Demographics details for Scott city, MO vs Palatka, FL
Population Overview
Compare main population characteristics in Scott city, MO vs Palatka, FL.
| Data | Scott city | Palatka |
|---|---|---|
| Population | 4,350 | 10,574 |
| Median Age | 40.1 years | 39.9 years |
| Median Income | $57,771 | $30,945 |
| Married Families | 43.0% | 18.0% |
| Poverty Level | 9% | 22% |
| Unemployment Rate | 3.2 | 5.5 |
Population Comparison: Scott city vs Palatka
- The population in Palatka is higher at 10,574, compared to 4,350 in Scott city.
- Residents in Scott city have a higher median age of 40.1 years compared to 39.9 years in Palatka.
- Scott city has a higher median income of $57,771 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Scott city at 43.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 9% in Scott city.
- Palatka has a higher unemployment rate at 5.5% compared to 3.2% in Scott city.
Demographics
Demographics Scott city vs Palatka provide insight into the diversity of the communities to compare.
| Demographic | Scott city | Palatka |
|---|---|---|
| Black | Data is updating | 40 |
| White | 92 | 43 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 8 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Scott city vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 0% in Scott city.
- Scott city has a higher percentage of White residents at 92% compared to 43% in Palatka.
- In Palatka, the Asian population stands at 1%, greater than 0% in Scott city.
- Palatka has a higher percentage of Hispanic residents at 8%, compared to 3% in Scott city.
- The percentage of residents identifying as two or more races is higher in Palatka at 7%, compared to 5% in Scott city.
- In Palatka, the percentage of American Indian residents is higher at 1%, compared to 0% in Scott city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Scott city | Palatka |
|---|---|---|
| Mental Health Not Good | 20.9% | 19.4% |
| Physical Health Not Good | 15.5% | 16.4% |
| Depression | 27.3% | 20.5% |
| Smoking | 26.0% | 29.4% |
| Binge Drinking | 17.0% | 14.2% |
| Obesity | 37.0% | 40.8% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Scott city vs Palatka
- More residents in Scott city report poor mental health at 20.9% compared to 19.4% in Palatka.
- Depression is more prevalent in Scott city at 27.3% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 26.0% in Scott city.
- Binge drinking is more common in Scott city at 17.0% compared to 14.2% in Palatka.
- Palatka has higher obesity rates at 40.8% compared to 37.0% in Scott city.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 16.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Scott city | Palatka |
|---|---|---|
| No Schooling | 0.4% (18) | 1.0% (111) |
| High School Diploma | 20.4% (886) | 20.0% (2,118) |
| Less than High School | 23.8% (1,035) | 22.0% (2,324) |
| Bachelor's Degree and Higher | 10.9% (474) | 8.0% (841) |
Education Levels Comparison: Scott city vs Palatka
- In Palatka, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Scott city.
- A higher percentage of residents in Scott city hold a high school diploma at 20.4% compared to 20.0% in Palatka.
- More residents in Scott city have less than a high school education at 23.8% compared to 22.0% in Palatka.
- A higher percentage of residents in Scott city hold a bachelor's degree or higher at 10.9% 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.