Demographics details for Oak harbor, WA vs New london, CT
Population Overview
Compare main population characteristics in Oak harbor, WA vs New london, CT.
Data | Oak harbor | New london |
---|---|---|
Population | 24,403 | 27,980 |
Median Age | 31.7 years | 35.5 years |
Median Income | $68,039 | $56,237 |
Married Families | 43.0% | 24.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 4.5 | 3.6 |
Population Comparison: Oak harbor vs New london
- The population in New london is higher at 27,980, compared to 24,403 in Oak harbor.
- The median age in New london is higher at 35.5 years, compared to 31.7 years in Oak harbor.
- Oak harbor has a higher median income of $68,039 compared to $56,237 in New london.
- A higher percentage of married families is found in Oak harbor at 43.0% compared to 24.0% in New london.
- The poverty level is higher in New london at 12%, compared to 7% in Oak harbor.
- The unemployment rate in Oak harbor is higher at 4.5%, compared to 3.6% in New london.
Demographics
Demographics Oak harbor vs New london provide insight into the diversity of the communities to compare.
Demographic | Oak harbor | New london |
---|---|---|
Black | 5 | 17 |
White | 56 | 41 |
Asian | 8 | 2 |
Hispanic | 16 | 29 |
Two or More Races | 14 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Oak harbor vs New london
- In New london, the percentage of Black residents is higher at 17% compared to 5% in Oak harbor.
- Oak harbor has a higher percentage of White residents at 56% compared to 41% in New london.
- The Asian population is larger in Oak harbor at 8% compared to 2% in New london.
- New london has a higher percentage of Hispanic residents at 29%, compared to 16% in Oak harbor.
- More residents identify as two or more races in Oak harbor at 14% compared to 11% in New london.
- A greater percentage of American Indian residents live in Oak harbor at 1% compared to 0% in New london.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oak harbor | New london |
---|---|---|
Mental Health Not Good | 17.3% | 17.9% |
Physical Health Not Good | 11.1% | 12.5% |
Depression | 25.0% | 23.3% |
Smoking | 15.1% | 19.5% |
Binge Drinking | 16.2% | 15.2% |
Obesity | 31.5% | 37.1% |
Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Oak harbor vs New london
- In New london, a higher percentage report poor mental health at 17.9% compared to 17.3% in Oak harbor.
- Depression is more prevalent in Oak harbor at 25.0% compared to 23.3% in New london.
- New london has a higher smoking rate at 19.5% compared to 15.1% in Oak harbor.
- Binge drinking is more common in Oak harbor at 16.2% compared to 15.2% in New london.
- New london has higher obesity rates at 37.1% compared to 31.5% in Oak harbor.
- There is a higher percentage of disabled individuals in New london at 14.0% 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 | Oak harbor | New london |
---|---|---|
No Schooling | 0.4% (106) | 1.4% (399) |
High School Diploma | 12.8% (3,133) | 16.0% (4,487) |
Less than High School | 5.7% (1,395) | 13.7% (3,830) |
Bachelor's Degree and Higher | 17.6% (4,288) | 16.9% (4,738) |
Education Levels Comparison: Oak harbor vs New london
- In New london, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Oak harbor.
- In New london, the rate of residents with high school diplomas is higher at 16.0% compared to 12.8% in Oak harbor.
- The percentage of residents with less than a high school education is higher in New london at 13.7%, compared to 5.7% in Oak harbor.
- A higher percentage of residents in Oak harbor hold a bachelor's degree or higher at 17.6% compared to 16.9% in New london.
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.