Demographics details for Marshall, MI vs Poultney, VT
Population Overview
Compare main population characteristics in Marshall, MI vs Poultney, VT.
Data | Marshall | Poultney |
---|---|---|
Population | 6,753 | 3,270 |
Median Age | 45.4 years | 39.0 years |
Median Income | $72,813 | $52,607 |
Married Families | 43.0% | Data is updating |
Poverty Level | 9% | 11% |
Unemployment Rate | 4.2 | 2.8 |
Population Comparison: Marshall vs Poultney
- In Marshall, the population is higher at 6,753, compared to 3,270 in Poultney.
- Residents in Marshall have a higher median age of 45.4 years compared to 39.0 years in Poultney.
- Marshall has a higher median income of $72,813 compared to $52,607 in Poultney.
- A higher percentage of married families is found in Marshall at 43.0% compared to 0.0% in Poultney.
- The poverty level is higher in Poultney at 11%, compared to 9% in Marshall.
- The unemployment rate in Marshall is higher at 4.2%, compared to 2.8% in Poultney.
Demographics
Demographics Marshall vs Poultney provide insight into the diversity of the communities to compare.
Demographic | Marshall | Poultney |
---|---|---|
Black | Data is updating | 2 |
White | 94 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 1 |
Two or More Races | 2 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Poultney
- In Poultney, the percentage of Black residents is higher at 2% compared to 0% in Marshall.
- The percentage of White residents is higher in Poultney at 95% compared to 94% in Marshall.
- Both Marshall and Poultney have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Marshall at 4% compared to 1% in Poultney.
- Both Marshall and Poultney have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Marshall and Poultney at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marshall | Poultney |
---|---|---|
Mental Health Not Good | 17.0% | Data is updating% |
Physical Health Not Good | 10.6% | Data is updating% |
Depression | 25.2% | Data is updating% |
Smoking | 17.3% | Data is updating% |
Binge Drinking | 18.0% | Data is updating% |
Obesity | 37.5% | Data is updating% |
Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Marshall vs Poultney
- More residents in Marshall report poor mental health at 17.0% compared to 0.0% in Poultney.
- Depression is more prevalent in Marshall at 25.2% compared to 0.0% in Poultney.
- Smoking is more prevalent in Marshall at 17.3% compared to 0.0% in Poultney.
- Binge drinking is more common in Marshall at 18.0% compared to 0.0% in Poultney.
- Obesity rates are higher in Marshall at 37.5% compared to 0.0% in Poultney.
- Disability percentages are higher in Marshall at 11.0% compared to 0.0% in Poultney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marshall | Poultney |
---|---|---|
No Schooling | 0.7% (46) | 0.0% (Data is updating) |
High School Diploma | 15.8% (1,067) | 0.0% (Data is updating) |
Less than High School | 7.3% (493) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 33.1% (2,233) | 0.0% (Data is updating) |
Education Levels Comparison: Marshall vs Poultney
- A higher percentage of residents in Marshall have no formal schooling at 0.7% compared to 0.0% in Poultney.
- A higher percentage of residents in Marshall hold a high school diploma at 15.8% compared to 0.0% in Poultney.
- More residents in Marshall have less than a high school education at 7.3% compared to 0.0% in Poultney.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 33.1% compared to 0.0% in Poultney.
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.