Demographics details for Bertha, MN vs Raymore, MO
Population Overview
Compare main population characteristics in Bertha, MN vs Raymore, MO.
| Data | Bertha | Raymore |
|---|---|---|
| Population | 554 | 24,203 |
| Median Age | 40.1 years | 40.0 years |
| Median Income | $51,094 | $96,536 |
| Married Families | 29.0% | 45.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Bertha vs Raymore
- The population in Raymore is higher at 24,203, compared to 554 in Bertha.
- Residents in Bertha have a higher median age of 40.1 years compared to 40.0 years in Raymore.
- Raymore has a higher median income of $96,536, compared to $51,094 in Bertha.
- In Raymore, the percentage of married families is higher at 45.0%, compared to 29.0% in Bertha.
- The poverty level is higher in Raymore at 5%, compared to 0% in Bertha.
- The unemployment rate is the same in both Bertha and Raymore at 3.2%.
Demographics
Demographics Bertha vs Raymore provide insight into the diversity of the communities to compare.
| Demographic | Bertha | Raymore |
|---|---|---|
| Black | Data is updating | 10 |
| White | 95 | 75 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 5 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bertha vs Raymore
- In Raymore, the percentage of Black residents is higher at 10% compared to 0% in Bertha.
- Bertha has a higher percentage of White residents at 95% compared to 75% in Raymore.
- In Raymore, the Asian population stands at 1%, greater than 0% in Bertha.
- Raymore has a higher percentage of Hispanic residents at 5%, compared to 1% in Bertha.
- The percentage of residents identifying as two or more races is higher in Raymore at 9%, compared to 4% in Bertha.
- The percentage of American Indian residents is the same in both Bertha and Raymore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bertha | Raymore |
|---|---|---|
| Mental Health Not Good | 17.1% | 15.8% |
| Physical Health Not Good | 10.8% | 9.8% |
| Depression | 25.8% | 22.9% |
| Smoking | 21.2% | 15.5% |
| Binge Drinking | 19.8% | 17.8% |
| Obesity | 39.4% | 36.5% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Bertha vs Raymore
- More residents in Bertha report poor mental health at 17.1% compared to 15.8% in Raymore.
- Depression is more prevalent in Bertha at 25.8% compared to 22.9% in Raymore.
- Smoking is more prevalent in Bertha at 21.2% compared to 15.5% in Raymore.
- Binge drinking is more common in Bertha at 19.8% compared to 17.8% in Raymore.
- Obesity rates are higher in Bertha at 39.4% compared to 36.5% in Raymore.
- Disability percentages are higher in Bertha at 20.0% compared to 12.0% in Raymore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bertha | Raymore |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (197) |
| High School Diploma | 14.8% (82) | 13.8% (3,331) |
| Less than High School | 14.3% (79) | 4.5% (1,101) |
| Bachelor's Degree and Higher | 10.6% (59) | 22.1% (5,341) |
Education Levels Comparison: Bertha vs Raymore
- In Raymore, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Bertha.
- A higher percentage of residents in Bertha hold a high school diploma at 14.8% compared to 13.8% in Raymore.
- More residents in Bertha have less than a high school education at 14.3% compared to 4.5% in Raymore.
- In Raymore, a larger share of residents have a bachelor's degree or higher at 22.1% 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.