Demographics details for Temecula, CA vs Oceanside, NY
Population Overview
Compare main population characteristics in Temecula, CA vs Oceanside, NY.
| Data | Temecula | Oceanside |
|---|---|---|
| Population | 111,752 | 31,488 |
| Median Age | 36.2 years | 45.8 years |
| Median Income | $111,881 | $136,997 |
| Married Families | 43.0% | 50.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 4.4 | 3.2 |
Population Comparison: Temecula vs Oceanside
- In Temecula, the population is higher at 111,752, compared to 31,488 in Oceanside.
- The median age in Oceanside is higher at 45.8 years, compared to 36.2 years in Temecula.
- Oceanside has a higher median income of $136,997, compared to $111,881 in Temecula.
- In Oceanside, the percentage of married families is higher at 50.0%, compared to 43.0% in Temecula.
- Temecula has a higher poverty level at 9% compared to 4% in Oceanside.
- The unemployment rate in Temecula is higher at 4.4%, compared to 3.2% in Oceanside.
Demographics
Demographics Temecula vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Temecula | Oceanside |
|---|---|---|
| Black | 4 | 3 |
| White | 42 | 71 |
| Asian | 11 | 3 |
| Hispanic | 28 | 16 |
| Two or More Races | 14 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Temecula vs Oceanside
- A higher percentage of Black residents are in Temecula at 4% compared to 3% in Oceanside.
- The percentage of White residents is higher in Oceanside at 71% compared to 42% in Temecula.
- The Asian population is larger in Temecula at 11% compared to 3% in Oceanside.
- The Hispanic community is larger in Temecula at 28% compared to 16% in Oceanside.
- More residents identify as two or more races in Temecula at 14% compared to 7% in Oceanside.
- A greater percentage of American Indian residents live in Temecula at 1% compared to 0% in Oceanside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Temecula | Oceanside |
|---|---|---|
| Mental Health Not Good | 14.6% | 13.7% |
| Physical Health Not Good | 9.2% | 8.3% |
| Depression | 17.1% | 17.6% |
| Smoking | 10.7% | 11.7% |
| Binge Drinking | 17.8% | 18.5% |
| Obesity | 31.7% | 26.9% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Temecula vs Oceanside
- More residents in Temecula report poor mental health at 14.6% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Oceanside at 17.6% versus 17.1% in Temecula.
- Oceanside has a higher smoking rate at 11.7% compared to 10.7% in Temecula.
- More residents engage in binge drinking in Oceanside at 18.5% compared to 17.8% in Temecula.
- Obesity rates are higher in Temecula at 31.7% compared to 26.9% in Oceanside.
- Disability percentages are the same in both Temecula and Oceanside at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Temecula | Oceanside |
|---|---|---|
| No Schooling | 1.0% (1,122) | 0.8% (241) |
| High School Diploma | 10.5% (11,734) | 16.5% (5,186) |
| Less than High School | 7.8% (8,699) | 7.5% (2,349) |
| Bachelor's Degree and Higher | 24.3% (27,134) | 34.5% (10,876) |
Education Levels Comparison: Temecula vs Oceanside
- A higher percentage of residents in Temecula have no formal schooling at 1.0% compared to 0.8% in Oceanside.
- In Oceanside, the rate of residents with high school diplomas is higher at 16.5% compared to 10.5% in Temecula.
- More residents in Temecula have less than a high school education at 7.8% compared to 7.5% in Oceanside.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 34.5% compared to 24.3% in Temecula.
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.