Demographics details for Kelso, TN vs Joy, IL
Population Overview
Compare main population characteristics in Kelso, TN vs Joy, IL.
| Data | Kelso | Joy |
|---|---|---|
| Population | 185 | 362 |
| Median Age | 42.0 years | 38.8 years |
| Median Income | $60,000 | $65,625 |
| Married Families | 70.0% | 42.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.5 | 0.5 |
Population Comparison: Kelso vs Joy
- The population in Joy is higher at 362, compared to 185 in Kelso.
- Residents in Kelso have a higher median age of 42.0 years compared to 38.8 years in Joy.
- Joy has a higher median income of $65,625, compared to $60,000 in Kelso.
- A higher percentage of married families is found in Kelso at 70.0% compared to 42.0% in Joy.
- Kelso has a higher poverty level at 13% compared to 0% in Joy.
- The unemployment rate in Kelso is higher at 3.5%, compared to 0.5% in Joy.
Demographics
Demographics Kelso vs Joy provide insight into the diversity of the communities to compare.
| Demographic | Kelso | Joy |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 98 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 1 |
| Two or More Races | Data is updating | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kelso vs Joy
- The percentage of Black residents is the same in both Kelso and Joy at 0%.
- Kelso has a higher percentage of White residents at 100% compared to 98% in Joy.
- Both Kelso and Joy have the same percentage of Asian residents at 0%.
- Joy has a higher percentage of Hispanic residents at 1%, compared to 0% in Kelso.
- The percentage of residents identifying as two or more races is higher in Joy at 1%, compared to 0% in Kelso.
- The percentage of American Indian residents is the same in both Kelso and Joy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kelso | Joy |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.4% |
| Physical Health Not Good | Data is updating% | 12.3% |
| Depression | Data is updating% | 22.6% |
| Smoking | Data is updating% | 20.6% |
| Binge Drinking | Data is updating% | 18.1% |
| Obesity | Data is updating% | 37.6% |
| Disability Percentage | Data is updating% | 21.0% |
Health Statistics Comparison: Kelso vs Joy
- In Joy, a higher percentage report poor mental health at 17.4% compared to 0.0% in Kelso.
- Higher depression rates are seen in Joy at 22.6% versus 0.0% in Kelso.
- Joy has a higher smoking rate at 20.6% compared to 0.0% in Kelso.
- More residents engage in binge drinking in Joy at 18.1% compared to 0.0% in Kelso.
- Joy has higher obesity rates at 37.6% compared to 0.0% in Kelso.
- There is a higher percentage of disabled individuals in Joy at 21.0% compared to 0.0% in Kelso.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kelso | Joy |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 37.0% (134) |
| Less than High School | 0.0% (Data is updating) | 14.9% (54) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 5.5% (20) |
Education Levels Comparison: Kelso vs Joy
- The percentage of residents with no formal schooling is the same in both Kelso and Joy at 0.0%.
- In Joy, the rate of residents with high school diplomas is higher at 37.0% compared to 0.0% in Kelso.
- The percentage of residents with less than a high school education is higher in Joy at 14.9%, compared to 0.0% in Kelso.
- In Joy, a larger share of residents have a bachelor's degree or higher at 5.5% compared to 0.0% in Kelso.
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.