Demographics details for Manhattan, KS vs Saint marks, FL
Population Overview
Compare main population characteristics in Manhattan, KS vs Saint marks, FL.
Data | Manhattan | Saint marks |
---|---|---|
Population | 53,829 | 295 |
Median Age | 24.7 years | 60.1 years |
Median Income | $55,316 | $47,500 |
Married Families | 29.0% | 51.0% |
Poverty Level | 15% | Data is updating |
Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Manhattan vs Saint marks
- In Manhattan, the population is higher at 53,829, compared to 295 in Saint marks.
- The median age in Saint marks is higher at 60.1 years, compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316 compared to $47,500 in Saint marks.
- In Saint marks, the percentage of married families is higher at 51.0%, compared to 29.0% in Manhattan.
- Manhattan has a higher poverty level at 15% compared to 0% in Saint marks.
- Saint marks has a higher unemployment rate at 4.5% compared to 3.8% in Manhattan.
Demographics
Demographics Manhattan vs Saint marks provide insight into the diversity of the communities to compare.
Demographic | Manhattan | Saint marks |
---|---|---|
Black | 5 | Data is updating |
White | 74 | 98 |
Asian | 5 | Data is updating |
Hispanic | 8 | Data is updating |
Two or More Races | 7 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Saint marks
- A higher percentage of Black residents are in Manhattan at 5% compared to 0% in Saint marks.
- The percentage of White residents is higher in Saint marks at 98% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 0% in Saint marks.
- The Hispanic community is larger in Manhattan at 8% compared to 0% in Saint marks.
- More residents identify as two or more races in Manhattan at 7% compared to 2% in Saint marks.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Saint marks.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manhattan | Saint marks |
---|---|---|
Mental Health Not Good | 15.7% | 18.6% |
Physical Health Not Good | 10.1% | 12.7% |
Depression | 20.2% | 23.2% |
Smoking | 16.0% | 25.2% |
Binge Drinking | 20.6% | 17.4% |
Obesity | 32.2% | 31.9% |
Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Manhattan vs Saint marks
- In Saint marks, a higher percentage report poor mental health at 18.6% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Saint marks at 23.2% versus 20.2% in Manhattan.
- Saint marks has a higher smoking rate at 25.2% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 17.4% in Saint marks.
- Obesity rates are higher in Manhattan at 32.2% compared to 31.9% in Saint marks.
- Disability percentages are the same in both Manhattan and Saint marks at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manhattan | Saint marks |
---|---|---|
No Schooling | 0.5% (256) | 0.0% (Data is updating) |
High School Diploma | 5.8% (3,138) | 23.7% (70) |
Less than High School | 4.2% (2,256) | 9.5% (28) |
Bachelor's Degree and Higher | 26.0% (14,017) | 4.1% (12) |
Education Levels Comparison: Manhattan vs Saint marks
- A higher percentage of residents in Manhattan have no formal schooling at 0.5% compared to 0.0% in Saint marks.
- In Saint marks, the rate of residents with high school diplomas is higher at 23.7% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Saint marks at 9.5%, compared to 4.2% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 4.1% in Saint marks.
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.