Demographics details for Fall river, MA vs Coleman, OK
Population Overview
Compare main population characteristics in Fall river, MA vs Coleman, OK.
| Data | Fall river | Coleman |
|---|---|---|
| Population | 93,682 | 297 |
| Median Age | 39.2 years | 39.7 years |
| Median Income | $52,734 | $45,938 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 5.6 | 3.5 |
Population Comparison: Fall river vs Coleman
- In Fall river, the population is higher at 93,682, compared to 297 in Coleman.
- The median age in Coleman is higher at 39.7 years, compared to 39.2 years in Fall river.
- Fall river has a higher median income of $52,734 compared to $45,938 in Coleman.
- In Coleman, the percentage of married families is higher at 35.0%, compared to 32.0% in Fall river.
- Fall river has a higher poverty level at 16% compared to 12% in Coleman.
- The unemployment rate in Fall river is higher at 5.6%, compared to 3.5% in Coleman.
Demographics
Demographics Fall river vs Coleman provide insight into the diversity of the communities to compare.
| Demographic | Fall river | Coleman |
|---|---|---|
| Black | 6 | 2 |
| White | 68 | 77 |
| Asian | 3 | Data is updating |
| Hispanic | 12 | 1 |
| Two or More Races | 11 | 9 |
| American Indian | Data is updating | 11 |
Demographics Comparison: Fall river vs Coleman
- A higher percentage of Black residents are in Fall river at 6% compared to 2% in Coleman.
- The percentage of White residents is higher in Coleman at 77% compared to 68% in Fall river.
- The Asian population is larger in Fall river at 3% compared to 0% in Coleman.
- The Hispanic community is larger in Fall river at 12% compared to 1% in Coleman.
- More residents identify as two or more races in Fall river at 11% compared to 9% in Coleman.
- In Coleman, the percentage of American Indian residents is higher at 11%, compared to 0% in Fall river.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fall river | Coleman |
|---|---|---|
| Mental Health Not Good | 19.7% | 19.9% |
| Physical Health Not Good | 13.3% | 13.9% |
| Depression | 25.0% | 26.9% |
| Smoking | 23.0% | 22.9% |
| Binge Drinking | 16.7% | 14.8% |
| Obesity | 32.8% | 40.8% |
| Disability Percentage | 20.0% | 29.0% |
Health Statistics Comparison: Fall river vs Coleman
- In Coleman, a higher percentage report poor mental health at 19.9% compared to 19.7% in Fall river.
- Higher depression rates are seen in Coleman at 26.9% versus 25.0% in Fall river.
- Smoking is more prevalent in Fall river at 23.0% compared to 22.9% in Coleman.
- Binge drinking is more common in Fall river at 16.7% compared to 14.8% in Coleman.
- Coleman has higher obesity rates at 40.8% compared to 32.8% in Fall river.
- There is a higher percentage of disabled individuals in Coleman at 29.0% compared to 20.0% in Fall river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fall river | Coleman |
|---|---|---|
| No Schooling | 2.5% (2,365) | 0.0% (Data is updating) |
| High School Diploma | 19.4% (18,187) | 28.6% (85) |
| Less than High School | 32.4% (30,324) | 4.0% (12) |
| Bachelor's Degree and Higher | 11.3% (10,601) | 11.1% (33) |
Education Levels Comparison: Fall river vs Coleman
- A higher percentage of residents in Fall river have no formal schooling at 2.5% compared to 0.0% in Coleman.
- In Coleman, the rate of residents with high school diplomas is higher at 28.6% compared to 19.4% in Fall river.
- More residents in Fall river have less than a high school education at 32.4% compared to 4.0% in Coleman.
- A higher percentage of residents in Fall river hold a bachelor's degree or higher at 11.3% compared to 11.1% in Coleman.
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.