Demographics details for Monroe city, MO vs Swansea, MA
Population Overview
Compare main population characteristics in Monroe city, MO vs Swansea, MA.
| Data | Monroe city | Swansea |
|---|---|---|
| Population | 2,650 | 16,705 |
| Median Age | 40.1 years | 42.0 years |
| Median Income | $50,885 | $71,000 |
| Married Families | 42.0% | 60.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 3.2 | 3.4 |
Population Comparison: Monroe city vs Swansea
- The population in Swansea is higher at 16,705, compared to 2,650 in Monroe city.
- The median age in Swansea is higher at 42.0 years, compared to 40.1 years in Monroe city.
- Swansea has a higher median income of $71,000, compared to $50,885 in Monroe city.
- In Swansea, the percentage of married families is higher at 60.0%, compared to 42.0% in Monroe city.
- Monroe city has a higher poverty level at 13% compared to 7% in Swansea.
- Swansea has a higher unemployment rate at 3.4% compared to 3.2% in Monroe city.
Demographics
Demographics Monroe city vs Swansea provide insight into the diversity of the communities to compare.
| Demographic | Monroe city | Swansea |
|---|---|---|
| Black | 11 | 2 |
| White | 79 | 90 |
| Asian | 2 | 1 |
| Hispanic | 1 | 5 |
| Two or More Races | 5 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Monroe city vs Swansea
- A higher percentage of Black residents are in Monroe city at 11% compared to 2% in Swansea.
- The percentage of White residents is higher in Swansea at 90% compared to 79% in Monroe city.
- The Asian population is larger in Monroe city at 2% compared to 1% in Swansea.
- Swansea has a higher percentage of Hispanic residents at 5%, compared to 1% in Monroe city.
- More residents identify as two or more races in Monroe city at 5% compared to 2% in Swansea.
- A greater percentage of American Indian residents live in Monroe city at 2% compared to 0% in Swansea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monroe city | Swansea |
|---|---|---|
| Mental Health Not Good | 18.6% | Data is updating% |
| Physical Health Not Good | 13.1% | Data is updating% |
| Depression | 25.7% | Data is updating% |
| Smoking | 22.3% | Data is updating% |
| Binge Drinking | 17.7% | Data is updating% |
| Obesity | 41.5% | Data is updating% |
| Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Monroe city vs Swansea
- More residents in Monroe city report poor mental health at 18.6% compared to 0.0% in Swansea.
- Depression is more prevalent in Monroe city at 25.7% compared to 0.0% in Swansea.
- Smoking is more prevalent in Monroe city at 22.3% compared to 0.0% in Swansea.
- Binge drinking is more common in Monroe city at 17.7% compared to 0.0% in Swansea.
- Obesity rates are higher in Monroe city at 41.5% compared to 0.0% in Swansea.
- Disability percentages are higher in Monroe city at 21.0% compared to 0.0% in Swansea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Monroe city | Swansea |
|---|---|---|
| No Schooling | 0.5% (13) | 0.0% (Data is updating) |
| High School Diploma | 33.2% (880) | 0.0% (Data is updating) |
| Less than High School | 20.6% (545) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.2% (323) | 0.0% (Data is updating) |
Education Levels Comparison: Monroe city vs Swansea
- A higher percentage of residents in Monroe city have no formal schooling at 0.5% compared to 0.0% in Swansea.
- A higher percentage of residents in Monroe city hold a high school diploma at 33.2% compared to 0.0% in Swansea.
- More residents in Monroe city have less than a high school education at 20.6% compared to 0.0% in Swansea.
- A higher percentage of residents in Monroe city hold a bachelor's degree or higher at 12.2% compared to 0.0% in Swansea.
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.