Demographics details for Vienna, GA vs Voorheesville, NY
Population Overview
Compare main population characteristics in Vienna, GA vs Voorheesville, NY.
| Data | Vienna | Voorheesville |
|---|---|---|
| Population | 2,815 | 2,814 |
| Median Age | 39.1 years | 38.2 years |
| Median Income | $38,371 | $102,885 |
| Married Families | 24.0% | 42.0% |
| Poverty Level | 21% | 4% |
| Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Vienna vs Voorheesville
- In Vienna, the population is higher at 2,815, compared to 2,814 in Voorheesville.
- Residents in Vienna have a higher median age of 39.1 years compared to 38.2 years in Voorheesville.
- Voorheesville has a higher median income of $102,885, compared to $38,371 in Vienna.
- In Voorheesville, the percentage of married families is higher at 42.0%, compared to 24.0% in Vienna.
- Vienna has a higher poverty level at 21% compared to 4% in Voorheesville.
- The unemployment rate in Vienna is higher at 4.5%, compared to 3.0% in Voorheesville.
Demographics
Demographics Vienna vs Voorheesville provide insight into the diversity of the communities to compare.
| Demographic | Vienna | Voorheesville |
|---|---|---|
| Black | 81 | Data is updating |
| White | 2 | 92 |
| Asian | Data is updating | 1 |
| Hispanic | 12 | 3 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Vienna vs Voorheesville
- A higher percentage of Black residents are in Vienna at 81% compared to 0% in Voorheesville.
- The percentage of White residents is higher in Voorheesville at 92% compared to 2% in Vienna.
- In Voorheesville, the Asian population stands at 1%, greater than 0% in Vienna.
- The Hispanic community is larger in Vienna at 12% compared to 3% in Voorheesville.
- More residents identify as two or more races in Vienna at 5% compared to 4% in Voorheesville.
- The percentage of American Indian residents is the same in both Vienna and Voorheesville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vienna | Voorheesville |
|---|---|---|
| Mental Health Not Good | 18.4% | 14.5% |
| Physical Health Not Good | 14.4% | 7.6% |
| Depression | 19.5% | 24.3% |
| Smoking | 21.5% | 12.6% |
| Binge Drinking | 12.8% | 20.1% |
| Obesity | 42.9% | 29.0% |
| Disability Percentage | 27.0% | 9.0% |
Health Statistics Comparison: Vienna vs Voorheesville
- More residents in Vienna report poor mental health at 18.4% compared to 14.5% in Voorheesville.
- Higher depression rates are seen in Voorheesville at 24.3% versus 19.5% in Vienna.
- Smoking is more prevalent in Vienna at 21.5% compared to 12.6% in Voorheesville.
- More residents engage in binge drinking in Voorheesville at 20.1% compared to 12.8% in Vienna.
- Obesity rates are higher in Vienna at 42.9% compared to 29.0% in Voorheesville.
- Disability percentages are higher in Vienna at 27.0% compared to 9.0% in Voorheesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vienna | Voorheesville |
|---|---|---|
| No Schooling | 0.9% (24) | 0.1% (2) |
| High School Diploma | 25.9% (729) | 11.3% (319) |
| Less than High School | 23.0% (648) | 1.3% (37) |
| Bachelor's Degree and Higher | 8.5% (240) | 34.1% (959) |
Education Levels Comparison: Vienna vs Voorheesville
- A higher percentage of residents in Vienna have no formal schooling at 0.9% compared to 0.1% in Voorheesville.
- A higher percentage of residents in Vienna hold a high school diploma at 25.9% compared to 11.3% in Voorheesville.
- More residents in Vienna have less than a high school education at 23.0% compared to 1.3% in Voorheesville.
- In Voorheesville, a larger share of residents have a bachelor's degree or higher at 34.1% compared to 8.5% in Vienna.
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.