Demographics details for Burnt ranch, CA vs Winona, MS
Population Overview
Compare main population characteristics in Burnt ranch, CA vs Winona, MS.
| Data | Burnt ranch | Winona |
|---|---|---|
| Population | 228 | 4,159 |
| Median Age | 45.7 years | 33.7 years |
| Median Income | $55,357 | $26,250 |
| Married Families | 36.0% | 21.0% |
| Poverty Level | 13% | 24% |
| Unemployment Rate | 7.5 | 3.6 |
Population Comparison: Burnt ranch vs Winona
- The population in Winona is higher at 4,159, compared to 228 in Burnt ranch.
- Residents in Burnt ranch have a higher median age of 45.7 years compared to 33.7 years in Winona.
- Burnt ranch has a higher median income of $55,357 compared to $26,250 in Winona.
- A higher percentage of married families is found in Burnt ranch at 36.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 13% in Burnt ranch.
- The unemployment rate in Burnt ranch is higher at 7.5%, compared to 3.6% in Winona.
Demographics
Demographics Burnt ranch vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Burnt ranch | Winona |
|---|---|---|
| Black | Data is updating | 62 |
| White | 97 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | 3 | Data is updating |
Demographics Comparison: Burnt ranch vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 0% in Burnt ranch.
- Burnt ranch has a higher percentage of White residents at 97% compared to 38% in Winona.
- Both Burnt ranch and Winona have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Burnt ranch and Winona at 0%.
- Both Burnt ranch and Winona have the same percentage of residents identifying as two or more races at 0%.
- A greater percentage of American Indian residents live in Burnt ranch at 3% compared to 0% in Winona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Burnt ranch | Winona |
|---|---|---|
| Mental Health Not Good | 16.6% | 19.3% |
| Physical Health Not Good | 11.1% | 15.0% |
| Depression | 20.0% | 22.3% |
| Smoking | 14.8% | 24.8% |
| Binge Drinking | 19.5% | 11.8% |
| Obesity | 29.9% | 46.4% |
| Disability Percentage | 7.0% | 25.0% |
Health Statistics Comparison: Burnt ranch vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 16.6% in Burnt ranch.
- Higher depression rates are seen in Winona at 22.3% versus 20.0% in Burnt ranch.
- Winona has a higher smoking rate at 24.8% compared to 14.8% in Burnt ranch.
- Binge drinking is more common in Burnt ranch at 19.5% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 29.9% in Burnt ranch.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 7.0% in Burnt ranch.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Burnt ranch | Winona |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (87) |
| High School Diploma | 11.8% (27) | 11.4% (473) |
| Less than High School | 9.6% (22) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 18.9% (43) | 9.3% (388) |
Education Levels Comparison: Burnt ranch vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Burnt ranch.
- A higher percentage of residents in Burnt ranch hold a high school diploma at 11.8% 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 9.6% in Burnt ranch.
- A higher percentage of residents in Burnt ranch hold a bachelor's degree or higher at 18.9% 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.