Demographics details for Madison, MS vs Sanborn, NY
Population Overview
Compare main population characteristics in Madison, MS vs Sanborn, NY.
| Data | Madison | Sanborn |
|---|---|---|
| Population | 27,775 | 1,499 |
| Median Age | 40.6 years | 35.2 years |
| Median Income | $124,575 | $75,109 |
| Married Families | 51.0% | 34.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 2.3 | 4.5 |
Population Comparison: Madison vs Sanborn
- In Madison, the population is higher at 27,775, compared to 1,499 in Sanborn.
- Residents in Madison have a higher median age of 40.6 years compared to 35.2 years in Sanborn.
- Madison has a higher median income of $124,575 compared to $75,109 in Sanborn.
- A higher percentage of married families is found in Madison at 51.0% compared to 34.0% in Sanborn.
- The poverty level is higher in Sanborn at 9%, compared to 5% in Madison.
- Sanborn has a higher unemployment rate at 4.5% compared to 2.3% in Madison.
Demographics
Demographics Madison vs Sanborn provide insight into the diversity of the communities to compare.
| Demographic | Madison | Sanborn |
|---|---|---|
| Black | 13 | 1 |
| White | 78 | 94 |
| Asian | 6 | Data is updating |
| Hispanic | 1 | 1 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Madison vs Sanborn
- A higher percentage of Black residents are in Madison at 13% compared to 1% in Sanborn.
- The percentage of White residents is higher in Sanborn at 94% compared to 78% in Madison.
- The Asian population is larger in Madison at 6% compared to 0% in Sanborn.
- The percentage of Hispanic residents is the same in both Madison and Sanborn at 1%.
- The percentage of residents identifying as two or more races is higher in Sanborn at 4%, compared to 2% in Madison.
- The percentage of American Indian residents is the same in both Madison and Sanborn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Madison | Sanborn |
|---|---|---|
| Mental Health Not Good | 12.2% | 15.5% |
| Physical Health Not Good | 7.1% | 9.4% |
| Depression | 19.3% | 24.9% |
| Smoking | 8.9% | 17.7% |
| Binge Drinking | 17.7% | 20.0% |
| Obesity | 29.7% | 32.9% |
| Disability Percentage | 7.0% | 9.0% |
Health Statistics Comparison: Madison vs Sanborn
- In Sanborn, a higher percentage report poor mental health at 15.5% compared to 12.2% in Madison.
- Higher depression rates are seen in Sanborn at 24.9% versus 19.3% in Madison.
- Sanborn has a higher smoking rate at 17.7% compared to 8.9% in Madison.
- More residents engage in binge drinking in Sanborn at 20.0% compared to 17.7% in Madison.
- Sanborn has higher obesity rates at 32.9% compared to 29.7% in Madison.
- There is a higher percentage of disabled individuals in Sanborn at 9.0% compared to 7.0% in Madison.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Madison | Sanborn |
|---|---|---|
| No Schooling | 0.1% (17) | 3.9% (58) |
| High School Diploma | 5.3% (1,471) | 19.6% (294) |
| Less than High School | 2.6% (723) | 16.0% (240) |
| Bachelor's Degree and Higher | 43.7% (12,135) | 13.9% (209) |
Education Levels Comparison: Madison vs Sanborn
- In Sanborn, a larger percentage of residents lack formal schooling at 3.9% compared to 0.1% in Madison.
- In Sanborn, the rate of residents with high school diplomas is higher at 19.6% compared to 5.3% in Madison.
- The percentage of residents with less than a high school education is higher in Sanborn at 16.0%, compared to 2.6% in Madison.
- A higher percentage of residents in Madison hold a bachelor's degree or higher at 43.7% compared to 13.9% in Sanborn.
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.