Demographics details for Waterbury, CT vs Palatka, FL
Population Overview
Compare main population characteristics in Waterbury, CT vs Palatka, FL.
| Data | Waterbury | Palatka |
|---|---|---|
| Population | 115,016 | 10,574 |
| Median Age | 36.7 years | 39.9 years |
| Median Income | $51,451 | $30,945 |
| Married Families | 28.0% | 18.0% |
| Poverty Level | 13% | 22% |
| Unemployment Rate | 4.5 | 5.5 |
Population Comparison: Waterbury vs Palatka
- In Waterbury, the population is higher at 115,016, compared to 10,574 in Palatka.
- The median age in Palatka is higher at 39.9 years, compared to 36.7 years in Waterbury.
- Waterbury has a higher median income of $51,451 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Waterbury at 28.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 13% in Waterbury.
- Palatka has a higher unemployment rate at 5.5% compared to 4.5% in Waterbury.
Demographics
Demographics Waterbury vs Palatka provide insight into the diversity of the communities to compare.
| Demographic | Waterbury | Palatka |
|---|---|---|
| Black | 28 | 40 |
| White | 22 | 43 |
| Asian | 3 | 1 |
| Hispanic | 36 | 8 |
| Two or More Races | 11 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Waterbury vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 28% in Waterbury.
- The percentage of White residents is higher in Palatka at 43% compared to 22% in Waterbury.
- The Asian population is larger in Waterbury at 3% compared to 1% in Palatka.
- The Hispanic community is larger in Waterbury at 36% compared to 8% in Palatka.
- More residents identify as two or more races in Waterbury at 11% compared to 7% in Palatka.
- In Palatka, 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 | Palatka |
|---|---|---|
| Mental Health Not Good | 17.3% | 19.4% |
| Physical Health Not Good | 13.3% | 16.4% |
| Depression | 22.0% | 20.5% |
| Smoking | 21.8% | 29.4% |
| Binge Drinking | 13.7% | 14.2% |
| Obesity | 37.1% | 40.8% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Waterbury vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 17.3% in Waterbury.
- Depression is more prevalent in Waterbury at 22.0% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 21.8% in Waterbury.
- More residents engage in binge drinking in Palatka at 14.2% compared to 13.7% in Waterbury.
- Palatka has higher obesity rates at 40.8% compared to 37.1% in Waterbury.
- There is a higher percentage of disabled individuals in Palatka at 21.0% 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 | Palatka |
|---|---|---|
| No Schooling | 1.9% (2,221) | 1.0% (111) |
| High School Diploma | 21.4% (24,629) | 20.0% (2,118) |
| Less than High School | 20.7% (23,816) | 22.0% (2,324) |
| Bachelor's Degree and Higher | 11.1% (12,745) | 8.0% (841) |
Education Levels Comparison: Waterbury vs Palatka
- A higher percentage of residents in Waterbury have no formal schooling at 1.9% compared to 1.0% in Palatka.
- A higher percentage of residents in Waterbury hold a high school diploma at 21.4% compared to 20.0% in Palatka.
- The percentage of residents with less than a high school education is higher in Palatka at 22.0%, compared to 20.7% in Waterbury.
- A higher percentage of residents in Waterbury hold a bachelor's degree or higher at 11.1% compared to 8.0% in Palatka.
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.