Demographics details for Dexter, MN vs Venus, PA
Population Overview
Compare main population characteristics in Dexter, MN vs Venus, PA.
| Data | Dexter | Venus |
|---|---|---|
| Population | 323 | 190 |
| Median Age | 45.8 years | 34.0 years |
| Median Income | $84,375 | $47,000 |
| Married Families | 59.0% | 44.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Dexter vs Venus
- In Dexter, the population is higher at 323, compared to 190 in Venus.
- Residents in Dexter have a higher median age of 45.8 years compared to 34.0 years in Venus.
- Dexter has a higher median income of $84,375 compared to $47,000 in Venus.
- A higher percentage of married families is found in Dexter at 59.0% compared to 44.0% in Venus.
- The poverty level is higher in Venus at 12%, compared to 7% in Dexter.
- Venus has a higher unemployment rate at 4.0% compared to 3.5% in Dexter.
Demographics
Demographics Dexter vs Venus provide insight into the diversity of the communities to compare.
| Demographic | Dexter | Venus |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dexter vs Venus
- The percentage of Black residents is the same in both Dexter and Venus at 0%.
- The percentage of White residents is the same in both Dexter and Venus at 100%.
- Both Dexter and Venus have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Dexter and Venus at 0%.
- Both Dexter and Venus have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Dexter and Venus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dexter | Venus |
|---|---|---|
| Mental Health Not Good | 15.5% | Data is updating% |
| Physical Health Not Good | 9.4% | Data is updating% |
| Depression | 22.6% | Data is updating% |
| Smoking | 18.5% | Data is updating% |
| Binge Drinking | 20.4% | Data is updating% |
| Obesity | 34.1% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Dexter vs Venus
- More residents in Dexter report poor mental health at 15.5% compared to 0.0% in Venus.
- Depression is more prevalent in Dexter at 22.6% compared to 0.0% in Venus.
- Smoking is more prevalent in Dexter at 18.5% compared to 0.0% in Venus.
- Binge drinking is more common in Dexter at 20.4% compared to 0.0% in Venus.
- Obesity rates are higher in Dexter at 34.1% compared to 0.0% in Venus.
- Disability percentages are higher in Dexter at 14.0% compared to 0.0% in Venus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dexter | Venus |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 31.0% (100) | 0.0% (Data is updating) |
| Less than High School | 9.3% (30) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 7.1% (23) | 0.0% (Data is updating) |
Education Levels Comparison: Dexter vs Venus
- The percentage of residents with no formal schooling is the same in both Dexter and Venus at 0.0%.
- A higher percentage of residents in Dexter hold a high school diploma at 31.0% compared to 0.0% in Venus.
- More residents in Dexter have less than a high school education at 9.3% compared to 0.0% in Venus.
- A higher percentage of residents in Dexter hold a bachelor's degree or higher at 7.1% compared to 0.0% in Venus.
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.