Demographics details for Bertha, MN vs Covington, VA
Population Overview
Compare main population characteristics in Bertha, MN vs Covington, VA.
| Data | Bertha | Covington |
|---|---|---|
| Population | 554 | 5,679 |
| Median Age | 40.1 years | 41.9 years |
| Median Income | $51,094 | $45,737 |
| Married Families | 29.0% | 43.0% |
| Poverty Level | Data is updating | 13% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Bertha vs Covington
- The population in Covington is higher at 5,679, compared to 554 in Bertha.
- The median age in Covington is higher at 41.9 years, compared to 40.1 years in Bertha.
- Bertha has a higher median income of $51,094 compared to $45,737 in Covington.
- In Covington, the percentage of married families is higher at 43.0%, compared to 29.0% in Bertha.
- The poverty level is higher in Covington at 13%, compared to 0% in Bertha.
- Covington has a higher unemployment rate at 4.1% compared to 3.2% in Bertha.
Demographics
Demographics Bertha vs Covington provide insight into the diversity of the communities to compare.
| Demographic | Bertha | Covington |
|---|---|---|
| Black | Data is updating | 14 |
| White | 95 | 79 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 2 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bertha vs Covington
- In Covington, the percentage of Black residents is higher at 14% compared to 0% in Bertha.
- Bertha has a higher percentage of White residents at 95% compared to 79% in Covington.
- In Covington, the Asian population stands at 1%, greater than 0% in Bertha.
- Covington has a higher percentage of Hispanic residents at 2%, compared to 1% in Bertha.
- Both Bertha and Covington have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Bertha and Covington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bertha | Covington |
|---|---|---|
| Mental Health Not Good | 17.1% | 19.0% |
| Physical Health Not Good | 10.8% | 13.1% |
| Depression | 25.8% | 24.8% |
| Smoking | 21.2% | 21.6% |
| Binge Drinking | 19.8% | 16.6% |
| Obesity | 39.4% | 39.9% |
| Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Bertha vs Covington
- In Covington, a higher percentage report poor mental health at 19.0% compared to 17.1% in Bertha.
- Depression is more prevalent in Bertha at 25.8% compared to 24.8% in Covington.
- Covington has a higher smoking rate at 21.6% compared to 21.2% in Bertha.
- Binge drinking is more common in Bertha at 19.8% compared to 16.6% in Covington.
- Covington has higher obesity rates at 39.9% compared to 39.4% in Bertha.
- Disability percentages are higher in Bertha at 20.0% compared to 13.0% in Covington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bertha | Covington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (11) |
| High School Diploma | 14.8% (82) | 29.8% (1,691) |
| Less than High School | 14.3% (79) | 14.2% (808) |
| Bachelor's Degree and Higher | 10.6% (59) | 8.0% (455) |
Education Levels Comparison: Bertha vs Covington
- In Covington, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Bertha.
- In Covington, the rate of residents with high school diplomas is higher at 29.8% compared to 14.8% in Bertha.
- More residents in Bertha have less than a high school education at 14.3% compared to 14.2% in Covington.
- A higher percentage of residents in Bertha hold a bachelor's degree or higher at 10.6% compared to 8.0% in Covington.
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.