Demographics details for Ovid, CO vs Georgetown, IN
Population Overview
Compare main population characteristics in Ovid, CO vs Georgetown, IN.
| Data | Ovid | Georgetown |
|---|---|---|
| Population | 259 | 4,497 |
| Median Age | 55.0 years | 42.0 years |
| Median Income | $28,409 | $65,000 |
| Married Families | 43.0% | 65.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.0 | 3.0 |
Population Comparison: Ovid vs Georgetown
- The population in Georgetown is higher at 4,497, compared to 259 in Ovid.
- Residents in Ovid have a higher median age of 55.0 years compared to 42.0 years in Georgetown.
- Georgetown has a higher median income of $65,000, compared to $28,409 in Ovid.
- In Georgetown, the percentage of married families is higher at 65.0%, compared to 43.0% in Ovid.
- Ovid has a higher poverty level at 10% compared to 5% in Georgetown.
- The unemployment rate in Ovid is higher at 4.0%, compared to 3.0% in Georgetown.
Demographics
Demographics Ovid vs Georgetown provide insight into the diversity of the communities to compare.
| Demographic | Ovid | Georgetown |
|---|---|---|
| Black | Data is updating | 5 |
| White | 60 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | 29 | 2 |
| Two or More Races | 11 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ovid vs Georgetown
- In Georgetown, the percentage of Black residents is higher at 5% compared to 0% in Ovid.
- The percentage of White residents is higher in Georgetown at 90% compared to 60% in Ovid.
- In Georgetown, the Asian population stands at 2%, greater than 0% in Ovid.
- The Hispanic community is larger in Ovid at 29% compared to 2% in Georgetown.
- More residents identify as two or more races in Ovid at 11% compared to 1% in Georgetown.
- The percentage of American Indian residents is the same in both Ovid and Georgetown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ovid | Georgetown |
|---|---|---|
| Mental Health Not Good | 17.7% | Data is updating% |
| Physical Health Not Good | 12.8% | Data is updating% |
| Depression | 23.8% | Data is updating% |
| Smoking | 18.9% | Data is updating% |
| Binge Drinking | 18.9% | Data is updating% |
| Obesity | 29.0% | Data is updating% |
| Disability Percentage | 22.0% | Data is updating% |
Health Statistics Comparison: Ovid vs Georgetown
- More residents in Ovid report poor mental health at 17.7% compared to 0.0% in Georgetown.
- Depression is more prevalent in Ovid at 23.8% compared to 0.0% in Georgetown.
- Smoking is more prevalent in Ovid at 18.9% compared to 0.0% in Georgetown.
- Binge drinking is more common in Ovid at 18.9% compared to 0.0% in Georgetown.
- Obesity rates are higher in Ovid at 29.0% compared to 0.0% in Georgetown.
- Disability percentages are higher in Ovid at 22.0% 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 | Ovid | Georgetown |
|---|---|---|
| No Schooling | 1.2% (3) | 0.0% (Data is updating) |
| High School Diploma | 21.2% (55) | 0.0% (Data is updating) |
| Less than High School | 11.6% (30) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.2% (42) | 0.0% (Data is updating) |
Education Levels Comparison: Ovid vs Georgetown
- A higher percentage of residents in Ovid have no formal schooling at 1.2% compared to 0.0% in Georgetown.
- A higher percentage of residents in Ovid hold a high school diploma at 21.2% compared to 0.0% in Georgetown.
- More residents in Ovid have less than a high school education at 11.6% compared to 0.0% in Georgetown.
- A higher percentage of residents in Ovid hold a bachelor's degree or higher at 16.2% 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.