Demographics details for Isabella, OK vs Franklin, WI
Population Overview
Compare main population characteristics in Isabella, OK vs Franklin, WI.
| Data | Isabella | Franklin |
|---|---|---|
| Population | 86 | 36,066 |
| Median Age | 28.6 years | 44.3 years |
| Median Income | $56,550 | $100,524 |
| Married Families | 42.0% | 50.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Isabella vs Franklin
- The population in Franklin is higher at 36,066, compared to 86 in Isabella.
- The median age in Franklin is higher at 44.3 years, compared to 28.6 years in Isabella.
- Franklin has a higher median income of $100,524, compared to $56,550 in Isabella.
- In Franklin, the percentage of married families is higher at 50.0%, compared to 42.0% in Isabella.
- Isabella has a higher poverty level at 10% compared to 5% in Franklin.
- Franklin has a higher unemployment rate at 3.2% compared to 2.5% in Isabella.
Demographics
Demographics Isabella vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Isabella | Franklin |
|---|---|---|
| Black | Data is updating | 4 |
| White | 86 | 80 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 6 |
| Two or More Races | Data is updating | 4 |
| American Indian | 14 | Data is updating |
Demographics Comparison: Isabella vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 0% in Isabella.
- Isabella has a higher percentage of White residents at 86% compared to 80% in Franklin.
- In Franklin, the Asian population stands at 6%, greater than 0% in Isabella.
- Franklin has a higher percentage of Hispanic residents at 6%, compared to 0% in Isabella.
- The percentage of residents identifying as two or more races is higher in Franklin at 4%, compared to 0% in Isabella.
- A greater percentage of American Indian residents live in Isabella at 14% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Isabella | Franklin |
|---|---|---|
| Mental Health Not Good | 17.1% | 13.4% |
| Physical Health Not Good | 11.9% | 7.9% |
| Depression | 23.6% | 21.9% |
| Smoking | 19.0% | 12.8% |
| Binge Drinking | 16.1% | 27.0% |
| Obesity | 42.6% | 30.9% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Isabella vs Franklin
- More residents in Isabella report poor mental health at 17.1% compared to 13.4% in Franklin.
- Depression is more prevalent in Isabella at 23.6% compared to 21.9% in Franklin.
- Smoking is more prevalent in Isabella at 19.0% compared to 12.8% in Franklin.
- More residents engage in binge drinking in Franklin at 27.0% compared to 16.1% in Isabella.
- Obesity rates are higher in Isabella at 42.6% compared to 30.9% in Franklin.
- There is a higher percentage of disabled individuals in Franklin at 8.0% compared to 0.0% in Isabella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Isabella | Franklin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (98) |
| High School Diploma | 44.2% (38) | 15.5% (5,595) |
| Less than High School | 0.0% (Data is updating) | 6.8% (2,462) |
| Bachelor's Degree and Higher | 16.3% (14) | 31.8% (11,484) |
Education Levels Comparison: Isabella vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Isabella.
- A higher percentage of residents in Isabella hold a high school diploma at 44.2% compared to 15.5% in Franklin.
- The percentage of residents with less than a high school education is higher in Franklin at 6.8%, compared to 0.0% in Isabella.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 16.3% in Isabella.
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.