Demographics details for Princeton, NC vs Oak harbor, WA
Population Overview
Compare main population characteristics in Princeton, NC vs Oak harbor, WA.
Data | Princeton | Oak harbor |
---|---|---|
Population | 1,418 | 24,403 |
Median Age | 33.1 years | 31.7 years |
Median Income | $34,315 | $68,039 |
Married Families | 35.0% | 43.0% |
Poverty Level | 13% | 7% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Princeton vs Oak harbor
- The population in Oak harbor is higher at 24,403, compared to 1,418 in Princeton.
- Residents in Princeton have a higher median age of 33.1 years compared to 31.7 years in Oak harbor.
- Oak harbor has a higher median income of $68,039, compared to $34,315 in Princeton.
- In Oak harbor, the percentage of married families is higher at 43.0%, compared to 35.0% in Princeton.
- Princeton has a higher poverty level at 13% compared to 7% in Oak harbor.
- The unemployment rate is the same in both Princeton and Oak harbor at 4.5%.
Demographics
Demographics Princeton vs Oak harbor provide insight into the diversity of the communities to compare.
Demographic | Princeton | Oak harbor |
---|---|---|
Black | 24 | 5 |
White | 47 | 56 |
Asian | Data is updating | 8 |
Hispanic | 24 | 16 |
Two or More Races | 5 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Princeton vs Oak harbor
- A higher percentage of Black residents are in Princeton at 24% compared to 5% in Oak harbor.
- The percentage of White residents is higher in Oak harbor at 56% compared to 47% in Princeton.
- In Oak harbor, the Asian population stands at 8%, greater than 0% in Princeton.
- The Hispanic community is larger in Princeton at 24% compared to 16% in Oak harbor.
- The percentage of residents identifying as two or more races is higher in Oak harbor at 14%, compared to 5% in Princeton.
- In Oak harbor, the percentage of American Indian residents is higher at 1%, compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Princeton | Oak harbor |
---|---|---|
Mental Health Not Good | 18.0% | 17.3% |
Physical Health Not Good | 12.6% | 11.1% |
Depression | 24.9% | 25.0% |
Smoking | 20.2% | 15.1% |
Binge Drinking | 16.3% | 16.2% |
Obesity | 43.2% | 31.5% |
Disability Percentage | 20.0% | 13.0% |
Health Statistics Comparison: Princeton vs Oak harbor
- More residents in Princeton report poor mental health at 18.0% compared to 17.3% in Oak harbor.
- Higher depression rates are seen in Oak harbor at 25.0% versus 24.9% in Princeton.
- Smoking is more prevalent in Princeton at 20.2% compared to 15.1% in Oak harbor.
- Binge drinking is more common in Princeton at 16.3% compared to 16.2% in Oak harbor.
- Obesity rates are higher in Princeton at 43.2% compared to 31.5% in Oak harbor.
- Disability percentages are higher in Princeton at 20.0% compared to 13.0% in Oak harbor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Princeton | Oak harbor |
---|---|---|
No Schooling | 0.4% (6) | 0.4% (106) |
High School Diploma | 13.4% (190) | 12.8% (3,133) |
Less than High School | 23.5% (333) | 5.7% (1,395) |
Bachelor's Degree and Higher | 8.5% (121) | 17.6% (4,288) |
Education Levels Comparison: Princeton vs Oak harbor
- The percentage of residents with no formal schooling is the same in both Princeton and Oak harbor at 0.4%.
- A higher percentage of residents in Princeton hold a high school diploma at 13.4% compared to 12.8% in Oak harbor.
- More residents in Princeton have less than a high school education at 23.5% compared to 5.7% in Oak harbor.
- In Oak harbor, a larger share of residents have a bachelor's degree or higher at 17.6% compared to 8.5% in Princeton.
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.