Demographics details for Kingston, GA vs Laurelville, OH
Population Overview
Compare main population characteristics in Kingston, GA vs Laurelville, OH.
Data | Kingston | Laurelville |
---|---|---|
Population | 742 | 506 |
Median Age | 43.3 years | 36.1 years |
Median Income | $50,000 | $50,357 |
Married Families | 29.0% | 41.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Kingston vs Laurelville
- In Kingston, the population is higher at 742, compared to 506 in Laurelville.
- Residents in Kingston have a higher median age of 43.3 years compared to 36.1 years in Laurelville.
- Laurelville has a higher median income of $50,357, compared to $50,000 in Kingston.
- In Laurelville, the percentage of married families is higher at 41.0%, compared to 29.0% in Kingston.
- The poverty level is higher in Laurelville at 12%, compared to 8% in Kingston.
- The unemployment rate is the same in both Kingston and Laurelville at 3.5%.
Demographics
Demographics Kingston vs Laurelville provide insight into the diversity of the communities to compare.
Demographic | Kingston | Laurelville |
---|---|---|
Black | 30 | Data is updating |
White | 53 | 88 |
Asian | Data is updating | Data is updating |
Hispanic | 6 | Data is updating |
Two or More Races | 11 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingston vs Laurelville
- A higher percentage of Black residents are in Kingston at 30% compared to 0% in Laurelville.
- The percentage of White residents is higher in Laurelville at 88% compared to 53% in Kingston.
- Both Kingston and Laurelville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Kingston at 6% compared to 0% in Laurelville.
- The percentage of residents identifying as two or more races is higher in Laurelville at 12%, compared to 11% in Kingston.
- The percentage of American Indian residents is the same in both Kingston and Laurelville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingston | Laurelville |
---|---|---|
Mental Health Not Good | 17.5% | 20.7% |
Physical Health Not Good | 12.0% | 14.8% |
Depression | 22.2% | 26.8% |
Smoking | 18.2% | 27.9% |
Binge Drinking | 16.1% | 17.0% |
Obesity | 35.1% | 45.9% |
Disability Percentage | 25.0% | 20.0% |
Health Statistics Comparison: Kingston vs Laurelville
- In Laurelville, a higher percentage report poor mental health at 20.7% compared to 17.5% in Kingston.
- Higher depression rates are seen in Laurelville at 26.8% versus 22.2% in Kingston.
- Laurelville has a higher smoking rate at 27.9% compared to 18.2% in Kingston.
- More residents engage in binge drinking in Laurelville at 17.0% compared to 16.1% in Kingston.
- Laurelville has higher obesity rates at 45.9% compared to 35.1% in Kingston.
- Disability percentages are higher in Kingston at 25.0% compared to 20.0% in Laurelville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kingston | Laurelville |
---|---|---|
No Schooling | 1.9% (14) | 0.0% (Data is updating) |
High School Diploma | 19.1% (142) | 41.5% (210) |
Less than High School | 26.8% (199) | 18.2% (92) |
Bachelor's Degree and Higher | 3.1% (23) | 2.8% (14) |
Education Levels Comparison: Kingston vs Laurelville
- A higher percentage of residents in Kingston have no formal schooling at 1.9% compared to 0.0% in Laurelville.
- In Laurelville, the rate of residents with high school diplomas is higher at 41.5% compared to 19.1% in Kingston.
- More residents in Kingston have less than a high school education at 26.8% compared to 18.2% in Laurelville.
- A higher percentage of residents in Kingston hold a bachelor's degree or higher at 3.1% compared to 2.8% in Laurelville.
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.