Demographics details for Waterproof, LA vs Mercer, WI
Population Overview
Compare main population characteristics in Waterproof, LA vs Mercer, WI.
| Data | Waterproof | Mercer |
|---|---|---|
| Population | 499 | 1,732 |
| Median Age | 37.0 years | 55.0 years |
| Median Income | $21,953 | $50,000 |
| Married Families | 9.0% | 35.0% |
| Poverty Level | 30% | 10% |
| Unemployment Rate | 5.0 | 5.0 |
Population Comparison: Waterproof vs Mercer
- The population in Mercer is higher at 1,732, compared to 499 in Waterproof.
- The median age in Mercer is higher at 55.0 years, compared to 37.0 years in Waterproof.
- Mercer has a higher median income of $50,000, compared to $21,953 in Waterproof.
- In Mercer, the percentage of married families is higher at 35.0%, compared to 9.0% in Waterproof.
- Waterproof has a higher poverty level at 30% compared to 10% in Mercer.
- The unemployment rate is the same in both Waterproof and Mercer at 5.0%.
Demographics
Demographics Waterproof vs Mercer provide insight into the diversity of the communities to compare.
| Demographic | Waterproof | Mercer |
|---|---|---|
| Black | 103 | Data is updating |
| White | -12 | 97 |
| Asian | 7 | 1 |
| Hispanic | Data is updating | 1 |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterproof vs Mercer
- A higher percentage of Black residents are in Waterproof at 103% compared to 0% in Mercer.
- The percentage of White residents is higher in Mercer at 97% compared to -12% in Waterproof.
- The Asian population is larger in Waterproof at 7% compared to 1% in Mercer.
- Mercer has a higher percentage of Hispanic residents at 1%, compared to 0% in Waterproof.
- More residents identify as two or more races in Waterproof at 2% compared to 1% in Mercer.
- The percentage of American Indian residents is the same in both Waterproof and Mercer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterproof | Mercer |
|---|---|---|
| Mental Health Not Good | 24.5% | Data is updating% |
| Physical Health Not Good | 20.0% | Data is updating% |
| Depression | 25.1% | Data is updating% |
| Smoking | 33.7% | Data is updating% |
| Binge Drinking | 11.8% | Data is updating% |
| Obesity | 53.1% | Data is updating% |
| Disability Percentage | 22.0% | Data is updating% |
Health Statistics Comparison: Waterproof vs Mercer
- More residents in Waterproof report poor mental health at 24.5% compared to 0.0% in Mercer.
- Depression is more prevalent in Waterproof at 25.1% compared to 0.0% in Mercer.
- Smoking is more prevalent in Waterproof at 33.7% compared to 0.0% in Mercer.
- Binge drinking is more common in Waterproof at 11.8% compared to 0.0% in Mercer.
- Obesity rates are higher in Waterproof at 53.1% compared to 0.0% in Mercer.
- Disability percentages are higher in Waterproof at 22.0% compared to 0.0% in Mercer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterproof | Mercer |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 27.7% (138) | 0.0% (Data is updating) |
| Less than High School | 10.6% (53) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.8% (64) | 0.0% (Data is updating) |
Education Levels Comparison: Waterproof vs Mercer
- The percentage of residents with no formal schooling is the same in both Waterproof and Mercer at 0.0%.
- A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 0.0% in Mercer.
- More residents in Waterproof have less than a high school education at 10.6% compared to 0.0% in Mercer.
- A higher percentage of residents in Waterproof hold a bachelor's degree or higher at 12.8% compared to 0.0% in Mercer.
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.