Demographics details for Colquitt, GA vs Petaluma, CA
Population Overview
Compare main population characteristics in Colquitt, GA vs Petaluma, CA.
| Data | Colquitt | Petaluma |
|---|---|---|
| Population | 45,762 | 58,652 |
| Median Age | 37.1 years | 43.5 years |
| Median Income | $47,235 | $108,527 |
| Married Families | 33.0% | 44.0% |
| Poverty Level | 22% | 7% |
| Unemployment Rate | 3.7 | 3.6 |
Population Comparison: Colquitt vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 45,762 in Colquitt.
- The median age in Petaluma is higher at 43.5 years, compared to 37.1 years in Colquitt.
- Petaluma has a higher median income of $108,527, compared to $47,235 in Colquitt.
- In Petaluma, the percentage of married families is higher at 44.0%, compared to 33.0% in Colquitt.
- Colquitt has a higher poverty level at 22% compared to 7% in Petaluma.
- The unemployment rate in Colquitt is higher at 3.7%, compared to 3.6% in Petaluma.
Demographics
Demographics Colquitt vs Petaluma provide insight into the diversity of the communities to compare.
| Demographic | Colquitt | Petaluma |
|---|---|---|
| Black | 23 | 1 |
| White | 51 | 62 |
| Asian | 1 | 5 |
| Hispanic | 20 | 20 |
| Two or More Races | 4 | 11 |
| American Indian | 1 | 1 |
Demographics Comparison: Colquitt vs Petaluma
- A higher percentage of Black residents are in Colquitt at 23% compared to 1% in Petaluma.
- The percentage of White residents is higher in Petaluma at 62% compared to 51% in Colquitt.
- In Petaluma, the Asian population stands at 5%, greater than 1% in Colquitt.
- The percentage of Hispanic residents is the same in both Colquitt and Petaluma at 20%.
- The percentage of residents identifying as two or more races is higher in Petaluma at 11%, compared to 4% in Colquitt.
- The percentage of American Indian residents is the same in both Colquitt and Petaluma at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Colquitt | Petaluma |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.1% |
| Physical Health Not Good | 15.3% | 9.5% |
| Depression | 22.4% | 20.1% |
| Smoking | 22.2% | 10.5% |
| Binge Drinking | 13.7% | 20.4% |
| Obesity | 41.8% | 27.5% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Colquitt vs Petaluma
- More residents in Colquitt report poor mental health at 18.9% compared to 15.1% in Petaluma.
- Depression is more prevalent in Colquitt at 22.4% compared to 20.1% in Petaluma.
- Smoking is more prevalent in Colquitt at 22.2% compared to 10.5% in Petaluma.
- More residents engage in binge drinking in Petaluma at 20.4% compared to 13.7% in Colquitt.
- Obesity rates are higher in Colquitt at 41.8% compared to 27.5% in Petaluma.
- Disability percentages are higher in Colquitt at 15.0% compared to 10.0% in Petaluma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Colquitt | Petaluma |
|---|---|---|
| No Schooling | 1.5% (678) | 1.0% (558) |
| High School Diploma | 20.2% (9,244) | 11.0% (6,434) |
| Less than High School | 26.2% (12,009) | 11.1% (6,496) |
| Bachelor's Degree and Higher | 9.6% (4,394) | 32.4% (18,996) |
Education Levels Comparison: Colquitt vs Petaluma
- A higher percentage of residents in Colquitt have no formal schooling at 1.5% compared to 1.0% in Petaluma.
- A higher percentage of residents in Colquitt hold a high school diploma at 20.2% compared to 11.0% in Petaluma.
- More residents in Colquitt have less than a high school education at 26.2% compared to 11.1% in Petaluma.
- In Petaluma, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 9.6% in Colquitt.
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.