Demographics details for Dawson, GA vs Fall river, MA
Population Overview
Compare main population characteristics in Dawson, GA vs Fall river, MA.
| Data | Dawson | Fall river |
|---|---|---|
| Population | 30,138 | 93,682 |
| Median Age | 43.9 years | 39.2 years |
| Median Income | $84,516 | $52,734 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 16% | 16% |
| Unemployment Rate | 3.4 | 5.6 |
Population Comparison: Dawson vs Fall river
- The population in Fall river is higher at 93,682, compared to 30,138 in Dawson.
- Residents in Dawson have a higher median age of 43.9 years compared to 39.2 years in Fall river.
- Dawson has a higher median income of $84,516 compared to $52,734 in Fall river.
- A higher percentage of married families is found in Dawson at 42.0% compared to 32.0% in Fall river.
- The poverty level is identical in both Dawson and Fall river at 16%.
- Fall river has a higher unemployment rate at 5.6% compared to 3.4% in Dawson.
Demographics
Demographics Dawson vs Fall river provide insight into the diversity of the communities to compare.
| Demographic | Dawson | Fall river |
|---|---|---|
| Black | 1 | 6 |
| White | 88 | 68 |
| Asian | 1 | 3 |
| Hispanic | 5 | 12 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dawson vs Fall river
- In Fall river, the percentage of Black residents is higher at 6% compared to 1% in Dawson.
- Dawson has a higher percentage of White residents at 88% compared to 68% in Fall river.
- In Fall river, the Asian population stands at 3%, greater than 1% in Dawson.
- Fall river has a higher percentage of Hispanic residents at 12%, compared to 5% in Dawson.
- The percentage of residents identifying as two or more races is higher in Fall river at 11%, compared to 5% in Dawson.
- The percentage of American Indian residents is the same in both Dawson and Fall river at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dawson | Fall river |
|---|---|---|
| Mental Health Not Good | 15.7% | 19.7% |
| Physical Health Not Good | 10.5% | 13.3% |
| Depression | 22.1% | 25.0% |
| Smoking | 14.7% | 23.0% |
| Binge Drinking | 18.3% | 16.7% |
| Obesity | 32.5% | 32.8% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Dawson vs Fall river
- In Fall river, a higher percentage report poor mental health at 19.7% compared to 15.7% in Dawson.
- Higher depression rates are seen in Fall river at 25.0% versus 22.1% in Dawson.
- Fall river has a higher smoking rate at 23.0% compared to 14.7% in Dawson.
- Binge drinking is more common in Dawson at 18.3% compared to 16.7% in Fall river.
- Fall river has higher obesity rates at 32.8% compared to 32.5% in Dawson.
- There is a higher percentage of disabled individuals in Fall river at 20.0% compared to 13.0% in Dawson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dawson | Fall river |
|---|---|---|
| No Schooling | 1.5% (446) | 2.5% (2,365) |
| High School Diploma | 11.2% (3,376) | 19.4% (18,187) |
| Less than High School | 15.3% (4,610) | 32.4% (30,324) |
| Bachelor's Degree and Higher | 23.0% (6,943) | 11.3% (10,601) |
Education Levels Comparison: Dawson vs Fall river
- In Fall river, a larger percentage of residents lack formal schooling at 2.5% compared to 1.5% in Dawson.
- In Fall river, the rate of residents with high school diplomas is higher at 19.4% compared to 11.2% in Dawson.
- The percentage of residents with less than a high school education is higher in Fall river at 32.4%, compared to 15.3% in Dawson.
- A higher percentage of residents in Dawson hold a bachelor's degree or higher at 23.0% compared to 11.3% in Fall river.
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.