Demographics details for Fall river, MA vs Elm city, NC
Population Overview
Compare main population characteristics in Fall river, MA vs Elm city, NC.
| Data | Fall river | Elm city |
|---|---|---|
| Population | 93,682 | 1,204 |
| Median Age | 39.2 years | 48.0 years |
| Median Income | $52,734 | $48,125 |
| Married Families | 32.0% | 43.0% |
| Poverty Level | 16% | 15% |
| Unemployment Rate | 5.6 | 5.1 |
Population Comparison: Fall river vs Elm city
- In Fall river, the population is higher at 93,682, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 39.2 years in Fall river.
- Fall river has a higher median income of $52,734 compared to $48,125 in Elm city.
- In Elm city, the percentage of married families is higher at 43.0%, compared to 32.0% in Fall river.
- Fall river has a higher poverty level at 16% compared to 15% in Elm city.
- The unemployment rate in Fall river is higher at 5.6%, compared to 5.1% in Elm city.
Demographics
Demographics Fall river vs Elm city provide insight into the diversity of the communities to compare.
| Demographic | Fall river | Elm city |
|---|---|---|
| Black | 6 | 60 |
| White | 68 | 25 |
| Asian | 3 | 3 |
| Hispanic | 12 | 11 |
| Two or More Races | 11 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fall river vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 6% in Fall river.
- Fall river has a higher percentage of White residents at 68% compared to 25% in Elm city.
- Both Fall river and Elm city have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Fall river at 12% compared to 11% in Elm city.
- More residents identify as two or more races in Fall river at 11% compared to 1% in Elm city.
- The percentage of American Indian residents is the same in both Fall river and Elm city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fall river | Elm city |
|---|---|---|
| Mental Health Not Good | 19.7% | 16.8% |
| Physical Health Not Good | 13.3% | 12.0% |
| Depression | 25.0% | 21.2% |
| Smoking | 23.0% | 18.8% |
| Binge Drinking | 16.7% | 15.7% |
| Obesity | 32.8% | 37.9% |
| Disability Percentage | 20.0% | 19.0% |
Health Statistics Comparison: Fall river vs Elm city
- More residents in Fall river report poor mental health at 19.7% compared to 16.8% in Elm city.
- Depression is more prevalent in Fall river at 25.0% compared to 21.2% in Elm city.
- Smoking is more prevalent in Fall river at 23.0% compared to 18.8% in Elm city.
- Binge drinking is more common in Fall river at 16.7% compared to 15.7% in Elm city.
- Elm city has higher obesity rates at 37.9% compared to 32.8% in Fall river.
- Disability percentages are higher in Fall river at 20.0% compared to 19.0% in Elm city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fall river | Elm city |
|---|---|---|
| No Schooling | 2.5% (2,365) | 0.7% (8) |
| High School Diploma | 19.4% (18,187) | 24.1% (290) |
| Less than High School | 32.4% (30,324) | 15.1% (182) |
| Bachelor's Degree and Higher | 11.3% (10,601) | 11.5% (139) |
Education Levels Comparison: Fall river vs Elm city
- A higher percentage of residents in Fall river have no formal schooling at 2.5% compared to 0.7% in Elm city.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 19.4% in Fall river.
- More residents in Fall river have less than a high school education at 32.4% compared to 15.1% in Elm city.
- In Elm city, a larger share of residents have a bachelor's degree or higher at 11.5% 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.