Demographics details for Erwin, TN vs College station, TX
Population Overview
Compare main population characteristics in Erwin, TN vs College station, TX.
Data | Erwin | College station |
---|---|---|
Population | 5,953 | 124,319 |
Median Age | 46.8 years | 22.9 years |
Median Income | $40,670 | $52,397 |
Married Families | 48.0% | 26.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Erwin vs College station
- The population in College station is higher at 124,319, compared to 5,953 in Erwin.
- Residents in Erwin have a higher median age of 46.8 years compared to 22.9 years in College station.
- College station has a higher median income of $52,397, compared to $40,670 in Erwin.
- A higher percentage of married families is found in Erwin at 48.0% compared to 26.0% in College station.
- The poverty level is identical in both Erwin and College station at 12%.
- The unemployment rate in Erwin is higher at 4.5%, compared to 3.7% in College station.
Demographics
Demographics Erwin vs College station provide insight into the diversity of the communities to compare.
Demographic | Erwin | College station |
---|---|---|
Black | Data is updating | 8 |
White | 87 | 56 |
Asian | Data is updating | 10 |
Hispanic | 8 | 17 |
Two or More Races | 5 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Erwin vs College station
- In College station, the percentage of Black residents is higher at 8% compared to 0% in Erwin.
- Erwin has a higher percentage of White residents at 87% compared to 56% in College station.
- In College station, the Asian population stands at 10%, greater than 0% in Erwin.
- College station has a higher percentage of Hispanic residents at 17%, compared to 8% in Erwin.
- The percentage of residents identifying as two or more races is higher in College station at 9%, compared to 5% in Erwin.
- The percentage of American Indian residents is the same in both Erwin and College station at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Erwin | College station |
---|---|---|
Mental Health Not Good | 20.2% | 16.6% |
Physical Health Not Good | 14.1% | 10.4% |
Depression | 29.7% | 23.0% |
Smoking | 23.6% | 14.4% |
Binge Drinking | 15.9% | 18.1% |
Obesity | 38.0% | 32.1% |
Disability Percentage | 21.0% | 6.0% |
Health Statistics Comparison: Erwin vs College station
- More residents in Erwin report poor mental health at 20.2% compared to 16.6% in College station.
- Depression is more prevalent in Erwin at 29.7% compared to 23.0% in College station.
- Smoking is more prevalent in Erwin at 23.6% compared to 14.4% in College station.
- More residents engage in binge drinking in College station at 18.1% compared to 15.9% in Erwin.
- Obesity rates are higher in Erwin at 38.0% compared to 32.1% in College station.
- Disability percentages are higher in Erwin at 21.0% compared to 6.0% in College station.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Erwin | College station |
---|---|---|
No Schooling | 0.3% (15) | 0.5% (601) |
High School Diploma | 20.2% (1,201) | 4.7% (5,861) |
Less than High School | 19.7% (1,170) | 3.2% (4,000) |
Bachelor's Degree and Higher | 11.7% (698) | 24.2% (30,039) |
Education Levels Comparison: Erwin vs College station
- In College station, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Erwin.
- A higher percentage of residents in Erwin hold a high school diploma at 20.2% compared to 4.7% in College station.
- More residents in Erwin have less than a high school education at 19.7% compared to 3.2% in College station.
- In College station, a larger share of residents have a bachelor's degree or higher at 24.2% 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.