Demographics details for Cornelia, GA vs Odessa, MN
Population Overview
Compare main population characteristics in Cornelia, GA vs Odessa, MN.
| Data | Cornelia | Odessa |
|---|---|---|
| Population | 5,004 | 104 |
| Median Age | 30.4 years | 49.4 years |
| Median Income | $46,211 | $46,875 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.5 | 2.3 |
Population Comparison: Cornelia vs Odessa
- In Cornelia, the population is higher at 5,004, compared to 104 in Odessa.
- The median age in Odessa is higher at 49.4 years, compared to 30.4 years in Cornelia.
- Odessa has a higher median income of $46,875, compared to $46,211 in Cornelia.
- In Odessa, the percentage of married families is higher at 38.0%, compared to 32.0% in Cornelia.
- Cornelia has a higher poverty level at 12% compared to 0% in Odessa.
- The unemployment rate in Cornelia is higher at 3.5%, compared to 2.3% in Odessa.
Demographics
Demographics Cornelia vs Odessa provide insight into the diversity of the communities to compare.
| Demographic | Cornelia | Odessa |
|---|---|---|
| Black | 9 | Data is updating |
| White | 43 | 88 |
| Asian | 3 | 12 |
| Hispanic | 32 | Data is updating |
| Two or More Races | 13 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cornelia vs Odessa
- A higher percentage of Black residents are in Cornelia at 9% compared to 0% in Odessa.
- The percentage of White residents is higher in Odessa at 88% compared to 43% in Cornelia.
- In Odessa, the Asian population stands at 12%, greater than 3% in Cornelia.
- The Hispanic community is larger in Cornelia at 32% compared to 0% in Odessa.
- More residents identify as two or more races in Cornelia at 13% compared to 0% in Odessa.
- The percentage of American Indian residents is the same in both Cornelia and Odessa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cornelia | Odessa |
|---|---|---|
| Mental Health Not Good | 18.2% | 14.7% |
| Physical Health Not Good | 14.7% | 9.1% |
| Depression | 22.4% | 22.5% |
| Smoking | 20.2% | 17.9% |
| Binge Drinking | 14.4% | 21.4% |
| Obesity | 34.6% | 36.8% |
| Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Cornelia vs Odessa
- More residents in Cornelia report poor mental health at 18.2% compared to 14.7% in Odessa.
- Higher depression rates are seen in Odessa at 22.5% versus 22.4% in Cornelia.
- Smoking is more prevalent in Cornelia at 20.2% compared to 17.9% in Odessa.
- More residents engage in binge drinking in Odessa at 21.4% compared to 14.4% in Cornelia.
- Odessa has higher obesity rates at 36.8% compared to 34.6% in Cornelia.
- There is a higher percentage of disabled individuals in Odessa at 18.0% compared to 13.0% in Cornelia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cornelia | Odessa |
|---|---|---|
| No Schooling | 3.6% (179) | 1.9% (2) |
| High School Diploma | 9.5% (473) | 26.0% (27) |
| Less than High School | 35.8% (1,790) | 13.5% (14) |
| Bachelor's Degree and Higher | 12.5% (625) | 26.0% (27) |
Education Levels Comparison: Cornelia vs Odessa
- A higher percentage of residents in Cornelia have no formal schooling at 3.6% compared to 1.9% in Odessa.
- In Odessa, the rate of residents with high school diplomas is higher at 26.0% compared to 9.5% in Cornelia.
- More residents in Cornelia have less than a high school education at 35.8% compared to 13.5% in Odessa.
- In Odessa, a larger share of residents have a bachelor's degree or higher at 26.0% compared to 12.5% in Cornelia.
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.