Demographics details for Kendallville, IN vs Selma, CA
Population Overview
Compare main population characteristics in Kendallville, IN vs Selma, CA.
| Data | Kendallville | Selma |
|---|---|---|
| Population | 10,222 | 24,430 |
| Median Age | 41.9 years | 31.3 years |
| Median Income | $59,971 | $53,874 |
| Married Families | 36.0% | 30.0% |
| Poverty Level | 11% | 20% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Kendallville vs Selma
- The population in Selma is higher at 24,430, compared to 10,222 in Kendallville.
- Residents in Kendallville have a higher median age of 41.9 years compared to 31.3 years in Selma.
- Kendallville has a higher median income of $59,971 compared to $53,874 in Selma.
- A higher percentage of married families is found in Kendallville at 36.0% compared to 30.0% in Selma.
- The poverty level is higher in Selma at 20%, compared to 11% in Kendallville.
- Selma has a higher unemployment rate at 6.5% compared to 3.5% in Kendallville.
Demographics
Demographics Kendallville vs Selma provide insight into the diversity of the communities to compare.
| Demographic | Kendallville | Selma |
|---|---|---|
| Black | Data is updating | 1 |
| White | 87 | -2 |
| Asian | 2 | 3 |
| Hispanic | 6 | 84 |
| Two or More Races | 5 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kendallville vs Selma
- In Selma, the percentage of Black residents is higher at 1% compared to 0% in Kendallville.
- Kendallville has a higher percentage of White residents at 87% compared to -2% in Selma.
- In Selma, the Asian population stands at 3%, greater than 2% in Kendallville.
- Selma has a higher percentage of Hispanic residents at 84%, compared to 6% in Kendallville.
- The percentage of residents identifying as two or more races is higher in Selma at 13%, compared to 5% in Kendallville.
- In Selma, the percentage of American Indian residents is higher at 1%, compared to 0% in Kendallville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kendallville | Selma |
|---|---|---|
| Mental Health Not Good | 18.1% | 18.0% |
| Physical Health Not Good | 12.2% | 15.1% |
| Depression | 28.1% | 17.4% |
| Smoking | 21.5% | 15.7% |
| Binge Drinking | 16.9% | 13.6% |
| Obesity | 40.8% | 40.5% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Kendallville vs Selma
- More residents in Kendallville report poor mental health at 18.1% compared to 18.0% in Selma.
- Depression is more prevalent in Kendallville at 28.1% compared to 17.4% in Selma.
- Smoking is more prevalent in Kendallville at 21.5% compared to 15.7% in Selma.
- Binge drinking is more common in Kendallville at 16.9% compared to 13.6% in Selma.
- Obesity rates are higher in Kendallville at 40.8% compared to 40.5% in Selma.
- Disability percentages are higher in Kendallville at 17.0% compared to 12.0% in Selma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kendallville | Selma |
|---|---|---|
| No Schooling | 2.4% (249) | 3.8% (938) |
| High School Diploma | 20.1% (2,055) | 14.6% (3,577) |
| Less than High School | 21.8% (2,225) | 33.9% (8,285) |
| Bachelor's Degree and Higher | 7.7% (790) | 7.0% (1,712) |
Education Levels Comparison: Kendallville vs Selma
- In Selma, a larger percentage of residents lack formal schooling at 3.8% compared to 2.4% in Kendallville.
- A higher percentage of residents in Kendallville hold a high school diploma at 20.1% compared to 14.6% in Selma.
- The percentage of residents with less than a high school education is higher in Selma at 33.9%, compared to 21.8% in Kendallville.
- A higher percentage of residents in Kendallville hold a bachelor's degree or higher at 7.7% compared to 7.0% in Selma.
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.