Demographics details for Fall river, MA vs Marietta, OK
Population Overview
Compare main population characteristics in Fall river, MA vs Marietta, OK.
| Data | Fall river | Marietta |
|---|---|---|
| Population | 93,682 | 2,832 |
| Median Age | 39.2 years | 29.6 years |
| Median Income | $52,734 | $48,098 |
| Married Families | 32.0% | 30.0% |
| Poverty Level | 16% | Data is updating |
| Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Fall river vs Marietta
- In Fall river, the population is higher at 93,682, compared to 2,832 in Marietta.
- Residents in Fall river have a higher median age of 39.2 years compared to 29.6 years in Marietta.
- Fall river has a higher median income of $52,734 compared to $48,098 in Marietta.
- A higher percentage of married families is found in Fall river at 32.0% compared to 30.0% in Marietta.
- Fall river has a higher poverty level at 16% compared to 0% in Marietta.
- The unemployment rate in Fall river is higher at 5.6%, compared to 3.5% in Marietta.
Demographics
Demographics Fall river vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Fall river | Marietta |
|---|---|---|
| Black | 6 | 4 |
| White | 68 | 37 |
| Asian | 3 | Data is updating |
| Hispanic | 12 | 38 |
| Two or More Races | 11 | 17 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Fall river vs Marietta
- A higher percentage of Black residents are in Fall river at 6% compared to 4% in Marietta.
- Fall river has a higher percentage of White residents at 68% compared to 37% in Marietta.
- The Asian population is larger in Fall river at 3% compared to 0% in Marietta.
- Marietta has a higher percentage of Hispanic residents at 38%, compared to 12% in Fall river.
- The percentage of residents identifying as two or more races is higher in Marietta at 17%, compared to 11% in Fall river.
- In Marietta, the percentage of American Indian residents is higher at 4%, compared to 0% in Fall river.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fall river | Marietta |
|---|---|---|
| Mental Health Not Good | 19.7% | 21.1% |
| Physical Health Not Good | 13.3% | 16.4% |
| Depression | 25.0% | 26.8% |
| Smoking | 23.0% | 25.1% |
| Binge Drinking | 16.7% | 13.0% |
| Obesity | 32.8% | 44.8% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Fall river vs Marietta
- In Marietta, a higher percentage report poor mental health at 21.1% compared to 19.7% in Fall river.
- Higher depression rates are seen in Marietta at 26.8% versus 25.0% in Fall river.
- Marietta has a higher smoking rate at 25.1% compared to 23.0% in Fall river.
- Binge drinking is more common in Fall river at 16.7% compared to 13.0% in Marietta.
- Marietta has higher obesity rates at 44.8% compared to 32.8% in Fall river.
- Disability percentages are higher in Fall river at 20.0% compared to 15.0% in Marietta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fall river | Marietta |
|---|---|---|
| No Schooling | 2.5% (2,365) | 1.6% (44) |
| High School Diploma | 19.4% (18,187) | 18.3% (517) |
| Less than High School | 32.4% (30,324) | 31.9% (902) |
| Bachelor's Degree and Higher | 11.3% (10,601) | 5.1% (144) |
Education Levels Comparison: Fall river vs Marietta
- A higher percentage of residents in Fall river have no formal schooling at 2.5% compared to 1.6% in Marietta.
- A higher percentage of residents in Fall river hold a high school diploma at 19.4% compared to 18.3% in Marietta.
- More residents in Fall river have less than a high school education at 32.4% compared to 31.9% in Marietta.
- A higher percentage of residents in Fall river hold a bachelor's degree or higher at 11.3% compared to 5.1% in Marietta.
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.