Demographics details for Washington, KS vs Franklin, IN
Population Overview
Compare main population characteristics in Washington, KS vs Franklin, IN.
| Data | Washington | Franklin |
|---|---|---|
| Population | 5,501 | 25,728 |
| Median Age | 44.9 years | 34.4 years |
| Median Income | $59,432 | $72,344 |
| Married Families | 46.0% | 38.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.0 | 4.1 |
Population Comparison: Washington vs Franklin
- The population in Franklin is higher at 25,728, compared to 5,501 in Washington.
- Residents in Washington have a higher median age of 44.9 years compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344, compared to $59,432 in Washington.
- A higher percentage of married families is found in Washington at 46.0% compared to 38.0% in Franklin.
- Washington has a higher poverty level at 12% compared to 9% in Franklin.
- Franklin has a higher unemployment rate at 4.1% compared to 3.0% in Washington.
Demographics
Demographics Washington vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Washington | Franklin |
|---|---|---|
| Black | Data is updating | 4 |
| White | 93 | 87 |
| Asian | 1 | 1 |
| Hispanic | 4 | 3 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 93% compared to 87% in Franklin.
- Both Washington and Franklin have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Washington at 4% compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Franklin at 5%, compared to 2% in Washington.
- The percentage of American Indian residents is the same in both Washington and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Franklin |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.7% |
| Physical Health Not Good | 10.1% | 11.4% |
| Depression | 20.9% | 28.9% |
| Smoking | 18.8% | 19.2% |
| Binge Drinking | 20.4% | 16.9% |
| Obesity | 42.1% | 41.6% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Washington vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 15.8% in Washington.
- Higher depression rates are seen in Franklin at 28.9% versus 20.9% in Washington.
- Franklin has a higher smoking rate at 19.2% compared to 18.8% in Washington.
- Binge drinking is more common in Washington at 20.4% compared to 16.9% in Franklin.
- Obesity rates are higher in Washington at 42.1% compared to 41.6% in Franklin.
- Disability percentages are higher in Washington at 14.0% compared to 12.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Franklin |
|---|---|---|
| No Schooling | 0.8% (45) | 0.6% (148) |
| High School Diploma | 24.9% (1,368) | 19.1% (4,910) |
| Less than High School | 9.0% (494) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 15.8% (869) | 13.4% (3,460) |
Education Levels Comparison: Washington vs Franklin
- A higher percentage of residents in Washington have no formal schooling at 0.8% compared to 0.6% in Franklin.
- A higher percentage of residents in Washington hold a high school diploma at 24.9% compared to 19.1% in Franklin.
- More residents in Washington have less than a high school education at 9.0% compared to 8.9% in Franklin.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 15.8% compared to 13.4% in Franklin.
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.