Demographics details for Cornelia, GA vs Rich hill, MO
Population Overview
Compare main population characteristics in Cornelia, GA vs Rich hill, MO.
| Data | Cornelia | Rich hill |
|---|---|---|
| Population | 5,004 | 1,244 |
| Median Age | 30.4 years | 41.5 years |
| Median Income | $46,211 | $43,205 |
| Married Families | 32.0% | 48.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Cornelia vs Rich hill
- In Cornelia, the population is higher at 5,004, compared to 1,244 in Rich hill.
- The median age in Rich hill is higher at 41.5 years, compared to 30.4 years in Cornelia.
- Cornelia has a higher median income of $46,211 compared to $43,205 in Rich hill.
- In Rich hill, the percentage of married families is higher at 48.0%, compared to 32.0% in Cornelia.
- The poverty level is identical in both Cornelia and Rich hill at 12%.
- Rich hill has a higher unemployment rate at 4.8% compared to 3.5% in Cornelia.
Demographics
Demographics Cornelia vs Rich hill provide insight into the diversity of the communities to compare.
| Demographic | Cornelia | Rich hill |
|---|---|---|
| Black | 9 | 1 |
| White | 43 | 91 |
| Asian | 3 | Data is updating |
| Hispanic | 32 | 2 |
| Two or More Races | 13 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Cornelia vs Rich hill
- A higher percentage of Black residents are in Cornelia at 9% compared to 1% in Rich hill.
- The percentage of White residents is higher in Rich hill at 91% compared to 43% in Cornelia.
- The Asian population is larger in Cornelia at 3% compared to 0% in Rich hill.
- The Hispanic community is larger in Cornelia at 32% compared to 2% in Rich hill.
- More residents identify as two or more races in Cornelia at 13% compared to 5% in Rich hill.
- In Rich hill, the percentage of American Indian residents is higher at 1%, compared to 0% in Cornelia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cornelia | Rich hill |
|---|---|---|
| Mental Health Not Good | 18.2% | 19.6% |
| Physical Health Not Good | 14.7% | 14.5% |
| Depression | 22.4% | 27.2% |
| Smoking | 20.2% | 25.1% |
| Binge Drinking | 14.4% | 16.8% |
| Obesity | 34.6% | 41.0% |
| Disability Percentage | 13.0% | 25.0% |
Health Statistics Comparison: Cornelia vs Rich hill
- In Rich hill, a higher percentage report poor mental health at 19.6% compared to 18.2% in Cornelia.
- Higher depression rates are seen in Rich hill at 27.2% versus 22.4% in Cornelia.
- Rich hill has a higher smoking rate at 25.1% compared to 20.2% in Cornelia.
- More residents engage in binge drinking in Rich hill at 16.8% compared to 14.4% in Cornelia.
- Rich hill has higher obesity rates at 41.0% compared to 34.6% in Cornelia.
- There is a higher percentage of disabled individuals in Rich hill at 25.0% compared to 13.0% in Cornelia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cornelia | Rich hill |
|---|---|---|
| No Schooling | 3.6% (179) | 1.4% (17) |
| High School Diploma | 9.5% (473) | 29.9% (372) |
| Less than High School | 35.8% (1,790) | 42.6% (530) |
| Bachelor's Degree and Higher | 12.5% (625) | 7.4% (92) |
Education Levels Comparison: Cornelia vs Rich hill
- A higher percentage of residents in Cornelia have no formal schooling at 3.6% compared to 1.4% in Rich hill.
- In Rich hill, the rate of residents with high school diplomas is higher at 29.9% compared to 9.5% in Cornelia.
- The percentage of residents with less than a high school education is higher in Rich hill at 42.6%, compared to 35.8% in Cornelia.
- A higher percentage of residents in Cornelia hold a bachelor's degree or higher at 12.5% compared to 7.4% in Rich hill.
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.