Demographics details for Chetopa, KS vs Kissimmee, FL
Population Overview
Compare main population characteristics in Chetopa, KS vs Kissimmee, FL.
| Data | Chetopa | Kissimmee |
|---|---|---|
| Population | 916 | 80,003 |
| Median Age | 51.2 years | 35.7 years |
| Median Income | $23,750 | $45,319 |
| Married Families | 44.0% | 31.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 3.1 | 3.8 |
Population Comparison: Chetopa vs Kissimmee
- The population in Kissimmee is higher at 80,003, compared to 916 in Chetopa.
- Residents in Chetopa have a higher median age of 51.2 years compared to 35.7 years in Kissimmee.
- Kissimmee has a higher median income of $45,319, compared to $23,750 in Chetopa.
- A higher percentage of married families is found in Chetopa at 44.0% compared to 31.0% in Kissimmee.
- The poverty level is higher in Kissimmee at 13%, compared to 11% in Chetopa.
- Kissimmee has a higher unemployment rate at 3.8% compared to 3.1% in Chetopa.
Demographics
Demographics Chetopa vs Kissimmee provide insight into the diversity of the communities to compare.
| Demographic | Chetopa | Kissimmee |
|---|---|---|
| Black | Data is updating | 10 |
| White | 92 | Data is updating |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 69 |
| Two or More Races | 3 | 18 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chetopa vs Kissimmee
- In Kissimmee, the percentage of Black residents is higher at 10% compared to 0% in Chetopa.
- Chetopa has a higher percentage of White residents at 92% compared to 0% in Kissimmee.
- In Kissimmee, the Asian population stands at 3%, greater than 0% in Chetopa.
- Kissimmee has a higher percentage of Hispanic residents at 69%, compared to 4% in Chetopa.
- The percentage of residents identifying as two or more races is higher in Kissimmee at 18%, compared to 3% in Chetopa.
- A greater percentage of American Indian residents live in Chetopa at 1% compared to 0% in Kissimmee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chetopa | Kissimmee |
|---|---|---|
| Mental Health Not Good | 19.5% | 16.3% |
| Physical Health Not Good | 13.6% | 13.7% |
| Depression | 23.4% | 18.5% |
| Smoking | 24.7% | 19.9% |
| Binge Drinking | 17.6% | 14.2% |
| Obesity | 45.6% | 37.7% |
| Disability Percentage | 43.0% | 15.0% |
Health Statistics Comparison: Chetopa vs Kissimmee
- More residents in Chetopa report poor mental health at 19.5% compared to 16.3% in Kissimmee.
- Depression is more prevalent in Chetopa at 23.4% compared to 18.5% in Kissimmee.
- Smoking is more prevalent in Chetopa at 24.7% compared to 19.9% in Kissimmee.
- Binge drinking is more common in Chetopa at 17.6% compared to 14.2% in Kissimmee.
- Obesity rates are higher in Chetopa at 45.6% compared to 37.7% in Kissimmee.
- Disability percentages are higher in Chetopa at 43.0% compared to 15.0% in Kissimmee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chetopa | Kissimmee |
|---|---|---|
| No Schooling | 0.4% (4) | 1.7% (1,327) |
| High School Diploma | 30.1% (276) | 16.7% (13,387) |
| Less than High School | 19.0% (174) | 19.4% (15,558) |
| Bachelor's Degree and Higher | 10.8% (99) | 15.6% (12,446) |
Education Levels Comparison: Chetopa vs Kissimmee
- In Kissimmee, a larger percentage of residents lack formal schooling at 1.7% compared to 0.4% in Chetopa.
- A higher percentage of residents in Chetopa hold a high school diploma at 30.1% compared to 16.7% in Kissimmee.
- The percentage of residents with less than a high school education is higher in Kissimmee at 19.4%, compared to 19.0% in Chetopa.
- In Kissimmee, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 10.8% in Chetopa.
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.