Demographics details for Wilmington, NC vs Oakdale, CA
Population Overview
Compare main population characteristics in Wilmington, NC vs Oakdale, CA.
Data | Wilmington | Oakdale |
---|---|---|
Population | 120,324 | 23,176 |
Median Age | 37.6 years | 35.8 years |
Median Income | $58,908 | $83,110 |
Married Families | 32.0% | 39.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 3.7 | 5.2 |
Population Comparison: Wilmington vs Oakdale
- In Wilmington, the population is higher at 120,324, compared to 23,176 in Oakdale.
- Residents in Wilmington have a higher median age of 37.6 years compared to 35.8 years in Oakdale.
- Oakdale has a higher median income of $83,110, compared to $58,908 in Wilmington.
- In Oakdale, the percentage of married families is higher at 39.0%, compared to 32.0% in Wilmington.
- Wilmington has a higher poverty level at 12% compared to 9% in Oakdale.
- Oakdale has a higher unemployment rate at 5.2% compared to 3.7% in Wilmington.
Demographics
Demographics Wilmington vs Oakdale provide insight into the diversity of the communities to compare.
Demographic | Wilmington | Oakdale |
---|---|---|
Black | 16 | 1 |
White | 71 | 49 |
Asian | 1 | 2 |
Hispanic | 7 | 32 |
Two or More Races | 5 | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Wilmington vs Oakdale
- A higher percentage of Black residents are in Wilmington at 16% compared to 1% in Oakdale.
- Wilmington has a higher percentage of White residents at 71% compared to 49% in Oakdale.
- In Oakdale, the Asian population stands at 2%, greater than 1% in Wilmington.
- Oakdale has a higher percentage of Hispanic residents at 32%, compared to 7% in Wilmington.
- The percentage of residents identifying as two or more races is higher in Oakdale at 15%, compared to 5% in Wilmington.
- In Oakdale, the percentage of American Indian residents is higher at 1%, compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wilmington | Oakdale |
---|---|---|
Mental Health Not Good | 16.9% | 17.1% |
Physical Health Not Good | 11.0% | 11.8% |
Depression | 25.0% | 22.4% |
Smoking | 16.5% | 14.5% |
Binge Drinking | 18.5% | 17.8% |
Obesity | 33.2% | 32.9% |
Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Wilmington vs Oakdale
- In Oakdale, a higher percentage report poor mental health at 17.1% compared to 16.9% in Wilmington.
- Depression is more prevalent in Wilmington at 25.0% compared to 22.4% in Oakdale.
- Smoking is more prevalent in Wilmington at 16.5% compared to 14.5% in Oakdale.
- Binge drinking is more common in Wilmington at 18.5% compared to 17.8% in Oakdale.
- Obesity rates are higher in Wilmington at 33.2% compared to 32.9% in Oakdale.
- Disability percentages are the same in both Wilmington and Oakdale at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wilmington | Oakdale |
---|---|---|
No Schooling | 0.5% (560) | 1.0% (222) |
High School Diploma | 10.5% (12,679) | 14.7% (3,396) |
Less than High School | 7.1% (8,513) | 17.9% (4,155) |
Bachelor's Degree and Higher | 28.5% (34,319) | 13.1% (3,047) |
Education Levels Comparison: Wilmington vs Oakdale
- In Oakdale, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Wilmington.
- In Oakdale, the rate of residents with high school diplomas is higher at 14.7% compared to 10.5% in Wilmington.
- The percentage of residents with less than a high school education is higher in Oakdale at 17.9%, compared to 7.1% in Wilmington.
- A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 28.5% compared to 13.1% in Oakdale.
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.