Demographics details for Whiting, KS vs Lore city, OH
Population Overview
Compare main population characteristics in Whiting, KS vs Lore city, OH.
| Data | Whiting | Lore city |
|---|---|---|
| Population | 195 | 279 |
| Median Age | 33.7 years | 28.4 years |
| Median Income | $52,000 | $51,875 |
| Married Families | 47.0% | 24.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | Data is updating | 4.0 |
Population Comparison: Whiting vs Lore city
- The population in Lore city is higher at 279, compared to 195 in Whiting.
- Residents in Whiting have a higher median age of 33.7 years compared to 28.4 years in Lore city.
- Whiting has a higher median income of $52,000 compared to $51,875 in Lore city.
- A higher percentage of married families is found in Whiting at 47.0% compared to 24.0% in Lore city.
- The poverty level is higher in Lore city at 10%, compared to 0% in Whiting.
- Lore city has a higher unemployment rate at 4.0% compared to 0.0% in Whiting.
Demographics
Demographics Whiting vs Lore city provide insight into the diversity of the communities to compare.
| Demographic | Whiting | Lore city |
|---|---|---|
| Black | Data is updating | 3 |
| White | 87 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 1 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whiting vs Lore city
- In Lore city, the percentage of Black residents is higher at 3% compared to 0% in Whiting.
- The percentage of White residents is higher in Lore city at 91% compared to 87% in Whiting.
- Both Whiting and Lore city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Whiting at 2% compared to 1% in Lore city.
- More residents identify as two or more races in Whiting at 11% compared to 5% in Lore city.
- The percentage of American Indian residents is the same in both Whiting and Lore city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whiting | Lore city |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.6% |
| Physical Health Not Good | 9.9% | 13.1% |
| Depression | 22.9% | 24.7% |
| Smoking | 17.9% | 22.6% |
| Binge Drinking | 19.3% | 18.4% |
| Obesity | 39.3% | 43.1% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Whiting vs Lore city
- In Lore city, a higher percentage report poor mental health at 18.6% compared to 16.1% in Whiting.
- Higher depression rates are seen in Lore city at 24.7% versus 22.9% in Whiting.
- Lore city has a higher smoking rate at 22.6% compared to 17.9% in Whiting.
- Binge drinking is more common in Whiting at 19.3% compared to 18.4% in Lore city.
- Lore city has higher obesity rates at 43.1% compared to 39.3% in Whiting.
- There is a higher percentage of disabled individuals in Lore city at 15.0% compared to 13.0% in Whiting.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whiting | Lore city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 28.7% (56) | 23.3% (65) |
| Less than High School | 9.2% (18) | 53.4% (149) |
| Bachelor's Degree and Higher | 14.9% (29) | 9.3% (26) |
Education Levels Comparison: Whiting vs Lore city
- The percentage of residents with no formal schooling is the same in both Whiting and Lore city at 0.0%.
- A higher percentage of residents in Whiting hold a high school diploma at 28.7% compared to 23.3% in Lore city.
- The percentage of residents with less than a high school education is higher in Lore city at 53.4%, compared to 9.2% in Whiting.
- A higher percentage of residents in Whiting hold a bachelor's degree or higher at 14.9% 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.