Demographics details for Monroe, TN vs Cleveland, MS
Population Overview
Compare main population characteristics in Monroe, TN vs Cleveland, MS.
Data | Monroe | Cleveland |
---|---|---|
Population | 579 | 10,545 |
Median Age | 38.0 years | 33.8 years |
Median Income | $58,000 | $42,005 |
Married Families | 50.0% | 27.0% |
Poverty Level | 12% | 24% |
Unemployment Rate | 4.5 | 5.6 |
Population Comparison: Monroe vs Cleveland
- The population in Cleveland is higher at 10,545, compared to 579 in Monroe.
- Residents in Monroe have a higher median age of 38.0 years compared to 33.8 years in Cleveland.
- Monroe has a higher median income of $58,000 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Monroe at 50.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 12% in Monroe.
- Cleveland has a higher unemployment rate at 5.6% compared to 4.5% in Monroe.
Demographics
Demographics Monroe vs Cleveland provide insight into the diversity of the communities to compare.
Demographic | Monroe | Cleveland |
---|---|---|
Black | 2 | 56 |
White | 98 | 36 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 1 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Monroe vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 2% in Monroe.
- Monroe has a higher percentage of White residents at 98% compared to 36% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 0% in Monroe.
- Cleveland has a higher percentage of Hispanic residents at 1%, compared to 0% in Monroe.
- The percentage of residents identifying as two or more races is higher in Cleveland at 5%, compared to 0% in Monroe.
- The percentage of American Indian residents is the same in both Monroe and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Monroe | Cleveland |
---|---|---|
Mental Health Not Good | Data is updating% | 17.6% |
Physical Health Not Good | Data is updating% | 13.8% |
Depression | Data is updating% | 20.4% |
Smoking | Data is updating% | 21.0% |
Binge Drinking | Data is updating% | 12.7% |
Obesity | Data is updating% | 41.4% |
Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Monroe vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 0.0% in Monroe.
- Higher depression rates are seen in Cleveland at 20.4% versus 0.0% in Monroe.
- Cleveland has a higher smoking rate at 21.0% compared to 0.0% in Monroe.
- More residents engage in binge drinking in Cleveland at 12.7% compared to 0.0% in Monroe.
- Cleveland has higher obesity rates at 41.4% compared to 0.0% in Monroe.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 0.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Monroe | Cleveland |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (99) |
High School Diploma | 0.0% (Data is updating) | 10.0% (1,059) |
Less than High School | 0.0% (Data is updating) | 13.3% (1,404) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 21.3% (2,242) |
Education Levels Comparison: Monroe vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Monroe.
- In Cleveland, the rate of residents with high school diplomas is higher at 10.0% compared to 0.0% in Monroe.
- The percentage of residents with less than a high school education is higher in Cleveland at 13.3%, compared to 0.0% in Monroe.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 0.0% in Monroe.
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.