Demographics details for Covington, KY vs Bellflower, CA
Population Overview
Compare main population characteristics in Covington, KY vs Bellflower, CA.
Data | Covington | Bellflower |
---|---|---|
Population | 40,956 | 76,405 |
Median Age | 37.8 years | 35.5 years |
Median Income | $53,770 | $75,379 |
Married Families | 29.0% | 34.0% |
Poverty Level | 14% | 14% |
Unemployment Rate | 5.2 | 6.2 |
Population Comparison: Covington vs Bellflower
- The population in Bellflower is higher at 76,405, compared to 40,956 in Covington.
- Residents in Covington have a higher median age of 37.8 years compared to 35.5 years in Bellflower.
- Bellflower has a higher median income of $75,379, compared to $53,770 in Covington.
- In Bellflower, the percentage of married families is higher at 34.0%, compared to 29.0% in Covington.
- The poverty level is identical in both Covington and Bellflower at 14%.
- Bellflower has a higher unemployment rate at 6.2% compared to 5.2% in Covington.
Demographics
Demographics Covington vs Bellflower provide insight into the diversity of the communities to compare.
Demographic | Covington | Bellflower |
---|---|---|
Black | 10 | 13 |
White | 76 | -3 |
Asian | 1 | 12 |
Hispanic | 8 | 62 |
Two or More Races | 5 | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Covington vs Bellflower
- In Bellflower, the percentage of Black residents is higher at 13% compared to 10% in Covington.
- Covington has a higher percentage of White residents at 76% compared to -3% in Bellflower.
- In Bellflower, the Asian population stands at 12%, greater than 1% in Covington.
- Bellflower has a higher percentage of Hispanic residents at 62%, compared to 8% in Covington.
- The percentage of residents identifying as two or more races is higher in Bellflower at 15%, compared to 5% in Covington.
- In Bellflower, the percentage of American Indian residents is higher at 1%, compared to 0% in Covington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Covington | Bellflower |
---|---|---|
Mental Health Not Good | 18.9% | 16.1% |
Physical Health Not Good | 14.3% | 12.1% |
Depression | 27.1% | 15.9% |
Smoking | 22.9% | 12.2% |
Binge Drinking | 15.2% | 14.7% |
Obesity | 38.1% | 30.2% |
Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Covington vs Bellflower
- More residents in Covington report poor mental health at 18.9% compared to 16.1% in Bellflower.
- Depression is more prevalent in Covington at 27.1% compared to 15.9% in Bellflower.
- Smoking is more prevalent in Covington at 22.9% compared to 12.2% in Bellflower.
- Binge drinking is more common in Covington at 15.2% compared to 14.7% in Bellflower.
- Obesity rates are higher in Covington at 38.1% compared to 30.2% in Bellflower.
- Disability percentages are higher in Covington at 17.0% compared to 10.0% in Bellflower.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Covington | Bellflower |
---|---|---|
No Schooling | 1.0% (395) | 3.8% (2,888) |
High School Diploma | 16.2% (6,618) | 15.5% (11,834) |
Less than High School | 18.6% (7,598) | 28.9% (22,107) |
Bachelor's Degree and Higher | 22.0% (8,998) | 13.6% (10,396) |
Education Levels Comparison: Covington vs Bellflower
- In Bellflower, a larger percentage of residents lack formal schooling at 3.8% compared to 1.0% in Covington.
- A higher percentage of residents in Covington hold a high school diploma at 16.2% compared to 15.5% in Bellflower.
- The percentage of residents with less than a high school education is higher in Bellflower at 28.9%, compared to 18.6% in Covington.
- A higher percentage of residents in Covington hold a bachelor's degree or higher at 22.0% compared to 13.6% in Bellflower.
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.