Demographics details for Marysville, KS vs Palatka, FL
Population Overview
Compare main population characteristics in Marysville, KS vs Palatka, FL.
Data | Marysville | Palatka |
---|---|---|
Population | 3,423 | 10,574 |
Median Age | 38.8 years | 39.9 years |
Median Income | $53,424 | $30,945 |
Married Families | 38.0% | 18.0% |
Poverty Level | Data is updating | 22% |
Unemployment Rate | 3.5 | 5.5 |
Population Comparison: Marysville vs Palatka
- The population in Palatka is higher at 10,574, compared to 3,423 in Marysville.
- The median age in Palatka is higher at 39.9 years, compared to 38.8 years in Marysville.
- Marysville has a higher median income of $53,424 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Marysville at 38.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 0% in Marysville.
- Palatka has a higher unemployment rate at 5.5% compared to 3.5% in Marysville.
Demographics
Demographics Marysville vs Palatka provide insight into the diversity of the communities to compare.
Demographic | Marysville | Palatka |
---|---|---|
Black | 2 | 40 |
White | 86 | 43 |
Asian | 1 | 1 |
Hispanic | 5 | 8 |
Two or More Races | 6 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Marysville vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 2% in Marysville.
- Marysville has a higher percentage of White residents at 86% compared to 43% in Palatka.
- Both Marysville and Palatka have the same percentage of Asian residents at 1%.
- Palatka has a higher percentage of Hispanic residents at 8%, compared to 5% in Marysville.
- The percentage of residents identifying as two or more races is higher in Palatka at 7%, compared to 6% in Marysville.
- In Palatka, the percentage of American Indian residents is higher at 1%, compared to 0% in Marysville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marysville | Palatka |
---|---|---|
Mental Health Not Good | 16.7% | 19.4% |
Physical Health Not Good | 11.0% | 16.4% |
Depression | 20.6% | 20.5% |
Smoking | 19.9% | 29.4% |
Binge Drinking | 20.1% | 14.2% |
Obesity | 40.6% | 40.8% |
Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Marysville vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 16.7% in Marysville.
- Depression is more prevalent in Marysville at 20.6% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 19.9% in Marysville.
- Binge drinking is more common in Marysville at 20.1% compared to 14.2% in Palatka.
- Palatka has higher obesity rates at 40.8% compared to 40.6% in Marysville.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 16.0% in Marysville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marysville | Palatka |
---|---|---|
No Schooling | 0.2% (8) | 1.0% (111) |
High School Diploma | 20.5% (701) | 20.0% (2,118) |
Less than High School | 12.0% (410) | 22.0% (2,324) |
Bachelor's Degree and Higher | 19.7% (674) | 8.0% (841) |
Education Levels Comparison: Marysville vs Palatka
- In Palatka, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Marysville.
- A higher percentage of residents in Marysville hold a high school diploma at 20.5% 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 12.0% in Marysville.
- A higher percentage of residents in Marysville hold a bachelor's degree or higher at 19.7% 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.