Demographics details for Dighton, MA vs Savannah, GA
Population Overview
Compare main population characteristics in Dighton, MA vs Savannah, GA.
| Data | Dighton | Savannah |
|---|---|---|
| Population | 7,891 | 148,004 |
| Median Age | 42.0 years | 33.5 years |
| Median Income | $77,750 | $54,748 |
| Married Families | 64.0% | 26.0% |
| Poverty Level | 5% | 20% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Dighton vs Savannah
- The population in Savannah is higher at 148,004, compared to 7,891 in Dighton.
- Residents in Dighton have a higher median age of 42.0 years compared to 33.5 years in Savannah.
- Dighton has a higher median income of $77,750 compared to $54,748 in Savannah.
- A higher percentage of married families is found in Dighton at 64.0% compared to 26.0% in Savannah.
- The poverty level is higher in Savannah at 20%, compared to 5% in Dighton.
- Savannah has a higher unemployment rate at 4.2% compared to 3.5% in Dighton.
Demographics
Demographics Dighton vs Savannah provide insight into the diversity of the communities to compare.
| Demographic | Dighton | Savannah |
|---|---|---|
| Black | Data is updating | 53 |
| White | 96 | 34 |
| Asian | 1 | 3 |
| Hispanic | 2 | 6 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dighton vs Savannah
- In Savannah, the percentage of Black residents is higher at 53% compared to 0% in Dighton.
- Dighton has a higher percentage of White residents at 96% compared to 34% in Savannah.
- In Savannah, the Asian population stands at 3%, greater than 1% in Dighton.
- Savannah has a higher percentage of Hispanic residents at 6%, compared to 2% in Dighton.
- The percentage of residents identifying as two or more races is higher in Savannah at 4%, compared to 1% in Dighton.
- The percentage of American Indian residents is the same in both Dighton and Savannah at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dighton | Savannah |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.5% |
| Physical Health Not Good | Data is updating% | 13.3% |
| Depression | Data is updating% | 19.4% |
| Smoking | Data is updating% | 19.7% |
| Binge Drinking | Data is updating% | 14.3% |
| Obesity | Data is updating% | 36.9% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Dighton vs Savannah
- In Savannah, a higher percentage report poor mental health at 17.5% compared to 0.0% in Dighton.
- Higher depression rates are seen in Savannah at 19.4% versus 0.0% in Dighton.
- Savannah has a higher smoking rate at 19.7% compared to 0.0% in Dighton.
- More residents engage in binge drinking in Savannah at 14.3% compared to 0.0% in Dighton.
- Savannah has higher obesity rates at 36.9% compared to 0.0% in Dighton.
- There is a higher percentage of disabled individuals in Savannah at 15.0% compared to 0.0% in Dighton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dighton | Savannah |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (853) |
| High School Diploma | 0.0% (Data is updating) | 14.6% (21,663) |
| Less than High School | 0.0% (Data is updating) | 8.0% (11,888) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 20.4% (30,130) |
Education Levels Comparison: Dighton vs Savannah
- In Savannah, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Dighton.
- In Savannah, the rate of residents with high school diplomas is higher at 14.6% compared to 0.0% in Dighton.
- The percentage of residents with less than a high school education is higher in Savannah at 8.0%, compared to 0.0% in Dighton.
- In Savannah, a larger share of residents have a bachelor's degree or higher at 20.4% compared to 0.0% in Dighton.
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.