Demographics details for Minden, NV vs Sutherland, VA
Population Overview
Compare main population characteristics in Minden, NV vs Sutherland, VA.
| Data | Minden | Sutherland |
|---|---|---|
| Population | 3,140 | 2,000 |
| Median Age | 51.0 years | 45.0 years |
| Median Income | $87,778 | $60,000 |
| Married Families | 55.0% | 60.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 4.1 | 5.0 |
Population Comparison: Minden vs Sutherland
- In Minden, the population is higher at 3,140, compared to 2,000 in Sutherland.
- Residents in Minden have a higher median age of 51.0 years compared to 45.0 years in Sutherland.
- Minden has a higher median income of $87,778 compared to $60,000 in Sutherland.
- In Sutherland, the percentage of married families is higher at 60.0%, compared to 55.0% in Minden.
- The poverty level is higher in Sutherland at 10%, compared to 6% in Minden.
- Sutherland has a higher unemployment rate at 5.0% compared to 4.1% in Minden.
Demographics
Demographics Minden vs Sutherland provide insight into the diversity of the communities to compare.
| Demographic | Minden | Sutherland |
|---|---|---|
| Black | Data is updating | 10 |
| White | 84 | 80 |
| Asian | 2 | 5 |
| Hispanic | 8 | 5 |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Minden vs Sutherland
- In Sutherland, the percentage of Black residents is higher at 10% compared to 0% in Minden.
- Minden has a higher percentage of White residents at 84% compared to 80% in Sutherland.
- In Sutherland, the Asian population stands at 5%, greater than 2% in Minden.
- The Hispanic community is larger in Minden at 8% compared to 5% in Sutherland.
- More residents identify as two or more races in Minden at 6% compared to 0% in Sutherland.
- The percentage of American Indian residents is the same in both Minden and Sutherland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Minden | Sutherland |
|---|---|---|
| Mental Health Not Good | 16.9% | Data is updating% |
| Physical Health Not Good | 10.9% | Data is updating% |
| Depression | 21.0% | Data is updating% |
| Smoking | 13.7% | Data is updating% |
| Binge Drinking | 17.8% | Data is updating% |
| Obesity | 28.2% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Minden vs Sutherland
- More residents in Minden report poor mental health at 16.9% compared to 0.0% in Sutherland.
- Depression is more prevalent in Minden at 21.0% compared to 0.0% in Sutherland.
- Smoking is more prevalent in Minden at 13.7% compared to 0.0% in Sutherland.
- Binge drinking is more common in Minden at 17.8% compared to 0.0% in Sutherland.
- Obesity rates are higher in Minden at 28.2% compared to 0.0% in Sutherland.
- Disability percentages are higher in Minden at 17.0% compared to 0.0% in Sutherland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Minden | Sutherland |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 17.0% (534) | 0.0% (Data is updating) |
| Less than High School | 1.6% (50) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.0% (879) | 0.0% (Data is updating) |
Education Levels Comparison: Minden vs Sutherland
- The percentage of residents with no formal schooling is the same in both Minden and Sutherland at 0.0%.
- A higher percentage of residents in Minden hold a high school diploma at 17.0% compared to 0.0% in Sutherland.
- More residents in Minden have less than a high school education at 1.6% compared to 0.0% in Sutherland.
- A higher percentage of residents in Minden hold a bachelor's degree or higher at 28.0% compared to 0.0% in Sutherland.
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.