Demographics details for Cleveland, OH vs Riverhead, NY
Population Overview
Compare main population characteristics in Cleveland, OH vs Riverhead, NY.
Data | Cleveland | Riverhead |
---|---|---|
Population | 361,607 | 33,539 |
Median Age | 36.3 years | 42.0 years |
Median Income | $37,271 | $80,000 |
Married Families | 20.0% | 60.0% |
Poverty Level | 23% | 7% |
Unemployment Rate | 5.7 | 3.3 |
Population Comparison: Cleveland vs Riverhead
- In Cleveland, the population is higher at 361,607, compared to 33,539 in Riverhead.
- The median age in Riverhead is higher at 42.0 years, compared to 36.3 years in Cleveland.
- Riverhead has a higher median income of $80,000, compared to $37,271 in Cleveland.
- In Riverhead, the percentage of married families is higher at 60.0%, compared to 20.0% in Cleveland.
- Cleveland has a higher poverty level at 23% compared to 7% in Riverhead.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 3.3% in Riverhead.
Demographics
Demographics Cleveland vs Riverhead provide insight into the diversity of the communities to compare.
Demographic | Cleveland | Riverhead |
---|---|---|
Black | 48 | 10 |
White | 28 | 70 |
Asian | 3 | 5 |
Hispanic | 13 | 15 |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Riverhead
- A higher percentage of Black residents are in Cleveland at 48% compared to 10% in Riverhead.
- The percentage of White residents is higher in Riverhead at 70% compared to 28% in Cleveland.
- In Riverhead, the Asian population stands at 5%, greater than 3% in Cleveland.
- Riverhead has a higher percentage of Hispanic residents at 15%, compared to 13% in Cleveland.
- More residents identify as two or more races in Cleveland at 8% compared to 0% in Riverhead.
- The percentage of American Indian residents is the same in both Cleveland and Riverhead at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | Riverhead |
---|---|---|
Mental Health Not Good | 20.2% | Data is updating% |
Physical Health Not Good | 16.6% | Data is updating% |
Depression | 24.0% | Data is updating% |
Smoking | 27.1% | Data is updating% |
Binge Drinking | 14.8% | Data is updating% |
Obesity | 42.1% | Data is updating% |
Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Cleveland vs Riverhead
- More residents in Cleveland report poor mental health at 20.2% compared to 0.0% in Riverhead.
- Depression is more prevalent in Cleveland at 24.0% compared to 0.0% in Riverhead.
- Smoking is more prevalent in Cleveland at 27.1% compared to 0.0% in Riverhead.
- Binge drinking is more common in Cleveland at 14.8% compared to 0.0% in Riverhead.
- Obesity rates are higher in Cleveland at 42.1% compared to 0.0% in Riverhead.
- Disability percentages are higher in Cleveland at 20.0% compared to 0.0% in Riverhead.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | Riverhead |
---|---|---|
No Schooling | 1.6% (5,667) | 0.0% (Data is updating) |
High School Diploma | 19.0% (68,853) | 0.0% (Data is updating) |
Less than High School | 17.5% (63,329) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 14.3% (51,656) | 0.0% (Data is updating) |
Education Levels Comparison: Cleveland vs Riverhead
- A higher percentage of residents in Cleveland have no formal schooling at 1.6% compared to 0.0% in Riverhead.
- A higher percentage of residents in Cleveland hold a high school diploma at 19.0% compared to 0.0% in Riverhead.
- More residents in Cleveland have less than a high school education at 17.5% compared to 0.0% in Riverhead.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 14.3% compared to 0.0% in Riverhead.
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.