Demographics details for Manomet, MA vs Winona, MS
Population Overview
Compare main population characteristics in Manomet, MA vs Winona, MS.
| Data | Manomet | Winona |
|---|---|---|
| Population | 11,839 | 4,159 |
| Median Age | 45.0 years | 33.7 years |
| Median Income | $75,000 | $26,250 |
| Married Families | 60.0% | 21.0% |
| Poverty Level | 5% | 24% |
| Unemployment Rate | 3.0 | 3.6 |
Population Comparison: Manomet vs Winona
- In Manomet, the population is higher at 11,839, compared to 4,159 in Winona.
- Residents in Manomet have a higher median age of 45.0 years compared to 33.7 years in Winona.
- Manomet has a higher median income of $75,000 compared to $26,250 in Winona.
- A higher percentage of married families is found in Manomet at 60.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 5% in Manomet.
- Winona has a higher unemployment rate at 3.6% compared to 3.0% in Manomet.
Demographics
Demographics Manomet vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Manomet | Winona |
|---|---|---|
| Black | 2 | 62 |
| White | 95 | 38 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Manomet vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 2% in Manomet.
- Manomet has a higher percentage of White residents at 95% compared to 38% in Winona.
- The Asian population is larger in Manomet at 1% compared to 0% in Winona.
- The Hispanic community is larger in Manomet at 2% compared to 0% in Winona.
- More residents identify as two or more races in Manomet at 1% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Manomet and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manomet | Winona |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.3% |
| Physical Health Not Good | Data is updating% | 15.0% |
| Depression | Data is updating% | 22.3% |
| Smoking | Data is updating% | 24.8% |
| Binge Drinking | Data is updating% | 11.8% |
| Obesity | Data is updating% | 46.4% |
| Disability Percentage | Data is updating% | 25.0% |
Health Statistics Comparison: Manomet vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 0.0% in Manomet.
- Higher depression rates are seen in Winona at 22.3% versus 0.0% in Manomet.
- Winona has a higher smoking rate at 24.8% compared to 0.0% in Manomet.
- More residents engage in binge drinking in Winona at 11.8% compared to 0.0% in Manomet.
- Winona has higher obesity rates at 46.4% compared to 0.0% in Manomet.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 0.0% in Manomet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Manomet | Winona |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (87) |
| High School Diploma | 0.0% (Data is updating) | 11.4% (473) |
| Less than High School | 0.0% (Data is updating) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.3% (388) |
Education Levels Comparison: Manomet vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Manomet.
- In Winona, the rate of residents with high school diplomas is higher at 11.4% compared to 0.0% in Manomet.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 0.0% in Manomet.
- In Winona, a larger share of residents have a bachelor's degree or higher at 9.3% compared to 0.0% in Manomet.
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.