Demographics details for Winona, MS vs Waterloo, AL
Population Overview
Compare main population characteristics in Winona, MS vs Waterloo, AL.
Data | Winona | Waterloo |
---|---|---|
Population | 4,159 | 183 |
Median Age | 33.7 years | 59.0 years |
Median Income | $26,250 | $38,750 |
Married Families | 21.0% | 29.0% |
Poverty Level | 24% | 13% |
Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Winona vs Waterloo
- In Winona, the population is higher at 4,159, compared to 183 in Waterloo.
- The median age in Waterloo is higher at 59.0 years, compared to 33.7 years in Winona.
- Waterloo has a higher median income of $38,750, compared to $26,250 in Winona.
- In Waterloo, the percentage of married families is higher at 29.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 13% in Waterloo.
- The unemployment rate in Winona is higher at 3.6%, compared to 3.5% in Waterloo.
Demographics
Demographics Winona vs Waterloo provide insight into the diversity of the communities to compare.
Demographic | Winona | Waterloo |
---|---|---|
Black | 62 | Data is updating |
White | 38 | 97 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 2 |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Waterloo
- A higher percentage of Black residents are in Winona at 62% compared to 0% in Waterloo.
- The percentage of White residents is higher in Waterloo at 97% compared to 38% in Winona.
- Both Winona and Waterloo have the same percentage of Asian residents at 0%.
- Waterloo has a higher percentage of Hispanic residents at 2%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Waterloo at 1%, compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Winona and Waterloo at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winona | Waterloo |
---|---|---|
Mental Health Not Good | 19.3% | 20.9% |
Physical Health Not Good | 15.0% | 14.3% |
Depression | 22.3% | 27.6% |
Smoking | 24.8% | 23.1% |
Binge Drinking | 11.8% | 15.9% |
Obesity | 46.4% | 38.8% |
Disability Percentage | 25.0% | 21.0% |
Health Statistics Comparison: Winona vs Waterloo
- In Waterloo, a higher percentage report poor mental health at 20.9% compared to 19.3% in Winona.
- Higher depression rates are seen in Waterloo at 27.6% versus 22.3% in Winona.
- Smoking is more prevalent in Winona at 24.8% compared to 23.1% in Waterloo.
- More residents engage in binge drinking in Waterloo at 15.9% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 38.8% in Waterloo.
- Disability percentages are higher in Winona at 25.0% compared to 21.0% in Waterloo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Winona | Waterloo |
---|---|---|
No Schooling | 2.1% (87) | 0.5% (1) |
High School Diploma | 11.4% (473) | 10.4% (19) |
Less than High School | 28.5% (1,186) | 23.0% (42) |
Bachelor's Degree and Higher | 9.3% (388) | 4.9% (9) |
Education Levels Comparison: Winona vs Waterloo
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.5% in Waterloo.
- A higher percentage of residents in Winona hold a high school diploma at 11.4% compared to 10.4% in Waterloo.
- More residents in Winona have less than a high school education at 28.5% compared to 23.0% in Waterloo.
- A higher percentage of residents in Winona hold a bachelor's degree or higher at 9.3% compared to 4.9% in Waterloo.
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.