Demographics details for Villa ridge, MO vs Bridgeport, WV
Population Overview
Compare main population characteristics in Villa ridge, MO vs Bridgeport, WV.
| Data | Villa ridge | Bridgeport |
|---|---|---|
| Population | 2,971 | 9,310 |
| Median Age | 35.0 years | 45.1 years |
| Median Income | $71,750 | $96,063 |
| Married Families | 37.0% | 46.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Villa ridge vs Bridgeport
- The population in Bridgeport is higher at 9,310, compared to 2,971 in Villa ridge.
- The median age in Bridgeport is higher at 45.1 years, compared to 35.0 years in Villa ridge.
- Bridgeport has a higher median income of $96,063, compared to $71,750 in Villa ridge.
- In Bridgeport, the percentage of married families is higher at 46.0%, compared to 37.0% in Villa ridge.
- The poverty level is identical in both Villa ridge and Bridgeport at 8%.
- Bridgeport has a higher unemployment rate at 4.5% compared to 2.5% in Villa ridge.
Demographics
Demographics Villa ridge vs Bridgeport provide insight into the diversity of the communities to compare.
| Demographic | Villa ridge | Bridgeport |
|---|---|---|
| Black | 1 | 2 |
| White | 92 | 90 |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 3 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Villa ridge vs Bridgeport
- In Bridgeport, the percentage of Black residents is higher at 2% compared to 1% in Villa ridge.
- Villa ridge has a higher percentage of White residents at 92% compared to 90% in Bridgeport.
- In Bridgeport, the Asian population stands at 3%, greater than 0% in Villa ridge.
- The Hispanic community is larger in Villa ridge at 4% compared to 3% in Bridgeport.
- More residents identify as two or more races in Villa ridge at 3% compared to 2% in Bridgeport.
- The percentage of American Indian residents is the same in both Villa ridge and Bridgeport at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Villa ridge | Bridgeport |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.4% |
| Physical Health Not Good | 10.5% | 9.5% |
| Depression | 24.2% | 24.8% |
| Smoking | 17.2% | 13.3% |
| Binge Drinking | 19.7% | 15.1% |
| Obesity | 36.2% | 32.2% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Villa ridge vs Bridgeport
- More residents in Villa ridge report poor mental health at 16.3% compared to 15.4% in Bridgeport.
- Higher depression rates are seen in Bridgeport at 24.8% versus 24.2% in Villa ridge.
- Smoking is more prevalent in Villa ridge at 17.2% compared to 13.3% in Bridgeport.
- Binge drinking is more common in Villa ridge at 19.7% compared to 15.1% in Bridgeport.
- Obesity rates are higher in Villa ridge at 36.2% compared to 32.2% in Bridgeport.
- Disability percentages are higher in Villa ridge at 13.0% compared to 10.0% in Bridgeport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Villa ridge | Bridgeport |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (6) |
| High School Diploma | 18.6% (554) | 13.2% (1,231) |
| Less than High School | 8.8% (261) | 4.0% (371) |
| Bachelor's Degree and Higher | 10.6% (316) | 41.9% (3,903) |
Education Levels Comparison: Villa ridge vs Bridgeport
- In Bridgeport, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Villa ridge.
- A higher percentage of residents in Villa ridge hold a high school diploma at 18.6% compared to 13.2% in Bridgeport.
- More residents in Villa ridge have less than a high school education at 8.8% compared to 4.0% in Bridgeport.
- In Bridgeport, a larger share of residents have a bachelor's degree or higher at 41.9% compared to 10.6% in Villa ridge.
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.