Demographics details for Council bluffs, IA vs Cleveland, MS
Population Overview
Compare main population characteristics in Council bluffs, IA vs Cleveland, MS.
Data | Council bluffs | Cleveland |
---|---|---|
Population | 62,405 | 10,545 |
Median Age | 38.4 years | 33.8 years |
Median Income | $61,181 | $42,005 |
Married Families | 34.0% | 27.0% |
Poverty Level | 10% | 24% |
Unemployment Rate | 3.3 | 5.6 |
Population Comparison: Council bluffs vs Cleveland
- In Council bluffs, the population is higher at 62,405, compared to 10,545 in Cleveland.
- Residents in Council bluffs have a higher median age of 38.4 years compared to 33.8 years in Cleveland.
- Council bluffs has a higher median income of $61,181 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Council bluffs at 34.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 10% in Council bluffs.
- Cleveland has a higher unemployment rate at 5.6% compared to 3.3% in Council bluffs.
Demographics
Demographics Council bluffs vs Cleveland provide insight into the diversity of the communities to compare.
Demographic | Council bluffs | Cleveland |
---|---|---|
Black | 2 | 56 |
White | 81 | 36 |
Asian | 1 | 2 |
Hispanic | 10 | 1 |
Two or More Races | 6 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Council bluffs vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 2% in Council bluffs.
- Council bluffs has a higher percentage of White residents at 81% compared to 36% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 1% in Council bluffs.
- The Hispanic community is larger in Council bluffs at 10% compared to 1% in Cleveland.
- More residents identify as two or more races in Council bluffs at 6% compared to 5% in Cleveland.
- The percentage of American Indian residents is the same in both Council bluffs and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Council bluffs | Cleveland |
---|---|---|
Mental Health Not Good | 16.6% | 17.6% |
Physical Health Not Good | 10.9% | 13.8% |
Depression | 18.9% | 20.4% |
Smoking | 19.4% | 21.0% |
Binge Drinking | 21.3% | 12.7% |
Obesity | 39.3% | 41.4% |
Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Council bluffs vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 16.6% in Council bluffs.
- Higher depression rates are seen in Cleveland at 20.4% versus 18.9% in Council bluffs.
- Cleveland has a higher smoking rate at 21.0% compared to 19.4% in Council bluffs.
- Binge drinking is more common in Council bluffs at 21.3% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 39.3% in Council bluffs.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 16.0% in Council bluffs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Council bluffs | Cleveland |
---|---|---|
No Schooling | 0.9% (537) | 0.9% (99) |
High School Diploma | 19.2% (11,983) | 10.0% (1,059) |
Less than High School | 15.4% (9,596) | 13.3% (1,404) |
Bachelor's Degree and Higher | 14.6% (9,113) | 21.3% (2,242) |
Education Levels Comparison: Council bluffs vs Cleveland
- The percentage of residents with no formal schooling is the same in both Council bluffs and Cleveland at 0.9%.
- A higher percentage of residents in Council bluffs hold a high school diploma at 19.2% compared to 10.0% in Cleveland.
- More residents in Council bluffs have less than a high school education at 15.4% compared to 13.3% in Cleveland.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 14.6% in Council bluffs.
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.