Demographics details for Winona, MS vs Rock falls, IL
Population Overview
Compare main population characteristics in Winona, MS vs Rock falls, IL.
Data | Winona | Rock falls |
---|---|---|
Population | 4,159 | 8,620 |
Median Age | 33.7 years | 38.2 years |
Median Income | $26,250 | $48,390 |
Married Families | 21.0% | 30.0% |
Poverty Level | 24% | 13% |
Unemployment Rate | 3.6 | 3.1 |
Population Comparison: Winona vs Rock falls
- The population in Rock falls is higher at 8,620, compared to 4,159 in Winona.
- The median age in Rock falls is higher at 38.2 years, compared to 33.7 years in Winona.
- Rock falls has a higher median income of $48,390, compared to $26,250 in Winona.
- In Rock falls, the percentage of married families is higher at 30.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 13% in Rock falls.
- The unemployment rate in Winona is higher at 3.6%, compared to 3.1% in Rock falls.
Demographics
Demographics Winona vs Rock falls provide insight into the diversity of the communities to compare.
Demographic | Winona | Rock falls |
---|---|---|
Black | 62 | Data is updating |
White | 38 | 65 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 23 |
Two or More Races | Data is updating | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Rock falls
- A higher percentage of Black residents are in Winona at 62% compared to 0% in Rock falls.
- The percentage of White residents is higher in Rock falls at 65% compared to 38% in Winona.
- Both Winona and Rock falls have the same percentage of Asian residents at 0%.
- Rock falls has a higher percentage of Hispanic residents at 23%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Rock falls at 12%, compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Winona and Rock falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winona | Rock falls |
---|---|---|
Mental Health Not Good | 19.3% | 17.1% |
Physical Health Not Good | 15.0% | 12.2% |
Depression | 22.3% | 22.9% |
Smoking | 24.8% | 19.7% |
Binge Drinking | 11.8% | 17.9% |
Obesity | 46.4% | 39.1% |
Disability Percentage | 25.0% | 20.0% |
Health Statistics Comparison: Winona vs Rock falls
- More residents in Winona report poor mental health at 19.3% compared to 17.1% in Rock falls.
- Higher depression rates are seen in Rock falls at 22.9% versus 22.3% in Winona.
- Smoking is more prevalent in Winona at 24.8% compared to 19.7% in Rock falls.
- More residents engage in binge drinking in Rock falls at 17.9% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 39.1% in Rock falls.
- Disability percentages are higher in Winona at 25.0% compared to 20.0% in Rock falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Winona | Rock falls |
---|---|---|
No Schooling | 2.1% (87) | 0.5% (47) |
High School Diploma | 11.4% (473) | 22.7% (1,958) |
Less than High School | 28.5% (1,186) | 18.4% (1,586) |
Bachelor's Degree and Higher | 9.3% (388) | 10.0% (858) |
Education Levels Comparison: Winona vs Rock falls
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.5% in Rock falls.
- In Rock falls, the rate of residents with high school diplomas is higher at 22.7% compared to 11.4% in Winona.
- More residents in Winona have less than a high school education at 28.5% compared to 18.4% in Rock falls.
- In Rock falls, a larger share of residents have a bachelor's degree or higher at 10.0% 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.