Demographics details for Kansas city, KS vs Columbia, MO
Population Overview
Compare main population characteristics in Kansas city, KS vs Columbia, MO.
| Data | Kansas city | Columbia |
|---|---|---|
| Population | 153,345 | 128,555 |
| Median Age | 34.1 years | 28.8 years |
| Median Income | $56,120 | $60,455 |
| Married Families | 33.0% | 32.0% |
| Poverty Level | 14% | 19% |
| Unemployment Rate | 4.4 | 3.8 |
Population Comparison: Kansas city vs Columbia
- In Kansas city, the population is higher at 153,345, compared to 128,555 in Columbia.
- Residents in Kansas city have a higher median age of 34.1 years compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455, compared to $56,120 in Kansas city.
- A higher percentage of married families is found in Kansas city at 33.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 14% in Kansas city.
- The unemployment rate in Kansas city is higher at 4.4%, compared to 3.8% in Columbia.
Demographics
Demographics Kansas city vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Kansas city | Columbia |
|---|---|---|
| Black | 22 | 11 |
| White | 30 | 73 |
| Asian | 5 | 6 |
| Hispanic | 32 | 4 |
| Two or More Races | 10 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kansas city vs Columbia
- A higher percentage of Black residents are in Kansas city at 22% compared to 11% in Columbia.
- The percentage of White residents is higher in Columbia at 73% compared to 30% in Kansas city.
- In Columbia, the Asian population stands at 6%, greater than 5% in Kansas city.
- The Hispanic community is larger in Kansas city at 32% compared to 4% in Columbia.
- More residents identify as two or more races in Kansas city at 10% compared to 6% in Columbia.
- A greater percentage of American Indian residents live in Kansas city at 1% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kansas city | Columbia |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.7% |
| Physical Health Not Good | 12.9% | 11.4% |
| Depression | 21.0% | 25.3% |
| Smoking | 23.9% | 16.3% |
| Binge Drinking | 17.2% | 17.7% |
| Obesity | 42.8% | 33.5% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Kansas city vs Columbia
- More residents in Kansas city report poor mental health at 18.1% compared to 16.7% in Columbia.
- Higher depression rates are seen in Columbia at 25.3% versus 21.0% in Kansas city.
- Smoking is more prevalent in Kansas city at 23.9% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Columbia at 17.7% compared to 17.2% in Kansas city.
- Obesity rates are higher in Kansas city at 42.8% compared to 33.5% in Columbia.
- Disability percentages are higher in Kansas city at 14.0% 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 | Kansas city | Columbia |
|---|---|---|
| No Schooling | 2.5% (3,822) | 0.7% (845) |
| High School Diploma | 16.9% (25,923) | 7.8% (9,965) |
| Less than High School | 21.7% (33,318) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 12.7% (19,424) | 30.5% (39,270) |
Education Levels Comparison: Kansas city vs Columbia
- A higher percentage of residents in Kansas city have no formal schooling at 2.5% compared to 0.7% in Columbia.
- A higher percentage of residents in Kansas city hold a high school diploma at 16.9% compared to 7.8% in Columbia.
- More residents in Kansas city have less than a high school education at 21.7% compared to 4.2% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% compared to 12.7% in Kansas city.
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.