Demographics details for Ashland, OH vs Middle river, MD
Population Overview
Compare main population characteristics in Ashland, OH vs Middle river, MD.
Data | Ashland | Middle river |
---|---|---|
Population | 19,015 | 31,155 |
Median Age | 38.8 years | 36.7 years |
Median Income | $56,040 | $72,970 |
Married Families | 38.0% | 33.0% |
Poverty Level | 11% | 8% |
Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Ashland vs Middle river
- The population in Middle river is higher at 31,155, compared to 19,015 in Ashland.
- Residents in Ashland have a higher median age of 38.8 years compared to 36.7 years in Middle river.
- Middle river has a higher median income of $72,970, compared to $56,040 in Ashland.
- A higher percentage of married families is found in Ashland at 38.0% compared to 33.0% in Middle river.
- Ashland has a higher poverty level at 11% compared to 8% in Middle river.
- The unemployment rate in Ashland is higher at 4.2%, compared to 4.0% in Middle river.
Demographics
Demographics Ashland vs Middle river provide insight into the diversity of the communities to compare.
Demographic | Ashland | Middle river |
---|---|---|
Black | 2 | 29 |
White | 91 | 51 |
Asian | 1 | 7 |
Hispanic | 2 | 8 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ashland vs Middle river
- In Middle river, the percentage of Black residents is higher at 29% compared to 2% in Ashland.
- Ashland 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 1% in Ashland.
- Middle river has a higher percentage of Hispanic residents at 8%, compared to 2% in Ashland.
- The percentage of residents identifying as two or more races is higher in Middle river at 5%, compared to 4% in Ashland.
- The percentage of American Indian residents is the same in both Ashland and Middle river at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ashland | Middle river |
---|---|---|
Mental Health Not Good | 18.2% | 17.8% |
Physical Health Not Good | 12.1% | 11.1% |
Depression | 24.6% | 24.1% |
Smoking | 20.6% | 17.2% |
Binge Drinking | 18.1% | 15.0% |
Obesity | 38.7% | 38.7% |
Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Ashland vs Middle river
- More residents in Ashland report poor mental health at 18.2% compared to 17.8% in Middle river.
- Depression is more prevalent in Ashland at 24.6% compared to 24.1% in Middle river.
- Smoking is more prevalent in Ashland at 20.6% compared to 17.2% in Middle river.
- Binge drinking is more common in Ashland at 18.1% compared to 15.0% in Middle river.
- Both cities have the same obesity rates at 38.7%.
- Disability percentages are higher in Ashland at 16.0% compared to 14.0% in Middle river.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ashland | Middle river |
---|---|---|
No Schooling | 0.1% (28) | 2.6% (818) |
High School Diploma | 23.0% (4,380) | 20.1% (6,254) |
Less than High School | 12.3% (2,337) | 14.8% (4,616) |
Bachelor's Degree and Higher | 16.6% (3,160) | 19.4% (6,048) |
Education Levels Comparison: Ashland vs Middle river
- In Middle river, a larger percentage of residents lack formal schooling at 2.6% compared to 0.1% in Ashland.
- A higher percentage of residents in Ashland hold a high school diploma at 23.0% compared to 20.1% in Middle river.
- The percentage of residents with less than a high school education is higher in Middle river at 14.8%, compared to 12.3% in Ashland.
- In Middle river, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 16.6% in Ashland.
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.