Demographics details for Okauchee, WI vs Petaluma, CA
Population Overview
Compare main population characteristics in Okauchee, WI vs Petaluma, CA.
Data | Okauchee | Petaluma |
---|---|---|
Population | 4,690 | 58,652 |
Median Age | 50.8 years | 43.5 years |
Median Income | $128,785 | $108,527 |
Married Families | 62.0% | 44.0% |
Poverty Level | 2% | 7% |
Unemployment Rate | 3.1 | 3.6 |
Population Comparison: Okauchee vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 4,690 in Okauchee.
- Residents in Okauchee have a higher median age of 50.8 years compared to 43.5 years in Petaluma.
- Okauchee has a higher median income of $128,785 compared to $108,527 in Petaluma.
- A higher percentage of married families is found in Okauchee at 62.0% compared to 44.0% in Petaluma.
- The poverty level is higher in Petaluma at 7%, compared to 2% in Okauchee.
- Petaluma has a higher unemployment rate at 3.6% compared to 3.1% in Okauchee.
Demographics
Demographics Okauchee vs Petaluma provide insight into the diversity of the communities to compare.
Demographic | Okauchee | Petaluma |
---|---|---|
Black | 1 | 1 |
White | 93 | 62 |
Asian | 1 | 5 |
Hispanic | 2 | 20 |
Two or More Races | 2 | 11 |
American Indian | 1 | 1 |
Demographics Comparison: Okauchee vs Petaluma
- The percentage of Black residents is the same in both Okauchee and Petaluma at 1%.
- Okauchee has a higher percentage of White residents at 93% compared to 62% in Petaluma.
- In Petaluma, the Asian population stands at 5%, greater than 1% in Okauchee.
- Petaluma has a higher percentage of Hispanic residents at 20%, compared to 2% in Okauchee.
- The percentage of residents identifying as two or more races is higher in Petaluma at 11%, compared to 2% in Okauchee.
- The percentage of American Indian residents is the same in both Okauchee and Petaluma at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Okauchee | Petaluma |
---|---|---|
Mental Health Not Good | 12.3% | 15.1% |
Physical Health Not Good | 7.3% | 9.5% |
Depression | 20.0% | 20.1% |
Smoking | 11.0% | 10.5% |
Binge Drinking | 26.0% | 20.4% |
Obesity | 33.2% | 27.5% |
Disability Percentage | 6.0% | 10.0% |
Health Statistics Comparison: Okauchee vs Petaluma
- In Petaluma, a higher percentage report poor mental health at 15.1% compared to 12.3% in Okauchee.
- Higher depression rates are seen in Petaluma at 20.1% versus 20.0% in Okauchee.
- Smoking is more prevalent in Okauchee at 11.0% compared to 10.5% in Petaluma.
- Binge drinking is more common in Okauchee at 26.0% compared to 20.4% in Petaluma.
- Obesity rates are higher in Okauchee at 33.2% compared to 27.5% in Petaluma.
- There is a higher percentage of disabled individuals in Petaluma at 10.0% compared to 6.0% in Okauchee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Okauchee | Petaluma |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.0% (558) |
High School Diploma | 15.1% (708) | 11.0% (6,434) |
Less than High School | 1.8% (84) | 11.1% (6,496) |
Bachelor's Degree and Higher | 36.0% (1,687) | 32.4% (18,996) |
Education Levels Comparison: Okauchee vs Petaluma
- In Petaluma, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Okauchee.
- A higher percentage of residents in Okauchee hold a high school diploma at 15.1% compared to 11.0% in Petaluma.
- The percentage of residents with less than a high school education is higher in Petaluma at 11.1%, compared to 1.8% in Okauchee.
- A higher percentage of residents in Okauchee hold a bachelor's degree or higher at 36.0% compared to 32.4% in Petaluma.
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.