Demographics details for Cleveland, OH vs White plains, NY
Population Overview
Compare main population characteristics in Cleveland, OH vs White plains, NY.
Data | Cleveland | White plains |
---|---|---|
Population | 361,607 | 59,316 |
Median Age | 36.3 years | 41.4 years |
Median Income | $37,271 | $109,551 |
Married Families | 20.0% | 40.0% |
Poverty Level | 23% | 6% |
Unemployment Rate | 5.7 | 3.2 |
Population Comparison: Cleveland vs White plains
- In Cleveland, the population is higher at 361,607, compared to 59,316 in White plains.
- The median age in White plains is higher at 41.4 years, compared to 36.3 years in Cleveland.
- White plains has a higher median income of $109,551, compared to $37,271 in Cleveland.
- In White plains, the percentage of married families is higher at 40.0%, compared to 20.0% in Cleveland.
- Cleveland has a higher poverty level at 23% compared to 6% in White plains.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 3.2% in White plains.
Demographics
Demographics Cleveland vs White plains provide insight into the diversity of the communities to compare.
Demographic | Cleveland | White plains |
---|---|---|
Black | 48 | 13 |
White | 28 | 39 |
Asian | 3 | 8 |
Hispanic | 13 | 31 |
Two or More Races | 8 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs White plains
- A higher percentage of Black residents are in Cleveland at 48% compared to 13% in White plains.
- The percentage of White residents is higher in White plains at 39% compared to 28% in Cleveland.
- In White plains, the Asian population stands at 8%, greater than 3% in Cleveland.
- White plains has a higher percentage of Hispanic residents at 31%, compared to 13% in Cleveland.
- The percentage of residents identifying as two or more races is higher in White plains at 9%, compared to 8% in Cleveland.
- The percentage of American Indian residents is the same in both Cleveland and White plains at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | White plains |
---|---|---|
Mental Health Not Good | 20.2% | 13.1% |
Physical Health Not Good | 16.6% | 9.1% |
Depression | 24.0% | 17.7% |
Smoking | 27.1% | 11.7% |
Binge Drinking | 14.8% | 15.9% |
Obesity | 42.1% | 28.4% |
Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Cleveland vs White plains
- More residents in Cleveland report poor mental health at 20.2% compared to 13.1% in White plains.
- Depression is more prevalent in Cleveland at 24.0% compared to 17.7% in White plains.
- Smoking is more prevalent in Cleveland at 27.1% compared to 11.7% in White plains.
- More residents engage in binge drinking in White plains at 15.9% compared to 14.8% in Cleveland.
- Obesity rates are higher in Cleveland at 42.1% compared to 28.4% in White plains.
- Disability percentages are higher in Cleveland at 20.0% compared to 10.0% in White plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | White plains |
---|---|---|
No Schooling | 1.6% (5,667) | 1.0% (566) |
High School Diploma | 19.0% (68,853) | 11.6% (6,853) |
Less than High School | 17.5% (63,329) | 14.7% (8,744) |
Bachelor's Degree and Higher | 14.3% (51,656) | 39.0% (23,145) |
Education Levels Comparison: Cleveland vs White plains
- A higher percentage of residents in Cleveland have no formal schooling at 1.6% compared to 1.0% in White plains.
- A higher percentage of residents in Cleveland hold a high school diploma at 19.0% compared to 11.6% in White plains.
- More residents in Cleveland have less than a high school education at 17.5% compared to 14.7% in White plains.
- In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% 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.