Demographics details for Morrow, OH vs Walnut bottom, PA
Population Overview
Compare main population characteristics in Morrow, OH vs Walnut bottom, PA.
Data | Morrow | Walnut bottom |
---|---|---|
Population | 35,339 | 422 |
Median Age | 42.7 years | 37.0 years |
Median Income | $70,412 | $55,000 |
Married Families | 44.0% | 50.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Morrow vs Walnut bottom
- In Morrow, the population is higher at 35,339, compared to 422 in Walnut bottom.
- Residents in Morrow have a higher median age of 42.7 years compared to 37.0 years in Walnut bottom.
- Morrow has a higher median income of $70,412 compared to $55,000 in Walnut bottom.
- In Walnut bottom, the percentage of married families is higher at 50.0%, compared to 44.0% in Morrow.
- The poverty level is higher in Walnut bottom at 10%, compared to 9% in Morrow.
- The unemployment rate in Morrow is higher at 5.1%, compared to 4.5% in Walnut bottom.
Demographics
Demographics Morrow vs Walnut bottom provide insight into the diversity of the communities to compare.
Demographic | Morrow | Walnut bottom |
---|---|---|
Black | 1 | 1 |
White | 95 | 98 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 1 |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Morrow vs Walnut bottom
- The percentage of Black residents is the same in both Morrow and Walnut bottom at 1%.
- The percentage of White residents is higher in Walnut bottom at 98% compared to 95% in Morrow.
- Both Morrow and Walnut bottom have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Morrow at 2% compared to 1% in Walnut bottom.
- More residents identify as two or more races in Morrow at 2% compared to 0% in Walnut bottom.
- The percentage of American Indian residents is the same in both Morrow and Walnut bottom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Morrow | Walnut bottom |
---|---|---|
Mental Health Not Good | 17.8% | Data is updating% |
Physical Health Not Good | 12.0% | Data is updating% |
Depression | 24.1% | Data is updating% |
Smoking | 21.5% | Data is updating% |
Binge Drinking | 17.9% | Data is updating% |
Obesity | 41.0% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Morrow vs Walnut bottom
- More residents in Morrow report poor mental health at 17.8% compared to 0.0% in Walnut bottom.
- Depression is more prevalent in Morrow at 24.1% compared to 0.0% in Walnut bottom.
- Smoking is more prevalent in Morrow at 21.5% compared to 0.0% in Walnut bottom.
- Binge drinking is more common in Morrow at 17.9% compared to 0.0% in Walnut bottom.
- Obesity rates are higher in Morrow at 41.0% compared to 0.0% in Walnut bottom.
- Disability percentages are higher in Morrow at 15.0% compared to 0.0% in Walnut bottom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Morrow | Walnut bottom |
---|---|---|
No Schooling | 0.9% (304) | 0.0% (Data is updating) |
High School Diploma | 27.6% (9,740) | 0.0% (Data is updating) |
Less than High School | 14.2% (5,010) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.8% (4,154) | 0.0% (Data is updating) |
Education Levels Comparison: Morrow vs Walnut bottom
- A higher percentage of residents in Morrow have no formal schooling at 0.9% compared to 0.0% in Walnut bottom.
- A higher percentage of residents in Morrow hold a high school diploma at 27.6% compared to 0.0% in Walnut bottom.
- More residents in Morrow have less than a high school education at 14.2% compared to 0.0% in Walnut bottom.
- A higher percentage of residents in Morrow hold a bachelor's degree or higher at 11.8% compared to 0.0% in Walnut bottom.
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.