Demographics details for Fort washington, MD vs Manly, IA
Population Overview
Compare main population characteristics in Fort washington, MD vs Manly, IA.
Data | Fort washington | Manly |
---|---|---|
Population | 25,825 | 1,237 |
Median Age | 44.1 years | 40.7 years |
Median Income | $143,623 | $64,688 |
Married Families | 43.0% | 43.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Fort washington vs Manly
- In Fort washington, the population is higher at 25,825, compared to 1,237 in Manly.
- Residents in Fort washington have a higher median age of 44.1 years compared to 40.7 years in Manly.
- Fort washington has a higher median income of $143,623 compared to $64,688 in Manly.
- The percentage of married families is the same in both Fort washington and Manly at 43.0%.
- The poverty level is higher in Manly at 12%, compared to 5% in Fort washington.
- The unemployment rate in Fort washington is higher at 3.5%, compared to 3.1% in Manly.
Demographics
Demographics Fort washington vs Manly provide insight into the diversity of the communities to compare.
Demographic | Fort washington | Manly |
---|---|---|
Black | 61 | 3 |
White | 8 | 77 |
Asian | 8 | Data is updating |
Hispanic | 17 | 10 |
Two or More Races | 6 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort washington vs Manly
- A higher percentage of Black residents are in Fort washington at 61% compared to 3% in Manly.
- The percentage of White residents is higher in Manly at 77% compared to 8% in Fort washington.
- The Asian population is larger in Fort washington at 8% compared to 0% in Manly.
- The Hispanic community is larger in Fort washington at 17% compared to 10% in Manly.
- The percentage of residents identifying as two or more races is higher in Manly at 10%, compared to 6% in Fort washington.
- The percentage of American Indian residents is the same in both Fort washington and Manly at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fort washington | Manly |
---|---|---|
Mental Health Not Good | 12.5% | 16.0% |
Physical Health Not Good | 7.9% | 9.9% |
Depression | 11.6% | 19.1% |
Smoking | 9.6% | 17.7% |
Binge Drinking | 12.0% | 21.4% |
Obesity | 37.7% | 38.1% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Fort washington vs Manly
- In Manly, a higher percentage report poor mental health at 16.0% compared to 12.5% in Fort washington.
- Higher depression rates are seen in Manly at 19.1% versus 11.6% in Fort washington.
- Manly has a higher smoking rate at 17.7% compared to 9.6% in Fort washington.
- More residents engage in binge drinking in Manly at 21.4% compared to 12.0% in Fort washington.
- Manly has higher obesity rates at 38.1% compared to 37.7% in Fort washington.
- There is a higher percentage of disabled individuals in Manly at 15.0% compared to 9.0% in Fort washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fort washington | Manly |
---|---|---|
No Schooling | 1.2% (297) | 0.2% (3) |
High School Diploma | 14.4% (3,710) | 25.9% (320) |
Less than High School | 8.3% (2,138) | 5.8% (72) |
Bachelor's Degree and Higher | 31.8% (8,208) | 13.3% (165) |
Education Levels Comparison: Fort washington vs Manly
- A higher percentage of residents in Fort washington have no formal schooling at 1.2% compared to 0.2% in Manly.
- In Manly, the rate of residents with high school diplomas is higher at 25.9% compared to 14.4% in Fort washington.
- More residents in Fort washington have less than a high school education at 8.3% compared to 5.8% in Manly.
- A higher percentage of residents in Fort washington hold a bachelor's degree or higher at 31.8% compared to 13.3% in Manly.
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.