Demographics details for Lore city, OH vs Chula, GA
Population Overview
Compare main population characteristics in Lore city, OH vs Chula, GA.
| Data | Lore city | Chula |
|---|---|---|
| Population | 279 | 2,087 |
| Median Age | 28.4 years | 49.9 years |
| Median Income | $51,875 | $48,125 |
| Married Families | 24.0% | 48.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Lore city vs Chula
- The population in Chula is higher at 2,087, compared to 279 in Lore city.
- The median age in Chula is higher at 49.9 years, compared to 28.4 years in Lore city.
- Lore city has a higher median income of $51,875 compared to $48,125 in Chula.
- In Chula, the percentage of married families is higher at 48.0%, compared to 24.0% in Lore city.
- The poverty level is higher in Chula at 12%, compared to 10% in Lore city.
- The unemployment rate in Lore city is higher at 4.0%, compared to 3.5% in Chula.
Demographics
Demographics Lore city vs Chula provide insight into the diversity of the communities to compare.
| Demographic | Lore city | Chula |
|---|---|---|
| Black | 3 | 11 |
| White | 91 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lore city vs Chula
- In Chula, the percentage of Black residents is higher at 11% compared to 3% in Lore city.
- Lore city has a higher percentage of White residents at 91% compared to 76% in Chula.
- Both Lore city and Chula have the same percentage of Asian residents at 0%.
- Chula has a higher percentage of Hispanic residents at 2%, compared to 1% in Lore city.
- The percentage of residents identifying as two or more races is higher in Chula at 11%, compared to 5% in Lore city.
- The percentage of American Indian residents is the same in both Lore city and Chula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lore city | Chula |
|---|---|---|
| Mental Health Not Good | 18.6% | Data is updating% |
| Physical Health Not Good | 13.1% | Data is updating% |
| Depression | 24.7% | Data is updating% |
| Smoking | 22.6% | Data is updating% |
| Binge Drinking | 18.4% | Data is updating% |
| Obesity | 43.1% | Data is updating% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Lore city vs Chula
- More residents in Lore city report poor mental health at 18.6% compared to 0.0% in Chula.
- Depression is more prevalent in Lore city at 24.7% compared to 0.0% in Chula.
- Smoking is more prevalent in Lore city at 22.6% compared to 0.0% in Chula.
- Binge drinking is more common in Lore city at 18.4% compared to 0.0% in Chula.
- Obesity rates are higher in Lore city at 43.1% compared to 0.0% in Chula.
- There is a higher percentage of disabled individuals in Chula at 16.0% compared to 15.0% in Lore city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lore city | Chula |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (16) |
| High School Diploma | 23.3% (65) | 24.1% (504) |
| Less than High School | 53.4% (149) | 11.0% (229) |
| Bachelor's Degree and Higher | 9.3% (26) | 15.7% (328) |
Education Levels Comparison: Lore city vs Chula
- In Chula, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Lore city.
- In Chula, the rate of residents with high school diplomas is higher at 24.1% compared to 23.3% in Lore city.
- More residents in Lore city have less than a high school education at 53.4% compared to 11.0% in Chula.
- In Chula, a larger share of residents have a bachelor's degree or higher at 15.7% compared to 9.3% in Lore 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.