Demographics details for Columbia, MO vs Covina, CA
Population Overview
Compare main population characteristics in Columbia, MO vs Covina, CA.
| Data | Columbia | Covina |
|---|---|---|
| Population | 128,555 | 49,489 |
| Median Age | 28.8 years | 37.6 years |
| Median Income | $60,455 | $89,650 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 19% | 12% |
| Unemployment Rate | 3.8 | 6.0 |
Population Comparison: Columbia vs Covina
- In Columbia, the population is higher at 128,555, compared to 49,489 in Covina.
- The median age in Covina is higher at 37.6 years, compared to 28.8 years in Columbia.
- Covina has a higher median income of $89,650, compared to $60,455 in Columbia.
- In Covina, the percentage of married families is higher at 38.0%, compared to 32.0% in Columbia.
- Columbia has a higher poverty level at 19% compared to 12% in Covina.
- Covina has a higher unemployment rate at 6.0% compared to 3.8% in Columbia.
Demographics
Demographics Columbia vs Covina provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Covina |
|---|---|---|
| Black | 11 | 4 |
| White | 73 | 18 |
| Asian | 6 | 14 |
| Hispanic | 4 | 63 |
| Two or More Races | 6 | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Columbia vs Covina
- A higher percentage of Black residents are in Columbia at 11% compared to 4% in Covina.
- Columbia has a higher percentage of White residents at 73% compared to 18% in Covina.
- In Covina, the Asian population stands at 14%, greater than 6% in Columbia.
- Covina has a higher percentage of Hispanic residents at 63%, compared to 4% in Columbia.
- The percentage of residents identifying as two or more races is higher in Covina at 19%, compared to 6% in Columbia.
- In Covina, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Covina |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.1% |
| Physical Health Not Good | 11.4% | 10.9% |
| Depression | 25.3% | 15.9% |
| Smoking | 16.3% | 10.5% |
| Binge Drinking | 17.7% | 15.6% |
| Obesity | 33.5% | 28.2% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Columbia vs Covina
- More residents in Columbia report poor mental health at 16.7% compared to 15.1% in Covina.
- Depression is more prevalent in Columbia at 25.3% compared to 15.9% in Covina.
- Smoking is more prevalent in Columbia at 16.3% compared to 10.5% in Covina.
- Binge drinking is more common in Columbia at 17.7% compared to 15.6% in Covina.
- Obesity rates are higher in Columbia at 33.5% compared to 28.2% in Covina.
- There is a higher percentage of disabled individuals in Covina at 12.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Covina |
|---|---|---|
| No Schooling | 0.7% (845) | 1.5% (753) |
| High School Diploma | 7.8% (9,965) | 17.4% (8,620) |
| Less than High School | 4.2% (5,383) | 17.2% (8,533) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 18.7% (9,254) |
Education Levels Comparison: Columbia vs Covina
- In Covina, a larger percentage of residents lack formal schooling at 1.5% compared to 0.7% in Columbia.
- In Covina, the rate of residents with high school diplomas is higher at 17.4% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Covina at 17.2%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 18.7% in Covina.
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.