Demographics details for Dacula, GA vs Klamath falls, OR
Population Overview
Compare main population characteristics in Dacula, GA vs Klamath falls, OR.
| Data | Dacula | Klamath falls |
|---|---|---|
| Population | 7,460 | 21,977 |
| Median Age | 35.0 years | 35.1 years |
| Median Income | $81,322 | $46,695 |
| Married Families | 39.0% | 31.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Dacula vs Klamath falls
- The population in Klamath falls is higher at 21,977, compared to 7,460 in Dacula.
- The median age in Klamath falls is higher at 35.1 years, compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322 compared to $46,695 in Klamath falls.
- A higher percentage of married families is found in Dacula at 39.0% compared to 31.0% in Klamath falls.
- The poverty level is higher in Klamath falls at 18%, compared to 5% in Dacula.
- Klamath falls has a higher unemployment rate at 5.2% compared to 3.2% in Dacula.
Demographics
Demographics Dacula vs Klamath falls provide insight into the diversity of the communities to compare.
| Demographic | Dacula | Klamath falls |
|---|---|---|
| Black | 23 | 1 |
| White | 41 | 69 |
| Asian | 7 | 1 |
| Hispanic | 19 | 15 |
| Two or More Races | 9 | 11 |
| American Indian | 1 | 3 |
Demographics Comparison: Dacula vs Klamath falls
- A higher percentage of Black residents are in Dacula at 23% compared to 1% in Klamath falls.
- The percentage of White residents is higher in Klamath falls at 69% compared to 41% in Dacula.
- The Asian population is larger in Dacula at 7% compared to 1% in Klamath falls.
- The Hispanic community is larger in Dacula at 19% compared to 15% in Klamath falls.
- The percentage of residents identifying as two or more races is higher in Klamath falls at 11%, compared to 9% in Dacula.
- In Klamath falls, the percentage of American Indian residents is higher at 3%, compared to 1% in Dacula.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dacula | Klamath falls |
|---|---|---|
| Mental Health Not Good | 14.4% | 20.2% |
| Physical Health Not Good | 9.5% | 13.4% |
| Depression | 19.1% | 28.4% |
| Smoking | 12.9% | 19.9% |
| Binge Drinking | 16.5% | 15.8% |
| Obesity | 29.7% | 35.9% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Dacula vs Klamath falls
- In Klamath falls, a higher percentage report poor mental health at 20.2% compared to 14.4% in Dacula.
- Higher depression rates are seen in Klamath falls at 28.4% versus 19.1% in Dacula.
- Klamath falls has a higher smoking rate at 19.9% compared to 12.9% in Dacula.
- Binge drinking is more common in Dacula at 16.5% compared to 15.8% in Klamath falls.
- Klamath falls has higher obesity rates at 35.9% compared to 29.7% in Dacula.
- There is a higher percentage of disabled individuals in Klamath falls at 20.0% compared to 16.0% in Dacula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dacula | Klamath falls |
|---|---|---|
| No Schooling | 4.8% (355) | 0.9% (192) |
| High School Diploma | 8.0% (599) | 16.0% (3,508) |
| Less than High School | 17.0% (1,267) | 15.5% (3,401) |
| Bachelor's Degree and Higher | 13.2% (988) | 14.4% (3,175) |
Education Levels Comparison: Dacula vs Klamath falls
- A higher percentage of residents in Dacula have no formal schooling at 4.8% compared to 0.9% in Klamath falls.
- In Klamath falls, the rate of residents with high school diplomas is higher at 16.0% compared to 8.0% in Dacula.
- More residents in Dacula have less than a high school education at 17.0% compared to 15.5% in Klamath falls.
- In Klamath falls, a larger share of residents have a bachelor's degree or higher at 14.4% compared to 13.2% in Dacula.
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.