Demographics details for Silverado, CA vs Columbia, MO
Population Overview
Compare main population characteristics in Silverado, CA vs Columbia, MO.
Data | Silverado | Columbia |
---|---|---|
Population | 1,765 | 128,555 |
Median Age | 34.0 years | 28.8 years |
Median Income | $83,000 | $60,455 |
Married Families | 43.0% | 32.0% |
Poverty Level | 9% | 19% |
Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Silverado vs Columbia
- The population in Columbia is higher at 128,555, compared to 1,765 in Silverado.
- Residents in Silverado have a higher median age of 34.0 years compared to 28.8 years in Columbia.
- Silverado has a higher median income of $83,000 compared to $60,455 in Columbia.
- A higher percentage of married families is found in Silverado at 43.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 9% in Silverado.
- The unemployment rate in Silverado is higher at 4.2%, compared to 3.8% in Columbia.
Demographics
Demographics Silverado vs Columbia provide insight into the diversity of the communities to compare.
Demographic | Silverado | Columbia |
---|---|---|
Black | 2 | 11 |
White | 88 | 73 |
Asian | 3 | 6 |
Hispanic | 4 | 4 |
Two or More Races | 3 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Silverado vs Columbia
- In Columbia, the percentage of Black residents is higher at 11% compared to 2% in Silverado.
- Silverado has a higher percentage of White residents at 88% compared to 73% in Columbia.
- In Columbia, the Asian population stands at 6%, greater than 3% in Silverado.
- The percentage of Hispanic residents is the same in both Silverado and Columbia at 4%.
- The percentage of residents identifying as two or more races is higher in Columbia at 6%, compared to 3% in Silverado.
- The percentage of American Indian residents is the same in both Silverado and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Silverado | Columbia |
---|---|---|
Mental Health Not Good | Data is updating% | 16.7% |
Physical Health Not Good | Data is updating% | 11.4% |
Depression | Data is updating% | 25.3% |
Smoking | Data is updating% | 16.3% |
Binge Drinking | Data is updating% | 17.7% |
Obesity | Data is updating% | 33.5% |
Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Silverado vs Columbia
- In Columbia, a higher percentage report poor mental health at 16.7% compared to 0.0% in Silverado.
- Higher depression rates are seen in Columbia at 25.3% versus 0.0% in Silverado.
- Columbia has a higher smoking rate at 16.3% compared to 0.0% in Silverado.
- More residents engage in binge drinking in Columbia at 17.7% compared to 0.0% in Silverado.
- Columbia has higher obesity rates at 33.5% compared to 0.0% in Silverado.
- There is a higher percentage of disabled individuals in Columbia at 11.0% compared to 0.0% in Silverado.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Silverado | Columbia |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (845) |
High School Diploma | 0.0% (Data is updating) | 7.8% (9,965) |
Less than High School | 0.0% (Data is updating) | 4.2% (5,383) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 30.5% (39,270) |
Education Levels Comparison: Silverado vs Columbia
- In Columbia, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Silverado.
- In Columbia, the rate of residents with high school diplomas is higher at 7.8% compared to 0.0% in Silverado.
- The percentage of residents with less than a high school education is higher in Columbia at 4.2%, compared to 0.0% in Silverado.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 0.0% in Silverado.
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.