Demographics details for Columbia, MO vs Rochester, NH
Population Overview
Compare main population characteristics in Columbia, MO vs Rochester, NH.
| Data | Columbia | Rochester |
|---|---|---|
| Population | 128,555 | 33,169 |
| Median Age | 28.8 years | 43.3 years |
| Median Income | $60,455 | $74,882 |
| Married Families | 32.0% | 39.0% |
| Poverty Level | 19% | 7% |
| Unemployment Rate | 3.8 | 2.3 |
Population Comparison: Columbia vs Rochester
- In Columbia, the population is higher at 128,555, compared to 33,169 in Rochester.
- The median age in Rochester is higher at 43.3 years, compared to 28.8 years in Columbia.
- Rochester has a higher median income of $74,882, compared to $60,455 in Columbia.
- In Rochester, the percentage of married families is higher at 39.0%, compared to 32.0% in Columbia.
- Columbia has a higher poverty level at 19% compared to 7% in Rochester.
- The unemployment rate in Columbia is higher at 3.8%, compared to 2.3% in Rochester.
Demographics
Demographics Columbia vs Rochester provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Rochester |
|---|---|---|
| Black | 11 | 1 |
| White | 73 | 92 |
| Asian | 6 | 1 |
| Hispanic | 4 | 2 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Rochester
- A higher percentage of Black residents are in Columbia at 11% compared to 1% in Rochester.
- The percentage of White residents is higher in Rochester at 92% compared to 73% in Columbia.
- The Asian population is larger in Columbia at 6% compared to 1% in Rochester.
- The Hispanic community is larger in Columbia at 4% compared to 2% in Rochester.
- More residents identify as two or more races in Columbia at 6% compared to 4% in Rochester.
- The percentage of American Indian residents is the same in both Columbia and Rochester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Rochester |
|---|---|---|
| Mental Health Not Good | 16.7% | 17.3% |
| Physical Health Not Good | 11.4% | 11.2% |
| Depression | 25.3% | 26.9% |
| Smoking | 16.3% | 17.0% |
| Binge Drinking | 17.7% | 18.3% |
| Obesity | 33.5% | 34.3% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Columbia vs Rochester
- In Rochester, a higher percentage report poor mental health at 17.3% compared to 16.7% in Columbia.
- Higher depression rates are seen in Rochester at 26.9% versus 25.3% in Columbia.
- Rochester has a higher smoking rate at 17.0% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Rochester at 18.3% compared to 17.7% in Columbia.
- Rochester has higher obesity rates at 34.3% compared to 33.5% in Columbia.
- There is a higher percentage of disabled individuals in Rochester 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 | Rochester |
|---|---|---|
| No Schooling | 0.7% (845) | 0.6% (205) |
| High School Diploma | 7.8% (9,965) | 18.9% (6,274) |
| Less than High School | 4.2% (5,383) | 10.4% (3,451) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 18.6% (6,185) |
Education Levels Comparison: Columbia vs Rochester
- A higher percentage of residents in Columbia have no formal schooling at 0.7% compared to 0.6% in Rochester.
- In Rochester, the rate of residents with high school diplomas is higher at 18.9% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Rochester at 10.4%, 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 18.6% in Rochester.
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.