Demographics details for Marshall, MI vs Saucier, MS
Population Overview
Compare main population characteristics in Marshall, MI vs Saucier, MS.
| Data | Marshall | Saucier |
|---|---|---|
| Population | 6,753 | 1,199 |
| Median Age | 45.4 years | 41.3 years |
| Median Income | $72,813 | $67,742 |
| Married Families | 43.0% | 32.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Marshall vs Saucier
- In Marshall, the population is higher at 6,753, compared to 1,199 in Saucier.
- Residents in Marshall have a higher median age of 45.4 years compared to 41.3 years in Saucier.
- Marshall has a higher median income of $72,813 compared to $67,742 in Saucier.
- A higher percentage of married families is found in Marshall at 43.0% compared to 32.0% in Saucier.
- The poverty level is higher in Saucier at 11%, compared to 9% in Marshall.
- The unemployment rate is the same in both Marshall and Saucier at 4.2%.
Demographics
Demographics Marshall vs Saucier provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Saucier |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 94 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Saucier
- The percentage of Black residents is the same in both Marshall and Saucier at 0%.
- The percentage of White residents is higher in Saucier at 100% compared to 94% in Marshall.
- Both Marshall and Saucier have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Marshall at 4% compared to 0% in Saucier.
- More residents identify as two or more races in Marshall at 2% compared to 0% in Saucier.
- The percentage of American Indian residents is the same in both Marshall and Saucier at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Saucier |
|---|---|---|
| Mental Health Not Good | 17.0% | 18.0% |
| Physical Health Not Good | 10.6% | 12.6% |
| Depression | 25.2% | 25.6% |
| Smoking | 17.3% | 22.9% |
| Binge Drinking | 18.0% | 16.3% |
| Obesity | 37.5% | 34.0% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Marshall vs Saucier
- In Saucier, a higher percentage report poor mental health at 18.0% compared to 17.0% in Marshall.
- Higher depression rates are seen in Saucier at 25.6% versus 25.2% in Marshall.
- Saucier has a higher smoking rate at 22.9% compared to 17.3% in Marshall.
- Binge drinking is more common in Marshall at 18.0% compared to 16.3% in Saucier.
- Obesity rates are higher in Marshall at 37.5% compared to 34.0% in Saucier.
- There is a higher percentage of disabled individuals in Saucier at 15.0% compared to 11.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Saucier |
|---|---|---|
| No Schooling | 0.7% (46) | 0.0% (Data is updating) |
| High School Diploma | 15.8% (1,067) | 29.9% (359) |
| Less than High School | 7.3% (493) | 6.3% (76) |
| Bachelor's Degree and Higher | 33.1% (2,233) | 7.0% (84) |
Education Levels Comparison: Marshall vs Saucier
- A higher percentage of residents in Marshall have no formal schooling at 0.7% compared to 0.0% in Saucier.
- In Saucier, the rate of residents with high school diplomas is higher at 29.9% compared to 15.8% in Marshall.
- More residents in Marshall have less than a high school education at 7.3% compared to 6.3% in Saucier.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 33.1% compared to 7.0% in Saucier.
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.