Demographics details for Costa mesa, CA vs Columbia, SC
Population Overview
Compare main population characteristics in Costa mesa, CA vs Columbia, SC.
| Data | Costa mesa | Columbia |
|---|---|---|
| Population | 109,521 | 139,698 |
| Median Age | 36.4 years | 28.3 years |
| Median Income | $104,981 | $54,095 |
| Married Families | 36.0% | 25.0% |
| Poverty Level | 9% | 17% |
| Unemployment Rate | 3.6 | 5.8 |
Population Comparison: Costa mesa vs Columbia
- The population in Columbia is higher at 139,698, compared to 109,521 in Costa mesa.
- Residents in Costa mesa have a higher median age of 36.4 years compared to 28.3 years in Columbia.
- Costa mesa has a higher median income of $104,981 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Costa mesa at 36.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 9% in Costa mesa.
- Columbia has a higher unemployment rate at 5.8% compared to 3.6% in Costa mesa.
Demographics
Demographics Costa mesa vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Costa mesa | Columbia |
|---|---|---|
| Black | 1 | 40 |
| White | 40 | 48 |
| Asian | 9 | 2 |
| Hispanic | 37 | 5 |
| Two or More Races | 12 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Costa mesa vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 1% in Costa mesa.
- The percentage of White residents is higher in Columbia at 48% compared to 40% in Costa mesa.
- The Asian population is larger in Costa mesa at 9% compared to 2% in Columbia.
- The Hispanic community is larger in Costa mesa at 37% compared to 5% in Columbia.
- More residents identify as two or more races in Costa mesa at 12% compared to 5% in Columbia.
- A greater percentage of American Indian residents live in Costa mesa at 1% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Costa mesa | Columbia |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.6% |
| Physical Health Not Good | 10.4% | 13.1% |
| Depression | 18.5% | 20.8% |
| Smoking | 10.9% | 19.1% |
| Binge Drinking | 17.1% | 18.1% |
| Obesity | 27.6% | 39.0% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Costa mesa vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 15.2% in Costa mesa.
- Higher depression rates are seen in Columbia at 20.8% versus 18.5% in Costa mesa.
- Columbia has a higher smoking rate at 19.1% compared to 10.9% in Costa mesa.
- More residents engage in binge drinking in Columbia at 18.1% compared to 17.1% in Costa mesa.
- Columbia has higher obesity rates at 39.0% compared to 27.6% in Costa mesa.
- There is a higher percentage of disabled individuals in Columbia at 11.0% compared to 8.0% in Costa mesa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Costa mesa | Columbia |
|---|---|---|
| No Schooling | 1.8% (2,006) | 0.4% (555) |
| High School Diploma | 11.3% (12,406) | 8.4% (11,712) |
| Less than High School | 17.3% (18,969) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 31.2% (34,140) | 24.7% (34,575) |
Education Levels Comparison: Costa mesa vs Columbia
- A higher percentage of residents in Costa mesa have no formal schooling at 1.8% compared to 0.4% in Columbia.
- A higher percentage of residents in Costa mesa hold a high school diploma at 11.3% compared to 8.4% in Columbia.
- More residents in Costa mesa have less than a high school education at 17.3% compared to 5.9% in Columbia.
- A higher percentage of residents in Costa mesa hold a bachelor's degree or higher at 31.2% compared to 24.7% in Columbia.
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.