Demographics details for Cleveland, OH vs Hagerstown, MD
Population Overview
Compare main population characteristics in Cleveland, OH vs Hagerstown, MD.
Data | Cleveland | Hagerstown |
---|---|---|
Population | 361,607 | 43,701 |
Median Age | 36.3 years | 35.9 years |
Median Income | $37,271 | $48,481 |
Married Families | 20.0% | 29.0% |
Poverty Level | 23% | 10% |
Unemployment Rate | 5.7 | 3.9 |
Population Comparison: Cleveland vs Hagerstown
- In Cleveland, the population is higher at 361,607, compared to 43,701 in Hagerstown.
- Residents in Cleveland have a higher median age of 36.3 years compared to 35.9 years in Hagerstown.
- Hagerstown has a higher median income of $48,481, compared to $37,271 in Cleveland.
- In Hagerstown, the percentage of married families is higher at 29.0%, compared to 20.0% in Cleveland.
- Cleveland has a higher poverty level at 23% compared to 10% in Hagerstown.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 3.9% in Hagerstown.
Demographics
Demographics Cleveland vs Hagerstown provide insight into the diversity of the communities to compare.
Demographic | Cleveland | Hagerstown |
---|---|---|
Black | 48 | 21 |
White | 28 | 56 |
Asian | 3 | 2 |
Hispanic | 13 | 10 |
Two or More Races | 8 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Hagerstown
- A higher percentage of Black residents are in Cleveland at 48% compared to 21% in Hagerstown.
- The percentage of White residents is higher in Hagerstown at 56% compared to 28% in Cleveland.
- The Asian population is larger in Cleveland at 3% compared to 2% in Hagerstown.
- The Hispanic community is larger in Cleveland at 13% compared to 10% in Hagerstown.
- The percentage of residents identifying as two or more races is higher in Hagerstown at 11%, compared to 8% in Cleveland.
- The percentage of American Indian residents is the same in both Cleveland and Hagerstown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | Hagerstown |
---|---|---|
Mental Health Not Good | 20.2% | 19.8% |
Physical Health Not Good | 16.6% | 13.5% |
Depression | 24.0% | 25.7% |
Smoking | 27.1% | 21.9% |
Binge Drinking | 14.8% | 14.1% |
Obesity | 42.1% | 42.7% |
Disability Percentage | 20.0% | 20.0% |
Health Statistics Comparison: Cleveland vs Hagerstown
- More residents in Cleveland report poor mental health at 20.2% compared to 19.8% in Hagerstown.
- Higher depression rates are seen in Hagerstown at 25.7% versus 24.0% in Cleveland.
- Smoking is more prevalent in Cleveland at 27.1% compared to 21.9% in Hagerstown.
- Binge drinking is more common in Cleveland at 14.8% compared to 14.1% in Hagerstown.
- Hagerstown has higher obesity rates at 42.7% compared to 42.1% in Cleveland.
- Disability percentages are the same in both Cleveland and Hagerstown at 20.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | Hagerstown |
---|---|---|
No Schooling | 1.6% (5,667) | 1.1% (496) |
High School Diploma | 19.0% (68,853) | 20.5% (8,968) |
Less than High School | 17.5% (63,329) | 17.1% (7,464) |
Bachelor's Degree and Higher | 14.3% (51,656) | 13.1% (5,726) |
Education Levels Comparison: Cleveland vs Hagerstown
- A higher percentage of residents in Cleveland have no formal schooling at 1.6% compared to 1.1% in Hagerstown.
- In Hagerstown, the rate of residents with high school diplomas is higher at 20.5% compared to 19.0% in Cleveland.
- More residents in Cleveland have less than a high school education at 17.5% compared to 17.1% in Hagerstown.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 14.3% compared to 13.1% in Hagerstown.
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.