Demographics details for Lawrence, MA vs Gibsonburg, OH
Population Overview
Compare main population characteristics in Lawrence, MA vs Gibsonburg, OH.
| Data | Lawrence | Gibsonburg |
|---|---|---|
| Population | 87,954 | 2,436 |
| Median Age | 31.5 years | 38.7 years |
| Median Income | $53,977 | $67,279 |
| Married Families | 26.0% | 44.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 7.1 | 4.3 |
Population Comparison: Lawrence vs Gibsonburg
- In Lawrence, the population is higher at 87,954, compared to 2,436 in Gibsonburg.
- The median age in Gibsonburg is higher at 38.7 years, compared to 31.5 years in Lawrence.
- Gibsonburg has a higher median income of $67,279, compared to $53,977 in Lawrence.
- In Gibsonburg, the percentage of married families is higher at 44.0%, compared to 26.0% in Lawrence.
- Lawrence has a higher poverty level at 15% compared to 10% in Gibsonburg.
- The unemployment rate in Lawrence is higher at 7.1%, compared to 4.3% in Gibsonburg.
Demographics
Demographics Lawrence vs Gibsonburg provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Gibsonburg |
|---|---|---|
| Black | 5 | 2 |
| White | -4 | 79 |
| Asian | 2 | Data is updating |
| Hispanic | 82 | 10 |
| Two or More Races | 15 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lawrence vs Gibsonburg
- A higher percentage of Black residents are in Lawrence at 5% compared to 2% in Gibsonburg.
- The percentage of White residents is higher in Gibsonburg at 79% compared to -4% in Lawrence.
- The Asian population is larger in Lawrence at 2% compared to 0% in Gibsonburg.
- The Hispanic community is larger in Lawrence at 82% compared to 10% in Gibsonburg.
- More residents identify as two or more races in Lawrence at 15% compared to 9% in Gibsonburg.
- The percentage of American Indian residents is the same in both Lawrence and Gibsonburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Gibsonburg |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.6% |
| Physical Health Not Good | 14.2% | 12.3% |
| Depression | 22.4% | 23.0% |
| Smoking | 17.3% | 21.9% |
| Binge Drinking | 14.5% | 18.4% |
| Obesity | 37.4% | 42.4% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Lawrence vs Gibsonburg
- More residents in Lawrence report poor mental health at 18.9% compared to 17.6% in Gibsonburg.
- Higher depression rates are seen in Gibsonburg at 23.0% versus 22.4% in Lawrence.
- Gibsonburg has a higher smoking rate at 21.9% compared to 17.3% in Lawrence.
- More residents engage in binge drinking in Gibsonburg at 18.4% compared to 14.5% in Lawrence.
- Gibsonburg has higher obesity rates at 42.4% compared to 37.4% in Lawrence.
- Disability percentages are higher in Lawrence at 14.0% compared to 11.0% in Gibsonburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lawrence | Gibsonburg |
|---|---|---|
| No Schooling | 2.7% (2,366) | 0.2% (4) |
| High School Diploma | 18.6% (16,316) | 35.6% (867) |
| Less than High School | 34.1% (29,963) | 5.1% (125) |
| Bachelor's Degree and Higher | 9.2% (8,067) | 11.3% (275) |
Education Levels Comparison: Lawrence vs Gibsonburg
- A higher percentage of residents in Lawrence have no formal schooling at 2.7% compared to 0.2% in Gibsonburg.
- In Gibsonburg, the rate of residents with high school diplomas is higher at 35.6% compared to 18.6% in Lawrence.
- More residents in Lawrence have less than a high school education at 34.1% compared to 5.1% in Gibsonburg.
- In Gibsonburg, a larger share of residents have a bachelor's degree or higher at 11.3% compared to 9.2% in Lawrence.
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.