Demographics details for Winona, MS vs Washington, KS
Population Overview
Compare main population characteristics in Winona, MS vs Washington, KS.
| Data | Winona | Washington |
|---|---|---|
| Population | 4,159 | 5,501 |
| Median Age | 33.7 years | 44.9 years |
| Median Income | $26,250 | $59,432 |
| Married Families | 21.0% | 46.0% |
| Poverty Level | 24% | 12% |
| Unemployment Rate | 3.6 | 3.0 |
Population Comparison: Winona vs Washington
- The population in Washington is higher at 5,501, compared to 4,159 in Winona.
- The median age in Washington is higher at 44.9 years, compared to 33.7 years in Winona.
- Washington has a higher median income of $59,432, compared to $26,250 in Winona.
- In Washington, the percentage of married families is higher at 46.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 12% in Washington.
- The unemployment rate in Winona is higher at 3.6%, compared to 3.0% in Washington.
Demographics
Demographics Winona vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Winona | Washington |
|---|---|---|
| Black | 62 | Data is updating |
| White | 38 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 4 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Washington
- A higher percentage of Black residents are in Winona at 62% compared to 0% in Washington.
- The percentage of White residents is higher in Washington at 93% compared to 38% in Winona.
- In Washington, the Asian population stands at 1%, greater than 0% in Winona.
- Washington has a higher percentage of Hispanic residents at 4%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Washington at 2%, compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Winona and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Washington |
|---|---|---|
| Mental Health Not Good | 19.3% | 15.8% |
| Physical Health Not Good | 15.0% | 10.1% |
| Depression | 22.3% | 20.9% |
| Smoking | 24.8% | 18.8% |
| Binge Drinking | 11.8% | 20.4% |
| Obesity | 46.4% | 42.1% |
| Disability Percentage | 25.0% | 14.0% |
Health Statistics Comparison: Winona vs Washington
- More residents in Winona report poor mental health at 19.3% compared to 15.8% in Washington.
- Depression is more prevalent in Winona at 22.3% compared to 20.9% in Washington.
- Smoking is more prevalent in Winona at 24.8% compared to 18.8% in Washington.
- More residents engage in binge drinking in Washington at 20.4% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 42.1% in Washington.
- Disability percentages are higher in Winona at 25.0% compared to 14.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Washington |
|---|---|---|
| No Schooling | 2.1% (87) | 0.8% (45) |
| High School Diploma | 11.4% (473) | 24.9% (1,368) |
| Less than High School | 28.5% (1,186) | 9.0% (494) |
| Bachelor's Degree and Higher | 9.3% (388) | 15.8% (869) |
Education Levels Comparison: Winona vs Washington
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.8% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 24.9% compared to 11.4% in Winona.
- More residents in Winona have less than a high school education at 28.5% compared to 9.0% in Washington.
- In Washington, a larger share of residents have a bachelor's degree or higher at 15.8% 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.