Demographics details for Cleveland, MS vs Stockholm, WI
Population Overview
Compare main population characteristics in Cleveland, MS vs Stockholm, WI.
Data | Cleveland | Stockholm |
---|---|---|
Population | 10,545 | 82 |
Median Age | 33.8 years | 69.8 years |
Median Income | $42,005 | $62,500 |
Married Families | 27.0% | 84.0% |
Poverty Level | 24% | Data is updating |
Unemployment Rate | 5.6 | 2.5 |
Population Comparison: Cleveland vs Stockholm
- In Cleveland, the population is higher at 10,545, compared to 82 in Stockholm.
- The median age in Stockholm is higher at 69.8 years, compared to 33.8 years in Cleveland.
- Stockholm has a higher median income of $62,500, compared to $42,005 in Cleveland.
- In Stockholm, the percentage of married families is higher at 84.0%, compared to 27.0% in Cleveland.
- Cleveland has a higher poverty level at 24% compared to 0% in Stockholm.
- The unemployment rate in Cleveland is higher at 5.6%, compared to 2.5% in Stockholm.
Demographics
Demographics Cleveland vs Stockholm provide insight into the diversity of the communities to compare.
Demographic | Cleveland | Stockholm |
---|---|---|
Black | 56 | Data is updating |
White | 36 | 100 |
Asian | 2 | Data is updating |
Hispanic | 1 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cleveland vs Stockholm
- A higher percentage of Black residents are in Cleveland at 56% compared to 0% in Stockholm.
- The percentage of White residents is higher in Stockholm at 100% compared to 36% in Cleveland.
- The Asian population is larger in Cleveland at 2% compared to 0% in Stockholm.
- The Hispanic community is larger in Cleveland at 1% compared to 0% in Stockholm.
- More residents identify as two or more races in Cleveland at 5% compared to 0% in Stockholm.
- The percentage of American Indian residents is the same in both Cleveland and Stockholm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | Stockholm |
---|---|---|
Mental Health Not Good | 17.6% | 11.8% |
Physical Health Not Good | 13.8% | 12.6% |
Depression | 20.4% | 20.6% |
Smoking | 21.0% | 16.4% |
Binge Drinking | 12.7% | 19.3% |
Obesity | 41.4% | 38.6% |
Disability Percentage | 20.0% | 26.0% |
Health Statistics Comparison: Cleveland vs Stockholm
- More residents in Cleveland report poor mental health at 17.6% compared to 11.8% in Stockholm.
- Higher depression rates are seen in Stockholm at 20.6% versus 20.4% in Cleveland.
- Smoking is more prevalent in Cleveland at 21.0% compared to 16.4% in Stockholm.
- More residents engage in binge drinking in Stockholm at 19.3% compared to 12.7% in Cleveland.
- Obesity rates are higher in Cleveland at 41.4% compared to 38.6% in Stockholm.
- There is a higher percentage of disabled individuals in Stockholm at 26.0% compared to 20.0% in Cleveland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | Stockholm |
---|---|---|
No Schooling | 0.9% (99) | 0.0% (Data is updating) |
High School Diploma | 10.0% (1,059) | 28.0% (23) |
Less than High School | 13.3% (1,404) | 2.4% (2) |
Bachelor's Degree and Higher | 21.3% (2,242) | 64.6% (53) |
Education Levels Comparison: Cleveland vs Stockholm
- A higher percentage of residents in Cleveland have no formal schooling at 0.9% compared to 0.0% in Stockholm.
- In Stockholm, the rate of residents with high school diplomas is higher at 28.0% compared to 10.0% in Cleveland.
- More residents in Cleveland have less than a high school education at 13.3% compared to 2.4% in Stockholm.
- In Stockholm, a larger share of residents have a bachelor's degree or higher at 64.6% 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.