Demographics details for Villa ridge, MO vs Chetopa, KS
Population Overview
Compare main population characteristics in Villa ridge, MO vs Chetopa, KS.
| Data | Villa ridge | Chetopa |
|---|---|---|
| Population | 2,971 | 916 |
| Median Age | 35.0 years | 51.2 years |
| Median Income | $71,750 | $23,750 |
| Married Families | 37.0% | 44.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 2.5 | 3.1 |
Population Comparison: Villa ridge vs Chetopa
- In Villa ridge, the population is higher at 2,971, compared to 916 in Chetopa.
- The median age in Chetopa is higher at 51.2 years, compared to 35.0 years in Villa ridge.
- Villa ridge has a higher median income of $71,750 compared to $23,750 in Chetopa.
- In Chetopa, the percentage of married families is higher at 44.0%, compared to 37.0% in Villa ridge.
- The poverty level is higher in Chetopa at 11%, compared to 8% in Villa ridge.
- Chetopa has a higher unemployment rate at 3.1% compared to 2.5% in Villa ridge.
Demographics
Demographics Villa ridge vs Chetopa provide insight into the diversity of the communities to compare.
| Demographic | Villa ridge | Chetopa |
|---|---|---|
| Black | 1 | Data is updating |
| White | 92 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Villa ridge vs Chetopa
- A higher percentage of Black residents are in Villa ridge at 1% compared to 0% in Chetopa.
- The percentage of White residents is the same in both Villa ridge and Chetopa at 92%.
- Both Villa ridge and Chetopa have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Villa ridge and Chetopa at 4%.
- Both Villa ridge and Chetopa have the same percentage of residents identifying as two or more races at 3%.
- In Chetopa, the percentage of American Indian residents is higher at 1%, compared to 0% in Villa ridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Villa ridge | Chetopa |
|---|---|---|
| Mental Health Not Good | 16.3% | 19.5% |
| Physical Health Not Good | 10.5% | 13.6% |
| Depression | 24.2% | 23.4% |
| Smoking | 17.2% | 24.7% |
| Binge Drinking | 19.7% | 17.6% |
| Obesity | 36.2% | 45.6% |
| Disability Percentage | 13.0% | 43.0% |
Health Statistics Comparison: Villa ridge vs Chetopa
- In Chetopa, a higher percentage report poor mental health at 19.5% compared to 16.3% in Villa ridge.
- Depression is more prevalent in Villa ridge at 24.2% compared to 23.4% in Chetopa.
- Chetopa has a higher smoking rate at 24.7% compared to 17.2% in Villa ridge.
- Binge drinking is more common in Villa ridge at 19.7% compared to 17.6% in Chetopa.
- Chetopa has higher obesity rates at 45.6% compared to 36.2% in Villa ridge.
- There is a higher percentage of disabled individuals in Chetopa at 43.0% compared to 13.0% in Villa ridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Villa ridge | Chetopa |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (4) |
| High School Diploma | 18.6% (554) | 30.1% (276) |
| Less than High School | 8.8% (261) | 19.0% (174) |
| Bachelor's Degree and Higher | 10.6% (316) | 10.8% (99) |
Education Levels Comparison: Villa ridge vs Chetopa
- In Chetopa, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Villa ridge.
- In Chetopa, the rate of residents with high school diplomas is higher at 30.1% compared to 18.6% in Villa ridge.
- The percentage of residents with less than a high school education is higher in Chetopa at 19.0%, compared to 8.8% in Villa ridge.
- In Chetopa, a larger share of residents have a bachelor's degree or higher at 10.8% compared to 10.6% in Villa ridge.
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.