Demographics details for Bertha, MN vs Seymour, IN
Population Overview
Compare main population characteristics in Bertha, MN vs Seymour, IN.
| Data | Bertha | Seymour |
|---|---|---|
| Population | 554 | 21,618 |
| Median Age | 40.1 years | 34.5 years |
| Median Income | $51,094 | $57,347 |
| Married Families | 29.0% | 32.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Bertha vs Seymour
- The population in Seymour is higher at 21,618, compared to 554 in Bertha.
- Residents in Bertha have a higher median age of 40.1 years compared to 34.5 years in Seymour.
- Seymour has a higher median income of $57,347, compared to $51,094 in Bertha.
- In Seymour, the percentage of married families is higher at 32.0%, compared to 29.0% in Bertha.
- The poverty level is higher in Seymour at 12%, compared to 0% in Bertha.
- Seymour has a higher unemployment rate at 3.5% compared to 3.2% in Bertha.
Demographics
Demographics Bertha vs Seymour provide insight into the diversity of the communities to compare.
| Demographic | Bertha | Seymour |
|---|---|---|
| Black | Data is updating | 2 |
| White | 95 | 68 |
| Asian | Data is updating | 3 |
| Hispanic | 1 | 15 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bertha vs Seymour
- In Seymour, the percentage of Black residents is higher at 2% compared to 0% in Bertha.
- Bertha has a higher percentage of White residents at 95% compared to 68% in Seymour.
- In Seymour, the Asian population stands at 3%, greater than 0% in Bertha.
- Seymour has a higher percentage of Hispanic residents at 15%, compared to 1% in Bertha.
- The percentage of residents identifying as two or more races is higher in Seymour at 11%, compared to 4% in Bertha.
- In Seymour, the percentage of American Indian residents is higher at 1%, compared to 0% in Bertha.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bertha | Seymour |
|---|---|---|
| Mental Health Not Good | 17.1% | 18.0% |
| Physical Health Not Good | 10.8% | 12.9% |
| Depression | 25.8% | 26.9% |
| Smoking | 21.2% | 21.5% |
| Binge Drinking | 19.8% | 16.3% |
| Obesity | 39.4% | 42.2% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Bertha vs Seymour
- In Seymour, a higher percentage report poor mental health at 18.0% compared to 17.1% in Bertha.
- Higher depression rates are seen in Seymour at 26.9% versus 25.8% in Bertha.
- Seymour has a higher smoking rate at 21.5% compared to 21.2% in Bertha.
- Binge drinking is more common in Bertha at 19.8% compared to 16.3% in Seymour.
- Seymour has higher obesity rates at 42.2% compared to 39.4% in Bertha.
- Disability percentages are higher in Bertha at 20.0% compared to 15.0% in Seymour.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bertha | Seymour |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (348) |
| High School Diploma | 14.8% (82) | 20.2% (4,374) |
| Less than High School | 14.3% (79) | 17.4% (3,765) |
| Bachelor's Degree and Higher | 10.6% (59) | 12.2% (2,648) |
Education Levels Comparison: Bertha vs Seymour
- In Seymour, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Bertha.
- In Seymour, the rate of residents with high school diplomas is higher at 20.2% compared to 14.8% in Bertha.
- The percentage of residents with less than a high school education is higher in Seymour at 17.4%, compared to 14.3% in Bertha.
- In Seymour, a larger share of residents have a bachelor's degree or higher at 12.2% 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.