Demographics details for Falling waters, WV vs Winona, MS
Population Overview
Compare main population characteristics in Falling waters, WV vs Winona, MS.
| Data | Falling waters | Winona |
|---|---|---|
| Population | 2,150 | 4,159 |
| Median Age | 32.2 years | 33.7 years |
| Median Income | $84,038 | $26,250 |
| Married Families | 29.0% | 21.0% |
| Poverty Level | 9% | 24% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Falling waters vs Winona
- The population in Winona is higher at 4,159, compared to 2,150 in Falling waters.
- The median age in Winona is higher at 33.7 years, compared to 32.2 years in Falling waters.
- Falling waters has a higher median income of $84,038 compared to $26,250 in Winona.
- A higher percentage of married families is found in Falling waters at 29.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 9% in Falling waters.
- Winona has a higher unemployment rate at 3.6% compared to 3.5% in Falling waters.
Demographics
Demographics Falling waters vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Falling waters | Winona |
|---|---|---|
| Black | 6 | 62 |
| White | 92 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Falling waters vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 6% in Falling waters.
- Falling waters has a higher percentage of White residents at 92% compared to 38% in Winona.
- Both Falling waters and Winona have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Falling waters and Winona at 0%.
- More residents identify as two or more races in Falling waters at 2% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Falling waters and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falling waters | Winona |
|---|---|---|
| Mental Health Not Good | 18.5% | 19.3% |
| Physical Health Not Good | 11.9% | 15.0% |
| Depression | 25.7% | 22.3% |
| Smoking | 18.7% | 24.8% |
| Binge Drinking | 15.2% | 11.8% |
| Obesity | 37.6% | 46.4% |
| Disability Percentage | 24.0% | 25.0% |
Health Statistics Comparison: Falling waters vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 18.5% in Falling waters.
- Depression is more prevalent in Falling waters at 25.7% compared to 22.3% in Winona.
- Winona has a higher smoking rate at 24.8% compared to 18.7% in Falling waters.
- Binge drinking is more common in Falling waters at 15.2% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 37.6% in Falling waters.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 24.0% in Falling waters.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falling waters | Winona |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (87) |
| High School Diploma | 22.4% (482) | 11.4% (473) |
| Less than High School | 4.7% (102) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 11.0% (237) | 9.3% (388) |
Education Levels Comparison: Falling waters vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Falling waters.
- A higher percentage of residents in Falling waters hold a high school diploma at 22.4% compared to 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 4.7% in Falling waters.
- A higher percentage of residents in Falling waters hold a bachelor's degree or higher at 11.0% compared to 9.3% in Winona.
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.