Demographics details for Bertha, MN vs Lumber bridge, NC
Population Overview
Compare main population characteristics in Bertha, MN vs Lumber bridge, NC.
| Data | Bertha | Lumber bridge |
|---|---|---|
| Population | 554 | 82 |
| Median Age | 40.1 years | 43.8 years |
| Median Income | $51,094 | $61,250 |
| Married Families | 29.0% | 38.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.2 | 4.6 |
Population Comparison: Bertha vs Lumber bridge
- In Bertha, the population is higher at 554, compared to 82 in Lumber bridge.
- The median age in Lumber bridge is higher at 43.8 years, compared to 40.1 years in Bertha.
- Lumber bridge has a higher median income of $61,250, compared to $51,094 in Bertha.
- In Lumber bridge, the percentage of married families is higher at 38.0%, compared to 29.0% in Bertha.
- The poverty level is higher in Lumber bridge at 12%, compared to 0% in Bertha.
- Lumber bridge has a higher unemployment rate at 4.6% compared to 3.2% in Bertha.
Demographics
Demographics Bertha vs Lumber bridge provide insight into the diversity of the communities to compare.
| Demographic | Bertha | Lumber bridge |
|---|---|---|
| Black | Data is updating | 7 |
| White | 95 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | 5 |
Demographics Comparison: Bertha vs Lumber bridge
- In Lumber bridge, the percentage of Black residents is higher at 7% compared to 0% in Bertha.
- Bertha has a higher percentage of White residents at 95% compared to 88% in Lumber bridge.
- Both Bertha and Lumber bridge have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bertha at 1% compared to 0% in Lumber bridge.
- More residents identify as two or more races in Bertha at 4% compared to 0% in Lumber bridge.
- In Lumber bridge, the percentage of American Indian residents is higher at 5%, compared to 0% in Bertha.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bertha | Lumber bridge |
|---|---|---|
| Mental Health Not Good | 17.1% | 17.8% |
| Physical Health Not Good | 10.8% | 14.2% |
| Depression | 25.8% | 23.8% |
| Smoking | 21.2% | 23.0% |
| Binge Drinking | 19.8% | 16.2% |
| Obesity | 39.4% | 40.5% |
| Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Bertha vs Lumber bridge
- In Lumber bridge, a higher percentage report poor mental health at 17.8% compared to 17.1% in Bertha.
- Depression is more prevalent in Bertha at 25.8% compared to 23.8% in Lumber bridge.
- Lumber bridge has a higher smoking rate at 23.0% compared to 21.2% in Bertha.
- Binge drinking is more common in Bertha at 19.8% compared to 16.2% in Lumber bridge.
- Lumber bridge has higher obesity rates at 40.5% compared to 39.4% in Bertha.
- Disability percentages are higher in Bertha at 20.0% compared to 9.0% in Lumber bridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bertha | Lumber bridge |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 14.8% (82) | 32.9% (27) |
| Less than High School | 14.3% (79) | 9.8% (8) |
| Bachelor's Degree and Higher | 10.6% (59) | 7.3% (6) |
Education Levels Comparison: Bertha vs Lumber bridge
- The percentage of residents with no formal schooling is the same in both Bertha and Lumber bridge at 0.0%.
- In Lumber bridge, the rate of residents with high school diplomas is higher at 32.9% compared to 14.8% in Bertha.
- More residents in Bertha have less than a high school education at 14.3% compared to 9.8% in Lumber bridge.
- A higher percentage of residents in Bertha hold a bachelor's degree or higher at 10.6% compared to 7.3% in Lumber bridge.
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.