Demographics details for Manchester, NH vs Palatka, FL
Population Overview
Compare main population characteristics in Manchester, NH vs Palatka, FL.
| Data | Manchester | Palatka |
|---|---|---|
| Population | 115,141 | 10,574 |
| Median Age | 37.0 years | 39.9 years |
| Median Income | $74,040 | $30,945 |
| Married Families | 34.0% | 18.0% |
| Poverty Level | 10% | 22% |
| Unemployment Rate | 2.6 | 5.5 |
Population Comparison: Manchester vs Palatka
- In Manchester, the population is higher at 115,141, compared to 10,574 in Palatka.
- The median age in Palatka is higher at 39.9 years, compared to 37.0 years in Manchester.
- Manchester has a higher median income of $74,040 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Manchester at 34.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 10% in Manchester.
- Palatka has a higher unemployment rate at 5.5% compared to 2.6% in Manchester.
Demographics
Demographics Manchester vs Palatka provide insight into the diversity of the communities to compare.
| Demographic | Manchester | Palatka |
|---|---|---|
| Black | 6 | 40 |
| White | 68 | 43 |
| Asian | 5 | 1 |
| Hispanic | 12 | 8 |
| Two or More Races | 9 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Manchester vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 6% in Manchester.
- Manchester has a higher percentage of White residents at 68% compared to 43% in Palatka.
- The Asian population is larger in Manchester at 5% compared to 1% in Palatka.
- The Hispanic community is larger in Manchester at 12% compared to 8% in Palatka.
- More residents identify as two or more races in Manchester at 9% compared to 7% in Palatka.
- In Palatka, the percentage of American Indian residents is higher at 1%, compared to 0% in Manchester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manchester | Palatka |
|---|---|---|
| Mental Health Not Good | 16.4% | 19.4% |
| Physical Health Not Good | 10.5% | 16.4% |
| Depression | 24.5% | 20.5% |
| Smoking | 17.3% | 29.4% |
| Binge Drinking | 14.6% | 14.2% |
| Obesity | 35.9% | 40.8% |
| Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: Manchester vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 16.4% in Manchester.
- Depression is more prevalent in Manchester at 24.5% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 17.3% in Manchester.
- Binge drinking is more common in Manchester at 14.6% compared to 14.2% in Palatka.
- Palatka has higher obesity rates at 40.8% compared to 35.9% in Manchester.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 14.0% in Manchester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manchester | Palatka |
|---|---|---|
| No Schooling | 1.1% (1,316) | 1.0% (111) |
| High School Diploma | 17.0% (19,519) | 20.0% (2,118) |
| Less than High School | 15.1% (17,348) | 22.0% (2,324) |
| Bachelor's Degree and Higher | 23.1% (26,548) | 8.0% (841) |
Education Levels Comparison: Manchester vs Palatka
- A higher percentage of residents in Manchester have no formal schooling at 1.1% compared to 1.0% in Palatka.
- In Palatka, the rate of residents with high school diplomas is higher at 20.0% compared to 17.0% in Manchester.
- The percentage of residents with less than a high school education is higher in Palatka at 22.0%, compared to 15.1% in Manchester.
- A higher percentage of residents in Manchester hold a bachelor's degree or higher at 23.1% 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.