Demographics details for Richmond, MO vs Saint cloud, MN
Population Overview
Compare main population characteristics in Richmond, MO vs Saint cloud, MN.
| Data | Richmond | Saint cloud |
|---|---|---|
| Population | 5,959 | 69,568 |
| Median Age | 39.9 years | 30.3 years |
| Median Income | $61,694 | $58,910 |
| Married Families | 36.0% | 30.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Richmond vs Saint cloud
- The population in Saint cloud is higher at 69,568, compared to 5,959 in Richmond.
- Residents in Richmond have a higher median age of 39.9 years compared to 30.3 years in Saint cloud.
- Richmond has a higher median income of $61,694 compared to $58,910 in Saint cloud.
- A higher percentage of married families is found in Richmond at 36.0% compared to 30.0% in Saint cloud.
- The poverty level is higher in Saint cloud at 11%, compared to 10% in Richmond.
- Saint cloud has a higher unemployment rate at 4.3% compared to 3.5% in Richmond.
Demographics
Demographics Richmond vs Saint cloud provide insight into the diversity of the communities to compare.
| Demographic | Richmond | Saint cloud |
|---|---|---|
| Black | 2 | 18 |
| White | 90 | 68 |
| Asian | Data is updating | 4 |
| Hispanic | 5 | 4 |
| Two or More Races | 2 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Richmond vs Saint cloud
- In Saint cloud, the percentage of Black residents is higher at 18% compared to 2% in Richmond.
- Richmond has a higher percentage of White residents at 90% compared to 68% in Saint cloud.
- In Saint cloud, the Asian population stands at 4%, greater than 0% in Richmond.
- The Hispanic community is larger in Richmond at 5% compared to 4% in Saint cloud.
- The percentage of residents identifying as two or more races is higher in Saint cloud at 6%, compared to 2% in Richmond.
- A greater percentage of American Indian residents live in Richmond at 1% compared to 0% in Saint cloud.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richmond | Saint cloud |
|---|---|---|
| Mental Health Not Good | 19.0% | 16.2% |
| Physical Health Not Good | 13.6% | 10.4% |
| Depression | 26.0% | 24.3% |
| Smoking | 23.7% | 19.0% |
| Binge Drinking | 17.4% | 20.3% |
| Obesity | 37.3% | 41.9% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Richmond vs Saint cloud
- More residents in Richmond report poor mental health at 19.0% compared to 16.2% in Saint cloud.
- Depression is more prevalent in Richmond at 26.0% compared to 24.3% in Saint cloud.
- Smoking is more prevalent in Richmond at 23.7% compared to 19.0% in Saint cloud.
- More residents engage in binge drinking in Saint cloud at 20.3% compared to 17.4% in Richmond.
- Saint cloud has higher obesity rates at 41.9% compared to 37.3% in Richmond.
- Disability percentages are higher in Richmond at 14.0% compared to 12.0% in Saint cloud.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Richmond | Saint cloud |
|---|---|---|
| No Schooling | 0.3% (17) | 1.0% (723) |
| High School Diploma | 32.1% (1,910) | 12.6% (8,774) |
| Less than High School | 15.1% (898) | 8.0% (5,546) |
| Bachelor's Degree and Higher | 6.8% (407) | 17.3% (12,024) |
Education Levels Comparison: Richmond vs Saint cloud
- In Saint cloud, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Richmond.
- A higher percentage of residents in Richmond hold a high school diploma at 32.1% compared to 12.6% in Saint cloud.
- More residents in Richmond have less than a high school education at 15.1% compared to 8.0% in Saint cloud.
- In Saint cloud, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 6.8% in Richmond.
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.