Demographics details for Bangor, WI vs Cleveland, MS
Population Overview
Compare main population characteristics in Bangor, WI vs Cleveland, MS.
| Data | Bangor | Cleveland |
|---|---|---|
| Population | 1,446 | 10,545 |
| Median Age | 40.0 years | 33.8 years |
| Median Income | $72,019 | $42,005 |
| Married Families | 41.0% | 27.0% |
| Poverty Level | 8% | 24% |
| Unemployment Rate | 3.0 | 5.6 |
Population Comparison: Bangor vs Cleveland
- The population in Cleveland is higher at 10,545, compared to 1,446 in Bangor.
- Residents in Bangor have a higher median age of 40.0 years compared to 33.8 years in Cleveland.
- Bangor has a higher median income of $72,019 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Bangor at 41.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 8% in Bangor.
- Cleveland has a higher unemployment rate at 5.6% compared to 3.0% in Bangor.
Demographics
Demographics Bangor vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Bangor | Cleveland |
|---|---|---|
| Black | Data is updating | 56 |
| White | 97 | 36 |
| Asian | 1 | 2 |
| Hispanic | 1 | 1 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bangor vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 0% in Bangor.
- Bangor has a higher percentage of White residents at 97% compared to 36% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 1% in Bangor.
- The percentage of Hispanic residents is the same in both Bangor and Cleveland at 1%.
- The percentage of residents identifying as two or more races is higher in Cleveland at 5%, compared to 1% in Bangor.
- The percentage of American Indian residents is the same in both Bangor and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bangor | Cleveland |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.6% |
| Physical Health Not Good | 9.4% | 13.8% |
| Depression | 25.2% | 20.4% |
| Smoking | 15.3% | 21.0% |
| Binge Drinking | 25.4% | 12.7% |
| Obesity | 35.2% | 41.4% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Bangor vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 14.7% in Bangor.
- Depression is more prevalent in Bangor at 25.2% compared to 20.4% in Cleveland.
- Cleveland has a higher smoking rate at 21.0% compared to 15.3% in Bangor.
- Binge drinking is more common in Bangor at 25.4% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 35.2% in Bangor.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 9.0% in Bangor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bangor | Cleveland |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (99) |
| High School Diploma | 15.5% (224) | 10.0% (1,059) |
| Less than High School | 5.1% (74) | 13.3% (1,404) |
| Bachelor's Degree and Higher | 16.6% (240) | 21.3% (2,242) |
Education Levels Comparison: Bangor vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Bangor.
- A higher percentage of residents in Bangor hold a high school diploma at 15.5% compared to 10.0% in Cleveland.
- The percentage of residents with less than a high school education is higher in Cleveland at 13.3%, compared to 5.1% in Bangor.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 16.6% in Bangor.
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.