Demographics details for Columbia, MD vs Yankton, SD
Population Overview
Compare main population characteristics in Columbia, MD vs Yankton, SD.
Data | Columbia | Yankton |
---|---|---|
Population | 106,600 | 15,534 |
Median Age | 38.8 years | 39.9 years |
Median Income | $124,537 | $60,180 |
Married Families | 40.0% | 37.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 2.9 | 3.6 |
Population Comparison: Columbia vs Yankton
- In Columbia, the population is higher at 106,600, compared to 15,534 in Yankton.
- The median age in Yankton is higher at 39.9 years, compared to 38.8 years in Columbia.
- Columbia has a higher median income of $124,537 compared to $60,180 in Yankton.
- A higher percentage of married families is found in Columbia at 40.0% compared to 37.0% in Yankton.
- The poverty level is higher in Yankton at 12%, compared to 5% in Columbia.
- Yankton has a higher unemployment rate at 3.6% compared to 2.9% in Columbia.
Demographics
Demographics Columbia vs Yankton provide insight into the diversity of the communities to compare.
Demographic | Columbia | Yankton |
---|---|---|
Black | 28 | 2 |
White | 42 | 81 |
Asian | 13 | Data is updating |
Hispanic | 9 | 7 |
Two or More Races | 8 | 7 |
American Indian | Data is updating | 3 |
Demographics Comparison: Columbia vs Yankton
- A higher percentage of Black residents are in Columbia at 28% compared to 2% in Yankton.
- The percentage of White residents is higher in Yankton at 81% compared to 42% in Columbia.
- The Asian population is larger in Columbia at 13% compared to 0% in Yankton.
- The Hispanic community is larger in Columbia at 9% compared to 7% in Yankton.
- More residents identify as two or more races in Columbia at 8% compared to 7% in Yankton.
- In Yankton, the percentage of American Indian residents is higher at 3%, compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbia | Yankton |
---|---|---|
Mental Health Not Good | 12.7% | 13.9% |
Physical Health Not Good | 7.5% | 9.9% |
Depression | 17.9% | 17.9% |
Smoking | 8.7% | 18.3% |
Binge Drinking | 13.3% | 20.3% |
Obesity | 29.6% | 37.9% |
Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Columbia vs Yankton
- In Yankton, a higher percentage report poor mental health at 13.9% compared to 12.7% in Columbia.
- Both cities have comparable depression rates at 17.9%.
- Yankton has a higher smoking rate at 18.3% compared to 8.7% in Columbia.
- More residents engage in binge drinking in Yankton at 20.3% compared to 13.3% in Columbia.
- Yankton has higher obesity rates at 37.9% compared to 29.6% in Columbia.
- There is a higher percentage of disabled individuals in Yankton at 16.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbia | Yankton |
---|---|---|
No Schooling | 1.0% (1,029) | 0.5% (73) |
High School Diploma | 7.3% (7,833) | 16.8% (2,614) |
Less than High School | 4.5% (4,826) | 8.3% (1,290) |
Bachelor's Degree and Higher | 44.4% (47,380) | 20.7% (3,222) |
Education Levels Comparison: Columbia vs Yankton
- A higher percentage of residents in Columbia have no formal schooling at 1.0% compared to 0.5% in Yankton.
- In Yankton, the rate of residents with high school diplomas is higher at 16.8% compared to 7.3% in Columbia.
- The percentage of residents with less than a high school education is higher in Yankton at 8.3%, compared to 4.5% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 44.4% compared to 20.7% in Yankton.
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.