Demographics details for Palatka, FL vs South lebanon, OH
Population Overview
Compare main population characteristics in Palatka, FL vs South lebanon, OH.
| Data | Palatka | South lebanon |
|---|---|---|
| Population | 10,574 | 6,693 |
| Median Age | 39.9 years | 33.5 years |
| Median Income | $30,945 | $108,194 |
| Married Families | 18.0% | 36.0% |
| Poverty Level | 22% | 5% |
| Unemployment Rate | 5.5 | 3.2 |
Population Comparison: Palatka vs South lebanon
- In Palatka, the population is higher at 10,574, compared to 6,693 in South lebanon.
- Residents in Palatka have a higher median age of 39.9 years compared to 33.5 years in South lebanon.
- South lebanon has a higher median income of $108,194, compared to $30,945 in Palatka.
- In South lebanon, the percentage of married families is higher at 36.0%, compared to 18.0% in Palatka.
- Palatka has a higher poverty level at 22% compared to 5% in South lebanon.
- The unemployment rate in Palatka is higher at 5.5%, compared to 3.2% in South lebanon.
Demographics
Demographics Palatka vs South lebanon provide insight into the diversity of the communities to compare.
| Demographic | Palatka | South lebanon |
|---|---|---|
| Black | 40 | 2 |
| White | 43 | 90 |
| Asian | 1 | 1 |
| Hispanic | 8 | 4 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Palatka vs South lebanon
- A higher percentage of Black residents are in Palatka at 40% compared to 2% in South lebanon.
- The percentage of White residents is higher in South lebanon at 90% compared to 43% in Palatka.
- Both Palatka and South lebanon have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Palatka at 8% compared to 4% in South lebanon.
- More residents identify as two or more races in Palatka at 7% compared to 3% in South lebanon.
- A greater percentage of American Indian residents live in Palatka at 1% compared to 0% in South lebanon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palatka | South lebanon |
|---|---|---|
| Mental Health Not Good | 19.4% | 14.7% |
| Physical Health Not Good | 16.4% | 8.8% |
| Depression | 20.5% | 21.6% |
| Smoking | 29.4% | 13.9% |
| Binge Drinking | 14.2% | 20.1% |
| Obesity | 40.8% | 35.2% |
| Disability Percentage | 21.0% | 17.0% |
Health Statistics Comparison: Palatka vs South lebanon
- More residents in Palatka report poor mental health at 19.4% compared to 14.7% in South lebanon.
- Higher depression rates are seen in South lebanon at 21.6% versus 20.5% in Palatka.
- Smoking is more prevalent in Palatka at 29.4% compared to 13.9% in South lebanon.
- More residents engage in binge drinking in South lebanon at 20.1% compared to 14.2% in Palatka.
- Obesity rates are higher in Palatka at 40.8% compared to 35.2% in South lebanon.
- Disability percentages are higher in Palatka at 21.0% compared to 17.0% in South lebanon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palatka | South lebanon |
|---|---|---|
| No Schooling | 1.0% (111) | 0.1% (6) |
| High School Diploma | 20.0% (2,118) | 18.1% (1,211) |
| Less than High School | 22.0% (2,324) | 8.7% (585) |
| Bachelor's Degree and Higher | 8.0% (841) | 25.3% (1,690) |
Education Levels Comparison: Palatka vs South lebanon
- A higher percentage of residents in Palatka have no formal schooling at 1.0% compared to 0.1% in South lebanon.
- A higher percentage of residents in Palatka hold a high school diploma at 20.0% compared to 18.1% in South lebanon.
- More residents in Palatka have less than a high school education at 22.0% compared to 8.7% in South lebanon.
- In South lebanon, a larger share of residents have a bachelor's degree or higher at 25.3% 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.