Demographics details for Vidalia, GA vs Mountain home, ID
Population Overview
Compare main population characteristics in Vidalia, GA vs Mountain home, ID.
| Data | Vidalia | Mountain home |
|---|---|---|
| Population | 10,668 | 16,469 |
| Median Age | 37.4 years | 31.3 years |
| Median Income | $47,124 | $53,108 |
| Married Families | 32.0% | 36.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 5.0 | 3.1 |
Population Comparison: Vidalia vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 10,668 in Vidalia.
- Residents in Vidalia have a higher median age of 37.4 years compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108, compared to $47,124 in Vidalia.
- In Mountain home, the percentage of married families is higher at 36.0%, compared to 32.0% in Vidalia.
- Vidalia has a higher poverty level at 14% compared to 12% in Mountain home.
- The unemployment rate in Vidalia is higher at 5.0%, compared to 3.1% in Mountain home.
Demographics
Demographics Vidalia vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Vidalia | Mountain home |
|---|---|---|
| Black | 39 | 2 |
| White | 48 | 69 |
| Asian | 2 | 4 |
| Hispanic | 4 | 14 |
| Two or More Races | 7 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Vidalia vs Mountain home
- A higher percentage of Black residents are in Vidalia at 39% compared to 2% in Mountain home.
- The percentage of White residents is higher in Mountain home at 69% compared to 48% in Vidalia.
- In Mountain home, the Asian population stands at 4%, greater than 2% in Vidalia.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 4% in Vidalia.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 7% in Vidalia.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Vidalia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vidalia | Mountain home |
|---|---|---|
| Mental Health Not Good | 18.6% | 16.9% |
| Physical Health Not Good | 14.2% | 12.6% |
| Depression | 21.4% | 22.4% |
| Smoking | 20.9% | 18.3% |
| Binge Drinking | 13.9% | 15.8% |
| Obesity | 42.2% | 36.1% |
| Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: Vidalia vs Mountain home
- More residents in Vidalia report poor mental health at 18.6% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Mountain home at 22.4% versus 21.4% in Vidalia.
- Smoking is more prevalent in Vidalia at 20.9% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Mountain home at 15.8% compared to 13.9% in Vidalia.
- Obesity rates are higher in Vidalia at 42.2% compared to 36.1% in Mountain home.
- Disability percentages are the same in both Vidalia and Mountain home at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vidalia | Mountain home |
|---|---|---|
| No Schooling | 0.9% (97) | 1.7% (273) |
| High School Diploma | 14.4% (1,539) | 16.3% (2,690) |
| Less than High School | 7.9% (846) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 14.3% (1,525) | 10.4% (1,720) |
Education Levels Comparison: Vidalia vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.9% in Vidalia.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 14.4% in Vidalia.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 7.9% in Vidalia.
- A higher percentage of residents in Vidalia hold a bachelor's degree or higher at 14.3% compared to 10.4% in Mountain home.
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.