Demographics details for Sabin, MN vs Montgomery village, MD
Population Overview
Compare main population characteristics in Sabin, MN vs Montgomery village, MD.
| Data | Sabin | Montgomery village |
|---|---|---|
| Population | 610 | 34,748 |
| Median Age | 33.3 years | 36.8 years |
| Median Income | $118,750 | $91,703 |
| Married Families | 50.0% | 38.0% |
| Poverty Level | Data is updating | 7% |
| Unemployment Rate | 2.5 | 4.2 |
Population Comparison: Sabin vs Montgomery village
- The population in Montgomery village is higher at 34,748, compared to 610 in Sabin.
- The median age in Montgomery village is higher at 36.8 years, compared to 33.3 years in Sabin.
- Sabin has a higher median income of $118,750 compared to $91,703 in Montgomery village.
- A higher percentage of married families is found in Sabin at 50.0% compared to 38.0% in Montgomery village.
- The poverty level is higher in Montgomery village at 7%, compared to 0% in Sabin.
- Montgomery village has a higher unemployment rate at 4.2% compared to 2.5% in Sabin.
Demographics
Demographics Sabin vs Montgomery village provide insight into the diversity of the communities to compare.
| Demographic | Sabin | Montgomery village |
|---|---|---|
| Black | Data is updating | 23 |
| White | 82 | 19 |
| Asian | 1 | 13 |
| Hispanic | 3 | 35 |
| Two or More Races | 8 | 10 |
| American Indian | 6 | Data is updating |
Demographics Comparison: Sabin vs Montgomery village
- In Montgomery village, the percentage of Black residents is higher at 23% compared to 0% in Sabin.
- Sabin has a higher percentage of White residents at 82% compared to 19% in Montgomery village.
- In Montgomery village, the Asian population stands at 13%, greater than 1% in Sabin.
- Montgomery village has a higher percentage of Hispanic residents at 35%, compared to 3% in Sabin.
- The percentage of residents identifying as two or more races is higher in Montgomery village at 10%, compared to 8% in Sabin.
- A greater percentage of American Indian residents live in Sabin at 6% compared to 0% in Montgomery village.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sabin | Montgomery village |
|---|---|---|
| Mental Health Not Good | 14.2% | 14.5% |
| Physical Health Not Good | 8.4% | 9.0% |
| Depression | 25.3% | 18.9% |
| Smoking | 15.3% | 11.3% |
| Binge Drinking | 20.6% | 12.1% |
| Obesity | 33.7% | 27.8% |
| Disability Percentage | 5.0% | 10.0% |
Health Statistics Comparison: Sabin vs Montgomery village
- In Montgomery village, a higher percentage report poor mental health at 14.5% compared to 14.2% in Sabin.
- Depression is more prevalent in Sabin at 25.3% compared to 18.9% in Montgomery village.
- Smoking is more prevalent in Sabin at 15.3% compared to 11.3% in Montgomery village.
- Binge drinking is more common in Sabin at 20.6% compared to 12.1% in Montgomery village.
- Obesity rates are higher in Sabin at 33.7% compared to 27.8% in Montgomery village.
- There is a higher percentage of disabled individuals in Montgomery village at 10.0% 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 | Sabin | Montgomery village |
|---|---|---|
| No Schooling | 0.2% (1) | 2.7% (955) |
| High School Diploma | 14.1% (86) | 12.2% (4,244) |
| Less than High School | 3.6% (22) | 14.3% (4,958) |
| Bachelor's Degree and Higher | 17.9% (109) | 28.9% (10,032) |
Education Levels Comparison: Sabin vs Montgomery village
- In Montgomery village, a larger percentage of residents lack formal schooling at 2.7% compared to 0.2% in Sabin.
- A higher percentage of residents in Sabin hold a high school diploma at 14.1% compared to 12.2% in Montgomery village.
- The percentage of residents with less than a high school education is higher in Montgomery village at 14.3%, compared to 3.6% in Sabin.
- In Montgomery village, a larger share of residents have a bachelor's degree or higher at 28.9% 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.