Demographics details for Columbia, MO vs Norway, IA
Population Overview
Compare main population characteristics in Columbia, MO vs Norway, IA.
| Data | Columbia | Norway |
|---|---|---|
| Population | 128,555 | 466 |
| Median Age | 28.8 years | 48.3 years |
| Median Income | $60,455 | $90,000 |
| Married Families | 32.0% | 51.0% |
| Poverty Level | 19% | Data is updating |
| Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Columbia vs Norway
- In Columbia, the population is higher at 128,555, compared to 466 in Norway.
- The median age in Norway is higher at 48.3 years, compared to 28.8 years in Columbia.
- Norway has a higher median income of $90,000, compared to $60,455 in Columbia.
- In Norway, the percentage of married families is higher at 51.0%, compared to 32.0% in Columbia.
- Columbia has a higher poverty level at 19% compared to 0% in Norway.
- The unemployment rate in Columbia is higher at 3.8%, compared to 2.5% in Norway.
Demographics
Demographics Columbia vs Norway provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Norway |
|---|---|---|
| Black | 11 | Data is updating |
| White | 73 | 100 |
| Asian | 6 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Norway
- A higher percentage of Black residents are in Columbia at 11% compared to 0% in Norway.
- The percentage of White residents is higher in Norway at 100% compared to 73% in Columbia.
- The Asian population is larger in Columbia at 6% compared to 0% in Norway.
- The Hispanic community is larger in Columbia at 4% compared to 0% in Norway.
- More residents identify as two or more races in Columbia at 6% compared to 0% in Norway.
- The percentage of American Indian residents is the same in both Columbia and Norway at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Norway |
|---|---|---|
| Mental Health Not Good | 16.7% | 14.2% |
| Physical Health Not Good | 11.4% | 8.4% |
| Depression | 25.3% | 17.5% |
| Smoking | 16.3% | 14.7% |
| Binge Drinking | 17.7% | 22.9% |
| Obesity | 33.5% | 36.8% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Columbia vs Norway
- More residents in Columbia report poor mental health at 16.7% compared to 14.2% in Norway.
- Depression is more prevalent in Columbia at 25.3% compared to 17.5% in Norway.
- Smoking is more prevalent in Columbia at 16.3% compared to 14.7% in Norway.
- More residents engage in binge drinking in Norway at 22.9% compared to 17.7% in Columbia.
- Norway has higher obesity rates at 36.8% compared to 33.5% in Columbia.
- There is a higher percentage of disabled individuals in Norway at 13.0% 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 | Norway |
|---|---|---|
| No Schooling | 0.7% (845) | 0.0% (Data is updating) |
| High School Diploma | 7.8% (9,965) | 33.5% (156) |
| Less than High School | 4.2% (5,383) | 5.6% (26) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 10.5% (49) |
Education Levels Comparison: Columbia vs Norway
- A higher percentage of residents in Columbia have no formal schooling at 0.7% compared to 0.0% in Norway.
- In Norway, the rate of residents with high school diplomas is higher at 33.5% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Norway at 5.6%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 10.5% in Norway.
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.