Demographics details for Addyston, OH vs Fort washington, MD
Population Overview
Compare main population characteristics in Addyston, OH vs Fort washington, MD.
Data | Addyston | Fort washington |
---|---|---|
Population | 907 | 25,825 |
Median Age | 29.1 years | 44.1 years |
Median Income | $46,818 | $143,623 |
Married Families | 26.0% | 43.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Addyston vs Fort washington
- The population in Fort washington is higher at 25,825, compared to 907 in Addyston.
- The median age in Fort washington is higher at 44.1 years, compared to 29.1 years in Addyston.
- Fort washington has a higher median income of $143,623, compared to $46,818 in Addyston.
- In Fort washington, the percentage of married families is higher at 43.0%, compared to 26.0% in Addyston.
- Addyston has a higher poverty level at 9% compared to 5% in Fort washington.
- The unemployment rate is the same in both Addyston and Fort washington at 3.5%.
Demographics
Demographics Addyston vs Fort washington provide insight into the diversity of the communities to compare.
Demographic | Addyston | Fort washington |
---|---|---|
Black | 16 | 61 |
White | 74 | 8 |
Asian | Data is updating | 8 |
Hispanic | 3 | 17 |
Two or More Races | 7 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Addyston vs Fort washington
- In Fort washington, the percentage of Black residents is higher at 61% compared to 16% in Addyston.
- Addyston has a higher percentage of White residents at 74% compared to 8% in Fort washington.
- In Fort washington, the Asian population stands at 8%, greater than 0% in Addyston.
- Fort washington has a higher percentage of Hispanic residents at 17%, compared to 3% in Addyston.
- More residents identify as two or more races in Addyston at 7% compared to 6% in Fort washington.
- The percentage of American Indian residents is the same in both Addyston and Fort washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Addyston | Fort washington |
---|---|---|
Mental Health Not Good | 17.1% | 12.5% |
Physical Health Not Good | 11.4% | 7.9% |
Depression | 23.6% | 11.6% |
Smoking | 19.5% | 9.6% |
Binge Drinking | 22.0% | 12.0% |
Obesity | 33.9% | 37.7% |
Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Addyston vs Fort washington
- More residents in Addyston report poor mental health at 17.1% compared to 12.5% in Fort washington.
- Depression is more prevalent in Addyston at 23.6% compared to 11.6% in Fort washington.
- Smoking is more prevalent in Addyston at 19.5% compared to 9.6% in Fort washington.
- Binge drinking is more common in Addyston at 22.0% compared to 12.0% in Fort washington.
- Fort washington has higher obesity rates at 37.7% compared to 33.9% in Addyston.
- Disability percentages are higher in Addyston at 11.0% 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 | Addyston | Fort washington |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (297) |
High School Diploma | 30.3% (275) | 14.4% (3,710) |
Less than High School | 21.1% (191) | 8.3% (2,138) |
Bachelor's Degree and Higher | 5.2% (47) | 31.8% (8,208) |
Education Levels Comparison: Addyston vs Fort washington
- In Fort washington, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Addyston.
- A higher percentage of residents in Addyston hold a high school diploma at 30.3% compared to 14.4% in Fort washington.
- More residents in Addyston have less than a high school education at 21.1% compared to 8.3% in Fort washington.
- In Fort washington, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 5.2% in Addyston.
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.