Demographics details for Winchester, TN vs Palatka, FL
Population Overview
Compare main population characteristics in Winchester, TN vs Palatka, FL.
| Data | Winchester | Palatka |
|---|---|---|
| Population | 9,859 | 10,574 |
| Median Age | 43.6 years | 39.9 years |
| Median Income | $58,054 | $30,945 |
| Married Families | 36.0% | 18.0% |
| Poverty Level | 12% | 22% |
| Unemployment Rate | 3.5 | 5.5 |
Population Comparison: Winchester vs Palatka
- The population in Palatka is higher at 10,574, compared to 9,859 in Winchester.
- Residents in Winchester have a higher median age of 43.6 years compared to 39.9 years in Palatka.
- Winchester has a higher median income of $58,054 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Winchester at 36.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 12% in Winchester.
- Palatka has a higher unemployment rate at 5.5% compared to 3.5% in Winchester.
Demographics
Demographics Winchester vs Palatka provide insight into the diversity of the communities to compare.
| Demographic | Winchester | Palatka |
|---|---|---|
| Black | 10 | 40 |
| White | 73 | 43 |
| Asian | 1 | 1 |
| Hispanic | 10 | 8 |
| Two or More Races | 5 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: Winchester vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 10% in Winchester.
- Winchester has a higher percentage of White residents at 73% compared to 43% in Palatka.
- Both Winchester and Palatka have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Winchester at 10% compared to 8% in Palatka.
- The percentage of residents identifying as two or more races is higher in Palatka at 7%, compared to 5% in Winchester.
- The percentage of American Indian residents is the same in both Winchester and Palatka at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winchester | Palatka |
|---|---|---|
| Mental Health Not Good | 19.0% | 19.4% |
| Physical Health Not Good | 13.0% | 16.4% |
| Depression | 27.0% | 20.5% |
| Smoking | 20.8% | 29.4% |
| Binge Drinking | 15.8% | 14.2% |
| Obesity | 39.9% | 40.8% |
| Disability Percentage | 19.0% | 21.0% |
Health Statistics Comparison: Winchester vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 19.0% in Winchester.
- Depression is more prevalent in Winchester at 27.0% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 20.8% in Winchester.
- Binge drinking is more common in Winchester at 15.8% compared to 14.2% in Palatka.
- Palatka has higher obesity rates at 40.8% compared to 39.9% in Winchester.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 19.0% in Winchester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winchester | Palatka |
|---|---|---|
| No Schooling | 1.1% (110) | 1.0% (111) |
| High School Diploma | 19.3% (1,906) | 20.0% (2,118) |
| Less than High School | 13.6% (1,340) | 22.0% (2,324) |
| Bachelor's Degree and Higher | 17.7% (1,741) | 8.0% (841) |
Education Levels Comparison: Winchester vs Palatka
- A higher percentage of residents in Winchester have no formal schooling at 1.1% compared to 1.0% in Palatka.
- In Palatka, the rate of residents with high school diplomas is higher at 20.0% compared to 19.3% in Winchester.
- The percentage of residents with less than a high school education is higher in Palatka at 22.0%, compared to 13.6% in Winchester.
- A higher percentage of residents in Winchester hold a bachelor's degree or higher at 17.7% 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.