Demographics details for Petaluma, CA vs Columbia, SC
Population Overview
Compare main population characteristics in Petaluma, CA vs Columbia, SC.
| Data | Petaluma | Columbia |
|---|---|---|
| Population | 58,652 | 139,698 |
| Median Age | 43.5 years | 28.3 years |
| Median Income | $108,527 | $54,095 |
| Married Families | 44.0% | 25.0% |
| Poverty Level | 7% | 17% |
| Unemployment Rate | 3.6 | 5.8 |
Population Comparison: Petaluma vs Columbia
- The population in Columbia is higher at 139,698, compared to 58,652 in Petaluma.
- Residents in Petaluma have a higher median age of 43.5 years compared to 28.3 years in Columbia.
- Petaluma has a higher median income of $108,527 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Petaluma at 44.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 7% in Petaluma.
- Columbia has a higher unemployment rate at 5.8% compared to 3.6% in Petaluma.
Demographics
Demographics Petaluma vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Petaluma | Columbia |
|---|---|---|
| Black | 1 | 40 |
| White | 62 | 48 |
| Asian | 5 | 2 |
| Hispanic | 20 | 5 |
| Two or More Races | 11 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Petaluma vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 1% in Petaluma.
- Petaluma has a higher percentage of White residents at 62% compared to 48% in Columbia.
- The Asian population is larger in Petaluma at 5% compared to 2% in Columbia.
- The Hispanic community is larger in Petaluma at 20% compared to 5% in Columbia.
- More residents identify as two or more races in Petaluma at 11% compared to 5% in Columbia.
- A greater percentage of American Indian residents live in Petaluma at 1% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Petaluma | Columbia |
|---|---|---|
| Mental Health Not Good | 15.1% | 18.6% |
| Physical Health Not Good | 9.5% | 13.1% |
| Depression | 20.1% | 20.8% |
| Smoking | 10.5% | 19.1% |
| Binge Drinking | 20.4% | 18.1% |
| Obesity | 27.5% | 39.0% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Petaluma vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 15.1% in Petaluma.
- Higher depression rates are seen in Columbia at 20.8% versus 20.1% in Petaluma.
- Columbia has a higher smoking rate at 19.1% compared to 10.5% in Petaluma.
- Binge drinking is more common in Petaluma at 20.4% compared to 18.1% in Columbia.
- Columbia has higher obesity rates at 39.0% compared to 27.5% in Petaluma.
- There is a higher percentage of disabled individuals in Columbia at 11.0% 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 | Petaluma | Columbia |
|---|---|---|
| No Schooling | 1.0% (558) | 0.4% (555) |
| High School Diploma | 11.0% (6,434) | 8.4% (11,712) |
| Less than High School | 11.1% (6,496) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 32.4% (18,996) | 24.7% (34,575) |
Education Levels Comparison: Petaluma vs Columbia
- A higher percentage of residents in Petaluma have no formal schooling at 1.0% compared to 0.4% in Columbia.
- A higher percentage of residents in Petaluma hold a high school diploma at 11.0% compared to 8.4% in Columbia.
- More residents in Petaluma have less than a high school education at 11.1% compared to 5.9% in Columbia.
- A higher percentage of residents in Petaluma hold a bachelor's degree or higher at 32.4% compared to 24.7% in Columbia.
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.