Demographics details for Southold, NY vs Mc henry, MS
Population Overview
Compare main population characteristics in Southold, NY vs Mc henry, MS.
Data | Southold | Mc henry |
---|---|---|
Population | 22,125 | 183 |
Median Age | 47.0 years | 43.0 years |
Median Income | $92,839 | $49,000 |
Married Families | 65.0% | 68.0% |
Poverty Level | 5% | 15% |
Unemployment Rate | 3.0 | 5.0 |
Population Comparison: Southold vs Mc henry
- In Southold, the population is higher at 22,125, compared to 183 in Mc henry.
- Residents in Southold have a higher median age of 47.0 years compared to 43.0 years in Mc henry.
- Southold has a higher median income of $92,839 compared to $49,000 in Mc henry.
- In Mc henry, the percentage of married families is higher at 68.0%, compared to 65.0% in Southold.
- The poverty level is higher in Mc henry at 15%, compared to 5% in Southold.
- Mc henry has a higher unemployment rate at 5.0% compared to 3.0% in Southold.
Demographics
Demographics Southold vs Mc henry provide insight into the diversity of the communities to compare.
Demographic | Southold | Mc henry |
---|---|---|
Black | 2 | 20 |
White | 90 | 70 |
Asian | 1 | 5 |
Hispanic | 5 | 3 |
Two or More Races | 2 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Southold vs Mc henry
- In Mc henry, the percentage of Black residents is higher at 20% compared to 2% in Southold.
- Southold has a higher percentage of White residents at 90% compared to 70% in Mc henry.
- In Mc henry, the Asian population stands at 5%, greater than 1% in Southold.
- The Hispanic community is larger in Southold at 5% compared to 3% in Mc henry.
- Both Southold and Mc henry 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 Mc henry at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Southold | Mc henry |
---|---|---|
Mental Health Not Good | Data is updating% | Data is updating% |
Physical Health Not Good | Data is updating% | Data is updating% |
Depression | Data is updating% | Data is updating% |
Smoking | Data is updating% | Data is updating% |
Binge Drinking | Data is updating% | Data is updating% |
Obesity | Data is updating% | Data is updating% |
Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Southold vs Mc henry
- Poor mental health levels are equal in both Southold and Mc henry at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Southold and Mc henry at 0.0%.
- Binge drinking rates are similar in both Southold and Mc henry at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Southold and Mc henry at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Southold | Mc henry |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Southold vs Mc henry
- The percentage of residents with no formal schooling is the same in both Southold and Mc henry at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Southold and Mc henry at 0.0%.
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.