Demographics details for Seldovia, AK vs Winona, MS
Population Overview
Compare main population characteristics in Seldovia, AK vs Winona, MS.
| Data | Seldovia | Winona |
|---|---|---|
| Population | 242 | 4,159 |
| Median Age | 58.3 years | 33.7 years |
| Median Income | $84,375 | $26,250 |
| Married Families | 37.0% | 21.0% |
| Poverty Level | Data is updating | 24% |
| Unemployment Rate | 2.5 | 3.6 |
Population Comparison: Seldovia vs Winona
- The population in Winona is higher at 4,159, compared to 242 in Seldovia.
- Residents in Seldovia have a higher median age of 58.3 years compared to 33.7 years in Winona.
- Seldovia has a higher median income of $84,375 compared to $26,250 in Winona.
- A higher percentage of married families is found in Seldovia at 37.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 0% in Seldovia.
- Winona has a higher unemployment rate at 3.6% compared to 2.5% in Seldovia.
Demographics
Demographics Seldovia vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Seldovia | Winona |
|---|---|---|
| Black | Data is updating | 62 |
| White | 84 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 14 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Seldovia vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 0% in Seldovia.
- Seldovia has a higher percentage of White residents at 84% compared to 38% in Winona.
- Both Seldovia and Winona have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Seldovia and Winona at 0%.
- More residents identify as two or more races in Seldovia at 14% compared to 0% in Winona.
- A greater percentage of American Indian residents live in Seldovia at 2% compared to 0% in Winona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seldovia | Winona |
|---|---|---|
| Mental Health Not Good | 17.1% | 19.3% |
| Physical Health Not Good | 13.0% | 15.0% |
| Depression | 22.6% | 22.3% |
| Smoking | 20.8% | 24.8% |
| Binge Drinking | 19.0% | 11.8% |
| Obesity | 33.3% | 46.4% |
| Disability Percentage | 14.0% | 25.0% |
Health Statistics Comparison: Seldovia vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 17.1% in Seldovia.
- Depression is more prevalent in Seldovia at 22.6% compared to 22.3% in Winona.
- Winona has a higher smoking rate at 24.8% compared to 20.8% in Seldovia.
- Binge drinking is more common in Seldovia at 19.0% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 33.3% in Seldovia.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 14.0% in Seldovia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seldovia | Winona |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (87) |
| High School Diploma | 13.6% (33) | 11.4% (473) |
| Less than High School | 8.3% (20) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 14.0% (34) | 9.3% (388) |
Education Levels Comparison: Seldovia vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Seldovia.
- A higher percentage of residents in Seldovia hold a high school diploma at 13.6% compared to 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 8.3% in Seldovia.
- A higher percentage of residents in Seldovia hold a bachelor's degree or higher at 14.0% 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.