Demographics details for Odessa, MN vs Georgetown, IN
Population Overview
Compare main population characteristics in Odessa, MN vs Georgetown, IN.
| Data | Odessa | Georgetown |
|---|---|---|
| Population | 104 | 4,497 |
| Median Age | 49.4 years | 42.0 years |
| Median Income | $46,875 | $65,000 |
| Married Families | 38.0% | 65.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 2.3 | 3.0 |
Population Comparison: Odessa vs Georgetown
- The population in Georgetown is higher at 4,497, compared to 104 in Odessa.
- Residents in Odessa have a higher median age of 49.4 years compared to 42.0 years in Georgetown.
- Georgetown has a higher median income of $65,000, compared to $46,875 in Odessa.
- In Georgetown, the percentage of married families is higher at 65.0%, compared to 38.0% in Odessa.
- The poverty level is higher in Georgetown at 5%, compared to 0% in Odessa.
- Georgetown has a higher unemployment rate at 3.0% compared to 2.3% in Odessa.
Demographics
Demographics Odessa vs Georgetown provide insight into the diversity of the communities to compare.
| Demographic | Odessa | Georgetown |
|---|---|---|
| Black | Data is updating | 5 |
| White | 88 | 90 |
| Asian | 12 | 2 |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Odessa vs Georgetown
- In Georgetown, the percentage of Black residents is higher at 5% compared to 0% in Odessa.
- The percentage of White residents is higher in Georgetown at 90% compared to 88% in Odessa.
- The Asian population is larger in Odessa at 12% compared to 2% in Georgetown.
- Georgetown has a higher percentage of Hispanic residents at 2%, compared to 0% in Odessa.
- The percentage of residents identifying as two or more races is higher in Georgetown at 1%, compared to 0% in Odessa.
- The percentage of American Indian residents is the same in both Odessa and Georgetown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Odessa | Georgetown |
|---|---|---|
| Mental Health Not Good | 14.7% | Data is updating% |
| Physical Health Not Good | 9.1% | Data is updating% |
| Depression | 22.5% | Data is updating% |
| Smoking | 17.9% | Data is updating% |
| Binge Drinking | 21.4% | Data is updating% |
| Obesity | 36.8% | Data is updating% |
| Disability Percentage | 18.0% | Data is updating% |
Health Statistics Comparison: Odessa vs Georgetown
- More residents in Odessa report poor mental health at 14.7% compared to 0.0% in Georgetown.
- Depression is more prevalent in Odessa at 22.5% compared to 0.0% in Georgetown.
- Smoking is more prevalent in Odessa at 17.9% compared to 0.0% in Georgetown.
- Binge drinking is more common in Odessa at 21.4% compared to 0.0% in Georgetown.
- Obesity rates are higher in Odessa at 36.8% compared to 0.0% in Georgetown.
- Disability percentages are higher in Odessa at 18.0% compared to 0.0% in Georgetown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Odessa | Georgetown |
|---|---|---|
| No Schooling | 1.9% (2) | 0.0% (Data is updating) |
| High School Diploma | 26.0% (27) | 0.0% (Data is updating) |
| Less than High School | 13.5% (14) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 26.0% (27) | 0.0% (Data is updating) |
Education Levels Comparison: Odessa vs Georgetown
- A higher percentage of residents in Odessa have no formal schooling at 1.9% compared to 0.0% in Georgetown.
- A higher percentage of residents in Odessa hold a high school diploma at 26.0% compared to 0.0% in Georgetown.
- More residents in Odessa have less than a high school education at 13.5% compared to 0.0% in Georgetown.
- A higher percentage of residents in Odessa hold a bachelor's degree or higher at 26.0% compared to 0.0% in Georgetown.
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.