Demographics details for Williamsburg, KY vs Lore city, OH
Population Overview
Compare main population characteristics in Williamsburg, KY vs Lore city, OH.
Data | Williamsburg | Lore city |
---|---|---|
Population | 5,163 | 279 |
Median Age | 27.3 years | 28.4 years |
Median Income | $33,875 | $51,875 |
Married Families | 29.0% | 24.0% |
Poverty Level | 19% | 10% |
Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Williamsburg vs Lore city
- In Williamsburg, the population is higher at 5,163, compared to 279 in Lore city.
- The median age in Lore city is higher at 28.4 years, compared to 27.3 years in Williamsburg.
- Lore city has a higher median income of $51,875, compared to $33,875 in Williamsburg.
- A higher percentage of married families is found in Williamsburg at 29.0% compared to 24.0% in Lore city.
- Williamsburg has a higher poverty level at 19% compared to 10% in Lore city.
- The unemployment rate in Williamsburg is higher at 4.5%, compared to 4.0% in Lore city.
Demographics
Demographics Williamsburg vs Lore city provide insight into the diversity of the communities to compare.
Demographic | Williamsburg | Lore city |
---|---|---|
Black | 4 | 3 |
White | 90 | 91 |
Asian | 1 | Data is updating |
Hispanic | 3 | 1 |
Two or More Races | 2 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Williamsburg vs Lore city
- A higher percentage of Black residents are in Williamsburg at 4% compared to 3% in Lore city.
- The percentage of White residents is higher in Lore city at 91% compared to 90% in Williamsburg.
- The Asian population is larger in Williamsburg at 1% compared to 0% in Lore city.
- The Hispanic community is larger in Williamsburg at 3% compared to 1% in Lore city.
- The percentage of residents identifying as two or more races is higher in Lore city at 5%, compared to 2% in Williamsburg.
- The percentage of American Indian residents is the same in both Williamsburg and Lore city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Williamsburg | Lore city |
---|---|---|
Mental Health Not Good | 21.8% | 18.6% |
Physical Health Not Good | 16.6% | 13.1% |
Depression | 32.0% | 24.7% |
Smoking | 26.4% | 22.6% |
Binge Drinking | 14.1% | 18.4% |
Obesity | 42.9% | 43.1% |
Disability Percentage | 24.0% | 15.0% |
Health Statistics Comparison: Williamsburg vs Lore city
- More residents in Williamsburg report poor mental health at 21.8% compared to 18.6% in Lore city.
- Depression is more prevalent in Williamsburg at 32.0% compared to 24.7% in Lore city.
- Smoking is more prevalent in Williamsburg at 26.4% compared to 22.6% in Lore city.
- More residents engage in binge drinking in Lore city at 18.4% compared to 14.1% in Williamsburg.
- Lore city has higher obesity rates at 43.1% compared to 42.9% in Williamsburg.
- Disability percentages are higher in Williamsburg at 24.0% 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 | Williamsburg | Lore city |
---|---|---|
No Schooling | 0.2% (11) | 0.0% (Data is updating) |
High School Diploma | 12.5% (647) | 23.3% (65) |
Less than High School | 24.8% (1,280) | 53.4% (149) |
Bachelor's Degree and Higher | 12.3% (633) | 9.3% (26) |
Education Levels Comparison: Williamsburg vs Lore city
- A higher percentage of residents in Williamsburg have no formal schooling at 0.2% compared to 0.0% in Lore city.
- In Lore city, the rate of residents with high school diplomas is higher at 23.3% compared to 12.5% in Williamsburg.
- The percentage of residents with less than a high school education is higher in Lore city at 53.4%, compared to 24.8% in Williamsburg.
- A higher percentage of residents in Williamsburg hold a bachelor's degree or higher at 12.3% 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.