Demographics details for Waterbury, CT vs Florence, OR
Population Overview
Compare main population characteristics in Waterbury, CT vs Florence, OR.
| Data | Waterbury | Florence |
|---|---|---|
| Population | 115,016 | 9,376 |
| Median Age | 36.7 years | 57.7 years |
| Median Income | $51,451 | $57,568 |
| Married Families | 28.0% | 42.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Waterbury vs Florence
- In Waterbury, the population is higher at 115,016, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 36.7 years in Waterbury.
- Florence has a higher median income of $57,568, compared to $51,451 in Waterbury.
- In Florence, the percentage of married families is higher at 42.0%, compared to 28.0% in Waterbury.
- Waterbury has a higher poverty level at 13% compared to 10% in Florence.
- The unemployment rate is the same in both Waterbury and Florence at 4.5%.
Demographics
Demographics Waterbury vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Waterbury | Florence |
|---|---|---|
| Black | 28 | 2 |
| White | 22 | 87 |
| Asian | 3 | 2 |
| Hispanic | 36 | 5 |
| Two or More Races | 11 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterbury vs Florence
- A higher percentage of Black residents are in Waterbury at 28% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 22% in Waterbury.
- The Asian population is larger in Waterbury at 3% compared to 2% in Florence.
- The Hispanic community is larger in Waterbury at 36% compared to 5% in Florence.
- More residents identify as two or more races in Waterbury at 11% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterbury | Florence |
|---|---|---|
| Mental Health Not Good | 17.3% | 19.8% |
| Physical Health Not Good | 13.3% | 13.1% |
| Depression | 22.0% | 29.2% |
| Smoking | 21.8% | 16.7% |
| Binge Drinking | 13.7% | 17.0% |
| Obesity | 37.1% | 36.0% |
| Disability Percentage | 16.0% | 25.0% |
Health Statistics Comparison: Waterbury vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 17.3% in Waterbury.
- Higher depression rates are seen in Florence at 29.2% versus 22.0% in Waterbury.
- Smoking is more prevalent in Waterbury at 21.8% compared to 16.7% in Florence.
- More residents engage in binge drinking in Florence at 17.0% compared to 13.7% in Waterbury.
- Obesity rates are higher in Waterbury at 37.1% compared to 36.0% in Florence.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 16.0% in Waterbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterbury | Florence |
|---|---|---|
| No Schooling | 1.9% (2,221) | 0.4% (35) |
| High School Diploma | 21.4% (24,629) | 14.2% (1,331) |
| Less than High School | 20.7% (23,816) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 11.1% (12,745) | 19.9% (1,865) |
Education Levels Comparison: Waterbury vs Florence
- A higher percentage of residents in Waterbury have no formal schooling at 1.9% compared to 0.4% in Florence.
- A higher percentage of residents in Waterbury hold a high school diploma at 21.4% compared to 14.2% in Florence.
- More residents in Waterbury have less than a high school education at 20.7% compared to 15.6% in Florence.
- In Florence, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 11.1% in Waterbury.
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.