Demographics details for Cleveland, MS vs Indian trail, NC
Population Overview
Compare main population characteristics in Cleveland, MS vs Indian trail, NC.
| Data | Cleveland | Indian trail |
|---|---|---|
| Population | 10,545 | 41,724 |
| Median Age | 33.8 years | 36.1 years |
| Median Income | $42,005 | $95,101 |
| Married Families | 27.0% | 45.0% |
| Poverty Level | 24% | 6% |
| Unemployment Rate | 5.6 | 3.8 |
Population Comparison: Cleveland vs Indian trail
- The population in Indian trail is higher at 41,724, compared to 10,545 in Cleveland.
- The median age in Indian trail is higher at 36.1 years, compared to 33.8 years in Cleveland.
- Indian trail has a higher median income of $95,101, compared to $42,005 in Cleveland.
- In Indian trail, the percentage of married families is higher at 45.0%, compared to 27.0% in Cleveland.
- Cleveland has a higher poverty level at 24% compared to 6% in Indian trail.
- The unemployment rate in Cleveland is higher at 5.6%, compared to 3.8% in Indian trail.
Demographics
Demographics Cleveland vs Indian trail provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Indian trail |
|---|---|---|
| Black | 56 | 9 |
| White | 36 | 71 |
| Asian | 2 | 3 |
| Hispanic | 1 | 11 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Indian trail
- A higher percentage of Black residents are in Cleveland at 56% compared to 9% in Indian trail.
- The percentage of White residents is higher in Indian trail at 71% compared to 36% in Cleveland.
- In Indian trail, the Asian population stands at 3%, greater than 2% in Cleveland.
- Indian trail has a higher percentage of Hispanic residents at 11%, compared to 1% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Indian trail at 6%, compared to 5% in Cleveland.
- The percentage of American Indian residents is the same in both Cleveland and Indian trail at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Indian trail |
|---|---|---|
| Mental Health Not Good | 17.6% | 14.6% |
| Physical Health Not Good | 13.8% | 9.3% |
| Depression | 20.4% | 22.0% |
| Smoking | 21.0% | 13.5% |
| Binge Drinking | 12.7% | 18.5% |
| Obesity | 41.4% | 31.2% |
| Disability Percentage | 20.0% | 7.0% |
Health Statistics Comparison: Cleveland vs Indian trail
- More residents in Cleveland report poor mental health at 17.6% compared to 14.6% in Indian trail.
- Higher depression rates are seen in Indian trail at 22.0% versus 20.4% in Cleveland.
- Smoking is more prevalent in Cleveland at 21.0% compared to 13.5% in Indian trail.
- More residents engage in binge drinking in Indian trail at 18.5% compared to 12.7% in Cleveland.
- Obesity rates are higher in Cleveland at 41.4% compared to 31.2% in Indian trail.
- Disability percentages are higher in Cleveland at 20.0% compared to 7.0% in Indian trail.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Indian trail |
|---|---|---|
| No Schooling | 0.9% (99) | 0.7% (287) |
| High School Diploma | 10.0% (1,059) | 12.8% (5,353) |
| Less than High School | 13.3% (1,404) | 6.6% (2,761) |
| Bachelor's Degree and Higher | 21.3% (2,242) | 24.4% (10,201) |
Education Levels Comparison: Cleveland vs Indian trail
- A higher percentage of residents in Cleveland have no formal schooling at 0.9% compared to 0.7% in Indian trail.
- In Indian trail, the rate of residents with high school diplomas is higher at 12.8% compared to 10.0% in Cleveland.
- More residents in Cleveland have less than a high school education at 13.3% compared to 6.6% in Indian trail.
- In Indian trail, a larger share of residents have a bachelor's degree or higher at 24.4% compared to 21.3% in Cleveland.
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.