Demographics details for Franklin, NE vs Chetopa, KS
Population Overview
Compare main population characteristics in Franklin, NE vs Chetopa, KS.
| Data | Franklin | Chetopa |
|---|---|---|
| Population | 2,873 | 916 |
| Median Age | 49.8 years | 51.2 years |
| Median Income | $55,625 | $23,750 |
| Married Families | 51.0% | 44.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Franklin vs Chetopa
- In Franklin, the population is higher at 2,873, compared to 916 in Chetopa.
- The median age in Chetopa is higher at 51.2 years, compared to 49.8 years in Franklin.
- Franklin has a higher median income of $55,625 compared to $23,750 in Chetopa.
- A higher percentage of married families is found in Franklin at 51.0% compared to 44.0% in Chetopa.
- The poverty level is higher in Chetopa at 11%, compared to 0% in Franklin.
- The unemployment rate in Franklin is higher at 3.2%, compared to 3.1% in Chetopa.
Demographics
Demographics Franklin vs Chetopa provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Chetopa |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 94 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 4 |
| Two or More Races | 2 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Franklin vs Chetopa
- The percentage of Black residents is the same in both Franklin and Chetopa at 0%.
- Franklin has a higher percentage of White residents at 94% compared to 92% in Chetopa.
- Both Franklin and Chetopa have the same percentage of Asian residents at 0%.
- Chetopa has a higher percentage of Hispanic residents at 4%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Chetopa at 3%, compared to 2% in Franklin.
- The percentage of American Indian residents is the same in both Franklin and Chetopa at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Chetopa |
|---|---|---|
| Mental Health Not Good | 15.4% | 19.5% |
| Physical Health Not Good | 10.8% | 13.6% |
| Depression | 18.5% | 23.4% |
| Smoking | 19.6% | 24.7% |
| Binge Drinking | 20.2% | 17.6% |
| Obesity | 43.8% | 45.6% |
| Disability Percentage | 18.0% | 43.0% |
Health Statistics Comparison: Franklin vs Chetopa
- In Chetopa, a higher percentage report poor mental health at 19.5% compared to 15.4% in Franklin.
- Higher depression rates are seen in Chetopa at 23.4% versus 18.5% in Franklin.
- Chetopa has a higher smoking rate at 24.7% compared to 19.6% in Franklin.
- Binge drinking is more common in Franklin at 20.2% compared to 17.6% in Chetopa.
- Chetopa has higher obesity rates at 45.6% compared to 43.8% in Franklin.
- There is a higher percentage of disabled individuals in Chetopa at 43.0% compared to 18.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Chetopa |
|---|---|---|
| No Schooling | 0.2% (6) | 0.4% (4) |
| High School Diploma | 21.8% (627) | 30.1% (276) |
| Less than High School | 10.1% (289) | 19.0% (174) |
| Bachelor's Degree and Higher | 14.5% (416) | 10.8% (99) |
Education Levels Comparison: Franklin vs Chetopa
- In Chetopa, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Franklin.
- In Chetopa, the rate of residents with high school diplomas is higher at 30.1% compared to 21.8% in Franklin.
- The percentage of residents with less than a high school education is higher in Chetopa at 19.0%, compared to 10.1% in Franklin.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 14.5% compared to 10.8% in Chetopa.
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.