Demographics details for Cleveland, OH vs Santa maria, CA
Population Overview
Compare main population characteristics in Cleveland, OH vs Santa maria, CA.
Data | Cleveland | Santa maria |
---|---|---|
Population | 361,607 | 110,125 |
Median Age | 36.3 years | 29.3 years |
Median Income | $37,271 | $81,237 |
Married Families | 20.0% | 31.0% |
Poverty Level | 23% | 15% |
Unemployment Rate | 5.7 | 5.0 |
Population Comparison: Cleveland vs Santa maria
- In Cleveland, the population is higher at 361,607, compared to 110,125 in Santa maria.
- Residents in Cleveland have a higher median age of 36.3 years compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237, compared to $37,271 in Cleveland.
- In Santa maria, the percentage of married families is higher at 31.0%, compared to 20.0% in Cleveland.
- Cleveland has a higher poverty level at 23% compared to 15% in Santa maria.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 5.0% in Santa maria.
Demographics
Demographics Cleveland vs Santa maria provide insight into the diversity of the communities to compare.
Demographic | Cleveland | Santa maria |
---|---|---|
Black | 48 | 1 |
White | 28 | -13 |
Asian | 3 | 5 |
Hispanic | 13 | 77 |
Two or More Races | 8 | 28 |
American Indian | Data is updating | 2 |
Demographics Comparison: Cleveland vs Santa maria
- A higher percentage of Black residents are in Cleveland at 48% compared to 1% in Santa maria.
- Cleveland has a higher percentage of White residents at 28% compared to -13% in Santa maria.
- In Santa maria, the Asian population stands at 5%, greater than 3% in Cleveland.
- Santa maria has a higher percentage of Hispanic residents at 77%, compared to 13% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 8% in Cleveland.
- In Santa maria, the percentage of American Indian residents is higher at 2%, compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | Santa maria |
---|---|---|
Mental Health Not Good | 20.2% | 17.2% |
Physical Health Not Good | 16.6% | 14.2% |
Depression | 24.0% | 19.5% |
Smoking | 27.1% | 15.3% |
Binge Drinking | 14.8% | 14.9% |
Obesity | 42.1% | 32.8% |
Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Cleveland vs Santa maria
- More residents in Cleveland report poor mental health at 20.2% compared to 17.2% in Santa maria.
- Depression is more prevalent in Cleveland at 24.0% compared to 19.5% in Santa maria.
- Smoking is more prevalent in Cleveland at 27.1% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Santa maria at 14.9% compared to 14.8% in Cleveland.
- Obesity rates are higher in Cleveland at 42.1% compared to 32.8% in Santa maria.
- Disability percentages are higher in Cleveland at 20.0% compared to 10.0% in Santa maria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | Santa maria |
---|---|---|
No Schooling | 1.6% (5,667) | 3.9% (4,329) |
High School Diploma | 19.0% (68,853) | 10.4% (11,486) |
Less than High School | 17.5% (63,329) | 40.4% (44,477) |
Bachelor's Degree and Higher | 14.3% (51,656) | 8.1% (8,930) |
Education Levels Comparison: Cleveland vs Santa maria
- In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 1.6% in Cleveland.
- A higher percentage of residents in Cleveland hold a high school diploma at 19.0% compared to 10.4% in Santa maria.
- The percentage of residents with less than a high school education is higher in Santa maria at 40.4%, compared to 17.5% in Cleveland.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 14.3% compared to 8.1% in Santa maria.
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.