Demographics details for Erwin, TN vs Three mile bay, NY
Population Overview
Compare main population characteristics in Erwin, TN vs Three mile bay, NY.
Data | Erwin | Three mile bay |
---|---|---|
Population | 5,953 | 63 |
Median Age | 46.8 years | 56.3 years |
Median Income | $40,670 | $47,813 |
Married Families | 48.0% | 71.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Erwin vs Three mile bay
- In Erwin, the population is higher at 5,953, compared to 63 in Three mile bay.
- The median age in Three mile bay is higher at 56.3 years, compared to 46.8 years in Erwin.
- Three mile bay has a higher median income of $47,813, compared to $40,670 in Erwin.
- In Three mile bay, the percentage of married families is higher at 71.0%, compared to 48.0% in Erwin.
- Erwin has a higher poverty level at 12% compared to 5% in Three mile bay.
- The unemployment rate in Erwin is higher at 4.5%, compared to 3.5% in Three mile bay.
Demographics
Demographics Erwin vs Three mile bay provide insight into the diversity of the communities to compare.
Demographic | Erwin | Three mile bay |
---|---|---|
Black | Data is updating | Data is updating |
White | 87 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 8 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Erwin vs Three mile bay
- The percentage of Black residents is the same in both Erwin and Three mile bay at 0%.
- The percentage of White residents is higher in Three mile bay at 100% compared to 87% in Erwin.
- Both Erwin and Three mile bay have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Erwin at 8% compared to 0% in Three mile bay.
- More residents identify as two or more races in Erwin at 5% compared to 0% in Three mile bay.
- The percentage of American Indian residents is the same in both Erwin and Three mile bay at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Erwin | Three mile bay |
---|---|---|
Mental Health Not Good | 20.2% | 14.9% |
Physical Health Not Good | 14.1% | 9.5% |
Depression | 29.7% | 24.4% |
Smoking | 23.6% | 18.3% |
Binge Drinking | 15.9% | 20.9% |
Obesity | 38.0% | 35.3% |
Disability Percentage | 21.0% | 35.0% |
Health Statistics Comparison: Erwin vs Three mile bay
- More residents in Erwin report poor mental health at 20.2% compared to 14.9% in Three mile bay.
- Depression is more prevalent in Erwin at 29.7% compared to 24.4% in Three mile bay.
- Smoking is more prevalent in Erwin at 23.6% compared to 18.3% in Three mile bay.
- More residents engage in binge drinking in Three mile bay at 20.9% compared to 15.9% in Erwin.
- Obesity rates are higher in Erwin at 38.0% compared to 35.3% in Three mile bay.
- There is a higher percentage of disabled individuals in Three mile bay at 35.0% compared to 21.0% in Erwin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Erwin | Three mile bay |
---|---|---|
No Schooling | 0.3% (15) | 0.0% (Data is updating) |
High School Diploma | 20.2% (1,201) | 12.7% (8) |
Less than High School | 19.7% (1,170) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.7% (698) | 22.2% (14) |
Education Levels Comparison: Erwin vs Three mile bay
- A higher percentage of residents in Erwin have no formal schooling at 0.3% compared to 0.0% in Three mile bay.
- A higher percentage of residents in Erwin hold a high school diploma at 20.2% compared to 12.7% in Three mile bay.
- More residents in Erwin have less than a high school education at 19.7% compared to 0.0% in Three mile bay.
- In Three mile bay, a larger share of residents have a bachelor's degree or higher at 22.2% compared to 11.7% in Erwin.
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.