Demographics details for Ontario, NY vs Christiansburg, OH
Population Overview
Compare main population characteristics in Ontario, NY vs Christiansburg, OH.
| Data | Ontario | Christiansburg |
|---|---|---|
| Population | 112,707 | 501 |
| Median Age | 43.8 years | 34.5 years |
| Median Income | $76,603 | $72,375 |
| Married Families | 42.0% | 38.0% |
| Poverty Level | 6% | 8% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Ontario vs Christiansburg
- In Ontario, the population is higher at 112,707, compared to 501 in Christiansburg.
- Residents in Ontario have a higher median age of 43.8 years compared to 34.5 years in Christiansburg.
- Ontario has a higher median income of $76,603 compared to $72,375 in Christiansburg.
- A higher percentage of married families is found in Ontario at 42.0% compared to 38.0% in Christiansburg.
- The poverty level is higher in Christiansburg at 8%, compared to 6% in Ontario.
- Christiansburg has a higher unemployment rate at 4.5% compared to 3.2% in Ontario.
Demographics
Demographics Ontario vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Ontario | Christiansburg |
|---|---|---|
| Black | 2 | 1 |
| White | 88 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ontario vs Christiansburg
- A higher percentage of Black residents are in Ontario at 2% compared to 1% in Christiansburg.
- The percentage of White residents is higher in Christiansburg at 95% compared to 88% in Ontario.
- The Asian population is larger in Ontario at 1% compared to 0% in Christiansburg.
- The Hispanic community is larger in Ontario at 5% compared to 0% in Christiansburg.
- Both Ontario and Christiansburg have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Ontario and Christiansburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ontario | Christiansburg |
|---|---|---|
| Mental Health Not Good | 15.5% | 17.6% |
| Physical Health Not Good | 9.9% | 11.7% |
| Depression | 26.2% | 24.5% |
| Smoking | 16.5% | 21.0% |
| Binge Drinking | 19.8% | 18.8% |
| Obesity | 36.2% | 39.9% |
| Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Ontario vs Christiansburg
- In Christiansburg, a higher percentage report poor mental health at 17.6% compared to 15.5% in Ontario.
- Depression is more prevalent in Ontario at 26.2% compared to 24.5% in Christiansburg.
- Christiansburg has a higher smoking rate at 21.0% compared to 16.5% in Ontario.
- Binge drinking is more common in Ontario at 19.8% compared to 18.8% in Christiansburg.
- Christiansburg has higher obesity rates at 39.9% compared to 36.2% in Ontario.
- There is a higher percentage of disabled individuals in Christiansburg at 18.0% compared to 13.0% in Ontario.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ontario | Christiansburg |
|---|---|---|
| No Schooling | 1.0% (1,163) | 0.4% (2) |
| High School Diploma | 15.2% (17,124) | 29.7% (149) |
| Less than High School | 9.1% (10,230) | 11.6% (58) |
| Bachelor's Degree and Higher | 26.4% (29,794) | 7.8% (39) |
Education Levels Comparison: Ontario vs Christiansburg
- A higher percentage of residents in Ontario have no formal schooling at 1.0% compared to 0.4% in Christiansburg.
- In Christiansburg, the rate of residents with high school diplomas is higher at 29.7% compared to 15.2% in Ontario.
- The percentage of residents with less than a high school education is higher in Christiansburg at 11.6%, compared to 9.1% in Ontario.
- A higher percentage of residents in Ontario hold a bachelor's degree or higher at 26.4% compared to 7.8% in Christiansburg.
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.