Demographics details for Monroe city, MO vs Columbia, SC
Population Overview
Compare main population characteristics in Monroe city, MO vs Columbia, SC.
| Data | Monroe city | Columbia |
|---|---|---|
| Population | 2,650 | 139,698 |
| Median Age | 40.1 years | 28.3 years |
| Median Income | $50,885 | $54,095 |
| Married Families | 42.0% | 25.0% |
| Poverty Level | 13% | 17% |
| Unemployment Rate | 3.2 | 5.8 |
Population Comparison: Monroe city vs Columbia
- The population in Columbia is higher at 139,698, compared to 2,650 in Monroe city.
- Residents in Monroe city have a higher median age of 40.1 years compared to 28.3 years in Columbia.
- Columbia has a higher median income of $54,095, compared to $50,885 in Monroe city.
- A higher percentage of married families is found in Monroe city at 42.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 13% in Monroe city.
- Columbia has a higher unemployment rate at 5.8% compared to 3.2% in Monroe city.
Demographics
Demographics Monroe city vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Monroe city | Columbia |
|---|---|---|
| Black | 11 | 40 |
| White | 79 | 48 |
| Asian | 2 | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | 5 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Monroe city vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 11% in Monroe city.
- Monroe city has a higher percentage of White residents at 79% compared to 48% in Columbia.
- Both Monroe city and Columbia have the same percentage of Asian residents at 2%.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 1% in Monroe city.
- Both Monroe city and Columbia have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Monroe city at 2% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monroe city | Columbia |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.6% |
| Physical Health Not Good | 13.1% | 13.1% |
| Depression | 25.7% | 20.8% |
| Smoking | 22.3% | 19.1% |
| Binge Drinking | 17.7% | 18.1% |
| Obesity | 41.5% | 39.0% |
| Disability Percentage | 21.0% | 11.0% |
Health Statistics Comparison: Monroe city vs Columbia
- Poor mental health levels are equal in both Monroe city and Columbia at 18.6%.
- Depression is more prevalent in Monroe city at 25.7% compared to 20.8% in Columbia.
- Smoking is more prevalent in Monroe city at 22.3% compared to 19.1% in Columbia.
- More residents engage in binge drinking in Columbia at 18.1% compared to 17.7% in Monroe city.
- Obesity rates are higher in Monroe city at 41.5% compared to 39.0% in Columbia.
- Disability percentages are higher in Monroe city at 21.0% 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 | Monroe city | Columbia |
|---|---|---|
| No Schooling | 0.5% (13) | 0.4% (555) |
| High School Diploma | 33.2% (880) | 8.4% (11,712) |
| Less than High School | 20.6% (545) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 12.2% (323) | 24.7% (34,575) |
Education Levels Comparison: Monroe city vs Columbia
- A higher percentage of residents in Monroe city have no formal schooling at 0.5% compared to 0.4% in Columbia.
- A higher percentage of residents in Monroe city hold a high school diploma at 33.2% compared to 8.4% in Columbia.
- More residents in Monroe city have less than a high school education at 20.6% compared to 5.9% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 12.2% in Monroe 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.