Demographics details for Chanute, KS vs Oceanside, CA
Population Overview
Compare main population characteristics in Chanute, KS vs Oceanside, CA.
| Data | Chanute | Oceanside |
|---|---|---|
| Population | 8,568 | 172,199 |
| Median Age | 38.0 years | 37.5 years |
| Median Income | $52,608 | $86,701 |
| Married Families | 32.0% | 41.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.5 | 4.6 |
Population Comparison: Chanute vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 8,568 in Chanute.
- Residents in Chanute have a higher median age of 38.0 years compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701, compared to $52,608 in Chanute.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 32.0% in Chanute.
- Chanute has a higher poverty level at 12% compared to 9% in Oceanside.
- Oceanside has a higher unemployment rate at 4.6% compared to 3.5% in Chanute.
Demographics
Demographics Chanute vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Chanute | Oceanside |
|---|---|---|
| Black | 1 | 4 |
| White | 87 | 31 |
| Asian | Data is updating | 7 |
| Hispanic | 8 | 38 |
| Two or More Races | 4 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Chanute vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 4% compared to 1% in Chanute.
- Chanute has a higher percentage of White residents at 87% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 0% in Chanute.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 8% in Chanute.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 4% in Chanute.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Chanute.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chanute | Oceanside |
|---|---|---|
| Mental Health Not Good | 18.4% | 16.2% |
| Physical Health Not Good | 12.3% | 10.9% |
| Depression | 23.2% | 17.9% |
| Smoking | 21.9% | 11.7% |
| Binge Drinking | 18.5% | 18.9% |
| Obesity | 41.9% | 25.0% |
| Disability Percentage | 23.0% | 12.0% |
Health Statistics Comparison: Chanute vs Oceanside
- More residents in Chanute report poor mental health at 18.4% compared to 16.2% in Oceanside.
- Depression is more prevalent in Chanute at 23.2% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Chanute at 21.9% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 18.5% in Chanute.
- Obesity rates are higher in Chanute at 41.9% compared to 25.0% in Oceanside.
- Disability percentages are higher in Chanute at 23.0% compared to 12.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chanute | Oceanside |
|---|---|---|
| No Schooling | 0.3% (23) | 1.7% (2,927) |
| High School Diploma | 17.6% (1,506) | 12.0% (20,662) |
| Less than High School | 13.0% (1,113) | 17.7% (30,528) |
| Bachelor's Degree and Higher | 11.8% (1,012) | 23.5% (40,490) |
Education Levels Comparison: Chanute vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.3% in Chanute.
- A higher percentage of residents in Chanute hold a high school diploma at 17.6% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 13.0% in Chanute.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 11.8% in Chanute.
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.