Demographics details for Winona, MS vs Lorida, FL
Population Overview
Compare main population characteristics in Winona, MS vs Lorida, FL.
| Data | Winona | Lorida |
|---|---|---|
| Population | 4,159 | 500 |
| Median Age | 33.7 years | 50.0 years |
| Median Income | $26,250 | $60,000 |
| Married Families | 21.0% | 80.0% |
| Poverty Level | 24% | 12% |
| Unemployment Rate | 3.6 | 5.0 |
Population Comparison: Winona vs Lorida
- In Winona, the population is higher at 4,159, compared to 500 in Lorida.
- The median age in Lorida is higher at 50.0 years, compared to 33.7 years in Winona.
- Lorida has a higher median income of $60,000, compared to $26,250 in Winona.
- In Lorida, the percentage of married families is higher at 80.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 12% in Lorida.
- Lorida has a higher unemployment rate at 5.0% compared to 3.6% in Winona.
Demographics
Demographics Winona vs Lorida provide insight into the diversity of the communities to compare.
| Demographic | Winona | Lorida |
|---|---|---|
| Black | 62 | 2 |
| White | 38 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Lorida
- A higher percentage of Black residents are in Winona at 62% compared to 2% in Lorida.
- The percentage of White residents is higher in Lorida at 95% compared to 38% in Winona.
- In Lorida, the Asian population stands at 1%, greater than 0% in Winona.
- Lorida has a higher percentage of Hispanic residents at 2%, compared to 0% in Winona.
- Both Winona and Lorida have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Winona and Lorida at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Lorida |
|---|---|---|
| Mental Health Not Good | 19.3% | Data is updating% |
| Physical Health Not Good | 15.0% | Data is updating% |
| Depression | 22.3% | Data is updating% |
| Smoking | 24.8% | Data is updating% |
| Binge Drinking | 11.8% | Data is updating% |
| Obesity | 46.4% | Data is updating% |
| Disability Percentage | 25.0% | Data is updating% |
Health Statistics Comparison: Winona vs Lorida
- More residents in Winona report poor mental health at 19.3% compared to 0.0% in Lorida.
- Depression is more prevalent in Winona at 22.3% compared to 0.0% in Lorida.
- Smoking is more prevalent in Winona at 24.8% compared to 0.0% in Lorida.
- Binge drinking is more common in Winona at 11.8% compared to 0.0% in Lorida.
- Obesity rates are higher in Winona at 46.4% compared to 0.0% in Lorida.
- Disability percentages are higher in Winona at 25.0% compared to 0.0% in Lorida.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Lorida |
|---|---|---|
| No Schooling | 2.1% (87) | 0.0% (Data is updating) |
| High School Diploma | 11.4% (473) | 0.0% (Data is updating) |
| Less than High School | 28.5% (1,186) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 9.3% (388) | 0.0% (Data is updating) |
Education Levels Comparison: Winona vs Lorida
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.0% in Lorida.
- A higher percentage of residents in Winona hold a high school diploma at 11.4% compared to 0.0% in Lorida.
- More residents in Winona have less than a high school education at 28.5% compared to 0.0% in Lorida.
- A higher percentage of residents in Winona hold a bachelor's degree or higher at 9.3% compared to 0.0% in Lorida.
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.