Demographics details for Lawrence, NY vs Dayton, OH
Population Overview
Compare main population characteristics in Lawrence, NY vs Dayton, OH.
| Data | Lawrence | Dayton |
|---|---|---|
| Population | 6,745 | 135,944 |
| Median Age | 32.5 years | 34.0 years |
| Median Income | $169,029 | $41,443 |
| Married Families | 45.0% | 21.0% |
| Poverty Level | 2% | 18% |
| Unemployment Rate | 5.0 | 6.8 |
Population Comparison: Lawrence vs Dayton
- The population in Dayton is higher at 135,944, compared to 6,745 in Lawrence.
- The median age in Dayton is higher at 34.0 years, compared to 32.5 years in Lawrence.
- Lawrence has a higher median income of $169,029 compared to $41,443 in Dayton.
- A higher percentage of married families is found in Lawrence at 45.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 2% in Lawrence.
- Dayton has a higher unemployment rate at 6.8% compared to 5.0% in Lawrence.
Demographics
Demographics Lawrence vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Lawrence | Dayton |
|---|---|---|
| Black | Data is updating | 38 |
| White | 95 | 50 |
| Asian | 1 | 1 |
| Hispanic | 2 | 5 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lawrence vs Dayton
- In Dayton, the percentage of Black residents is higher at 38% compared to 0% in Lawrence.
- Lawrence has a higher percentage of White residents at 95% compared to 50% in Dayton.
- Both Lawrence and Dayton have the same percentage of Asian residents at 1%.
- Dayton has a higher percentage of Hispanic residents at 5%, compared to 2% in Lawrence.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 2% in Lawrence.
- The percentage of American Indian residents is the same in both Lawrence and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lawrence | Dayton |
|---|---|---|
| Mental Health Not Good | 12.6% | 21.9% |
| Physical Health Not Good | 7.1% | 16.5% |
| Depression | 17.3% | 26.5% |
| Smoking | 9.0% | 26.0% |
| Binge Drinking | 19.1% | 15.2% |
| Obesity | 25.3% | 47.6% |
| Disability Percentage | 6.0% | 18.0% |
Health Statistics Comparison: Lawrence vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 12.6% in Lawrence.
- Higher depression rates are seen in Dayton at 26.5% versus 17.3% in Lawrence.
- Dayton has a higher smoking rate at 26.0% compared to 9.0% in Lawrence.
- Binge drinking is more common in Lawrence at 19.1% compared to 15.2% in Dayton.
- Dayton has higher obesity rates at 47.6% compared to 25.3% in Lawrence.
- There is a higher percentage of disabled individuals in Dayton at 18.0% compared to 6.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lawrence | Dayton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (1,157) |
| High School Diploma | 4.2% (283) | 16.3% (22,101) |
| Less than High School | 3.7% (252) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 41.9% (2,824) | 12.7% (17,260) |
Education Levels Comparison: Lawrence vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Lawrence.
- In Dayton, the rate of residents with high school diplomas is higher at 16.3% compared to 4.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 3.7% in Lawrence.
- A higher percentage of residents in Lawrence hold a bachelor's degree or higher at 41.9% compared to 12.7% in Dayton.
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.