Demographics details for Oceanside, CA vs Clermont, FL
Population Overview
Compare main population characteristics in Oceanside, CA vs Clermont, FL.
Data | Oceanside | Clermont |
---|---|---|
Population | 172,199 | 46,506 |
Median Age | 37.5 years | 41.7 years |
Median Income | $86,701 | $75,951 |
Married Families | 41.0% | 41.0% |
Poverty Level | 9% | 9% |
Unemployment Rate | 4.6 | 3.7 |
Population Comparison: Oceanside vs Clermont
- In Oceanside, the population is higher at 172,199, compared to 46,506 in Clermont.
- The median age in Clermont is higher at 41.7 years, compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701 compared to $75,951 in Clermont.
- The percentage of married families is the same in both Oceanside and Clermont at 41.0%.
- The poverty level is identical in both Oceanside and Clermont at 9%.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 3.7% in Clermont.
Demographics
Demographics Oceanside vs Clermont provide insight into the diversity of the communities to compare.
Demographic | Oceanside | Clermont |
---|---|---|
Black | 4 | 14 |
White | 31 | 45 |
Asian | 7 | 4 |
Hispanic | 38 | 21 |
Two or More Races | 19 | 16 |
American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Clermont
- In Clermont, the percentage of Black residents is higher at 14% compared to 4% in Oceanside.
- The percentage of White residents is higher in Clermont at 45% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 4% in Clermont.
- The Hispanic community is larger in Oceanside at 38% compared to 21% in Clermont.
- More residents identify as two or more races in Oceanside at 19% compared to 16% in Clermont.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Clermont.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oceanside | Clermont |
---|---|---|
Mental Health Not Good | 16.2% | 15.7% |
Physical Health Not Good | 10.9% | 10.1% |
Depression | 17.9% | 19.5% |
Smoking | 11.7% | 17.2% |
Binge Drinking | 18.9% | 15.5% |
Obesity | 25.0% | 34.9% |
Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Oceanside vs Clermont
- More residents in Oceanside report poor mental health at 16.2% compared to 15.7% in Clermont.
- Higher depression rates are seen in Clermont at 19.5% versus 17.9% in Oceanside.
- Clermont has a higher smoking rate at 17.2% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 15.5% in Clermont.
- Clermont has higher obesity rates at 34.9% compared to 25.0% in Oceanside.
- Disability percentages are higher in Oceanside at 12.0% compared to 10.0% in Clermont.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oceanside | Clermont |
---|---|---|
No Schooling | 1.7% (2,927) | 0.4% (195) |
High School Diploma | 12.0% (20,662) | 12.5% (5,809) |
Less than High School | 17.7% (30,528) | 5.7% (2,631) |
Bachelor's Degree and Higher | 23.5% (40,490) | 21.9% (10,177) |
Education Levels Comparison: Oceanside vs Clermont
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.4% in Clermont.
- In Clermont, the rate of residents with high school diplomas is higher at 12.5% compared to 12.0% in Oceanside.
- More residents in Oceanside have less than a high school education at 17.7% compared to 5.7% in Clermont.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 23.5% compared to 21.9% in Clermont.
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.