Demographics details for Congress, AZ vs Waterford, CT
Population Overview
Compare main population characteristics in Congress, AZ vs Waterford, CT.
| Data | Congress | Waterford |
|---|---|---|
| Population | 1,512 | 3,276 |
| Median Age | 69.7 years | 45.2 years |
| Median Income | $61,563 | $74,701 |
| Married Families | 74.0% | 34.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Congress vs Waterford
- The population in Waterford is higher at 3,276, compared to 1,512 in Congress.
- Residents in Congress have a higher median age of 69.7 years compared to 45.2 years in Waterford.
- Waterford has a higher median income of $74,701, compared to $61,563 in Congress.
- A higher percentage of married families is found in Congress at 74.0% compared to 34.0% in Waterford.
- The poverty level is higher in Waterford at 5%, compared to 0% in Congress.
- Waterford has a higher unemployment rate at 3.7% compared to 3.5% in Congress.
Demographics
Demographics Congress vs Waterford provide insight into the diversity of the communities to compare.
| Demographic | Congress | Waterford |
|---|---|---|
| Black | Data is updating | 4 |
| White | 94 | 80 |
| Asian | Data is updating | 5 |
| Hispanic | 2 | 5 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Congress vs Waterford
- In Waterford, the percentage of Black residents is higher at 4% compared to 0% in Congress.
- Congress has a higher percentage of White residents at 94% compared to 80% in Waterford.
- In Waterford, the Asian population stands at 5%, greater than 0% in Congress.
- Waterford has a higher percentage of Hispanic residents at 5%, compared to 2% in Congress.
- The percentage of residents identifying as two or more races is higher in Waterford at 6%, compared to 4% in Congress.
- The percentage of American Indian residents is the same in both Congress and Waterford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Congress | Waterford |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.7% |
| Physical Health Not Good | 12.0% | 10.4% |
| Depression | 22.5% | 24.0% |
| Smoking | 18.1% | 17.5% |
| Binge Drinking | 16.7% | 17.2% |
| Obesity | 28.4% | 32.3% |
| Disability Percentage | 37.0% | 17.0% |
Health Statistics Comparison: Congress vs Waterford
- More residents in Congress report poor mental health at 18.3% compared to 16.7% in Waterford.
- Higher depression rates are seen in Waterford at 24.0% versus 22.5% in Congress.
- Smoking is more prevalent in Congress at 18.1% compared to 17.5% in Waterford.
- More residents engage in binge drinking in Waterford at 17.2% compared to 16.7% in Congress.
- Waterford has higher obesity rates at 32.3% compared to 28.4% in Congress.
- Disability percentages are higher in Congress at 37.0% compared to 17.0% in Waterford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Congress | Waterford |
|---|---|---|
| No Schooling | 2.6% (39) | 0.5% (17) |
| High School Diploma | 12.0% (181) | 22.6% (739) |
| Less than High School | 11.2% (170) | 5.9% (193) |
| Bachelor's Degree and Higher | 16.7% (253) | 17.8% (582) |
Education Levels Comparison: Congress vs Waterford
- A higher percentage of residents in Congress have no formal schooling at 2.6% compared to 0.5% in Waterford.
- In Waterford, the rate of residents with high school diplomas is higher at 22.6% compared to 12.0% in Congress.
- More residents in Congress have less than a high school education at 11.2% compared to 5.9% in Waterford.
- In Waterford, a larger share of residents have a bachelor's degree or higher at 17.8% compared to 16.7% in Congress.
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.