Demographics details for Winona, MS vs Hermosa beach, CA
Population Overview
Compare main population characteristics in Winona, MS vs Hermosa beach, CA.
| Data | Winona | Hermosa beach |
|---|---|---|
| Population | 4,159 | 18,985 |
| Median Age | 33.7 years | 40.2 years |
| Median Income | $26,250 | $149,500 |
| Married Families | 21.0% | 42.0% |
| Poverty Level | 24% | 7% |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Winona vs Hermosa beach
- The population in Hermosa beach is higher at 18,985, compared to 4,159 in Winona.
- The median age in Hermosa beach is higher at 40.2 years, compared to 33.7 years in Winona.
- Hermosa beach has a higher median income of $149,500, compared to $26,250 in Winona.
- In Hermosa beach, the percentage of married families is higher at 42.0%, compared to 21.0% in Winona.
- Winona has a higher poverty level at 24% compared to 7% in Hermosa beach.
- The unemployment rate in Winona is higher at 3.6%, compared to 3.5% in Hermosa beach.
Demographics
Demographics Winona vs Hermosa beach provide insight into the diversity of the communities to compare.
| Demographic | Winona | Hermosa beach |
|---|---|---|
| Black | 62 | 1 |
| White | 38 | 67 |
| Asian | Data is updating | 8 |
| Hispanic | Data is updating | 12 |
| Two or More Races | Data is updating | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Winona vs Hermosa beach
- A higher percentage of Black residents are in Winona at 62% compared to 1% in Hermosa beach.
- The percentage of White residents is higher in Hermosa beach at 67% compared to 38% in Winona.
- In Hermosa beach, the Asian population stands at 8%, greater than 0% in Winona.
- Hermosa beach has a higher percentage of Hispanic residents at 12%, compared to 0% in Winona.
- The percentage of residents identifying as two or more races is higher in Hermosa beach at 12%, compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Winona and Hermosa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Winona | Hermosa beach |
|---|---|---|
| Mental Health Not Good | 19.3% | 12.2% |
| Physical Health Not Good | 15.0% | 6.8% |
| Depression | 22.3% | 16.0% |
| Smoking | 24.8% | 6.0% |
| Binge Drinking | 11.8% | 19.0% |
| Obesity | 46.4% | 22.2% |
| Disability Percentage | 25.0% | 6.0% |
Health Statistics Comparison: Winona vs Hermosa beach
- More residents in Winona report poor mental health at 19.3% compared to 12.2% in Hermosa beach.
- Depression is more prevalent in Winona at 22.3% compared to 16.0% in Hermosa beach.
- Smoking is more prevalent in Winona at 24.8% compared to 6.0% in Hermosa beach.
- More residents engage in binge drinking in Hermosa beach at 19.0% compared to 11.8% in Winona.
- Obesity rates are higher in Winona at 46.4% compared to 22.2% in Hermosa beach.
- Disability percentages are higher in Winona at 25.0% compared to 6.0% in Hermosa beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Winona | Hermosa beach |
|---|---|---|
| No Schooling | 2.1% (87) | 0.0% (Data is updating) |
| High School Diploma | 11.4% (473) | 4.5% (851) |
| Less than High School | 28.5% (1,186) | 1.4% (260) |
| Bachelor's Degree and Higher | 9.3% (388) | 61.9% (11,749) |
Education Levels Comparison: Winona vs Hermosa beach
- A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.0% in Hermosa beach.
- A higher percentage of residents in Winona hold a high school diploma at 11.4% compared to 4.5% in Hermosa beach.
- More residents in Winona have less than a high school education at 28.5% compared to 1.4% in Hermosa beach.
- In Hermosa beach, a larger share of residents have a bachelor's degree or higher at 61.9% 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.