Demographics details for Cleveland, MS vs Mc henry, MD
Population Overview
Compare main population characteristics in Cleveland, MS vs Mc henry, MD.
| Data | Cleveland | Mc henry |
|---|---|---|
| Population | 10,545 | 270 |
| Median Age | 33.8 years | 37.0 years |
| Median Income | $42,005 | $65,000 |
| Married Families | 27.0% | 60.0% |
| Poverty Level | 24% | 10% |
| Unemployment Rate | 5.6 | 4.5 |
Population Comparison: Cleveland vs Mc henry
- In Cleveland, the population is higher at 10,545, compared to 270 in Mc henry.
- The median age in Mc henry is higher at 37.0 years, compared to 33.8 years in Cleveland.
- Mc henry has a higher median income of $65,000, compared to $42,005 in Cleveland.
- In Mc henry, the percentage of married families is higher at 60.0%, compared to 27.0% in Cleveland.
- Cleveland has a higher poverty level at 24% compared to 10% in Mc henry.
- The unemployment rate in Cleveland is higher at 5.6%, compared to 4.5% in Mc henry.
Demographics
Demographics Cleveland vs Mc henry provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Mc henry |
|---|---|---|
| Black | 56 | Data is updating |
| White | 36 | 95 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | 1 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Cleveland vs Mc henry
- A higher percentage of Black residents are in Cleveland at 56% compared to 0% in Mc henry.
- The percentage of White residents is higher in Mc henry at 95% compared to 36% in Cleveland.
- The Asian population is larger in Cleveland at 2% compared to 0% in Mc henry.
- The percentage of Hispanic residents is the same in both Cleveland and Mc henry at 1%.
- More residents identify as two or more races in Cleveland at 5% compared to 2% in Mc henry.
- In Mc henry, the percentage of American Indian residents is higher at 2%, compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Mc henry |
|---|---|---|
| Mental Health Not Good | 17.6% | Data is updating% |
| Physical Health Not Good | 13.8% | Data is updating% |
| Depression | 20.4% | Data is updating% |
| Smoking | 21.0% | Data is updating% |
| Binge Drinking | 12.7% | Data is updating% |
| Obesity | 41.4% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Cleveland vs Mc henry
- More residents in Cleveland report poor mental health at 17.6% compared to 0.0% in Mc henry.
- Depression is more prevalent in Cleveland at 20.4% compared to 0.0% in Mc henry.
- Smoking is more prevalent in Cleveland at 21.0% compared to 0.0% in Mc henry.
- Binge drinking is more common in Cleveland at 12.7% compared to 0.0% in Mc henry.
- Obesity rates are higher in Cleveland at 41.4% compared to 0.0% in Mc henry.
- Disability percentages are higher in Cleveland at 20.0% compared to 0.0% in Mc henry.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Mc henry |
|---|---|---|
| No Schooling | 0.9% (99) | 0.0% (Data is updating) |
| High School Diploma | 10.0% (1,059) | 0.0% (Data is updating) |
| Less than High School | 13.3% (1,404) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 21.3% (2,242) | 0.0% (Data is updating) |
Education Levels Comparison: Cleveland vs Mc henry
- A higher percentage of residents in Cleveland have no formal schooling at 0.9% compared to 0.0% in Mc henry.
- A higher percentage of residents in Cleveland hold a high school diploma at 10.0% compared to 0.0% in Mc henry.
- More residents in Cleveland have less than a high school education at 13.3% compared to 0.0% in Mc henry.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 21.3% compared to 0.0% in Mc henry.
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.