Demographics details for Maryville, MO vs Paden city, WV
Population Overview
Compare main population characteristics in Maryville, MO vs Paden city, WV.
| Data | Maryville | Paden city |
|---|---|---|
| Population | 10,461 | 2,451 |
| Median Age | 25.0 years | 41.2 years |
| Median Income | $49,144 | $53,833 |
| Married Families | 28.0% | 49.0% |
| Poverty Level | 15% | 16% |
| Unemployment Rate | 3.5 | 5.3 |
Population Comparison: Maryville vs Paden city
- In Maryville, the population is higher at 10,461, compared to 2,451 in Paden city.
- The median age in Paden city is higher at 41.2 years, compared to 25.0 years in Maryville.
- Paden city has a higher median income of $53,833, compared to $49,144 in Maryville.
- In Paden city, the percentage of married families is higher at 49.0%, compared to 28.0% in Maryville.
- The poverty level is higher in Paden city at 16%, compared to 15% in Maryville.
- Paden city has a higher unemployment rate at 5.3% compared to 3.5% in Maryville.
Demographics
Demographics Maryville vs Paden city provide insight into the diversity of the communities to compare.
| Demographic | Maryville | Paden city |
|---|---|---|
| Black | 4 | Data is updating |
| White | 89 | 98 |
| Asian | 2 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maryville vs Paden city
- A higher percentage of Black residents are in Maryville at 4% compared to 0% in Paden city.
- The percentage of White residents is higher in Paden city at 98% compared to 89% in Maryville.
- The Asian population is larger in Maryville at 2% compared to 0% in Paden city.
- The Hispanic community is larger in Maryville at 3% compared to 0% in Paden city.
- Both Maryville and Paden city have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Maryville and Paden city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maryville | Paden city |
|---|---|---|
| Mental Health Not Good | 18.1% | 20.6% |
| Physical Health Not Good | 13.2% | 14.1% |
| Depression | 23.8% | 28.9% |
| Smoking | 20.1% | 22.6% |
| Binge Drinking | 17.9% | 14.5% |
| Obesity | 40.4% | 40.7% |
| Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Maryville vs Paden city
- In Paden city, a higher percentage report poor mental health at 20.6% compared to 18.1% in Maryville.
- Higher depression rates are seen in Paden city at 28.9% versus 23.8% in Maryville.
- Paden city has a higher smoking rate at 22.6% compared to 20.1% in Maryville.
- Binge drinking is more common in Maryville at 17.9% compared to 14.5% in Paden city.
- Paden city has higher obesity rates at 40.7% compared to 40.4% in Maryville.
- There is a higher percentage of disabled individuals in Paden city at 21.0% compared to 11.0% in Maryville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Maryville | Paden city |
|---|---|---|
| No Schooling | 0.1% (15) | 0.2% (4) |
| High School Diploma | 14.1% (1,471) | 27.2% (666) |
| Less than High School | 5.0% (522) | 14.0% (344) |
| Bachelor's Degree and Higher | 16.7% (1,743) | 11.9% (291) |
Education Levels Comparison: Maryville vs Paden city
- In Paden city, a larger percentage of residents lack formal schooling at 0.2% compared to 0.1% in Maryville.
- In Paden city, the rate of residents with high school diplomas is higher at 27.2% compared to 14.1% in Maryville.
- The percentage of residents with less than a high school education is higher in Paden city at 14.0%, compared to 5.0% in Maryville.
- A higher percentage of residents in Maryville hold a bachelor's degree or higher at 16.7% compared to 11.9% in Paden city.
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.