Demographics details for Onalaska, TX vs Venus, PA
Population Overview
Compare main population characteristics in Onalaska, TX vs Venus, PA.
| Data | Onalaska | Venus |
|---|---|---|
| Population | 3,205 | 190 |
| Median Age | 45.2 years | 34.0 years |
| Median Income | $56,168 | $47,000 |
| Married Families | 35.0% | 44.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Onalaska vs Venus
- In Onalaska, the population is higher at 3,205, compared to 190 in Venus.
- Residents in Onalaska have a higher median age of 45.2 years compared to 34.0 years in Venus.
- Onalaska has a higher median income of $56,168 compared to $47,000 in Venus.
- In Venus, the percentage of married families is higher at 44.0%, compared to 35.0% in Onalaska.
- The poverty level is identical in both Onalaska and Venus at 12%.
- The unemployment rate in Onalaska is higher at 4.5%, compared to 4.0% in Venus.
Demographics
Demographics Onalaska vs Venus provide insight into the diversity of the communities to compare.
| Demographic | Onalaska | Venus |
|---|---|---|
| Black | 1 | Data is updating |
| White | 91 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Onalaska vs Venus
- A higher percentage of Black residents are in Onalaska at 1% compared to 0% in Venus.
- The percentage of White residents is higher in Venus at 100% compared to 91% in Onalaska.
- Both Onalaska and Venus have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Onalaska at 3% compared to 0% in Venus.
- More residents identify as two or more races in Onalaska at 5% compared to 0% in Venus.
- The percentage of American Indian residents is the same in both Onalaska and Venus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Onalaska | Venus |
|---|---|---|
| Mental Health Not Good | 19.0% | Data is updating% |
| Physical Health Not Good | 12.5% | Data is updating% |
| Depression | 26.0% | Data is updating% |
| Smoking | 20.4% | Data is updating% |
| Binge Drinking | 19.4% | Data is updating% |
| Obesity | 39.9% | Data is updating% |
| Disability Percentage | 24.0% | Data is updating% |
Health Statistics Comparison: Onalaska vs Venus
- More residents in Onalaska report poor mental health at 19.0% compared to 0.0% in Venus.
- Depression is more prevalent in Onalaska at 26.0% compared to 0.0% in Venus.
- Smoking is more prevalent in Onalaska at 20.4% compared to 0.0% in Venus.
- Binge drinking is more common in Onalaska at 19.4% compared to 0.0% in Venus.
- Obesity rates are higher in Onalaska at 39.9% compared to 0.0% in Venus.
- Disability percentages are higher in Onalaska at 24.0% 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 | Onalaska | Venus |
|---|---|---|
| No Schooling | 0.7% (21) | 0.0% (Data is updating) |
| High School Diploma | 15.3% (491) | 0.0% (Data is updating) |
| Less than High School | 21.5% (689) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 5.0% (161) | 0.0% (Data is updating) |
Education Levels Comparison: Onalaska vs Venus
- A higher percentage of residents in Onalaska have no formal schooling at 0.7% compared to 0.0% in Venus.
- A higher percentage of residents in Onalaska hold a high school diploma at 15.3% compared to 0.0% in Venus.
- More residents in Onalaska have less than a high school education at 21.5% compared to 0.0% in Venus.
- A higher percentage of residents in Onalaska hold a bachelor's degree or higher at 5.0% 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.