Demographics details for Giddings, TX vs Kelseyville, CA
Population Overview
Compare main population characteristics in Giddings, TX vs Kelseyville, CA.
| Data | Giddings | Kelseyville |
|---|---|---|
| Population | 5,129 | 3,828 |
| Median Age | 40.2 years | 29.4 years |
| Median Income | $63,529 | $42,880 |
| Married Families | 34.0% | 25.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 5.1 | 4.2 |
Population Comparison: Giddings vs Kelseyville
- In Giddings, the population is higher at 5,129, compared to 3,828 in Kelseyville.
- Residents in Giddings have a higher median age of 40.2 years compared to 29.4 years in Kelseyville.
- Giddings has a higher median income of $63,529 compared to $42,880 in Kelseyville.
- A higher percentage of married families is found in Giddings at 34.0% compared to 25.0% in Kelseyville.
- The poverty level is higher in Kelseyville at 15%, compared to 10% in Giddings.
- The unemployment rate in Giddings is higher at 5.1%, compared to 4.2% in Kelseyville.
Demographics
Demographics Giddings vs Kelseyville provide insight into the diversity of the communities to compare.
| Demographic | Giddings | Kelseyville |
|---|---|---|
| Black | 11 | 2 |
| White | 24 | 14 |
| Asian | 1 | Data is updating |
| Hispanic | 48 | 68 |
| Two or More Races | 12 | 16 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Giddings vs Kelseyville
- A higher percentage of Black residents are in Giddings at 11% compared to 2% in Kelseyville.
- Giddings has a higher percentage of White residents at 24% compared to 14% in Kelseyville.
- The Asian population is larger in Giddings at 1% compared to 0% in Kelseyville.
- Kelseyville has a higher percentage of Hispanic residents at 68%, compared to 48% in Giddings.
- The percentage of residents identifying as two or more races is higher in Kelseyville at 16%, compared to 12% in Giddings.
- A greater percentage of American Indian residents live in Giddings at 4% compared to 0% in Kelseyville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Giddings | Kelseyville |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.2% |
| Physical Health Not Good | 14.0% | 13.6% |
| Depression | 23.2% | 21.5% |
| Smoking | 19.6% | 16.1% |
| Binge Drinking | 16.8% | 16.5% |
| Obesity | 40.0% | 34.1% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Giddings vs Kelseyville
- More residents in Giddings report poor mental health at 18.6% compared to 18.2% in Kelseyville.
- Depression is more prevalent in Giddings at 23.2% compared to 21.5% in Kelseyville.
- Smoking is more prevalent in Giddings at 19.6% compared to 16.1% in Kelseyville.
- Binge drinking is more common in Giddings at 16.8% compared to 16.5% in Kelseyville.
- Obesity rates are higher in Giddings at 40.0% compared to 34.1% in Kelseyville.
- There is a higher percentage of disabled individuals in Kelseyville at 15.0% compared to 10.0% in Giddings.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Giddings | Kelseyville |
|---|---|---|
| No Schooling | 1.0% (53) | 1.4% (54) |
| High School Diploma | 26.1% (1,341) | 19.0% (726) |
| Less than High School | 22.3% (1,143) | 32.8% (1,256) |
| Bachelor's Degree and Higher | 8.8% (453) | 7.2% (275) |
Education Levels Comparison: Giddings vs Kelseyville
- In Kelseyville, a larger percentage of residents lack formal schooling at 1.4% compared to 1.0% in Giddings.
- A higher percentage of residents in Giddings hold a high school diploma at 26.1% compared to 19.0% in Kelseyville.
- The percentage of residents with less than a high school education is higher in Kelseyville at 32.8%, compared to 22.3% in Giddings.
- A higher percentage of residents in Giddings hold a bachelor's degree or higher at 8.8% compared to 7.2% in Kelseyville.
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.