Demographics details for Waterproof, LA vs Jefferson, OR
Population Overview
Compare main population characteristics in Waterproof, LA vs Jefferson, OR.
| Data | Waterproof | Jefferson |
|---|---|---|
| Population | 499 | 3,304 |
| Median Age | 37.0 years | 31.7 years |
| Median Income | $21,953 | $87,604 |
| Married Families | 9.0% | 39.0% |
| Poverty Level | 30% | 10% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Waterproof vs Jefferson
- The population in Jefferson is higher at 3,304, compared to 499 in Waterproof.
- Residents in Waterproof have a higher median age of 37.0 years compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604, compared to $21,953 in Waterproof.
- In Jefferson, the percentage of married families is higher at 39.0%, compared to 9.0% in Waterproof.
- Waterproof has a higher poverty level at 30% compared to 10% in Jefferson.
- The unemployment rate in Waterproof is higher at 5.0%, compared to 3.5% in Jefferson.
Demographics
Demographics Waterproof vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Waterproof | Jefferson |
|---|---|---|
| Black | 103 | 2 |
| White | -12 | 67 |
| Asian | 7 | Data is updating |
| Hispanic | Data is updating | 20 |
| Two or More Races | 2 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterproof vs Jefferson
- A higher percentage of Black residents are in Waterproof at 103% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 67% compared to -12% in Waterproof.
- The Asian population is larger in Waterproof at 7% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 20%, compared to 0% in Waterproof.
- The percentage of residents identifying as two or more races is higher in Jefferson at 10%, compared to 2% in Waterproof.
- In Jefferson, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterproof.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterproof | Jefferson |
|---|---|---|
| Mental Health Not Good | 24.5% | 18.4% |
| Physical Health Not Good | 20.0% | 12.0% |
| Depression | 25.1% | 28.9% |
| Smoking | 33.7% | 16.5% |
| Binge Drinking | 11.8% | 16.4% |
| Obesity | 53.1% | 36.5% |
| Disability Percentage | 22.0% | 13.0% |
Health Statistics Comparison: Waterproof vs Jefferson
- More residents in Waterproof report poor mental health at 24.5% compared to 18.4% in Jefferson.
- Higher depression rates are seen in Jefferson at 28.9% versus 25.1% in Waterproof.
- Smoking is more prevalent in Waterproof at 33.7% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 16.4% compared to 11.8% in Waterproof.
- Obesity rates are higher in Waterproof at 53.1% compared to 36.5% in Jefferson.
- Disability percentages are higher in Waterproof at 22.0% compared to 13.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterproof | Jefferson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.4% (78) |
| High School Diploma | 27.7% (138) | 13.0% (430) |
| Less than High School | 10.6% (53) | 13.9% (458) |
| Bachelor's Degree and Higher | 12.8% (64) | 11.0% (363) |
Education Levels Comparison: Waterproof vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Waterproof.
- A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 13.0% in Jefferson.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.9%, compared to 10.6% in Waterproof.
- A higher percentage of residents in Waterproof hold a bachelor's degree or higher at 12.8% compared to 11.0% in Jefferson.
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.