Demographics details for Leonard, MO vs Palatka, FL
Population Overview
Compare main population characteristics in Leonard, MO vs Palatka, FL.
| Data | Leonard | Palatka |
|---|---|---|
| Population | 57 | 10,574 |
| Median Age | 44.3 years | 39.9 years |
| Median Income | $59,688 | $30,945 |
| Married Families | 51.0% | 18.0% |
| Poverty Level | 8% | 22% |
| Unemployment Rate | 3.8 | 5.5 |
Population Comparison: Leonard vs Palatka
- The population in Palatka is higher at 10,574, compared to 57 in Leonard.
- Residents in Leonard have a higher median age of 44.3 years compared to 39.9 years in Palatka.
- Leonard has a higher median income of $59,688 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Leonard at 51.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 8% in Leonard.
- Palatka has a higher unemployment rate at 5.5% compared to 3.8% in Leonard.
Demographics
Demographics Leonard vs Palatka provide insight into the diversity of the communities to compare.
| Demographic | Leonard | Palatka |
|---|---|---|
| Black | Data is updating | 40 |
| White | 100 | 43 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 8 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Leonard vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 0% in Leonard.
- Leonard has a higher percentage of White residents at 100% compared to 43% in Palatka.
- In Palatka, the Asian population stands at 1%, greater than 0% in Leonard.
- Palatka has a higher percentage of Hispanic residents at 8%, compared to 0% in Leonard.
- The percentage of residents identifying as two or more races is higher in Palatka at 7%, compared to 0% in Leonard.
- In Palatka, the percentage of American Indian residents is higher at 1%, compared to 0% in Leonard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Leonard | Palatka |
|---|---|---|
| Mental Health Not Good | 17.4% | 19.4% |
| Physical Health Not Good | 17.0% | 16.4% |
| Depression | 25.3% | 20.5% |
| Smoking | 22.9% | 29.4% |
| Binge Drinking | 12.9% | 14.2% |
| Obesity | 40.2% | 40.8% |
| Disability Percentage | 4.0% | 21.0% |
Health Statistics Comparison: Leonard vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 17.4% in Leonard.
- Depression is more prevalent in Leonard at 25.3% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 22.9% in Leonard.
- More residents engage in binge drinking in Palatka at 14.2% compared to 12.9% in Leonard.
- Palatka has higher obesity rates at 40.8% compared to 40.2% in Leonard.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 4.0% in Leonard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Leonard | Palatka |
|---|---|---|
| No Schooling | 3.5% (2) | 1.0% (111) |
| High School Diploma | 22.8% (13) | 20.0% (2,118) |
| Less than High School | 7.0% (4) | 22.0% (2,324) |
| Bachelor's Degree and Higher | 21.1% (12) | 8.0% (841) |
Education Levels Comparison: Leonard vs Palatka
- A higher percentage of residents in Leonard have no formal schooling at 3.5% compared to 1.0% in Palatka.
- A higher percentage of residents in Leonard hold a high school diploma at 22.8% 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 7.0% in Leonard.
- A higher percentage of residents in Leonard hold a bachelor's degree or higher at 21.1% 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.