Demographics details for Waterloo, AL vs Washington, IA
Population Overview
Compare main population characteristics in Waterloo, AL vs Washington, IA.
| Data | Waterloo | Washington |
|---|---|---|
| Population | 183 | 22,571 |
| Median Age | 59.0 years | 40.1 years |
| Median Income | $38,750 | $71,122 |
| Married Families | 29.0% | 46.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 3.5 | 2.2 |
Population Comparison: Waterloo vs Washington
- The population in Washington is higher at 22,571, compared to 183 in Waterloo.
- Residents in Waterloo have a higher median age of 59.0 years compared to 40.1 years in Washington.
- Washington has a higher median income of $71,122, compared to $38,750 in Waterloo.
- In Washington, the percentage of married families is higher at 46.0%, compared to 29.0% in Waterloo.
- Waterloo has a higher poverty level at 13% compared to 10% in Washington.
- The unemployment rate in Waterloo is higher at 3.5%, compared to 2.2% in Washington.
Demographics
Demographics Waterloo vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Waterloo | Washington |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 97 | 90 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 7 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterloo vs Washington
- The percentage of Black residents is the same in both Waterloo and Washington at 0%.
- Waterloo has a higher percentage of White residents at 97% compared to 90% in Washington.
- Both Waterloo and Washington have the same percentage of Asian residents at 0%.
- Washington has a higher percentage of Hispanic residents at 7%, compared to 2% in Waterloo.
- The percentage of residents identifying as two or more races is higher in Washington at 3%, compared to 1% in Waterloo.
- The percentage of American Indian residents is the same in both Waterloo and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterloo | Washington |
|---|---|---|
| Mental Health Not Good | 20.9% | 15.1% |
| Physical Health Not Good | 14.3% | 9.6% |
| Depression | 27.6% | 18.5% |
| Smoking | 23.1% | 16.4% |
| Binge Drinking | 15.9% | 20.1% |
| Obesity | 38.8% | 36.8% |
| Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Waterloo vs Washington
- More residents in Waterloo report poor mental health at 20.9% compared to 15.1% in Washington.
- Depression is more prevalent in Waterloo at 27.6% compared to 18.5% in Washington.
- Smoking is more prevalent in Waterloo at 23.1% compared to 16.4% in Washington.
- More residents engage in binge drinking in Washington at 20.1% compared to 15.9% in Waterloo.
- Obesity rates are higher in Waterloo at 38.8% compared to 36.8% in Washington.
- Disability percentages are higher in Waterloo at 21.0% compared to 12.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterloo | Washington |
|---|---|---|
| No Schooling | 0.5% (1) | 0.2% (53) |
| High School Diploma | 10.4% (19) | 22.1% (4,989) |
| Less than High School | 23.0% (42) | 10.1% (2,285) |
| Bachelor's Degree and Higher | 4.9% (9) | 16.5% (3,735) |
Education Levels Comparison: Waterloo vs Washington
- A higher percentage of residents in Waterloo have no formal schooling at 0.5% compared to 0.2% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 22.1% compared to 10.4% in Waterloo.
- More residents in Waterloo have less than a high school education at 23.0% compared to 10.1% in Washington.
- In Washington, a larger share of residents have a bachelor's degree or higher at 16.5% 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.