Demographics details for Bertha, MN vs Russell springs, KY
Population Overview
Compare main population characteristics in Bertha, MN vs Russell springs, KY.
Data | Bertha | Russell springs |
---|---|---|
Population | 554 | 2,750 |
Median Age | 40.1 years | 44.8 years |
Median Income | $51,094 | $34,219 |
Married Families | 29.0% | 29.0% |
Poverty Level | Data is updating | 15% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Bertha vs Russell springs
- The population in Russell springs is higher at 2,750, compared to 554 in Bertha.
- The median age in Russell springs is higher at 44.8 years, compared to 40.1 years in Bertha.
- Bertha has a higher median income of $51,094 compared to $34,219 in Russell springs.
- The percentage of married families is the same in both Bertha and Russell springs at 29.0%.
- The poverty level is higher in Russell springs at 15%, compared to 0% in Bertha.
- Russell springs has a higher unemployment rate at 4.5% compared to 3.2% in Bertha.
Demographics
Demographics Bertha vs Russell springs provide insight into the diversity of the communities to compare.
Demographic | Bertha | Russell springs |
---|---|---|
Black | Data is updating | 1 |
White | 95 | 88 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | 3 |
Two or More Races | 4 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bertha vs Russell springs
- In Russell springs, the percentage of Black residents is higher at 1% compared to 0% in Bertha.
- Bertha has a higher percentage of White residents at 95% compared to 88% in Russell springs.
- Both Bertha and Russell springs have the same percentage of Asian residents at 0%.
- Russell springs has a higher percentage of Hispanic residents at 3%, compared to 1% in Bertha.
- The percentage of residents identifying as two or more races is higher in Russell springs at 8%, compared to 4% in Bertha.
- The percentage of American Indian residents is the same in both Bertha and Russell springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bertha | Russell springs |
---|---|---|
Mental Health Not Good | 17.1% | 20.7% |
Physical Health Not Good | 10.8% | 15.6% |
Depression | 25.8% | 29.0% |
Smoking | 21.2% | 25.6% |
Binge Drinking | 19.8% | 14.5% |
Obesity | 39.4% | 40.3% |
Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Bertha vs Russell springs
- In Russell springs, a higher percentage report poor mental health at 20.7% compared to 17.1% in Bertha.
- Higher depression rates are seen in Russell springs at 29.0% versus 25.8% in Bertha.
- Russell springs has a higher smoking rate at 25.6% compared to 21.2% in Bertha.
- Binge drinking is more common in Bertha at 19.8% compared to 14.5% in Russell springs.
- Russell springs has higher obesity rates at 40.3% compared to 39.4% in Bertha.
- Disability percentages are higher in Bertha at 20.0% compared to 15.0% in Russell springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bertha | Russell springs |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (20) |
High School Diploma | 14.8% (82) | 13.6% (375) |
Less than High School | 14.3% (79) | 23.3% (642) |
Bachelor's Degree and Higher | 10.6% (59) | 18.4% (505) |
Education Levels Comparison: Bertha vs Russell springs
- In Russell springs, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Bertha.
- A higher percentage of residents in Bertha hold a high school diploma at 14.8% compared to 13.6% in Russell springs.
- The percentage of residents with less than a high school education is higher in Russell springs at 23.3%, compared to 14.3% in Bertha.
- In Russell springs, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 10.6% in Bertha.
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.