Demographics details for Raymondville, MO vs Goleta, CA
Population Overview
Compare main population characteristics in Raymondville, MO vs Goleta, CA.
| Data | Raymondville | Goleta |
|---|---|---|
| Population | 364 | 32,432 |
| Median Age | 34.3 years | 35.0 years |
| Median Income | $31,250 | $113,889 |
| Married Families | 58.0% | 37.0% |
| Poverty Level | Data is updating | 8% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Raymondville vs Goleta
- The population in Goleta is higher at 32,432, compared to 364 in Raymondville.
- The median age in Goleta is higher at 35.0 years, compared to 34.3 years in Raymondville.
- Goleta has a higher median income of $113,889, compared to $31,250 in Raymondville.
- A higher percentage of married families is found in Raymondville at 58.0% compared to 37.0% in Goleta.
- The poverty level is higher in Goleta at 8%, compared to 0% in Raymondville.
- The unemployment rate in Raymondville is higher at 3.5%, compared to 3.2% in Goleta.
Demographics
Demographics Raymondville vs Goleta provide insight into the diversity of the communities to compare.
| Demographic | Raymondville | Goleta |
|---|---|---|
| Black | Data is updating | 3 |
| White | 96 | 34 |
| Asian | Data is updating | 11 |
| Hispanic | Data is updating | 37 |
| Two or More Races | 4 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Raymondville vs Goleta
- In Goleta, the percentage of Black residents is higher at 3% compared to 0% in Raymondville.
- Raymondville has a higher percentage of White residents at 96% compared to 34% in Goleta.
- In Goleta, the Asian population stands at 11%, greater than 0% in Raymondville.
- Goleta has a higher percentage of Hispanic residents at 37%, compared to 0% in Raymondville.
- The percentage of residents identifying as two or more races is higher in Goleta at 14%, compared to 4% in Raymondville.
- In Goleta, the percentage of American Indian residents is higher at 1%, compared to 0% in Raymondville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Raymondville | Goleta |
|---|---|---|
| Mental Health Not Good | 21.3% | 13.9% |
| Physical Health Not Good | 15.9% | 9.2% |
| Depression | 27.1% | 18.1% |
| Smoking | 27.0% | 9.8% |
| Binge Drinking | 16.3% | 17.0% |
| Obesity | 42.8% | 26.7% |
| Disability Percentage | 57.0% | 8.0% |
Health Statistics Comparison: Raymondville vs Goleta
- More residents in Raymondville report poor mental health at 21.3% compared to 13.9% in Goleta.
- Depression is more prevalent in Raymondville at 27.1% compared to 18.1% in Goleta.
- Smoking is more prevalent in Raymondville at 27.0% compared to 9.8% in Goleta.
- More residents engage in binge drinking in Goleta at 17.0% compared to 16.3% in Raymondville.
- Obesity rates are higher in Raymondville at 42.8% compared to 26.7% in Goleta.
- Disability percentages are higher in Raymondville at 57.0% compared to 8.0% in Goleta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Raymondville | Goleta |
|---|---|---|
| No Schooling | 0.8% (3) | 2.6% (836) |
| High School Diploma | 28.3% (103) | 7.0% (2,263) |
| Less than High School | 34.1% (124) | 15.7% (5,090) |
| Bachelor's Degree and Higher | 8.2% (30) | 32.6% (10,582) |
Education Levels Comparison: Raymondville vs Goleta
- In Goleta, a larger percentage of residents lack formal schooling at 2.6% compared to 0.8% in Raymondville.
- A higher percentage of residents in Raymondville hold a high school diploma at 28.3% compared to 7.0% in Goleta.
- More residents in Raymondville have less than a high school education at 34.1% compared to 15.7% in Goleta.
- In Goleta, a larger share of residents have a bachelor's degree or higher at 32.6% compared to 8.2% in Raymondville.
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.