Demographics details for Sabin, MN vs Williamsburg, KY
Population Overview
Compare main population characteristics in Sabin, MN vs Williamsburg, KY.
| Data | Sabin | Williamsburg |
|---|---|---|
| Population | 610 | 5,163 |
| Median Age | 33.3 years | 27.3 years |
| Median Income | $118,750 | $33,875 |
| Married Families | 50.0% | 29.0% |
| Poverty Level | Data is updating | 19% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Sabin vs Williamsburg
- The population in Williamsburg is higher at 5,163, compared to 610 in Sabin.
- Residents in Sabin have a higher median age of 33.3 years compared to 27.3 years in Williamsburg.
- Sabin has a higher median income of $118,750 compared to $33,875 in Williamsburg.
- A higher percentage of married families is found in Sabin at 50.0% compared to 29.0% in Williamsburg.
- The poverty level is higher in Williamsburg at 19%, compared to 0% in Sabin.
- Williamsburg has a higher unemployment rate at 4.5% compared to 2.5% in Sabin.
Demographics
Demographics Sabin vs Williamsburg provide insight into the diversity of the communities to compare.
| Demographic | Sabin | Williamsburg |
|---|---|---|
| Black | Data is updating | 4 |
| White | 82 | 90 |
| Asian | 1 | 1 |
| Hispanic | 3 | 3 |
| Two or More Races | 8 | 2 |
| American Indian | 6 | Data is updating |
Demographics Comparison: Sabin vs Williamsburg
- In Williamsburg, the percentage of Black residents is higher at 4% compared to 0% in Sabin.
- The percentage of White residents is higher in Williamsburg at 90% compared to 82% in Sabin.
- Both Sabin and Williamsburg have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Sabin and Williamsburg at 3%.
- More residents identify as two or more races in Sabin at 8% compared to 2% in Williamsburg.
- A greater percentage of American Indian residents live in Sabin at 6% compared to 0% in Williamsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sabin | Williamsburg |
|---|---|---|
| Mental Health Not Good | 14.2% | 21.8% |
| Physical Health Not Good | 8.4% | 16.6% |
| Depression | 25.3% | 32.0% |
| Smoking | 15.3% | 26.4% |
| Binge Drinking | 20.6% | 14.1% |
| Obesity | 33.7% | 42.9% |
| Disability Percentage | 5.0% | 24.0% |
Health Statistics Comparison: Sabin vs Williamsburg
- In Williamsburg, a higher percentage report poor mental health at 21.8% compared to 14.2% in Sabin.
- Higher depression rates are seen in Williamsburg at 32.0% versus 25.3% in Sabin.
- Williamsburg has a higher smoking rate at 26.4% compared to 15.3% in Sabin.
- Binge drinking is more common in Sabin at 20.6% compared to 14.1% in Williamsburg.
- Williamsburg has higher obesity rates at 42.9% compared to 33.7% in Sabin.
- There is a higher percentage of disabled individuals in Williamsburg at 24.0% 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 | Williamsburg |
|---|---|---|
| No Schooling | 0.2% (1) | 0.2% (11) |
| High School Diploma | 14.1% (86) | 12.5% (647) |
| Less than High School | 3.6% (22) | 24.8% (1,280) |
| Bachelor's Degree and Higher | 17.9% (109) | 12.3% (633) |
Education Levels Comparison: Sabin vs Williamsburg
- The percentage of residents with no formal schooling is the same in both Sabin and Williamsburg at 0.2%.
- A higher percentage of residents in Sabin hold a high school diploma at 14.1% compared to 12.5% in Williamsburg.
- The percentage of residents with less than a high school education is higher in Williamsburg at 24.8%, compared to 3.6% in Sabin.
- A higher percentage of residents in Sabin hold a bachelor's degree or higher at 17.9% compared to 12.3% in Williamsburg.
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.