Demographics details for Felicity, OH vs Cleveland, MS
Population Overview
Compare main population characteristics in Felicity, OH vs Cleveland, MS.
| Data | Felicity | Cleveland |
|---|---|---|
| Population | 653 | 10,545 |
| Median Age | 39.5 years | 33.8 years |
| Median Income | $34,821 | $42,005 |
| Married Families | 26.0% | 27.0% |
| Poverty Level | 10% | 24% |
| Unemployment Rate | 4.5 | 5.6 |
Population Comparison: Felicity vs Cleveland
- The population in Cleveland is higher at 10,545, compared to 653 in Felicity.
- Residents in Felicity have a higher median age of 39.5 years compared to 33.8 years in Cleveland.
- Cleveland has a higher median income of $42,005, compared to $34,821 in Felicity.
- In Cleveland, the percentage of married families is higher at 27.0%, compared to 26.0% in Felicity.
- The poverty level is higher in Cleveland at 24%, compared to 10% in Felicity.
- Cleveland has a higher unemployment rate at 5.6% compared to 4.5% in Felicity.
Demographics
Demographics Felicity vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Felicity | Cleveland |
|---|---|---|
| Black | Data is updating | 56 |
| White | 100 | 36 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 1 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Felicity vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 0% in Felicity.
- Felicity has a higher percentage of White residents at 100% compared to 36% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 0% in Felicity.
- Cleveland has a higher percentage of Hispanic residents at 1%, compared to 0% in Felicity.
- The percentage of residents identifying as two or more races is higher in Cleveland at 5%, compared to 0% in Felicity.
- The percentage of American Indian residents is the same in both Felicity and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Felicity | Cleveland |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.6% |
| Physical Health Not Good | 12.3% | 13.8% |
| Depression | 25.3% | 20.4% |
| Smoking | 22.8% | 21.0% |
| Binge Drinking | 19.8% | 12.7% |
| Obesity | 36.8% | 41.4% |
| Disability Percentage | 31.0% | 20.0% |
Health Statistics Comparison: Felicity vs Cleveland
- More residents in Felicity report poor mental health at 18.3% compared to 17.6% in Cleveland.
- Depression is more prevalent in Felicity at 25.3% compared to 20.4% in Cleveland.
- Smoking is more prevalent in Felicity at 22.8% compared to 21.0% in Cleveland.
- Binge drinking is more common in Felicity at 19.8% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 36.8% in Felicity.
- Disability percentages are higher in Felicity at 31.0% compared to 20.0% in Cleveland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Felicity | Cleveland |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (99) |
| High School Diploma | 18.2% (119) | 10.0% (1,059) |
| Less than High School | 25.7% (168) | 13.3% (1,404) |
| Bachelor's Degree and Higher | 3.5% (23) | 21.3% (2,242) |
Education Levels Comparison: Felicity vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Felicity.
- A higher percentage of residents in Felicity hold a high school diploma at 18.2% compared to 10.0% in Cleveland.
- More residents in Felicity have less than a high school education at 25.7% compared to 13.3% in Cleveland.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 3.5% in Felicity.
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.