Demographics details for Costa mesa, CA vs Cullman, AL
Population Overview
Compare main population characteristics in Costa mesa, CA vs Cullman, AL.
| Data | Costa mesa | Cullman |
|---|---|---|
| Population | 109,521 | 19,251 |
| Median Age | 36.4 years | 42.0 years |
| Median Income | $104,981 | $59,982 |
| Married Families | 36.0% | 39.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.6 | 4.3 |
Population Comparison: Costa mesa vs Cullman
- In Costa mesa, the population is higher at 109,521, compared to 19,251 in Cullman.
- The median age in Cullman is higher at 42.0 years, compared to 36.4 years in Costa mesa.
- Costa mesa has a higher median income of $104,981 compared to $59,982 in Cullman.
- In Cullman, the percentage of married families is higher at 39.0%, compared to 36.0% in Costa mesa.
- The poverty level is higher in Cullman at 12%, compared to 9% in Costa mesa.
- Cullman has a higher unemployment rate at 4.3% compared to 3.6% in Costa mesa.
Demographics
Demographics Costa mesa vs Cullman provide insight into the diversity of the communities to compare.
| Demographic | Costa mesa | Cullman |
|---|---|---|
| Black | 1 | 1 |
| White | 40 | 92 |
| Asian | 9 | 1 |
| Hispanic | 37 | 2 |
| Two or More Races | 12 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Costa mesa vs Cullman
- The percentage of Black residents is the same in both Costa mesa and Cullman at 1%.
- The percentage of White residents is higher in Cullman at 92% compared to 40% in Costa mesa.
- The Asian population is larger in Costa mesa at 9% compared to 1% in Cullman.
- The Hispanic community is larger in Costa mesa at 37% compared to 2% in Cullman.
- More residents identify as two or more races in Costa mesa at 12% compared to 4% in Cullman.
- A greater percentage of American Indian residents live in Costa mesa at 1% compared to 0% in Cullman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Costa mesa | Cullman |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.5% |
| Physical Health Not Good | 10.4% | 12.6% |
| Depression | 18.5% | 24.9% |
| Smoking | 10.9% | 18.2% |
| Binge Drinking | 17.1% | 16.4% |
| Obesity | 27.6% | 37.5% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Costa mesa vs Cullman
- In Cullman, a higher percentage report poor mental health at 18.5% compared to 15.2% in Costa mesa.
- Higher depression rates are seen in Cullman at 24.9% versus 18.5% in Costa mesa.
- Cullman has a higher smoking rate at 18.2% compared to 10.9% in Costa mesa.
- Binge drinking is more common in Costa mesa at 17.1% compared to 16.4% in Cullman.
- Cullman has higher obesity rates at 37.5% compared to 27.6% in Costa mesa.
- There is a higher percentage of disabled individuals in Cullman at 14.0% 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 | Cullman |
|---|---|---|
| No Schooling | 1.8% (2,006) | 0.7% (130) |
| High School Diploma | 11.3% (12,406) | 13.6% (2,614) |
| Less than High School | 17.3% (18,969) | 13.0% (2,512) |
| Bachelor's Degree and Higher | 31.2% (34,140) | 22.1% (4,253) |
Education Levels Comparison: Costa mesa vs Cullman
- A higher percentage of residents in Costa mesa have no formal schooling at 1.8% compared to 0.7% in Cullman.
- In Cullman, the rate of residents with high school diplomas is higher at 13.6% compared to 11.3% in Costa mesa.
- More residents in Costa mesa have less than a high school education at 17.3% compared to 13.0% in Cullman.
- A higher percentage of residents in Costa mesa hold a bachelor's degree or higher at 31.2% compared to 22.1% in Cullman.
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.