Demographics details for Columbia, MO vs Papillion, NE
Population Overview
Compare main population characteristics in Columbia, MO vs Papillion, NE.
| Data | Columbia | Papillion |
|---|---|---|
| Population | 128,555 | 23,794 |
| Median Age | 28.8 years | 40.3 years |
| Median Income | $60,455 | $104,608 |
| Married Families | 32.0% | 49.0% |
| Poverty Level | 19% | 5% |
| Unemployment Rate | 3.8 | 3.2 |
Population Comparison: Columbia vs Papillion
- In Columbia, the population is higher at 128,555, compared to 23,794 in Papillion.
- The median age in Papillion is higher at 40.3 years, compared to 28.8 years in Columbia.
- Papillion has a higher median income of $104,608, compared to $60,455 in Columbia.
- In Papillion, the percentage of married families is higher at 49.0%, compared to 32.0% in Columbia.
- Columbia has a higher poverty level at 19% compared to 5% in Papillion.
- The unemployment rate in Columbia is higher at 3.8%, compared to 3.2% in Papillion.
Demographics
Demographics Columbia vs Papillion provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Papillion |
|---|---|---|
| Black | 11 | 3 |
| White | 73 | 83 |
| Asian | 6 | 2 |
| Hispanic | 4 | 7 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Papillion
- A higher percentage of Black residents are in Columbia at 11% compared to 3% in Papillion.
- The percentage of White residents is higher in Papillion at 83% compared to 73% in Columbia.
- The Asian population is larger in Columbia at 6% compared to 2% in Papillion.
- Papillion has a higher percentage of Hispanic residents at 7%, compared to 4% in Columbia.
- More residents identify as two or more races in Columbia at 6% compared to 5% in Papillion.
- The percentage of American Indian residents is the same in both Columbia and Papillion at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Papillion |
|---|---|---|
| Mental Health Not Good | 16.7% | 12.4% |
| Physical Health Not Good | 11.4% | 7.6% |
| Depression | 25.3% | 17.5% |
| Smoking | 16.3% | 12.1% |
| Binge Drinking | 17.7% | 21.3% |
| Obesity | 33.5% | 36.3% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Columbia vs Papillion
- More residents in Columbia report poor mental health at 16.7% compared to 12.4% in Papillion.
- Depression is more prevalent in Columbia at 25.3% compared to 17.5% in Papillion.
- Smoking is more prevalent in Columbia at 16.3% compared to 12.1% in Papillion.
- More residents engage in binge drinking in Papillion at 21.3% compared to 17.7% in Columbia.
- Papillion has higher obesity rates at 36.3% compared to 33.5% in Columbia.
- Disability percentages are higher in Columbia at 11.0% compared to 10.0% in Papillion.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Papillion |
|---|---|---|
| No Schooling | 0.7% (845) | 0.2% (48) |
| High School Diploma | 7.8% (9,965) | 11.6% (2,751) |
| Less than High School | 4.2% (5,383) | 3.8% (910) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 31.8% (7,575) |
Education Levels Comparison: Columbia vs Papillion
- A higher percentage of residents in Columbia have no formal schooling at 0.7% compared to 0.2% in Papillion.
- In Papillion, the rate of residents with high school diplomas is higher at 11.6% compared to 7.8% in Columbia.
- More residents in Columbia have less than a high school education at 4.2% compared to 3.8% in Papillion.
- In Papillion, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 30.5% in Columbia.
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.