Demographics details for Cleveland, MS vs Boone, NC
Population Overview
Compare main population characteristics in Cleveland, MS vs Boone, NC.
| Data | Cleveland | Boone |
|---|---|---|
| Population | 10,545 | 19,756 |
| Median Age | 33.8 years | 21.4 years |
| Median Income | $42,005 | $28,242 |
| Married Families | 27.0% | 11.0% |
| Poverty Level | 24% | 15% |
| Unemployment Rate | 5.6 | 4.2 |
Population Comparison: Cleveland vs Boone
- The population in Boone is higher at 19,756, compared to 10,545 in Cleveland.
- Residents in Cleveland have a higher median age of 33.8 years compared to 21.4 years in Boone.
- Cleveland has a higher median income of $42,005 compared to $28,242 in Boone.
- A higher percentage of married families is found in Cleveland at 27.0% compared to 11.0% in Boone.
- Cleveland has a higher poverty level at 24% compared to 15% in Boone.
- The unemployment rate in Cleveland is higher at 5.6%, compared to 4.2% in Boone.
Demographics
Demographics Cleveland vs Boone provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Boone |
|---|---|---|
| Black | 56 | 3 |
| White | 36 | 86 |
| Asian | 2 | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Boone
- A higher percentage of Black residents are in Cleveland at 56% compared to 3% in Boone.
- The percentage of White residents is higher in Boone at 86% compared to 36% in Cleveland.
- Both Cleveland and Boone have the same percentage of Asian residents at 2%.
- Boone has a higher percentage of Hispanic residents at 5%, compared to 1% in Cleveland.
- More residents identify as two or more races in Cleveland at 5% compared to 4% in Boone.
- The percentage of American Indian residents is the same in both Cleveland and Boone at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Boone |
|---|---|---|
| Mental Health Not Good | 17.6% | 19.0% |
| Physical Health Not Good | 13.8% | 13.7% |
| Depression | 20.4% | 27.0% |
| Smoking | 21.0% | 20.2% |
| Binge Drinking | 12.7% | 16.2% |
| Obesity | 41.4% | 36.3% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Cleveland vs Boone
- In Boone, a higher percentage report poor mental health at 19.0% compared to 17.6% in Cleveland.
- Higher depression rates are seen in Boone at 27.0% versus 20.4% in Cleveland.
- Smoking is more prevalent in Cleveland at 21.0% compared to 20.2% in Boone.
- More residents engage in binge drinking in Boone at 16.2% compared to 12.7% in Cleveland.
- Obesity rates are higher in Cleveland at 41.4% compared to 36.3% in Boone.
- Disability percentages are higher in Cleveland at 20.0% compared to 10.0% in Boone.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Boone |
|---|---|---|
| No Schooling | 0.9% (99) | 0.1% (10) |
| High School Diploma | 10.0% (1,059) | 4.2% (824) |
| Less than High School | 13.3% (1,404) | 4.4% (866) |
| Bachelor's Degree and Higher | 21.3% (2,242) | 12.9% (2,557) |
Education Levels Comparison: Cleveland vs Boone
- A higher percentage of residents in Cleveland have no formal schooling at 0.9% compared to 0.1% in Boone.
- A higher percentage of residents in Cleveland hold a high school diploma at 10.0% compared to 4.2% in Boone.
- More residents in Cleveland have less than a high school education at 13.3% compared to 4.4% in Boone.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 21.3% compared to 12.9% in Boone.
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.