Demographics details for Fall river mills, CA vs Tatamy, PA
Population Overview
Compare main population characteristics in Fall river mills, CA vs Tatamy, PA.
| Data | Fall river mills | Tatamy |
|---|---|---|
| Population | 678 | 1,369 |
| Median Age | 27.7 years | 40.7 years |
| Median Income | $36,827 | $97,857 |
| Married Families | 34.0% | 36.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 6.0 | 3.5 |
Population Comparison: Fall river mills vs Tatamy
- The population in Tatamy is higher at 1,369, compared to 678 in Fall river mills.
- The median age in Tatamy is higher at 40.7 years, compared to 27.7 years in Fall river mills.
- Tatamy has a higher median income of $97,857, compared to $36,827 in Fall river mills.
- In Tatamy, the percentage of married families is higher at 36.0%, compared to 34.0% in Fall river mills.
- Fall river mills has a higher poverty level at 15% compared to 5% in Tatamy.
- The unemployment rate in Fall river mills is higher at 6.0%, compared to 3.5% in Tatamy.
Demographics
Demographics Fall river mills vs Tatamy provide insight into the diversity of the communities to compare.
| Demographic | Fall river mills | Tatamy |
|---|---|---|
| Black | 1 | 4 |
| White | 36 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | 25 | 6 |
| Two or More Races | 27 | 1 |
| American Indian | 11 | Data is updating |
Demographics Comparison: Fall river mills vs Tatamy
- In Tatamy, the percentage of Black residents is higher at 4% compared to 1% in Fall river mills.
- The percentage of White residents is higher in Tatamy at 88% compared to 36% in Fall river mills.
- In Tatamy, the Asian population stands at 1%, greater than 0% in Fall river mills.
- The Hispanic community is larger in Fall river mills at 25% compared to 6% in Tatamy.
- More residents identify as two or more races in Fall river mills at 27% compared to 1% in Tatamy.
- A greater percentage of American Indian residents live in Fall river mills at 11% compared to 0% in Tatamy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fall river mills | Tatamy |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.8% |
| Physical Health Not Good | 11.7% | 10.1% |
| Depression | 21.7% | 21.9% |
| Smoking | 14.7% | 16.2% |
| Binge Drinking | 18.0% | 20.3% |
| Obesity | 31.3% | 31.0% |
| Disability Percentage | 12.0% | 6.0% |
Health Statistics Comparison: Fall river mills vs Tatamy
- More residents in Fall river mills report poor mental health at 17.9% compared to 15.8% in Tatamy.
- Higher depression rates are seen in Tatamy at 21.9% versus 21.7% in Fall river mills.
- Tatamy has a higher smoking rate at 16.2% compared to 14.7% in Fall river mills.
- More residents engage in binge drinking in Tatamy at 20.3% compared to 18.0% in Fall river mills.
- Obesity rates are higher in Fall river mills at 31.3% compared to 31.0% in Tatamy.
- Disability percentages are higher in Fall river mills at 12.0% compared to 6.0% in Tatamy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fall river mills | Tatamy |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 13.4% (91) | 20.2% (277) |
| Less than High School | 9.7% (66) | 1.9% (26) |
| Bachelor's Degree and Higher | 4.9% (33) | 17.1% (234) |
Education Levels Comparison: Fall river mills vs Tatamy
- The percentage of residents with no formal schooling is the same in both Fall river mills and Tatamy at 0.0%.
- In Tatamy, the rate of residents with high school diplomas is higher at 20.2% compared to 13.4% in Fall river mills.
- More residents in Fall river mills have less than a high school education at 9.7% compared to 1.9% in Tatamy.
- In Tatamy, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 4.9% in Fall river mills.
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.