Demographics details for Bertha, MN vs Kansas city, KS
Population Overview
Compare main population characteristics in Bertha, MN vs Kansas city, KS.
| Data | Bertha | Kansas city |
|---|---|---|
| Population | 554 | 153,345 |
| Median Age | 40.1 years | 34.1 years |
| Median Income | $51,094 | $56,120 |
| Married Families | 29.0% | 33.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 3.2 | 4.4 |
Population Comparison: Bertha vs Kansas city
- The population in Kansas city is higher at 153,345, compared to 554 in Bertha.
- Residents in Bertha have a higher median age of 40.1 years compared to 34.1 years in Kansas city.
- Kansas city has a higher median income of $56,120, compared to $51,094 in Bertha.
- In Kansas city, the percentage of married families is higher at 33.0%, compared to 29.0% in Bertha.
- The poverty level is higher in Kansas city at 14%, compared to 0% in Bertha.
- Kansas city has a higher unemployment rate at 4.4% compared to 3.2% in Bertha.
Demographics
Demographics Bertha vs Kansas city provide insight into the diversity of the communities to compare.
| Demographic | Bertha | Kansas city |
|---|---|---|
| Black | Data is updating | 22 |
| White | 95 | 30 |
| Asian | Data is updating | 5 |
| Hispanic | 1 | 32 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bertha vs Kansas city
- In Kansas city, the percentage of Black residents is higher at 22% compared to 0% in Bertha.
- Bertha has a higher percentage of White residents at 95% compared to 30% in Kansas city.
- In Kansas city, the Asian population stands at 5%, greater than 0% in Bertha.
- Kansas city has a higher percentage of Hispanic residents at 32%, compared to 1% in Bertha.
- The percentage of residents identifying as two or more races is higher in Kansas city at 10%, compared to 4% in Bertha.
- In Kansas city, 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 | Kansas city |
|---|---|---|
| Mental Health Not Good | 17.1% | 18.1% |
| Physical Health Not Good | 10.8% | 12.9% |
| Depression | 25.8% | 21.0% |
| Smoking | 21.2% | 23.9% |
| Binge Drinking | 19.8% | 17.2% |
| Obesity | 39.4% | 42.8% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Bertha vs Kansas city
- In Kansas city, a higher percentage report poor mental health at 18.1% compared to 17.1% in Bertha.
- Depression is more prevalent in Bertha at 25.8% compared to 21.0% in Kansas city.
- Kansas city has a higher smoking rate at 23.9% compared to 21.2% in Bertha.
- Binge drinking is more common in Bertha at 19.8% compared to 17.2% in Kansas city.
- Kansas city has higher obesity rates at 42.8% compared to 39.4% in Bertha.
- Disability percentages are higher in Bertha at 20.0% compared to 14.0% in Kansas city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bertha | Kansas city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.5% (3,822) |
| High School Diploma | 14.8% (82) | 16.9% (25,923) |
| Less than High School | 14.3% (79) | 21.7% (33,318) |
| Bachelor's Degree and Higher | 10.6% (59) | 12.7% (19,424) |
Education Levels Comparison: Bertha vs Kansas city
- In Kansas city, a larger percentage of residents lack formal schooling at 2.5% compared to 0.0% in Bertha.
- In Kansas city, the rate of residents with high school diplomas is higher at 16.9% compared to 14.8% in Bertha.
- The percentage of residents with less than a high school education is higher in Kansas city at 21.7%, compared to 14.3% in Bertha.
- In Kansas city, a larger share of residents have a bachelor's degree or higher at 12.7% 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.