Demographics details for Jupiter, FL vs Cleveland heights, OH
Population Overview
Compare main population characteristics in Jupiter, FL vs Cleveland heights, OH.
Data | Jupiter | Cleveland heights |
---|---|---|
Population | 61,126 | 44,201 |
Median Age | 47.1 years | 36.7 years |
Median Income | $105,413 | $69,155 |
Married Families | 45.0% | 33.0% |
Poverty Level | 9% | 13% |
Unemployment Rate | 2.9 | 4.6 |
Population Comparison: Jupiter vs Cleveland heights
- In Jupiter, the population is higher at 61,126, compared to 44,201 in Cleveland heights.
- Residents in Jupiter have a higher median age of 47.1 years compared to 36.7 years in Cleveland heights.
- Jupiter has a higher median income of $105,413 compared to $69,155 in Cleveland heights.
- A higher percentage of married families is found in Jupiter at 45.0% compared to 33.0% in Cleveland heights.
- The poverty level is higher in Cleveland heights at 13%, compared to 9% in Jupiter.
- Cleveland heights has a higher unemployment rate at 4.6% compared to 2.9% in Jupiter.
Demographics
Demographics Jupiter vs Cleveland heights provide insight into the diversity of the communities to compare.
Demographic | Jupiter | Cleveland heights |
---|---|---|
Black | 1 | 42 |
White | 69 | 46 |
Asian | 2 | 5 |
Hispanic | 16 | 3 |
Two or More Races | 11 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Jupiter vs Cleveland heights
- In Cleveland heights, the percentage of Black residents is higher at 42% compared to 1% in Jupiter.
- Jupiter has a higher percentage of White residents at 69% compared to 46% in Cleveland heights.
- In Cleveland heights, the Asian population stands at 5%, greater than 2% in Jupiter.
- The Hispanic community is larger in Jupiter at 16% compared to 3% in Cleveland heights.
- More residents identify as two or more races in Jupiter at 11% compared to 4% in Cleveland heights.
- A greater percentage of American Indian residents live in Jupiter at 1% compared to 0% in Cleveland heights.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jupiter | Cleveland heights |
---|---|---|
Mental Health Not Good | 14.1% | 15.7% |
Physical Health Not Good | 8.6% | 10.9% |
Depression | 17.9% | 21.8% |
Smoking | 14.4% | 16.0% |
Binge Drinking | 17.7% | 16.7% |
Obesity | 23.3% | 34.5% |
Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Jupiter vs Cleveland heights
- In Cleveland heights, a higher percentage report poor mental health at 15.7% compared to 14.1% in Jupiter.
- Higher depression rates are seen in Cleveland heights at 21.8% versus 17.9% in Jupiter.
- Cleveland heights has a higher smoking rate at 16.0% compared to 14.4% in Jupiter.
- Binge drinking is more common in Jupiter at 17.7% compared to 16.7% in Cleveland heights.
- Cleveland heights has higher obesity rates at 34.5% compared to 23.3% in Jupiter.
- Disability percentages are the same in both Jupiter and Cleveland heights at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Jupiter | Cleveland heights |
---|---|---|
No Schooling | 1.2% (721) | 0.4% (157) |
High School Diploma | 10.8% (6,624) | 9.5% (4,183) |
Less than High School | 9.1% (5,552) | 3.7% (1,638) |
Bachelor's Degree and Higher | 36.5% (22,312) | 39.6% (17,513) |
Education Levels Comparison: Jupiter vs Cleveland heights
- A higher percentage of residents in Jupiter have no formal schooling at 1.2% compared to 0.4% in Cleveland heights.
- A higher percentage of residents in Jupiter hold a high school diploma at 10.8% compared to 9.5% in Cleveland heights.
- More residents in Jupiter have less than a high school education at 9.1% compared to 3.7% in Cleveland heights.
- In Cleveland heights, a larger share of residents have a bachelor's degree or higher at 39.6% compared to 36.5% in Jupiter.
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.