Demographics details for Russell springs, KY vs Erwin, TN
Population Overview
Compare main population characteristics in Russell springs, KY vs Erwin, TN.
Data | Russell springs | Erwin |
---|---|---|
Population | 2,750 | 5,953 |
Median Age | 44.8 years | 46.8 years |
Median Income | $34,219 | $40,670 |
Married Families | 29.0% | 48.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Russell springs vs Erwin
- The population in Erwin is higher at 5,953, compared to 2,750 in Russell springs.
- The median age in Erwin is higher at 46.8 years, compared to 44.8 years in Russell springs.
- Erwin has a higher median income of $40,670, compared to $34,219 in Russell springs.
- In Erwin, the percentage of married families is higher at 48.0%, compared to 29.0% in Russell springs.
- Russell springs has a higher poverty level at 15% compared to 12% in Erwin.
- The unemployment rate is the same in both Russell springs and Erwin at 4.5%.
Demographics
Demographics Russell springs vs Erwin provide insight into the diversity of the communities to compare.
Demographic | Russell springs | Erwin |
---|---|---|
Black | 1 | Data is updating |
White | 88 | 87 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | 8 |
Two or More Races | 8 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Russell springs vs Erwin
- A higher percentage of Black residents are in Russell springs at 1% compared to 0% in Erwin.
- Russell springs has a higher percentage of White residents at 88% compared to 87% in Erwin.
- Both Russell springs and Erwin have the same percentage of Asian residents at 0%.
- Erwin has a higher percentage of Hispanic residents at 8%, compared to 3% in Russell springs.
- More residents identify as two or more races in Russell springs at 8% compared to 5% in Erwin.
- The percentage of American Indian residents is the same in both Russell springs and Erwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Russell springs | Erwin |
---|---|---|
Mental Health Not Good | 20.7% | 20.2% |
Physical Health Not Good | 15.6% | 14.1% |
Depression | 29.0% | 29.7% |
Smoking | 25.6% | 23.6% |
Binge Drinking | 14.5% | 15.9% |
Obesity | 40.3% | 38.0% |
Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: Russell springs vs Erwin
- More residents in Russell springs report poor mental health at 20.7% compared to 20.2% in Erwin.
- Higher depression rates are seen in Erwin at 29.7% versus 29.0% in Russell springs.
- Smoking is more prevalent in Russell springs at 25.6% compared to 23.6% in Erwin.
- More residents engage in binge drinking in Erwin at 15.9% compared to 14.5% in Russell springs.
- Obesity rates are higher in Russell springs at 40.3% compared to 38.0% in Erwin.
- There is a higher percentage of disabled individuals in Erwin at 21.0% compared to 15.0% in Russell springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Russell springs | Erwin |
---|---|---|
No Schooling | 0.7% (20) | 0.3% (15) |
High School Diploma | 13.6% (375) | 20.2% (1,201) |
Less than High School | 23.3% (642) | 19.7% (1,170) |
Bachelor's Degree and Higher | 18.4% (505) | 11.7% (698) |
Education Levels Comparison: Russell springs vs Erwin
- A higher percentage of residents in Russell springs have no formal schooling at 0.7% compared to 0.3% in Erwin.
- In Erwin, the rate of residents with high school diplomas is higher at 20.2% compared to 13.6% in Russell springs.
- More residents in Russell springs have less than a high school education at 23.3% compared to 19.7% in Erwin.
- A higher percentage of residents in Russell springs hold a bachelor's degree or higher at 18.4% 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.