Demographics details for Fall river, MA vs Green, OH
Population Overview
Compare main population characteristics in Fall river, MA vs Green, OH.
| Data | Fall river | Green |
|---|---|---|
| Population | 93,682 | 27,269 |
| Median Age | 39.2 years | 41.1 years |
| Median Income | $52,734 | $90,419 |
| Married Families | 32.0% | 45.0% |
| Poverty Level | 16% | 4% |
| Unemployment Rate | 5.6 | 4.7 |
Population Comparison: Fall river vs Green
- In Fall river, the population is higher at 93,682, compared to 27,269 in Green.
- The median age in Green is higher at 41.1 years, compared to 39.2 years in Fall river.
- Green has a higher median income of $90,419, compared to $52,734 in Fall river.
- In Green, the percentage of married families is higher at 45.0%, compared to 32.0% in Fall river.
- Fall river has a higher poverty level at 16% compared to 4% in Green.
- The unemployment rate in Fall river is higher at 5.6%, compared to 4.7% in Green.
Demographics
Demographics Fall river vs Green provide insight into the diversity of the communities to compare.
| Demographic | Fall river | Green |
|---|---|---|
| Black | 6 | 1 |
| White | 68 | 94 |
| Asian | 3 | 1 |
| Hispanic | 12 | 1 |
| Two or More Races | 11 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fall river vs Green
- A higher percentage of Black residents are in Fall river at 6% compared to 1% in Green.
- The percentage of White residents is higher in Green at 94% compared to 68% in Fall river.
- The Asian population is larger in Fall river at 3% compared to 1% in Green.
- The Hispanic community is larger in Fall river at 12% compared to 1% in Green.
- More residents identify as two or more races in Fall river at 11% compared to 3% in Green.
- The percentage of American Indian residents is the same in both Fall river and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fall river | Green |
|---|---|---|
| Mental Health Not Good | 19.7% | 16.6% |
| Physical Health Not Good | 13.3% | 10.5% |
| Depression | 25.0% | 24.7% |
| Smoking | 23.0% | 17.4% |
| Binge Drinking | 16.7% | 19.1% |
| Obesity | 32.8% | 40.2% |
| Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Fall river vs Green
- More residents in Fall river report poor mental health at 19.7% compared to 16.6% in Green.
- Depression is more prevalent in Fall river at 25.0% compared to 24.7% in Green.
- Smoking is more prevalent in Fall river at 23.0% compared to 17.4% in Green.
- More residents engage in binge drinking in Green at 19.1% compared to 16.7% in Fall river.
- Green has higher obesity rates at 40.2% compared to 32.8% in Fall river.
- Disability percentages are higher in Fall river at 20.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fall river | Green |
|---|---|---|
| No Schooling | 2.5% (2,365) | 0.2% (46) |
| High School Diploma | 19.4% (18,187) | 16.6% (4,514) |
| Less than High School | 32.4% (30,324) | 3.0% (828) |
| Bachelor's Degree and Higher | 11.3% (10,601) | 29.3% (7,977) |
Education Levels Comparison: Fall river vs Green
- A higher percentage of residents in Fall river have no formal schooling at 2.5% compared to 0.2% in Green.
- A higher percentage of residents in Fall river hold a high school diploma at 19.4% compared to 16.6% in Green.
- More residents in Fall river have less than a high school education at 32.4% compared to 3.0% in Green.
- In Green, a larger share of residents have a bachelor's degree or higher at 29.3% 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.