Demographics details for Washington, MO vs Middle river, MD
Population Overview
Compare main population characteristics in Washington, MO vs Middle river, MD.
Data | Washington | Middle river |
---|---|---|
Population | 15,075 | 31,155 |
Median Age | 40.9 years | 36.7 years |
Median Income | $75,127 | $72,970 |
Married Families | 41.0% | 33.0% |
Poverty Level | 8% | 8% |
Unemployment Rate | 2.5 | 4.0 |
Population Comparison: Washington vs Middle river
- The population in Middle river is higher at 31,155, compared to 15,075 in Washington.
- Residents in Washington have a higher median age of 40.9 years compared to 36.7 years in Middle river.
- Washington has a higher median income of $75,127 compared to $72,970 in Middle river.
- A higher percentage of married families is found in Washington at 41.0% compared to 33.0% in Middle river.
- The poverty level is identical in both Washington and Middle river at 8%.
- Middle river has a higher unemployment rate at 4.0% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Middle river provide insight into the diversity of the communities to compare.
Demographic | Washington | Middle river |
---|---|---|
Black | Data is updating | 29 |
White | 91 | 51 |
Asian | Data is updating | 7 |
Hispanic | 2 | 8 |
Two or More Races | 7 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Middle river
- In Middle river, the percentage of Black residents is higher at 29% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 91% compared to 51% in Middle river.
- In Middle river, the Asian population stands at 7%, greater than 0% in Washington.
- Middle river has a higher percentage of Hispanic residents at 8%, compared to 2% in Washington.
- More residents identify as two or more races in Washington at 7% compared to 5% in Middle river.
- The percentage of American Indian residents is the same in both Washington and Middle river at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Middle river |
---|---|---|
Mental Health Not Good | 16.8% | 17.8% |
Physical Health Not Good | 11.0% | 11.1% |
Depression | 24.6% | 24.1% |
Smoking | 18.3% | 17.2% |
Binge Drinking | 19.8% | 15.0% |
Obesity | 36.6% | 38.7% |
Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Washington vs Middle river
- In Middle river, a higher percentage report poor mental health at 17.8% compared to 16.8% in Washington.
- Depression is more prevalent in Washington at 24.6% compared to 24.1% in Middle river.
- Smoking is more prevalent in Washington at 18.3% compared to 17.2% in Middle river.
- Binge drinking is more common in Washington at 19.8% compared to 15.0% in Middle river.
- Middle river has higher obesity rates at 38.7% compared to 36.6% in Washington.
- Disability percentages are the same in both Washington and Middle river at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Middle river |
---|---|---|
No Schooling | 0.3% (41) | 2.6% (818) |
High School Diploma | 15.0% (2,260) | 20.1% (6,254) |
Less than High School | 8.7% (1,311) | 14.8% (4,616) |
Bachelor's Degree and Higher | 18.8% (2,838) | 19.4% (6,048) |
Education Levels Comparison: Washington vs Middle river
- In Middle river, a larger percentage of residents lack formal schooling at 2.6% compared to 0.3% in Washington.
- In Middle river, the rate of residents with high school diplomas is higher at 20.1% compared to 15.0% in Washington.
- The percentage of residents with less than a high school education is higher in Middle river at 14.8%, compared to 8.7% in Washington.
- In Middle river, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 18.8% in Washington.
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.