Demographics details for Goose creek, SC vs Oceanside, CA
Population Overview
Compare main population characteristics in Goose creek, SC vs Oceanside, CA.
Data | Goose creek | Oceanside |
---|---|---|
Population | 47,618 | 172,199 |
Median Age | 32.0 years | 37.5 years |
Median Income | $84,041 | $86,701 |
Married Families | 37.0% | 41.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.3 | 4.6 |
Population Comparison: Goose creek vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 47,618 in Goose creek.
- The median age in Oceanside is higher at 37.5 years, compared to 32.0 years in Goose creek.
- Oceanside has a higher median income of $86,701, compared to $84,041 in Goose creek.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 37.0% in Goose creek.
- Goose creek has a higher poverty level at 10% compared to 9% in Oceanside.
- Oceanside has a higher unemployment rate at 4.6% compared to 4.3% in Goose creek.
Demographics
Demographics Goose creek vs Oceanside provide insight into the diversity of the communities to compare.
Demographic | Goose creek | Oceanside |
---|---|---|
Black | 20 | 4 |
White | 63 | 31 |
Asian | 3 | 7 |
Hispanic | 8 | 38 |
Two or More Races | 6 | 19 |
American Indian | Data is updating | 1 |
Demographics Comparison: Goose creek vs Oceanside
- A higher percentage of Black residents are in Goose creek at 20% compared to 4% in Oceanside.
- Goose creek has a higher percentage of White residents at 63% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 3% in Goose creek.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 8% in Goose creek.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 6% in Goose creek.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Goose creek.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Goose creek | Oceanside |
---|---|---|
Mental Health Not Good | 16.9% | 16.2% |
Physical Health Not Good | 10.8% | 10.9% |
Depression | 19.2% | 17.9% |
Smoking | 15.8% | 11.7% |
Binge Drinking | 19.4% | 18.9% |
Obesity | 38.3% | 25.0% |
Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Goose creek vs Oceanside
- More residents in Goose creek report poor mental health at 16.9% compared to 16.2% in Oceanside.
- Depression is more prevalent in Goose creek at 19.2% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Goose creek at 15.8% compared to 11.7% in Oceanside.
- Binge drinking is more common in Goose creek at 19.4% compared to 18.9% in Oceanside.
- Obesity rates are higher in Goose creek at 38.3% compared to 25.0% in Oceanside.
- There is a higher percentage of disabled individuals in Oceanside at 12.0% compared to 11.0% in Goose creek.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Goose creek | Oceanside |
---|---|---|
No Schooling | 0.5% (235) | 1.7% (2,927) |
High School Diploma | 12.6% (6,002) | 12.0% (20,662) |
Less than High School | 6.9% (3,266) | 17.7% (30,528) |
Bachelor's Degree and Higher | 16.2% (7,733) | 23.5% (40,490) |
Education Levels Comparison: Goose creek vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Goose creek.
- A higher percentage of residents in Goose creek hold a high school diploma at 12.6% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 6.9% in Goose creek.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 16.2% in Goose creek.
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.