Demographics details for Rising city, NE vs Cleveland, MS
Population Overview
Compare main population characteristics in Rising city, NE vs Cleveland, MS.
Data | Rising city | Cleveland |
---|---|---|
Population | 354 | 10,545 |
Median Age | 44.3 years | 33.8 years |
Median Income | $81,477 | $42,005 |
Married Families | 45.0% | 27.0% |
Poverty Level | 9% | 24% |
Unemployment Rate | 2.7 | 5.6 |
Population Comparison: Rising city vs Cleveland
- The population in Cleveland is higher at 10,545, compared to 354 in Rising city.
- Residents in Rising city have a higher median age of 44.3 years compared to 33.8 years in Cleveland.
- Rising city has a higher median income of $81,477 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Rising city at 45.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 9% in Rising city.
- Cleveland has a higher unemployment rate at 5.6% compared to 2.7% in Rising city.
Demographics
Demographics Rising city vs Cleveland provide insight into the diversity of the communities to compare.
Demographic | Rising city | Cleveland |
---|---|---|
Black | Data is updating | 56 |
White | 98 | 36 |
Asian | Data is updating | 2 |
Hispanic | 2 | 1 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Rising city vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 0% in Rising city.
- Rising city 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 Rising city.
- The Hispanic community is larger in Rising city at 2% compared to 1% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Cleveland at 5%, compared to 0% in Rising city.
- The percentage of American Indian residents is the same in both Rising city and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rising city | Cleveland |
---|---|---|
Mental Health Not Good | 13.5% | 17.6% |
Physical Health Not Good | 9.2% | 13.8% |
Depression | 16.0% | 20.4% |
Smoking | 16.3% | 21.0% |
Binge Drinking | 23.1% | 12.7% |
Obesity | 40.3% | 41.4% |
Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Rising city vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 13.5% in Rising city.
- Higher depression rates are seen in Cleveland at 20.4% versus 16.0% in Rising city.
- Cleveland has a higher smoking rate at 21.0% compared to 16.3% in Rising city.
- Binge drinking is more common in Rising city at 23.1% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 40.3% in Rising city.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 13.0% in Rising city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Rising city | Cleveland |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.9% (99) |
High School Diploma | 19.8% (70) | 10.0% (1,059) |
Less than High School | 9.6% (34) | 13.3% (1,404) |
Bachelor's Degree and Higher | 7.6% (27) | 21.3% (2,242) |
Education Levels Comparison: Rising city vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Rising city.
- A higher percentage of residents in Rising city hold a high school diploma at 19.8% 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 9.6% in Rising city.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 7.6% in Rising city.
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.