Demographics details for Syracuse, NY vs Winona, MS
Population Overview
Compare main population characteristics in Syracuse, NY vs Winona, MS.
| Data | Syracuse | Winona |
|---|---|---|
| Population | 144,451 | 4,159 |
| Median Age | 31.9 years | 33.7 years |
| Median Income | $43,584 | $26,250 |
| Married Families | 22.0% | 21.0% |
| Poverty Level | Data is updating | 24% |
| Unemployment Rate | 5.1 | 3.6 |
Population Comparison: Syracuse vs Winona
- In Syracuse, the population is higher at 144,451, compared to 4,159 in Winona.
- The median age in Winona is higher at 33.7 years, compared to 31.9 years in Syracuse.
- Syracuse has a higher median income of $43,584 compared to $26,250 in Winona.
- A higher percentage of married families is found in Syracuse at 22.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 0% in Syracuse.
- The unemployment rate in Syracuse is higher at 5.1%, compared to 3.6% in Winona.
Demographics
Demographics Syracuse vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Syracuse | Winona |
|---|---|---|
| Black | 29 | 62 |
| White | 45 | 38 |
| Asian | 7 | Data is updating |
| Hispanic | 10 | Data is updating |
| Two or More Races | 8 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Syracuse vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 29% in Syracuse.
- Syracuse has a higher percentage of White residents at 45% compared to 38% in Winona.
- The Asian population is larger in Syracuse at 7% compared to 0% in Winona.
- The Hispanic community is larger in Syracuse at 10% compared to 0% in Winona.
- More residents identify as two or more races in Syracuse at 8% compared to 0% in Winona.
- A greater percentage of American Indian residents live in Syracuse at 1% compared to 0% in Winona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Syracuse | Winona |
|---|---|---|
| Mental Health Not Good | 20.3% | 19.3% |
| Physical Health Not Good | 15.0% | 15.0% |
| Depression | 26.9% | 22.3% |
| Smoking | 26.9% | 24.8% |
| Binge Drinking | 14.0% | 11.8% |
| Obesity | 42.6% | 46.4% |
| Disability Percentage | 16.0% | 25.0% |
Health Statistics Comparison: Syracuse vs Winona
- More residents in Syracuse report poor mental health at 20.3% compared to 19.3% in Winona.
- Depression is more prevalent in Syracuse at 26.9% compared to 22.3% in Winona.
- Smoking is more prevalent in Syracuse at 26.9% compared to 24.8% in Winona.
- Binge drinking is more common in Syracuse at 14.0% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 42.6% in Syracuse.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 16.0% in Syracuse.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Syracuse | Winona |
|---|---|---|
| No Schooling | 1.8% (2,595) | 2.1% (87) |
| High School Diploma | 12.7% (18,391) | 11.4% (473) |
| Less than High School | 14.1% (20,347) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 18.5% (26,759) | 9.3% (388) |
Education Levels Comparison: Syracuse vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 1.8% in Syracuse.
- A higher percentage of residents in Syracuse hold a high school diploma at 12.7% 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 14.1% in Syracuse.
- A higher percentage of residents in Syracuse hold a bachelor's degree or higher at 18.5% 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.