Demographics details for Montgomery, NY vs Kasson, MN
Population Overview
Compare main population characteristics in Montgomery, NY vs Kasson, MN.
| Data | Montgomery | Kasson |
|---|---|---|
| Population | 49,623 | 6,996 |
| Median Age | 40.6 years | 34.5 years |
| Median Income | $58,033 | $91,581 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 4.2 | 3.1 |
Population Comparison: Montgomery vs Kasson
- In Montgomery, the population is higher at 49,623, compared to 6,996 in Kasson.
- Residents in Montgomery have a higher median age of 40.6 years compared to 34.5 years in Kasson.
- Kasson has a higher median income of $91,581, compared to $58,033 in Montgomery.
- In Kasson, the percentage of married families is higher at 47.0%, compared to 34.0% in Montgomery.
- Montgomery has a higher poverty level at 10% compared to 7% in Kasson.
- The unemployment rate in Montgomery is higher at 4.2%, compared to 3.1% in Kasson.
Demographics
Demographics Montgomery vs Kasson provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Kasson |
|---|---|---|
| Black | 3 | Data is updating |
| White | 74 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 15 | 4 |
| Two or More Races | 6 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Montgomery vs Kasson
- A higher percentage of Black residents are in Montgomery at 3% compared to 0% in Kasson.
- The percentage of White residents is higher in Kasson at 94% compared to 74% in Montgomery.
- The Asian population is larger in Montgomery at 1% compared to 0% in Kasson.
- The Hispanic community is larger in Montgomery at 15% compared to 4% in Kasson.
- More residents identify as two or more races in Montgomery at 6% compared to 2% in Kasson.
- A greater percentage of American Indian residents live in Montgomery at 1% compared to 0% in Kasson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Kasson |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.1% |
| Physical Health Not Good | 12.3% | 8.4% |
| Depression | 23.2% | 22.4% |
| Smoking | 20.4% | 15.8% |
| Binge Drinking | 17.8% | 20.6% |
| Obesity | 35.8% | 35.8% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Montgomery vs Kasson
- More residents in Montgomery report poor mental health at 16.7% compared to 14.1% in Kasson.
- Depression is more prevalent in Montgomery at 23.2% compared to 22.4% in Kasson.
- Smoking is more prevalent in Montgomery at 20.4% compared to 15.8% in Kasson.
- More residents engage in binge drinking in Kasson at 20.6% compared to 17.8% in Montgomery.
- Both cities have the same obesity rates at 35.8%.
- Disability percentages are higher in Montgomery at 16.0% compared to 9.0% in Kasson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Kasson |
|---|---|---|
| No Schooling | 1.1% (540) | 0.9% (61) |
| High School Diploma | 20.6% (10,235) | 11.8% (829) |
| Less than High School | 14.9% (7,375) | 3.7% (256) |
| Bachelor's Degree and Higher | 13.7% (6,785) | 23.1% (1,615) |
Education Levels Comparison: Montgomery vs Kasson
- A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.9% in Kasson.
- A higher percentage of residents in Montgomery hold a high school diploma at 20.6% compared to 11.8% in Kasson.
- More residents in Montgomery have less than a high school education at 14.9% compared to 3.7% in Kasson.
- In Kasson, a larger share of residents have a bachelor's degree or higher at 23.1% compared to 13.7% in Montgomery.
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.