Demographics details for Columbia, MO vs Middle point, OH
Population Overview
Compare main population characteristics in Columbia, MO vs Middle point, OH.
| Data | Columbia | Middle point |
|---|---|---|
| Population | 128,555 | 565 |
| Median Age | 28.8 years | 37.0 years |
| Median Income | $60,455 | $54,479 |
| Married Families | 32.0% | 44.0% |
| Poverty Level | 19% | 8% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Columbia vs Middle point
- In Columbia, the population is higher at 128,555, compared to 565 in Middle point.
- The median age in Middle point is higher at 37.0 years, compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455 compared to $54,479 in Middle point.
- In Middle point, the percentage of married families is higher at 44.0%, compared to 32.0% in Columbia.
- Columbia has a higher poverty level at 19% compared to 8% in Middle point.
- Middle point has a higher unemployment rate at 4.5% compared to 3.8% in Columbia.
Demographics
Demographics Columbia vs Middle point provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Middle point |
|---|---|---|
| Black | 11 | Data is updating |
| White | 73 | 99 |
| Asian | 6 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 6 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Middle point
- A higher percentage of Black residents are in Columbia at 11% compared to 0% in Middle point.
- The percentage of White residents is higher in Middle point at 99% compared to 73% in Columbia.
- The Asian population is larger in Columbia at 6% compared to 0% in Middle point.
- The Hispanic community is larger in Columbia at 4% compared to 0% in Middle point.
- More residents identify as two or more races in Columbia at 6% compared to 1% in Middle point.
- The percentage of American Indian residents is the same in both Columbia and Middle point at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Middle point |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.7% |
| Physical Health Not Good | 11.4% | 10.5% |
| Depression | 25.3% | 23.4% |
| Smoking | 16.3% | 18.5% |
| Binge Drinking | 17.7% | 19.3% |
| Obesity | 33.5% | 41.8% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Columbia vs Middle point
- Poor mental health levels are equal in both Columbia and Middle point at 16.7%.
- Depression is more prevalent in Columbia at 25.3% compared to 23.4% in Middle point.
- Middle point has a higher smoking rate at 18.5% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Middle point at 19.3% compared to 17.7% in Columbia.
- Middle point has higher obesity rates at 41.8% compared to 33.5% in Columbia.
- There is a higher percentage of disabled individuals in Middle point at 12.0% 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 | Middle point |
|---|---|---|
| No Schooling | 0.7% (845) | 1.1% (6) |
| High School Diploma | 7.8% (9,965) | 34.2% (193) |
| Less than High School | 4.2% (5,383) | 13.1% (74) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 9.4% (53) |
Education Levels Comparison: Columbia vs Middle point
- In Middle point, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in Columbia.
- In Middle point, the rate of residents with high school diplomas is higher at 34.2% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Middle point at 13.1%, 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 9.4% in Middle point.
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.