Demographics details for Dayton, OH vs Shasta lake, CA
Population Overview
Compare main population characteristics in Dayton, OH vs Shasta lake, CA.
| Data | Dayton | Shasta lake |
|---|---|---|
| Population | 135,944 | 10,335 |
| Median Age | 34.0 years | 38.8 years |
| Median Income | $41,443 | $54,490 |
| Married Families | 21.0% | 35.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.8 | 5.1 |
Population Comparison: Dayton vs Shasta lake
- In Dayton, the population is higher at 135,944, compared to 10,335 in Shasta lake.
- The median age in Shasta lake is higher at 38.8 years, compared to 34.0 years in Dayton.
- Shasta lake has a higher median income of $54,490, compared to $41,443 in Dayton.
- In Shasta lake, the percentage of married families is higher at 35.0%, compared to 21.0% in Dayton.
- Dayton has a higher poverty level at 18% compared to 12% in Shasta lake.
- The unemployment rate in Dayton is higher at 6.8%, compared to 5.1% in Shasta lake.
Demographics
Demographics Dayton vs Shasta lake provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Shasta lake |
|---|---|---|
| Black | 38 | Data is updating |
| White | 50 | 74 |
| Asian | 1 | 1 |
| Hispanic | 5 | 12 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Dayton vs Shasta lake
- A higher percentage of Black residents are in Dayton at 38% compared to 0% in Shasta lake.
- The percentage of White residents is higher in Shasta lake at 74% compared to 50% in Dayton.
- Both Dayton and Shasta lake have the same percentage of Asian residents at 1%.
- Shasta lake has a higher percentage of Hispanic residents at 12%, compared to 5% in Dayton.
- The percentage of residents identifying as two or more races is higher in Shasta lake at 11%, compared to 6% in Dayton.
- In Shasta lake, the percentage of American Indian residents is higher at 2%, compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Shasta lake |
|---|---|---|
| Mental Health Not Good | 21.9% | 19.3% |
| Physical Health Not Good | 16.5% | 13.2% |
| Depression | 26.5% | 22.9% |
| Smoking | 26.0% | 17.4% |
| Binge Drinking | 15.2% | 17.5% |
| Obesity | 47.6% | 32.5% |
| Disability Percentage | 18.0% | 25.0% |
Health Statistics Comparison: Dayton vs Shasta lake
- More residents in Dayton report poor mental health at 21.9% compared to 19.3% in Shasta lake.
- Depression is more prevalent in Dayton at 26.5% compared to 22.9% in Shasta lake.
- Smoking is more prevalent in Dayton at 26.0% compared to 17.4% in Shasta lake.
- More residents engage in binge drinking in Shasta lake at 17.5% compared to 15.2% in Dayton.
- Obesity rates are higher in Dayton at 47.6% compared to 32.5% in Shasta lake.
- There is a higher percentage of disabled individuals in Shasta lake at 25.0% compared to 18.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Shasta lake |
|---|---|---|
| No Schooling | 0.9% (1,157) | 0.6% (67) |
| High School Diploma | 16.3% (22,101) | 17.0% (1,759) |
| Less than High School | 13.9% (18,900) | 11.4% (1,176) |
| Bachelor's Degree and Higher | 12.7% (17,260) | 9.2% (946) |
Education Levels Comparison: Dayton vs Shasta lake
- A higher percentage of residents in Dayton have no formal schooling at 0.9% compared to 0.6% in Shasta lake.
- In Shasta lake, the rate of residents with high school diplomas is higher at 17.0% compared to 16.3% in Dayton.
- More residents in Dayton have less than a high school education at 13.9% compared to 11.4% in Shasta lake.
- A higher percentage of residents in Dayton hold a bachelor's degree or higher at 12.7% compared to 9.2% in Shasta lake.
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.