Demographics details for Franklin, TX vs Keizer, OR
Population Overview
Compare main population characteristics in Franklin, TX vs Keizer, OR.
| Data | Franklin | Keizer |
|---|---|---|
| Population | 10,618 | 38,704 |
| Median Age | 42.9 years | 35.8 years |
| Median Income | $67,915 | $75,753 |
| Married Families | 42.0% | 38.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.6 | 3.6 |
Population Comparison: Franklin vs Keizer
- The population in Keizer is higher at 38,704, compared to 10,618 in Franklin.
- Residents in Franklin have a higher median age of 42.9 years compared to 35.8 years in Keizer.
- Keizer has a higher median income of $75,753, compared to $67,915 in Franklin.
- A higher percentage of married families is found in Franklin at 42.0% compared to 38.0% in Keizer.
- Franklin has a higher poverty level at 12% compared to 10% in Keizer.
- The unemployment rate in Franklin is higher at 4.6%, compared to 3.6% in Keizer.
Demographics
Demographics Franklin vs Keizer provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Keizer |
|---|---|---|
| Black | 4 | 1 |
| White | 69 | 58 |
| Asian | Data is updating | 1 |
| Hispanic | 15 | 25 |
| Two or More Races | 12 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Franklin vs Keizer
- A higher percentage of Black residents are in Franklin at 4% compared to 1% in Keizer.
- Franklin has a higher percentage of White residents at 69% compared to 58% in Keizer.
- In Keizer, the Asian population stands at 1%, greater than 0% in Franklin.
- Keizer has a higher percentage of Hispanic residents at 25%, compared to 15% in Franklin.
- The percentage of residents identifying as two or more races is higher in Keizer at 14%, compared to 12% in Franklin.
- In Keizer, the percentage of American Indian residents is higher at 1%, compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Keizer |
|---|---|---|
| Mental Health Not Good | 16.3% | 17.9% |
| Physical Health Not Good | 10.3% | 11.4% |
| Depression | 23.5% | 28.5% |
| Smoking | 14.8% | 15.4% |
| Binge Drinking | 19.8% | 16.5% |
| Obesity | 33.2% | 35.7% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Franklin vs Keizer
- In Keizer, a higher percentage report poor mental health at 17.9% compared to 16.3% in Franklin.
- Higher depression rates are seen in Keizer at 28.5% versus 23.5% in Franklin.
- Keizer has a higher smoking rate at 15.4% compared to 14.8% in Franklin.
- Binge drinking is more common in Franklin at 19.8% compared to 16.5% in Keizer.
- Keizer has higher obesity rates at 35.7% compared to 33.2% in Franklin.
- There is a higher percentage of disabled individuals in Keizer at 16.0% compared to 15.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Keizer |
|---|---|---|
| No Schooling | 0.5% (51) | 1.8% (685) |
| High School Diploma | 15.0% (1,588) | 12.7% (4,898) |
| Less than High School | 11.3% (1,197) | 13.9% (5,363) |
| Bachelor's Degree and Higher | 21.2% (2,251) | 17.1% (6,617) |
Education Levels Comparison: Franklin vs Keizer
- In Keizer, a larger percentage of residents lack formal schooling at 1.8% compared to 0.5% in Franklin.
- A higher percentage of residents in Franklin hold a high school diploma at 15.0% compared to 12.7% in Keizer.
- The percentage of residents with less than a high school education is higher in Keizer at 13.9%, compared to 11.3% in Franklin.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 21.2% compared to 17.1% in Keizer.
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.