Demographics details for Cleveland, MS vs Park ridge, NJ
Population Overview
Compare main population characteristics in Cleveland, MS vs Park ridge, NJ.
Data | Cleveland | Park ridge |
---|---|---|
Population | 10,545 | 9,426 |
Median Age | 33.8 years | 47.8 years |
Median Income | $42,005 | $164,241 |
Married Families | 27.0% | 50.0% |
Poverty Level | 24% | Data is updating |
Unemployment Rate | 5.6 | 4.5 |
Population Comparison: Cleveland vs Park ridge
- In Cleveland, the population is higher at 10,545, compared to 9,426 in Park ridge.
- The median age in Park ridge is higher at 47.8 years, compared to 33.8 years in Cleveland.
- Park ridge has a higher median income of $164,241, compared to $42,005 in Cleveland.
- In Park ridge, the percentage of married families is higher at 50.0%, compared to 27.0% in Cleveland.
- Cleveland has a higher poverty level at 24% compared to 0% in Park ridge.
- The unemployment rate in Cleveland is higher at 5.6%, compared to 4.5% in Park ridge.
Demographics
Demographics Cleveland vs Park ridge provide insight into the diversity of the communities to compare.
Demographic | Cleveland | Park ridge |
---|---|---|
Black | 56 | 1 |
White | 36 | 77 |
Asian | 2 | 4 |
Hispanic | 1 | 13 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Park ridge
- A higher percentage of Black residents are in Cleveland at 56% compared to 1% in Park ridge.
- The percentage of White residents is higher in Park ridge at 77% compared to 36% in Cleveland.
- In Park ridge, the Asian population stands at 4%, greater than 2% in Cleveland.
- Park ridge has a higher percentage of Hispanic residents at 13%, compared to 1% in Cleveland.
- Both Cleveland and Park ridge have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Cleveland and Park ridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | Park ridge |
---|---|---|
Mental Health Not Good | 17.6% | 13.1% |
Physical Health Not Good | 13.8% | 7.4% |
Depression | 20.4% | 17.8% |
Smoking | 21.0% | 10.2% |
Binge Drinking | 12.7% | 18.7% |
Obesity | 41.4% | 24.6% |
Disability Percentage | 20.0% | 5.0% |
Health Statistics Comparison: Cleveland vs Park ridge
- More residents in Cleveland report poor mental health at 17.6% compared to 13.1% in Park ridge.
- Depression is more prevalent in Cleveland at 20.4% compared to 17.8% in Park ridge.
- Smoking is more prevalent in Cleveland at 21.0% compared to 10.2% in Park ridge.
- More residents engage in binge drinking in Park ridge at 18.7% compared to 12.7% in Cleveland.
- Obesity rates are higher in Cleveland at 41.4% compared to 24.6% in Park ridge.
- Disability percentages are higher in Cleveland at 20.0% compared to 5.0% in Park ridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | Park ridge |
---|---|---|
No Schooling | 0.9% (99) | 0.3% (27) |
High School Diploma | 10.0% (1,059) | 12.4% (1,169) |
Less than High School | 13.3% (1,404) | 5.8% (549) |
Bachelor's Degree and Higher | 21.3% (2,242) | 37.8% (3,565) |
Education Levels Comparison: Cleveland vs Park ridge
- A higher percentage of residents in Cleveland have no formal schooling at 0.9% compared to 0.3% in Park ridge.
- In Park ridge, the rate of residents with high school diplomas is higher at 12.4% compared to 10.0% in Cleveland.
- More residents in Cleveland have less than a high school education at 13.3% compared to 5.8% in Park ridge.
- In Park ridge, a larger share of residents have a bachelor's degree or higher at 37.8% compared to 21.3% 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.