Demographics details for Wilder, VT vs Louisville, KY
Population Overview
Compare main population characteristics in Wilder, VT vs Louisville, KY.
| Data | Wilder | Louisville |
|---|---|---|
| Population | 3,634 | 246,161 |
| Median Age | 40.8 years | 36.0 years |
| Median Income | $70,758 | $60,000 |
| Married Families | 39.0% | 45.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 2.5 | 5.0 |
Population Comparison: Wilder vs Louisville
- The population in Louisville is higher at 246,161, compared to 3,634 in Wilder.
- Residents in Wilder have a higher median age of 40.8 years compared to 36.0 years in Louisville.
- Wilder has a higher median income of $70,758 compared to $60,000 in Louisville.
- In Louisville, the percentage of married families is higher at 45.0%, compared to 39.0% in Wilder.
- The poverty level is higher in Louisville at 15%, compared to 5% in Wilder.
- Louisville has a higher unemployment rate at 5.0% compared to 2.5% in Wilder.
Demographics
Demographics Wilder vs Louisville provide insight into the diversity of the communities to compare.
| Demographic | Wilder | Louisville |
|---|---|---|
| Black | 4 | 33 |
| White | 89 | 58 |
| Asian | 2 | 3 |
| Hispanic | 2 | 6 |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilder vs Louisville
- In Louisville, the percentage of Black residents is higher at 33% compared to 4% in Wilder.
- Wilder has a higher percentage of White residents at 89% compared to 58% in Louisville.
- In Louisville, the Asian population stands at 3%, greater than 2% in Wilder.
- Louisville has a higher percentage of Hispanic residents at 6%, compared to 2% in Wilder.
- More residents identify as two or more races in Wilder at 3% compared to 0% in Louisville.
- The percentage of American Indian residents is the same in both Wilder and Louisville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilder | Louisville |
|---|---|---|
| Mental Health Not Good | 15.7% | 19.7% |
| Physical Health Not Good | 8.9% | 14.7% |
| Depression | 29.3% | 25.9% |
| Smoking | 13.7% | 23.3% |
| Binge Drinking | 16.1% | 14.7% |
| Obesity | 29.3% | 41.4% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Wilder vs Louisville
- In Louisville, a higher percentage report poor mental health at 19.7% compared to 15.7% in Wilder.
- Depression is more prevalent in Wilder at 29.3% compared to 25.9% in Louisville.
- Louisville has a higher smoking rate at 23.3% compared to 13.7% in Wilder.
- Binge drinking is more common in Wilder at 16.1% compared to 14.7% in Louisville.
- Louisville has higher obesity rates at 41.4% compared to 29.3% in Wilder.
- Disability percentages are higher in Wilder at 10.0% compared to 0.0% in Louisville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wilder | Louisville |
|---|---|---|
| No Schooling | 0.3% (10) | 0.0% (Data is updating) |
| High School Diploma | 15.4% (558) | 0.0% (Data is updating) |
| Less than High School | 2.1% (76) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 44.6% (1,620) | 0.0% (Data is updating) |
Education Levels Comparison: Wilder vs Louisville
- A higher percentage of residents in Wilder have no formal schooling at 0.3% compared to 0.0% in Louisville.
- A higher percentage of residents in Wilder hold a high school diploma at 15.4% compared to 0.0% in Louisville.
- More residents in Wilder have less than a high school education at 2.1% compared to 0.0% in Louisville.
- A higher percentage of residents in Wilder hold a bachelor's degree or higher at 44.6% compared to 0.0% in Louisville.
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.