Demographics details for Marysville, KS vs Sabin, MN
Population Overview
Compare main population characteristics in Marysville, KS vs Sabin, MN.
Data | Marysville | Sabin |
---|---|---|
Population | 3,423 | 610 |
Median Age | 38.8 years | 33.3 years |
Median Income | $53,424 | $118,750 |
Married Families | 38.0% | 50.0% |
Poverty Level | Data is updating | Data is updating |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Marysville vs Sabin
- In Marysville, the population is higher at 3,423, compared to 610 in Sabin.
- Residents in Marysville have a higher median age of 38.8 years compared to 33.3 years in Sabin.
- Sabin has a higher median income of $118,750, compared to $53,424 in Marysville.
- In Sabin, the percentage of married families is higher at 50.0%, compared to 38.0% in Marysville.
- The poverty level is identical in both Marysville and Sabin at 0%.
- The unemployment rate in Marysville is higher at 3.5%, compared to 2.5% in Sabin.
Demographics
Demographics Marysville vs Sabin provide insight into the diversity of the communities to compare.
Demographic | Marysville | Sabin |
---|---|---|
Black | 2 | Data is updating |
White | 86 | 82 |
Asian | 1 | 1 |
Hispanic | 5 | 3 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | 6 |
Demographics Comparison: Marysville vs Sabin
- A higher percentage of Black residents are in Marysville at 2% compared to 0% in Sabin.
- Marysville has a higher percentage of White residents at 86% compared to 82% in Sabin.
- Both Marysville and Sabin have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Marysville at 5% compared to 3% in Sabin.
- The percentage of residents identifying as two or more races is higher in Sabin at 8%, compared to 6% in Marysville.
- In Sabin, the percentage of American Indian residents is higher at 6%, compared to 0% in Marysville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marysville | Sabin |
---|---|---|
Mental Health Not Good | 16.7% | 14.2% |
Physical Health Not Good | 11.0% | 8.4% |
Depression | 20.6% | 25.3% |
Smoking | 19.9% | 15.3% |
Binge Drinking | 20.1% | 20.6% |
Obesity | 40.6% | 33.7% |
Disability Percentage | 16.0% | 5.0% |
Health Statistics Comparison: Marysville vs Sabin
- More residents in Marysville report poor mental health at 16.7% compared to 14.2% in Sabin.
- Higher depression rates are seen in Sabin at 25.3% versus 20.6% in Marysville.
- Smoking is more prevalent in Marysville at 19.9% compared to 15.3% in Sabin.
- More residents engage in binge drinking in Sabin at 20.6% compared to 20.1% in Marysville.
- Obesity rates are higher in Marysville at 40.6% compared to 33.7% in Sabin.
- Disability percentages are higher in Marysville at 16.0% compared to 5.0% in Sabin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marysville | Sabin |
---|---|---|
No Schooling | 0.2% (8) | 0.2% (1) |
High School Diploma | 20.5% (701) | 14.1% (86) |
Less than High School | 12.0% (410) | 3.6% (22) |
Bachelor's Degree and Higher | 19.7% (674) | 17.9% (109) |
Education Levels Comparison: Marysville vs Sabin
- The percentage of residents with no formal schooling is the same in both Marysville and Sabin at 0.2%.
- A higher percentage of residents in Marysville hold a high school diploma at 20.5% compared to 14.1% in Sabin.
- More residents in Marysville have less than a high school education at 12.0% compared to 3.6% in Sabin.
- A higher percentage of residents in Marysville hold a bachelor's degree or higher at 19.7% compared to 17.9% in Sabin.
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.