Demographics details for Ashland, OH vs Erwin, TN
Population Overview
Compare main population characteristics in Ashland, OH vs Erwin, TN.
Data | Ashland | Erwin |
---|---|---|
Population | 19,015 | 5,953 |
Median Age | 38.8 years | 46.8 years |
Median Income | $56,040 | $40,670 |
Married Families | 38.0% | 48.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Ashland vs Erwin
- In Ashland, the population is higher at 19,015, compared to 5,953 in Erwin.
- The median age in Erwin is higher at 46.8 years, compared to 38.8 years in Ashland.
- Ashland has a higher median income of $56,040 compared to $40,670 in Erwin.
- In Erwin, the percentage of married families is higher at 48.0%, compared to 38.0% in Ashland.
- The poverty level is higher in Erwin at 12%, compared to 11% in Ashland.
- Erwin has a higher unemployment rate at 4.5% compared to 4.2% in Ashland.
Demographics
Demographics Ashland vs Erwin provide insight into the diversity of the communities to compare.
Demographic | Ashland | Erwin |
---|---|---|
Black | 2 | Data is updating |
White | 91 | 87 |
Asian | 1 | Data is updating |
Hispanic | 2 | 8 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ashland vs Erwin
- A higher percentage of Black residents are in Ashland at 2% compared to 0% in Erwin.
- Ashland has a higher percentage of White residents at 91% compared to 87% in Erwin.
- The Asian population is larger in Ashland at 1% compared to 0% in Erwin.
- Erwin has a higher percentage of Hispanic residents at 8%, compared to 2% in Ashland.
- The percentage of residents identifying as two or more races is higher in Erwin at 5%, compared to 4% in Ashland.
- The percentage of American Indian residents is the same in both Ashland and Erwin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ashland | Erwin |
---|---|---|
Mental Health Not Good | 18.2% | 20.2% |
Physical Health Not Good | 12.1% | 14.1% |
Depression | 24.6% | 29.7% |
Smoking | 20.6% | 23.6% |
Binge Drinking | 18.1% | 15.9% |
Obesity | 38.7% | 38.0% |
Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Ashland vs Erwin
- In Erwin, a higher percentage report poor mental health at 20.2% compared to 18.2% in Ashland.
- Higher depression rates are seen in Erwin at 29.7% versus 24.6% in Ashland.
- Erwin has a higher smoking rate at 23.6% compared to 20.6% in Ashland.
- Binge drinking is more common in Ashland at 18.1% compared to 15.9% in Erwin.
- Obesity rates are higher in Ashland at 38.7% compared to 38.0% in Erwin.
- There is a higher percentage of disabled individuals in Erwin at 21.0% compared to 16.0% in Ashland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ashland | Erwin |
---|---|---|
No Schooling | 0.1% (28) | 0.3% (15) |
High School Diploma | 23.0% (4,380) | 20.2% (1,201) |
Less than High School | 12.3% (2,337) | 19.7% (1,170) |
Bachelor's Degree and Higher | 16.6% (3,160) | 11.7% (698) |
Education Levels Comparison: Ashland vs Erwin
- In Erwin, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Ashland.
- A higher percentage of residents in Ashland hold a high school diploma at 23.0% compared to 20.2% in Erwin.
- The percentage of residents with less than a high school education is higher in Erwin at 19.7%, compared to 12.3% in Ashland.
- A higher percentage of residents in Ashland hold a bachelor's degree or higher at 16.6% 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.