Demographics details for Cleveland, OH vs Marysville, KS
Population Overview
Compare main population characteristics in Cleveland, OH vs Marysville, KS.
| Data | Cleveland | Marysville |
|---|---|---|
| Population | 361,607 | 3,423 |
| Median Age | 36.3 years | 38.8 years |
| Median Income | $37,271 | $53,424 |
| Married Families | 20.0% | 38.0% |
| Poverty Level | 23% | Data is updating |
| Unemployment Rate | 5.7 | 3.5 |
Population Comparison: Cleveland vs Marysville
- In Cleveland, the population is higher at 361,607, compared to 3,423 in Marysville.
- The median age in Marysville is higher at 38.8 years, compared to 36.3 years in Cleveland.
- Marysville has a higher median income of $53,424, compared to $37,271 in Cleveland.
- In Marysville, the percentage of married families is higher at 38.0%, compared to 20.0% in Cleveland.
- Cleveland has a higher poverty level at 23% compared to 0% in Marysville.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 3.5% in Marysville.
Demographics
Demographics Cleveland vs Marysville provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Marysville |
|---|---|---|
| Black | 48 | 2 |
| White | 28 | 86 |
| Asian | 3 | 1 |
| Hispanic | 13 | 5 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Marysville
- A higher percentage of Black residents are in Cleveland at 48% compared to 2% in Marysville.
- The percentage of White residents is higher in Marysville at 86% compared to 28% in Cleveland.
- The Asian population is larger in Cleveland at 3% compared to 1% in Marysville.
- The Hispanic community is larger in Cleveland at 13% compared to 5% in Marysville.
- More residents identify as two or more races in Cleveland at 8% compared to 6% in Marysville.
- The percentage of American Indian residents is the same in both Cleveland and Marysville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Marysville |
|---|---|---|
| Mental Health Not Good | 20.2% | 16.7% |
| Physical Health Not Good | 16.6% | 11.0% |
| Depression | 24.0% | 20.6% |
| Smoking | 27.1% | 19.9% |
| Binge Drinking | 14.8% | 20.1% |
| Obesity | 42.1% | 40.6% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Cleveland vs Marysville
- More residents in Cleveland report poor mental health at 20.2% compared to 16.7% in Marysville.
- Depression is more prevalent in Cleveland at 24.0% compared to 20.6% in Marysville.
- Smoking is more prevalent in Cleveland at 27.1% compared to 19.9% in Marysville.
- More residents engage in binge drinking in Marysville at 20.1% compared to 14.8% in Cleveland.
- Obesity rates are higher in Cleveland at 42.1% compared to 40.6% in Marysville.
- Disability percentages are higher in Cleveland at 20.0% compared to 16.0% in Marysville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Marysville |
|---|---|---|
| No Schooling | 1.6% (5,667) | 0.2% (8) |
| High School Diploma | 19.0% (68,853) | 20.5% (701) |
| Less than High School | 17.5% (63,329) | 12.0% (410) |
| Bachelor's Degree and Higher | 14.3% (51,656) | 19.7% (674) |
Education Levels Comparison: Cleveland vs Marysville
- A higher percentage of residents in Cleveland have no formal schooling at 1.6% compared to 0.2% in Marysville.
- In Marysville, 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 12.0% in Marysville.
- In Marysville, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 14.3% 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.