.5% | Data is updating% |
Binge Drinking | 17.2% | Data is updating% |
Obesity | 32.3% | Data is updating% |
Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Waterford vs Eglon
- More residents in Waterford report poor mental health at 16.7% compared to 0.0% in Eglon.
- Depression is more prevalent in Waterford at 24.0% compared to 0.0% in Eglon.
- Smoking is more prevalent in Waterford at 17.5% compared to 0.0% in Eglon.
- Binge drinking is more common in Waterford at 17.2% compared to 0.0% in Eglon.
- Obesity rates are higher in Waterford at 32.3% compared to 0.0% in Eglon.
- Disability percentages are higher in Waterford at 17.0% 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 | Waterford | Eglon |
---|---|---|
No Schooling | 0.5% (17) | 0.0% (Data is updating) |
High School Diploma | 22.6% (739) | 0.0% (Data is updating) |
Less than High School | 5.9% (193) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 17.8% (582) | 0.0% (Data is updating) |
Education Levels Comparison: Waterford vs Eglon
- A higher percentage of residents in Waterford have no formal schooling at 0.5% compared to 0.0% in Eglon.
- A higher percentage of residents in Waterford hold a high school diploma at 22.6% compared to 0.0% in Eglon.
- More residents in Waterford have less than a high school education at 5.9% compared to 0.0% in Eglon.
- A higher percentage of residents in Waterford hold a bachelor's degree or higher at 17.8% 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.