Demographics details for Corona, CA vs Kendallville, IN
Population Overview
Compare main population characteristics in Corona, CA vs Kendallville, IN.
Data | Corona | Kendallville |
---|---|---|
Population | 159,567 | 10,222 |
Median Age | 35.9 years | 41.9 years |
Median Income | $103,727 | $59,971 |
Married Families | 40.0% | 36.0% |
Poverty Level | 11% | 11% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Corona vs Kendallville
- In Corona, the population is higher at 159,567, compared to 10,222 in Kendallville.
- The median age in Kendallville is higher at 41.9 years, compared to 35.9 years in Corona.
- Corona has a higher median income of $103,727 compared to $59,971 in Kendallville.
- A higher percentage of married families is found in Corona at 40.0% compared to 36.0% in Kendallville.
- The poverty level is identical in both Corona and Kendallville at 11%.
- The unemployment rate in Corona is higher at 4.1%, compared to 3.5% in Kendallville.
Demographics
Demographics Corona vs Kendallville provide insight into the diversity of the communities to compare.
Demographic | Corona | Kendallville |
---|---|---|
Black | 6 | Data is updating |
White | 21 | 87 |
Asian | 11 | 2 |
Hispanic | 48 | 6 |
Two or More Races | 13 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Corona vs Kendallville
- A higher percentage of Black residents are in Corona at 6% compared to 0% in Kendallville.
- The percentage of White residents is higher in Kendallville at 87% compared to 21% in Corona.
- The Asian population is larger in Corona at 11% compared to 2% in Kendallville.
- The Hispanic community is larger in Corona at 48% compared to 6% in Kendallville.
- More residents identify as two or more races in Corona at 13% compared to 5% in Kendallville.
- A greater percentage of American Indian residents live in Corona at 1% compared to 0% in Kendallville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Corona | Kendallville |
---|---|---|
Mental Health Not Good | 15.1% | 18.1% |
Physical Health Not Good | 10.6% | 12.2% |
Depression | 16.6% | 28.1% |
Smoking | 11.8% | 21.5% |
Binge Drinking | 16.7% | 16.9% |
Obesity | 34.1% | 40.8% |
Disability Percentage | 7.0% | 17.0% |
Health Statistics Comparison: Corona vs Kendallville
- In Kendallville, a higher percentage report poor mental health at 18.1% compared to 15.1% in Corona.
- Higher depression rates are seen in Kendallville at 28.1% versus 16.6% in Corona.
- Kendallville has a higher smoking rate at 21.5% compared to 11.8% in Corona.
- More residents engage in binge drinking in Kendallville at 16.9% compared to 16.7% in Corona.
- Kendallville has higher obesity rates at 40.8% compared to 34.1% in Corona.
- There is a higher percentage of disabled individuals in Kendallville at 17.0% compared to 7.0% in Corona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Corona | Kendallville |
---|---|---|
No Schooling | 1.9% (3,102) | 2.4% (249) |
High School Diploma | 14.3% (22,788) | 20.1% (2,055) |
Less than High School | 17.4% (27,748) | 21.8% (2,225) |
Bachelor's Degree and Higher | 19.6% (31,335) | 7.7% (790) |
Education Levels Comparison: Corona vs Kendallville
- In Kendallville, a larger percentage of residents lack formal schooling at 2.4% compared to 1.9% in Corona.
- In Kendallville, the rate of residents with high school diplomas is higher at 20.1% compared to 14.3% in Corona.
- The percentage of residents with less than a high school education is higher in Kendallville at 21.8%, compared to 17.4% in Corona.
- A higher percentage of residents in Corona hold a bachelor's degree or higher at 19.6% 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.