Demographics details for South pasadena, CA vs Butler, MO
Population Overview
Compare main population characteristics in South pasadena, CA vs Butler, MO.
| Data | South pasadena | Butler |
|---|---|---|
| Population | 25,850 | 4,246 |
| Median Age | 40.6 years | 36.7 years |
| Median Income | $127,882 | $33,548 |
| Married Families | 45.0% | 35.0% |
| Poverty Level | 8% | 14% |
| Unemployment Rate | 5.1 | 4.3 |
Population Comparison: South pasadena vs Butler
- In South pasadena, the population is higher at 25,850, compared to 4,246 in Butler.
- Residents in South pasadena have a higher median age of 40.6 years compared to 36.7 years in Butler.
- South pasadena has a higher median income of $127,882 compared to $33,548 in Butler.
- A higher percentage of married families is found in South pasadena at 45.0% compared to 35.0% in Butler.
- The poverty level is higher in Butler at 14%, compared to 8% in South pasadena.
- The unemployment rate in South pasadena is higher at 5.1%, compared to 4.3% in Butler.
Demographics
Demographics South pasadena vs Butler provide insight into the diversity of the communities to compare.
| Demographic | South pasadena | Butler |
|---|---|---|
| Black | 4 | 6 |
| White | 31 | 89 |
| Asian | 34 | 1 |
| Hispanic | 19 | 1 |
| Two or More Races | 12 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: South pasadena vs Butler
- In Butler, the percentage of Black residents is higher at 6% compared to 4% in South pasadena.
- The percentage of White residents is higher in Butler at 89% compared to 31% in South pasadena.
- The Asian population is larger in South pasadena at 34% compared to 1% in Butler.
- The Hispanic community is larger in South pasadena at 19% compared to 1% in Butler.
- More residents identify as two or more races in South pasadena at 12% compared to 3% in Butler.
- The percentage of American Indian residents is the same in both South pasadena and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South pasadena | Butler |
|---|---|---|
| Mental Health Not Good | 11.9% | 20.0% |
| Physical Health Not Good | 7.1% | 15.0% |
| Depression | 13.8% | 27.0% |
| Smoking | 6.3% | 26.2% |
| Binge Drinking | 15.3% | 16.4% |
| Obesity | 20.9% | 42.8% |
| Disability Percentage | 7.0% | 21.0% |
Health Statistics Comparison: South pasadena vs Butler
- In Butler, a higher percentage report poor mental health at 20.0% compared to 11.9% in South pasadena.
- Higher depression rates are seen in Butler at 27.0% versus 13.8% in South pasadena.
- Butler has a higher smoking rate at 26.2% compared to 6.3% in South pasadena.
- More residents engage in binge drinking in Butler at 16.4% compared to 15.3% in South pasadena.
- Butler has higher obesity rates at 42.8% compared to 20.9% in South pasadena.
- There is a higher percentage of disabled individuals in Butler at 21.0% compared to 7.0% in South pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South pasadena | Butler |
|---|---|---|
| No Schooling | 0.7% (177) | 0.7% (31) |
| High School Diploma | 4.3% (1,111) | 37.8% (1,605) |
| Less than High School | 3.0% (766) | 11.9% (505) |
| Bachelor's Degree and Higher | 53.2% (13,751) | 7.8% (330) |
Education Levels Comparison: South pasadena vs Butler
- The percentage of residents with no formal schooling is the same in both South pasadena and Butler at 0.7%.
- In Butler, the rate of residents with high school diplomas is higher at 37.8% compared to 4.3% in South pasadena.
- The percentage of residents with less than a high school education is higher in Butler at 11.9%, compared to 3.0% in South pasadena.
- A higher percentage of residents in South pasadena hold a bachelor's degree or higher at 53.2% compared to 7.8% in Butler.
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.