Demographics details for South river, NJ vs Palatka, FL
Population Overview
Compare main population characteristics in South river, NJ vs Palatka, FL.
Data | South river | Palatka |
---|---|---|
Population | 15,990 | 10,574 |
Median Age | 37.1 years | 39.9 years |
Median Income | $95,981 | $30,945 |
Married Families | 39.0% | 18.0% |
Poverty Level | 8% | 22% |
Unemployment Rate | 4.2 | 5.5 |
Population Comparison: South river vs Palatka
- In South river, the population is higher at 15,990, compared to 10,574 in Palatka.
- The median age in Palatka is higher at 39.9 years, compared to 37.1 years in South river.
- South river has a higher median income of $95,981 compared to $30,945 in Palatka.
- A higher percentage of married families is found in South river at 39.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 8% in South river.
- Palatka has a higher unemployment rate at 5.5% compared to 4.2% in South river.
Demographics
Demographics South river vs Palatka provide insight into the diversity of the communities to compare.
Demographic | South river | Palatka |
---|---|---|
Black | 7 | 40 |
White | 50 | 43 |
Asian | 5 | 1 |
Hispanic | 30 | 8 |
Two or More Races | 7 | 7 |
American Indian | 1 | 1 |
Demographics Comparison: South river vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 7% in South river.
- South river has a higher percentage of White residents at 50% compared to 43% in Palatka.
- The Asian population is larger in South river at 5% compared to 1% in Palatka.
- The Hispanic community is larger in South river at 30% compared to 8% in Palatka.
- Both South river and Palatka have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both South river and Palatka at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South river | Palatka |
---|---|---|
Mental Health Not Good | 16.0% | 19.4% |
Physical Health Not Good | 10.4% | 16.4% |
Depression | 21.0% | 20.5% |
Smoking | 14.6% | 29.4% |
Binge Drinking | 16.0% | 14.2% |
Obesity | 31.6% | 40.8% |
Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: South river vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 16.0% in South river.
- Depression is more prevalent in South river at 21.0% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 14.6% in South river.
- Binge drinking is more common in South river at 16.0% compared to 14.2% in Palatka.
- Palatka has higher obesity rates at 40.8% compared to 31.6% in South river.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 11.0% in South river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South river | Palatka |
---|---|---|
No Schooling | 2.5% (394) | 1.0% (111) |
High School Diploma | 18.7% (2,985) | 20.0% (2,118) |
Less than High School | 20.6% (3,292) | 22.0% (2,324) |
Bachelor's Degree and Higher | 18.9% (3,025) | 8.0% (841) |
Education Levels Comparison: South river vs Palatka
- A higher percentage of residents in South river have no formal schooling at 2.5% compared to 1.0% in Palatka.
- In Palatka, the rate of residents with high school diplomas is higher at 20.0% compared to 18.7% in South river.
- The percentage of residents with less than a high school education is higher in Palatka at 22.0%, compared to 20.6% in South river.
- A higher percentage of residents in South river hold a bachelor's degree or higher at 18.9% 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.