Demographics details for Southold, NY vs Madison, MS
Population Overview
Compare main population characteristics in Southold, NY vs Madison, MS.
| Data | Southold | Madison |
|---|---|---|
| Population | 22,125 | 27,775 |
| Median Age | 47.0 years | 40.6 years |
| Median Income | $92,839 | $124,575 |
| Married Families | 65.0% | 51.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.0 | 2.3 |
Population Comparison: Southold vs Madison
- The population in Madison is higher at 27,775, compared to 22,125 in Southold.
- Residents in Southold have a higher median age of 47.0 years compared to 40.6 years in Madison.
- Madison has a higher median income of $124,575, compared to $92,839 in Southold.
- A higher percentage of married families is found in Southold at 65.0% compared to 51.0% in Madison.
- The poverty level is identical in both Southold and Madison at 5%.
- The unemployment rate in Southold is higher at 3.0%, compared to 2.3% in Madison.
Demographics
Demographics Southold vs Madison provide insight into the diversity of the communities to compare.
| Demographic | Southold | Madison |
|---|---|---|
| Black | 2 | 13 |
| White | 90 | 78 |
| Asian | 1 | 6 |
| Hispanic | 5 | 1 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Southold vs Madison
- In Madison, the percentage of Black residents is higher at 13% compared to 2% in Southold.
- Southold has a higher percentage of White residents at 90% compared to 78% in Madison.
- In Madison, the Asian population stands at 6%, greater than 1% in Southold.
- The Hispanic community is larger in Southold at 5% compared to 1% in Madison.
- Both Southold and Madison have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Southold and Madison at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Southold | Madison |
|---|---|---|
| Mental Health Not Good | Data is updating% | 12.2% |
| Physical Health Not Good | Data is updating% | 7.1% |
| Depression | Data is updating% | 19.3% |
| Smoking | Data is updating% | 8.9% |
| Binge Drinking | Data is updating% | 17.7% |
| Obesity | Data is updating% | 29.7% |
| Disability Percentage | Data is updating% | 7.0% |
Health Statistics Comparison: Southold vs Madison
- In Madison, a higher percentage report poor mental health at 12.2% compared to 0.0% in Southold.
- Higher depression rates are seen in Madison at 19.3% versus 0.0% in Southold.
- Madison has a higher smoking rate at 8.9% compared to 0.0% in Southold.
- More residents engage in binge drinking in Madison at 17.7% compared to 0.0% in Southold.
- Madison has higher obesity rates at 29.7% compared to 0.0% in Southold.
- There is a higher percentage of disabled individuals in Madison at 7.0% compared to 0.0% in Southold.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Southold | Madison |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (17) |
| High School Diploma | 0.0% (Data is updating) | 5.3% (1,471) |
| Less than High School | 0.0% (Data is updating) | 2.6% (723) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 43.7% (12,135) |
Education Levels Comparison: Southold vs Madison
- In Madison, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Southold.
- In Madison, the rate of residents with high school diplomas is higher at 5.3% compared to 0.0% in Southold.
- The percentage of residents with less than a high school education is higher in Madison at 2.6%, compared to 0.0% in Southold.
- In Madison, a larger share of residents have a bachelor's degree or higher at 43.7% compared to 0.0% in Southold.
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.