Demographics details for Waterloo, AL vs Enon valley, PA
Population Overview
Compare main population characteristics in Waterloo, AL vs Enon valley, PA.
| Data | Waterloo | Enon valley |
|---|---|---|
| Population | 183 | 295 |
| Median Age | 59.0 years | 41.7 years |
| Median Income | $38,750 | $56,875 |
| Married Families | 29.0% | 50.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.5 | Data is updating |
Population Comparison: Waterloo vs Enon valley
- The population in Enon valley is higher at 295, compared to 183 in Waterloo.
- Residents in Waterloo have a higher median age of 59.0 years compared to 41.7 years in Enon valley.
- Enon valley has a higher median income of $56,875, compared to $38,750 in Waterloo.
- In Enon valley, the percentage of married families is higher at 50.0%, compared to 29.0% in Waterloo.
- Waterloo has a higher poverty level at 13% compared to 0% in Enon valley.
- The unemployment rate in Waterloo is higher at 3.5%, compared to 0.0% in Enon valley.
Demographics
Demographics Waterloo vs Enon valley provide insight into the diversity of the communities to compare.
| Demographic | Waterloo | Enon valley |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 97 | 74 |
| Asian | Data is updating | 6 |
| Hispanic | 2 | Data is updating |
| Two or More Races | 1 | 20 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterloo vs Enon valley
- The percentage of Black residents is the same in both Waterloo and Enon valley at 0%.
- Waterloo has a higher percentage of White residents at 97% compared to 74% in Enon valley.
- In Enon valley, the Asian population stands at 6%, greater than 0% in Waterloo.
- The Hispanic community is larger in Waterloo at 2% compared to 0% in Enon valley.
- The percentage of residents identifying as two or more races is higher in Enon valley at 20%, compared to 1% in Waterloo.
- The percentage of American Indian residents is the same in both Waterloo and Enon valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterloo | Enon valley |
|---|---|---|
| Mental Health Not Good | 20.9% | 17.0% |
| Physical Health Not Good | 14.3% | 11.4% |
| Depression | 27.6% | 23.6% |
| Smoking | 23.1% | 19.6% |
| Binge Drinking | 15.9% | 20.0% |
| Obesity | 38.8% | 35.1% |
| Disability Percentage | 21.0% | 15.0% |
Health Statistics Comparison: Waterloo vs Enon valley
- More residents in Waterloo report poor mental health at 20.9% compared to 17.0% in Enon valley.
- Depression is more prevalent in Waterloo at 27.6% compared to 23.6% in Enon valley.
- Smoking is more prevalent in Waterloo at 23.1% compared to 19.6% in Enon valley.
- More residents engage in binge drinking in Enon valley at 20.0% compared to 15.9% in Waterloo.
- Obesity rates are higher in Waterloo at 38.8% compared to 35.1% in Enon valley.
- Disability percentages are higher in Waterloo at 21.0% compared to 15.0% in Enon valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterloo | Enon valley |
|---|---|---|
| No Schooling | 0.5% (1) | 0.0% (Data is updating) |
| High School Diploma | 10.4% (19) | 21.4% (63) |
| Less than High School | 23.0% (42) | 8.5% (25) |
| Bachelor's Degree and Higher | 4.9% (9) | 14.2% (42) |
Education Levels Comparison: Waterloo vs Enon valley
- A higher percentage of residents in Waterloo have no formal schooling at 0.5% compared to 0.0% in Enon valley.
- In Enon valley, the rate of residents with high school diplomas is higher at 21.4% compared to 10.4% in Waterloo.
- More residents in Waterloo have less than a high school education at 23.0% compared to 8.5% in Enon valley.
- In Enon valley, a larger share of residents have a bachelor's degree or higher at 14.2% compared to 4.9% in Waterloo.
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.