Demographics details for Costa mesa, CA vs Frankfort, KY
Population Overview
Compare main population characteristics in Costa mesa, CA vs Frankfort, KY.
Data | Costa mesa | Frankfort |
---|---|---|
Population | 109,521 | 28,391 |
Median Age | 36.4 years | 34.2 years |
Median Income | $104,981 | $53,905 |
Married Families | 36.0% | 31.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Costa mesa vs Frankfort
- In Costa mesa, the population is higher at 109,521, compared to 28,391 in Frankfort.
- Residents in Costa mesa have a higher median age of 36.4 years compared to 34.2 years in Frankfort.
- Costa mesa has a higher median income of $104,981 compared to $53,905 in Frankfort.
- A higher percentage of married families is found in Costa mesa at 36.0% compared to 31.0% in Frankfort.
- The poverty level is higher in Frankfort at 12%, compared to 9% in Costa mesa.
- Frankfort has a higher unemployment rate at 4.5% compared to 3.6% in Costa mesa.
Demographics
Demographics Costa mesa vs Frankfort provide insight into the diversity of the communities to compare.
Demographic | Costa mesa | Frankfort |
---|---|---|
Black | 1 | 12 |
White | 40 | 71 |
Asian | 9 | 3 |
Hispanic | 37 | 6 |
Two or More Races | 12 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Costa mesa vs Frankfort
- In Frankfort, the percentage of Black residents is higher at 12% compared to 1% in Costa mesa.
- The percentage of White residents is higher in Frankfort at 71% compared to 40% in Costa mesa.
- The Asian population is larger in Costa mesa at 9% compared to 3% in Frankfort.
- The Hispanic community is larger in Costa mesa at 37% compared to 6% in Frankfort.
- More residents identify as two or more races in Costa mesa at 12% compared to 8% in Frankfort.
- A greater percentage of American Indian residents live in Costa mesa at 1% compared to 0% in Frankfort.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Costa mesa | Frankfort |
---|---|---|
Mental Health Not Good | 15.2% | 18.1% |
Physical Health Not Good | 10.4% | 13.0% |
Depression | 18.5% | 26.4% |
Smoking | 10.9% | 19.4% |
Binge Drinking | 17.1% | 14.5% |
Obesity | 27.6% | 38.6% |
Disability Percentage | 8.0% | 16.0% |
Health Statistics Comparison: Costa mesa vs Frankfort
- In Frankfort, a higher percentage report poor mental health at 18.1% compared to 15.2% in Costa mesa.
- Higher depression rates are seen in Frankfort at 26.4% versus 18.5% in Costa mesa.
- Frankfort has a higher smoking rate at 19.4% compared to 10.9% in Costa mesa.
- Binge drinking is more common in Costa mesa at 17.1% compared to 14.5% in Frankfort.
- Frankfort has higher obesity rates at 38.6% compared to 27.6% in Costa mesa.
- There is a higher percentage of disabled individuals in Frankfort at 16.0% 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 | Frankfort |
---|---|---|
No Schooling | 1.8% (2,006) | 0.3% (89) |
High School Diploma | 11.3% (12,406) | 15.3% (4,339) |
Less than High School | 17.3% (18,969) | 11.5% (3,279) |
Bachelor's Degree and Higher | 31.2% (34,140) | 18.7% (5,295) |
Education Levels Comparison: Costa mesa vs Frankfort
- A higher percentage of residents in Costa mesa have no formal schooling at 1.8% compared to 0.3% in Frankfort.
- In Frankfort, the rate of residents with high school diplomas is higher at 15.3% compared to 11.3% in Costa mesa.
- More residents in Costa mesa have less than a high school education at 17.3% compared to 11.5% in Frankfort.
- A higher percentage of residents in Costa mesa hold a bachelor's degree or higher at 31.2% compared to 18.7% in Frankfort.
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.