Demographics details for Franklin, IN vs Ontario, CA
Population Overview
Compare main population characteristics in Franklin, IN vs Ontario, CA.
| Data | Franklin | Ontario |
|---|---|---|
| Population | 25,728 | 184,705 |
| Median Age | 34.4 years | 34.3 years |
| Median Income | $72,344 | $67,659 |
| Married Families | 38.0% | 30.5% |
| Poverty Level | 9% | 14% |
| Unemployment Rate | 4.1 | 5.1 |
Population Comparison: Franklin vs Ontario
- The population in Ontario is higher at 184,705, compared to 25,728 in Franklin.
- Residents in Franklin have a higher median age of 34.4 years compared to 34.3 years in Ontario.
- Franklin has a higher median income of $72,344 compared to $67,659 in Ontario.
- A higher percentage of married families is found in Franklin at 38.0% compared to 30.5% in Ontario.
- The poverty level is higher in Ontario at 14%, compared to 9% in Franklin.
- Ontario has a higher unemployment rate at 5.1% compared to 4.1% in Franklin.
Demographics
Demographics Franklin vs Ontario provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Ontario |
|---|---|---|
| Black | 4 | 8.5 |
| White | 87 | 36.2 |
| Asian | 1 | 6.0 |
| Hispanic | 3 | 44.5 |
| Two or More Races | 5 | 4.8 |
| American Indian | Data is updating | 0.5 |
Demographics Comparison: Franklin vs Ontario
- In Ontario, the percentage of Black residents is higher at 8.5% compared to 4% in Franklin.
- Franklin has a higher percentage of White residents at 87% compared to 36.2% in Ontario.
- In Ontario, the Asian population stands at 6.0%, greater than 1% in Franklin.
- Ontario has a higher percentage of Hispanic residents at 44.5%, compared to 3% in Franklin.
- More residents identify as two or more races in Franklin at 5% compared to 4.8% in Ontario.
- In Ontario, the percentage of American Indian residents is higher at 0.5%, compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Ontario |
|---|---|---|
| Mental Health Not Good | 17.7% | Data is updating% |
| Physical Health Not Good | 11.4% | Data is updating% |
| Depression | 28.9% | Data is updating% |
| Smoking | 19.2% | Data is updating% |
| Binge Drinking | 16.9% | Data is updating% |
| Obesity | 41.6% | Data is updating% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Franklin vs Ontario
- More residents in Franklin report poor mental health at 17.7% compared to 0.0% in Ontario.
- Depression is more prevalent in Franklin at 28.9% compared to 0.0% in Ontario.
- Smoking is more prevalent in Franklin at 19.2% compared to 0.0% in Ontario.
- Binge drinking is more common in Franklin at 16.9% compared to 0.0% in Ontario.
- Obesity rates are higher in Franklin at 41.6% compared to 0.0% in Ontario.
- Disability percentages are higher in Franklin 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 | Franklin | Ontario |
|---|---|---|
| No Schooling | 0.6% (148) | 0.0% (Data is updating) |
| High School Diploma | 19.1% (4,910) | 0.0% (Data is updating) |
| Less than High School | 8.9% (2,296) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.4% (3,460) | 0.0% (Data is updating) |
Education Levels Comparison: Franklin vs Ontario
- A higher percentage of residents in Franklin have no formal schooling at 0.6% compared to 0.0% in Ontario.
- A higher percentage of residents in Franklin hold a high school diploma at 19.1% compared to 0.0% in Ontario.
- More residents in Franklin have less than a high school education at 8.9% compared to 0.0% in Ontario.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 13.4% 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.