Demographics details for Santa paula, CA vs Macon, MO
Population Overview
Compare main population characteristics in Santa paula, CA vs Macon, MO.
| Data | Santa paula | Macon |
|---|---|---|
| Population | 31,018 | 15,049 |
| Median Age | 34.6 years | 43.0 years |
| Median Income | $72,014 | $54,113 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | 15% | 14% |
| Unemployment Rate | 5.6 | 4.2 |
Population Comparison: Santa paula vs Macon
- In Santa paula, the population is higher at 31,018, compared to 15,049 in Macon.
- The median age in Macon is higher at 43.0 years, compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014 compared to $54,113 in Macon.
- In Macon, the percentage of married families is higher at 43.0%, compared to 36.0% in Santa paula.
- Santa paula has a higher poverty level at 15% compared to 14% in Macon.
- The unemployment rate in Santa paula is higher at 5.6%, compared to 4.2% in Macon.
Demographics
Demographics Santa paula vs Macon provide insight into the diversity of the communities to compare.
| Demographic | Santa paula | Macon |
|---|---|---|
| Black | 1 | 2 |
| White | 2 | 92 |
| Asian | 1 | 1 |
| Hispanic | 81 | 2 |
| Two or More Races | 13 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Santa paula vs Macon
- In Macon, the percentage of Black residents is higher at 2% compared to 1% in Santa paula.
- The percentage of White residents is higher in Macon at 92% compared to 2% in Santa paula.
- Both Santa paula and Macon have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Santa paula at 81% compared to 2% in Macon.
- More residents identify as two or more races in Santa paula at 13% compared to 3% in Macon.
- A greater percentage of American Indian residents live in Santa paula at 2% compared to 0% in Macon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa paula | Macon |
|---|---|---|
| Mental Health Not Good | 16.2% | 17.8% |
| Physical Health Not Good | 13.5% | 12.7% |
| Depression | 17.9% | 24.4% |
| Smoking | 13.4% | 21.8% |
| Binge Drinking | 15.6% | 18.7% |
| Obesity | 31.5% | 41.6% |
| Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Santa paula vs Macon
- In Macon, a higher percentage report poor mental health at 17.8% compared to 16.2% in Santa paula.
- Higher depression rates are seen in Macon at 24.4% versus 17.9% in Santa paula.
- Macon has a higher smoking rate at 21.8% compared to 13.4% in Santa paula.
- More residents engage in binge drinking in Macon at 18.7% compared to 15.6% in Santa paula.
- Macon has higher obesity rates at 41.6% compared to 31.5% in Santa paula.
- There is a higher percentage of disabled individuals in Macon at 17.0% compared to 12.0% in Santa paula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa paula | Macon |
|---|---|---|
| No Schooling | 2.9% (907) | 0.3% (46) |
| High School Diploma | 12.8% (3,980) | 27.6% (4,161) |
| Less than High School | 43.7% (13,547) | 11.8% (1,769) |
| Bachelor's Degree and Higher | 8.6% (2,653) | 12.1% (1,823) |
Education Levels Comparison: Santa paula vs Macon
- A higher percentage of residents in Santa paula have no formal schooling at 2.9% compared to 0.3% in Macon.
- In Macon, the rate of residents with high school diplomas is higher at 27.6% compared to 12.8% in Santa paula.
- More residents in Santa paula have less than a high school education at 43.7% compared to 11.8% in Macon.
- In Macon, a larger share of residents have a bachelor's degree or higher at 12.1% compared to 8.6% in Santa paula.
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.