Demographics details for Sterling, IL vs Kendallville, IN
Population Overview
Compare main population characteristics in Sterling, IL vs Kendallville, IN.
Data | Sterling | Kendallville |
---|---|---|
Population | 14,566 | 10,222 |
Median Age | 43.0 years | 41.9 years |
Median Income | $49,007 | $59,971 |
Married Families | 32.0% | 36.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Sterling vs Kendallville
- In Sterling, the population is higher at 14,566, compared to 10,222 in Kendallville.
- Residents in Sterling have a higher median age of 43.0 years compared to 41.9 years in Kendallville.
- Kendallville has a higher median income of $59,971, compared to $49,007 in Sterling.
- In Kendallville, the percentage of married families is higher at 36.0%, compared to 32.0% in Sterling.
- Sterling has a higher poverty level at 12% compared to 11% in Kendallville.
- The unemployment rate in Sterling is higher at 4.2%, compared to 3.5% in Kendallville.
Demographics
Demographics Sterling vs Kendallville provide insight into the diversity of the communities to compare.
Demographic | Sterling | Kendallville |
---|---|---|
Black | 2 | Data is updating |
White | 56 | 87 |
Asian | 2 | 2 |
Hispanic | 27 | 6 |
Two or More Races | 12 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sterling vs Kendallville
- A higher percentage of Black residents are in Sterling at 2% compared to 0% in Kendallville.
- The percentage of White residents is higher in Kendallville at 87% compared to 56% in Sterling.
- Both Sterling and Kendallville have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Sterling at 27% compared to 6% in Kendallville.
- More residents identify as two or more races in Sterling at 12% compared to 5% in Kendallville.
- A greater percentage of American Indian residents live in Sterling at 1% compared to 0% in Kendallville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sterling | Kendallville |
---|---|---|
Mental Health Not Good | 16.7% | 18.1% |
Physical Health Not Good | 12.2% | 12.2% |
Depression | 22.2% | 28.1% |
Smoking | 18.6% | 21.5% |
Binge Drinking | 17.4% | 16.9% |
Obesity | 39.5% | 40.8% |
Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Sterling vs Kendallville
- In Kendallville, a higher percentage report poor mental health at 18.1% compared to 16.7% in Sterling.
- Higher depression rates are seen in Kendallville at 28.1% versus 22.2% in Sterling.
- Kendallville has a higher smoking rate at 21.5% compared to 18.6% in Sterling.
- Binge drinking is more common in Sterling at 17.4% compared to 16.9% in Kendallville.
- Kendallville has higher obesity rates at 40.8% compared to 39.5% in Sterling.
- Disability percentages are the same in both Sterling and Kendallville at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sterling | Kendallville |
---|---|---|
No Schooling | 1.1% (164) | 2.4% (249) |
High School Diploma | 24.1% (3,511) | 20.1% (2,055) |
Less than High School | 13.8% (2,012) | 21.8% (2,225) |
Bachelor's Degree and Higher | 11.8% (1,713) | 7.7% (790) |
Education Levels Comparison: Sterling vs Kendallville
- In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 1.1% in Sterling.
- A higher percentage of residents in Sterling hold a high school diploma at 24.1% compared to 20.1% in Kendallville.
- The percentage of residents with less than a high school education is higher in Kendallville at 21.8%, compared to 13.8% in Sterling.
- A higher percentage of residents in Sterling hold a bachelor's degree or higher at 11.8% compared to 7.7% in Kendallville.
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.