Demographics details for Baltimore, MD vs Palatka, FL
Population Overview
Compare main population characteristics in Baltimore, MD vs Palatka, FL.
| Data | Baltimore | Palatka |
|---|---|---|
| Population | 569,931 | 10,574 |
| Median Age | 36.0 years | 39.9 years |
| Median Income | $58,349 | $30,945 |
| Married Families | 23.0% | 18.0% |
| Poverty Level | 16% | 22% |
| Unemployment Rate | 4.3 | 5.5 |
Population Comparison: Baltimore vs Palatka
- In Baltimore, the population is higher at 569,931, compared to 10,574 in Palatka.
- The median age in Palatka is higher at 39.9 years, compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Baltimore at 23.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 16% in Baltimore.
- Palatka has a higher unemployment rate at 5.5% compared to 4.3% in Baltimore.
Demographics
Demographics Baltimore vs Palatka provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Palatka |
|---|---|---|
| Black | 63 | 40 |
| White | 23 | 43 |
| Asian | 3 | 1 |
| Hispanic | 6 | 8 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Baltimore vs Palatka
- A higher percentage of Black residents are in Baltimore at 63% compared to 40% in Palatka.
- The percentage of White residents is higher in Palatka at 43% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 1% in Palatka.
- Palatka has a higher percentage of Hispanic residents at 8%, compared to 6% in Baltimore.
- The percentage of residents identifying as two or more races is higher in Palatka at 7%, compared to 5% in Baltimore.
- In Palatka, the percentage of American Indian residents is higher at 1%, compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Palatka |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.4% |
| Physical Health Not Good | 12.3% | 16.4% |
| Depression | 20.2% | 20.5% |
| Smoking | 19.8% | 29.4% |
| Binge Drinking | 15.4% | 14.2% |
| Obesity | 37.1% | 40.8% |
| Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Baltimore vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 17.9% in Baltimore.
- Higher depression rates are seen in Palatka at 20.5% versus 20.2% in Baltimore.
- Palatka has a higher smoking rate at 29.4% compared to 19.8% in Baltimore.
- Binge drinking is more common in Baltimore at 15.4% compared to 14.2% in Palatka.
- Palatka has higher obesity rates at 40.8% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 16.0% in Baltimore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Palatka |
|---|---|---|
| No Schooling | 1.2% (6,683) | 1.0% (111) |
| High School Diploma | 16.8% (95,744) | 20.0% (2,118) |
| Less than High School | 11.9% (67,970) | 22.0% (2,324) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 8.0% (841) |
Education Levels Comparison: Baltimore vs Palatka
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 1.0% in Palatka.
- In Palatka, the rate of residents with high school diplomas is higher at 20.0% compared to 16.8% in Baltimore.
- The percentage of residents with less than a high school education is higher in Palatka at 22.0%, compared to 11.9% in Baltimore.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% 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.