Demographics details for Mc graw, NY vs Petaluma, CA
Population Overview
Compare main population characteristics in Mc graw, NY vs Petaluma, CA.
| Data | Mc graw | Petaluma |
|---|---|---|
| Population | 994 | 58,652 |
| Median Age | 32.0 years | 43.5 years |
| Median Income | $60,781 | $108,527 |
| Married Families | 38.0% | 44.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Mc graw vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 994 in Mc graw.
- The median age in Petaluma is higher at 43.5 years, compared to 32.0 years in Mc graw.
- Petaluma has a higher median income of $108,527, compared to $60,781 in Mc graw.
- In Petaluma, the percentage of married families is higher at 44.0%, compared to 38.0% in Mc graw.
- The poverty level is identical in both Mc graw and Petaluma at 7%.
- Petaluma has a higher unemployment rate at 3.6% compared to 3.5% in Mc graw.
Demographics
Demographics Mc graw vs Petaluma provide insight into the diversity of the communities to compare.
| Demographic | Mc graw | Petaluma |
|---|---|---|
| Black | Data is updating | 1 |
| White | 88 | 62 |
| Asian | Data is updating | 5 |
| Hispanic | 4 | 20 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mc graw vs Petaluma
- In Petaluma, the percentage of Black residents is higher at 1% compared to 0% in Mc graw.
- Mc graw has a higher percentage of White residents at 88% compared to 62% in Petaluma.
- In Petaluma, the Asian population stands at 5%, greater than 0% in Mc graw.
- Petaluma has a higher percentage of Hispanic residents at 20%, compared to 4% in Mc graw.
- The percentage of residents identifying as two or more races is higher in Petaluma at 11%, compared to 8% in Mc graw.
- In Petaluma, the percentage of American Indian residents is higher at 1%, compared to 0% in Mc graw.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mc graw | Petaluma |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.1% |
| Physical Health Not Good | 10.2% | 9.5% |
| Depression | 25.5% | 20.1% |
| Smoking | 18.6% | 10.5% |
| Binge Drinking | 19.1% | 20.4% |
| Obesity | 37.3% | 27.5% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Mc graw vs Petaluma
- More residents in Mc graw report poor mental health at 16.2% compared to 15.1% in Petaluma.
- Depression is more prevalent in Mc graw at 25.5% compared to 20.1% in Petaluma.
- Smoking is more prevalent in Mc graw at 18.6% compared to 10.5% in Petaluma.
- More residents engage in binge drinking in Petaluma at 20.4% compared to 19.1% in Mc graw.
- Obesity rates are higher in Mc graw at 37.3% compared to 27.5% in Petaluma.
- Disability percentages are higher in Mc graw at 14.0% 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 | Mc graw | Petaluma |
|---|---|---|
| No Schooling | 0.3% (3) | 1.0% (558) |
| High School Diploma | 27.1% (269) | 11.0% (6,434) |
| Less than High School | 15.1% (150) | 11.1% (6,496) |
| Bachelor's Degree and Higher | 8.8% (87) | 32.4% (18,996) |
Education Levels Comparison: Mc graw vs Petaluma
- In Petaluma, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Mc graw.
- A higher percentage of residents in Mc graw hold a high school diploma at 27.1% compared to 11.0% in Petaluma.
- More residents in Mc graw have less than a high school education at 15.1% 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 8.8% in Mc graw.
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.