Demographics details for Petaluma, CA vs Norton, KS
Population Overview
Compare main population characteristics in Petaluma, CA vs Norton, KS.
| Data | Petaluma | Norton |
|---|---|---|
| Population | 58,652 | 5,301 |
| Median Age | 43.5 years | 40.4 years |
| Median Income | $108,527 | $52,710 |
| Married Families | 44.0% | 37.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 3.6 | 2.8 |
Population Comparison: Petaluma vs Norton
- In Petaluma, the population is higher at 58,652, compared to 5,301 in Norton.
- Residents in Petaluma have a higher median age of 43.5 years compared to 40.4 years in Norton.
- Petaluma has a higher median income of $108,527 compared to $52,710 in Norton.
- A higher percentage of married families is found in Petaluma at 44.0% compared to 37.0% in Norton.
- The poverty level is higher in Norton at 10%, compared to 7% in Petaluma.
- The unemployment rate in Petaluma is higher at 3.6%, compared to 2.8% in Norton.
Demographics
Demographics Petaluma vs Norton provide insight into the diversity of the communities to compare.
| Demographic | Petaluma | Norton |
|---|---|---|
| Black | 1 | 3 |
| White | 62 | 85 |
| Asian | 5 | 1 |
| Hispanic | 20 | 6 |
| Two or More Races | 11 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Petaluma vs Norton
- In Norton, the percentage of Black residents is higher at 3% compared to 1% in Petaluma.
- The percentage of White residents is higher in Norton at 85% compared to 62% in Petaluma.
- The Asian population is larger in Petaluma at 5% compared to 1% in Norton.
- The Hispanic community is larger in Petaluma at 20% compared to 6% in Norton.
- More residents identify as two or more races in Petaluma at 11% compared to 4% in Norton.
- The percentage of American Indian residents is the same in both Petaluma and Norton at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Petaluma | Norton |
|---|---|---|
| Mental Health Not Good | 15.1% | 15.1% |
| Physical Health Not Good | 9.5% | 9.9% |
| Depression | 20.1% | 20.2% |
| Smoking | 10.5% | 18.1% |
| Binge Drinking | 20.4% | 20.3% |
| Obesity | 27.5% | 37.7% |
| Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Petaluma vs Norton
- Poor mental health levels are equal in both Petaluma and Norton at 15.1%.
- Higher depression rates are seen in Norton at 20.2% versus 20.1% in Petaluma.
- Norton has a higher smoking rate at 18.1% compared to 10.5% in Petaluma.
- Binge drinking is more common in Petaluma at 20.4% compared to 20.3% in Norton.
- Norton has higher obesity rates at 37.7% compared to 27.5% in Petaluma.
- There is a higher percentage of disabled individuals in Norton at 12.0% 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 | Norton |
|---|---|---|
| No Schooling | 1.0% (558) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (6,434) | 17.6% (934) |
| Less than High School | 11.1% (6,496) | 13.0% (687) |
| Bachelor's Degree and Higher | 32.4% (18,996) | 15.7% (830) |
Education Levels Comparison: Petaluma vs Norton
- A higher percentage of residents in Petaluma have no formal schooling at 1.0% compared to 0.0% in Norton.
- In Norton, the rate of residents with high school diplomas is higher at 17.6% compared to 11.0% in Petaluma.
- The percentage of residents with less than a high school education is higher in Norton at 13.0%, compared to 11.1% in Petaluma.
- A higher percentage of residents in Petaluma hold a bachelor's degree or higher at 32.4% compared to 15.7% in Norton.
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.