Demographics details for Sublette, KS vs Ontario, CA
Population Overview
Compare main population characteristics in Sublette, KS vs Ontario, CA.
| Data | Sublette | Ontario |
|---|---|---|
| Population | 1,333 | 184,705 |
| Median Age | 37.6 years | 34.3 years |
| Median Income | $66,354 | $67,659 |
| Married Families | 55.0% | 30.5% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Sublette vs Ontario
- The population in Ontario is higher at 184,705, compared to 1,333 in Sublette.
- Residents in Sublette have a higher median age of 37.6 years compared to 34.3 years in Ontario.
- Ontario has a higher median income of $67,659, compared to $66,354 in Sublette.
- A higher percentage of married families is found in Sublette at 55.0% compared to 30.5% in Ontario.
- The poverty level is higher in Ontario at 14%, compared to 10% in Sublette.
- Ontario has a higher unemployment rate at 5.1% compared to 3.5% in Sublette.
Demographics
Demographics Sublette vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Sublette | Ontario |
|---|---|---|
| Black | Data is updating | 8.5 |
| White | 47 | 36.2 |
| Asian | Data is updating | 6.0 |
| Hispanic | 36 | 44.5 |
| Two or More Races | 14 | 4.8 |
| American Indian | 3 | 0.5 |
Demographics Comparison: Sublette vs Ontario
- In Ontario, the percentage of Black residents is higher at 8.5% compared to 0% in Sublette.
- Sublette has a higher percentage of White residents at 47% compared to 36.2% in Ontario.
- In Ontario, the Asian population stands at 6.0%, greater than 0% in Sublette.
- Ontario has a higher percentage of Hispanic residents at 44.5%, compared to 36% in Sublette.
- More residents identify as two or more races in Sublette at 14% compared to 4.8% in Ontario.
- A greater percentage of American Indian residents live in Sublette at 3% compared to 0.5% in Ontario.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sublette | Ontario |
|---|---|---|
| Mental Health Not Good | 17.0% | Data is updating% |
| Physical Health Not Good | 12.2% | Data is updating% |
| Depression | 21.8% | Data is updating% |
| Smoking | 20.2% | Data is updating% |
| Binge Drinking | 17.8% | Data is updating% |
| Obesity | 40.6% | Data is updating% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Sublette vs Ontario
- More residents in Sublette report poor mental health at 17.0% compared to 0.0% in Ontario.
- Depression is more prevalent in Sublette at 21.8% compared to 0.0% in Ontario.
- Smoking is more prevalent in Sublette at 20.2% compared to 0.0% in Ontario.
- Binge drinking is more common in Sublette at 17.8% compared to 0.0% in Ontario.
- Obesity rates are higher in Sublette at 40.6% compared to 0.0% in Ontario.
- Disability percentages are higher in Sublette at 12.0% compared to 0.0% in Ontario.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sublette | Ontario |
|---|---|---|
| No Schooling | 3.5% (47) | 0.0% (Data is updating) |
| High School Diploma | 16.3% (217) | 0.0% (Data is updating) |
| Less than High School | 25.7% (343) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 11.3% (150) | 0.0% (Data is updating) |
Education Levels Comparison: Sublette vs Ontario
- A higher percentage of residents in Sublette have no formal schooling at 3.5% compared to 0.0% in Ontario.
- A higher percentage of residents in Sublette hold a high school diploma at 16.3% compared to 0.0% in Ontario.
- More residents in Sublette have less than a high school education at 25.7% compared to 0.0% in Ontario.
- A higher percentage of residents in Sublette hold a bachelor's degree or higher at 11.3% compared to 0.0% in Ontario.
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.