Demographics details for Fort payne, AL vs Waterproof, LA
Population Overview
Compare main population characteristics in Fort payne, AL vs Waterproof, LA.
Data | Fort payne | Waterproof |
---|---|---|
Population | 14,879 | 499 |
Median Age | 39.7 years | 37.0 years |
Median Income | $44,549 | $21,953 |
Married Families | 38.0% | 9.0% |
Poverty Level | 11% | 30% |
Unemployment Rate | 2.5 | 5.0 |
Population Comparison: Fort payne vs Waterproof
- In Fort payne, the population is higher at 14,879, compared to 499 in Waterproof.
- Residents in Fort payne have a higher median age of 39.7 years compared to 37.0 years in Waterproof.
- Fort payne has a higher median income of $44,549 compared to $21,953 in Waterproof.
- A higher percentage of married families is found in Fort payne at 38.0% compared to 9.0% in Waterproof.
- The poverty level is higher in Waterproof at 30%, compared to 11% in Fort payne.
- Waterproof has a higher unemployment rate at 5.0% compared to 2.5% in Fort payne.
Demographics
Demographics Fort payne vs Waterproof provide insight into the diversity of the communities to compare.
Demographic | Fort payne | Waterproof |
---|---|---|
Black | 2 | 103 |
White | 72 | -12 |
Asian | Data is updating | 7 |
Hispanic | 20 | Data is updating |
Two or More Races | 4 | 2 |
American Indian | 2 | Data is updating |
Demographics Comparison: Fort payne vs Waterproof
- In Waterproof, the percentage of Black residents is higher at 103% compared to 2% in Fort payne.
- Fort payne has a higher percentage of White residents at 72% compared to -12% in Waterproof.
- In Waterproof, the Asian population stands at 7%, greater than 0% in Fort payne.
- The Hispanic community is larger in Fort payne at 20% compared to 0% in Waterproof.
- More residents identify as two or more races in Fort payne at 4% compared to 2% in Waterproof.
- A greater percentage of American Indian residents live in Fort payne at 2% compared to 0% in Waterproof.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fort payne | Waterproof |
---|---|---|
Mental Health Not Good | 21.2% | 24.5% |
Physical Health Not Good | 16.1% | 20.0% |
Depression | 26.0% | 25.1% |
Smoking | 23.3% | 33.7% |
Binge Drinking | 14.3% | 11.8% |
Obesity | 41.8% | 53.1% |
Disability Percentage | 13.0% | 22.0% |
Health Statistics Comparison: Fort payne vs Waterproof
- In Waterproof, a higher percentage report poor mental health at 24.5% compared to 21.2% in Fort payne.
- Depression is more prevalent in Fort payne at 26.0% compared to 25.1% in Waterproof.
- Waterproof has a higher smoking rate at 33.7% compared to 23.3% in Fort payne.
- Binge drinking is more common in Fort payne at 14.3% compared to 11.8% in Waterproof.
- Waterproof has higher obesity rates at 53.1% compared to 41.8% in Fort payne.
- There is a higher percentage of disabled individuals in Waterproof at 22.0% compared to 13.0% in Fort payne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fort payne | Waterproof |
---|---|---|
No Schooling | 2.7% (402) | 0.0% (Data is updating) |
High School Diploma | 14.2% (2,110) | 27.7% (138) |
Less than High School | 27.9% (4,155) | 10.6% (53) |
Bachelor's Degree and Higher | 11.9% (1,767) | 12.8% (64) |
Education Levels Comparison: Fort payne vs Waterproof
- A higher percentage of residents in Fort payne have no formal schooling at 2.7% compared to 0.0% in Waterproof.
- In Waterproof, the rate of residents with high school diplomas is higher at 27.7% compared to 14.2% in Fort payne.
- More residents in Fort payne have less than a high school education at 27.9% compared to 10.6% in Waterproof.
- In Waterproof, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 11.9% in Fort payne.
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.