Demographics details for Wichita, KS vs Cleveland, MS
Population Overview
Compare main population characteristics in Wichita, KS vs Cleveland, MS.
| Data | Wichita | Cleveland |
|---|---|---|
| Population | 396,192 | 10,545 |
| Median Age | 35.4 years | 33.8 years |
| Median Income | $60,712 | $42,005 |
| Married Families | 36.0% | 27.0% |
| Poverty Level | 13% | 24% |
| Unemployment Rate | 4.1 | 5.6 |
Population Comparison: Wichita vs Cleveland
- In Wichita, the population is higher at 396,192, compared to 10,545 in Cleveland.
- Residents in Wichita have a higher median age of 35.4 years compared to 33.8 years in Cleveland.
- Wichita has a higher median income of $60,712 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Wichita at 36.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 13% in Wichita.
- Cleveland has a higher unemployment rate at 5.6% compared to 4.1% in Wichita.
Demographics
Demographics Wichita vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Wichita | Cleveland |
|---|---|---|
| Black | 10 | 56 |
| White | 56 | 36 |
| Asian | 5 | 2 |
| Hispanic | 18 | 1 |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Wichita vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 10% in Wichita.
- Wichita has a higher percentage of White residents at 56% compared to 36% in Cleveland.
- The Asian population is larger in Wichita at 5% compared to 2% in Cleveland.
- The Hispanic community is larger in Wichita at 18% compared to 1% in Cleveland.
- More residents identify as two or more races in Wichita at 10% compared to 5% in Cleveland.
- A greater percentage of American Indian residents live in Wichita at 1% compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wichita | Cleveland |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.6% |
| Physical Health Not Good | 10.7% | 13.8% |
| Depression | 21.2% | 20.4% |
| Smoking | 20.0% | 21.0% |
| Binge Drinking | 16.6% | 12.7% |
| Obesity | 40.4% | 41.4% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Wichita vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 17.1% in Wichita.
- Depression is more prevalent in Wichita at 21.2% compared to 20.4% in Cleveland.
- Cleveland has a higher smoking rate at 21.0% compared to 20.0% in Wichita.
- Binge drinking is more common in Wichita at 16.6% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 40.4% in Wichita.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 15.0% in Wichita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wichita | Cleveland |
|---|---|---|
| No Schooling | 1.6% (6,509) | 0.9% (99) |
| High School Diploma | 13.5% (53,581) | 10.0% (1,059) |
| Less than High School | 13.8% (54,534) | 13.3% (1,404) |
| Bachelor's Degree and Higher | 20.3% (80,251) | 21.3% (2,242) |
Education Levels Comparison: Wichita vs Cleveland
- A higher percentage of residents in Wichita have no formal schooling at 1.6% compared to 0.9% in Cleveland.
- A higher percentage of residents in Wichita hold a high school diploma at 13.5% compared to 10.0% in Cleveland.
- More residents in Wichita have less than a high school education at 13.8% 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 20.3% in Wichita.
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.