Demographics details for Springfield, MA vs Dalton, GA
Population Overview
Compare main population characteristics in Springfield, MA vs Dalton, GA.
| Data | Springfield | Dalton |
|---|---|---|
| Population | 154,064 | 34,366 |
| Median Age | 33.4 years | 34.0 years |
| Median Income | $47,677 | $57,163 |
| Married Families | 26.0% | 33.0% |
| Poverty Level | 20% | 17% |
| Unemployment Rate | 6.9 | 4.8 |
Population Comparison: Springfield vs Dalton
- In Springfield, the population is higher at 154,064, compared to 34,366 in Dalton.
- The median age in Dalton is higher at 34.0 years, compared to 33.4 years in Springfield.
- Dalton has a higher median income of $57,163, compared to $47,677 in Springfield.
- In Dalton, the percentage of married families is higher at 33.0%, compared to 26.0% in Springfield.
- Springfield has a higher poverty level at 20% compared to 17% in Dalton.
- The unemployment rate in Springfield is higher at 6.9%, compared to 4.8% in Dalton.
Demographics
Demographics Springfield vs Dalton provide insight into the diversity of the communities to compare.
| Demographic | Springfield | Dalton |
|---|---|---|
| Black | 21 | 5 |
| White | 8 | 27 |
| Asian | 3 | 3 |
| Hispanic | 49 | 51 |
| Two or More Races | 19 | 10 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Springfield vs Dalton
- A higher percentage of Black residents are in Springfield at 21% compared to 5% in Dalton.
- The percentage of White residents is higher in Dalton at 27% compared to 8% in Springfield.
- Both Springfield and Dalton have the same percentage of Asian residents at 3%.
- Dalton has a higher percentage of Hispanic residents at 51%, compared to 49% in Springfield.
- More residents identify as two or more races in Springfield at 19% compared to 10% in Dalton.
- In Dalton, the percentage of American Indian residents is higher at 4%, compared to 0% in Springfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Springfield | Dalton |
|---|---|---|
| Mental Health Not Good | 21.2% | 18.4% |
| Physical Health Not Good | 14.9% | 15.6% |
| Depression | 25.8% | 21.0% |
| Smoking | 19.9% | 20.9% |
| Binge Drinking | 14.3% | 14.1% |
| Obesity | 40.8% | 38.1% |
| Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Springfield vs Dalton
- More residents in Springfield report poor mental health at 21.2% compared to 18.4% in Dalton.
- Depression is more prevalent in Springfield at 25.8% compared to 21.0% in Dalton.
- Dalton has a higher smoking rate at 20.9% compared to 19.9% in Springfield.
- Binge drinking is more common in Springfield at 14.3% compared to 14.1% in Dalton.
- Obesity rates are higher in Springfield at 40.8% compared to 38.1% in Dalton.
- Disability percentages are higher in Springfield at 19.0% compared to 10.0% in Dalton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Springfield | Dalton |
|---|---|---|
| No Schooling | 2.0% (3,005) | 3.9% (1,330) |
| High School Diploma | 16.7% (25,679) | 12.3% (4,231) |
| Less than High School | 23.8% (36,663) | 36.8% (12,657) |
| Bachelor's Degree and Higher | 12.7% (19,500) | 14.5% (4,996) |
Education Levels Comparison: Springfield vs Dalton
- In Dalton, a larger percentage of residents lack formal schooling at 3.9% compared to 2.0% in Springfield.
- A higher percentage of residents in Springfield hold a high school diploma at 16.7% compared to 12.3% in Dalton.
- The percentage of residents with less than a high school education is higher in Dalton at 36.8%, compared to 23.8% in Springfield.
- In Dalton, a larger share of residents have a bachelor's degree or higher at 14.5% compared to 12.7% in Springfield.
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.