Demographics details for Kingston, RI vs Wilmington, NC
Population Overview
Compare main population characteristics in Kingston, RI vs Wilmington, NC.
Data | Kingston | Wilmington |
---|---|---|
Population | 6,560 | 120,324 |
Median Age | 19.6 years | 37.6 years |
Median Income | $108,056 | $58,908 |
Married Families | 13.0% | 32.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 2.6 | 3.7 |
Population Comparison: Kingston vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 6,560 in Kingston.
- The median age in Wilmington is higher at 37.6 years, compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056 compared to $58,908 in Wilmington.
- In Wilmington, the percentage of married families is higher at 32.0%, compared to 13.0% in Kingston.
- The poverty level is higher in Wilmington at 12%, compared to 11% in Kingston.
- Wilmington has a higher unemployment rate at 3.7% compared to 2.6% in Kingston.
Demographics
Demographics Kingston vs Wilmington provide insight into the diversity of the communities to compare.
Demographic | Kingston | Wilmington |
---|---|---|
Black | 5 | 16 |
White | 80 | 71 |
Asian | 2 | 1 |
Hispanic | 6 | 7 |
Two or More Races | 6 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Kingston vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 5% in Kingston.
- Kingston has a higher percentage of White residents at 80% compared to 71% in Wilmington.
- The Asian population is larger in Kingston at 2% compared to 1% in Wilmington.
- Wilmington has a higher percentage of Hispanic residents at 7%, compared to 6% in Kingston.
- More residents identify as two or more races in Kingston at 6% compared to 5% in Wilmington.
- A greater percentage of American Indian residents live in Kingston at 1% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingston | Wilmington |
---|---|---|
Mental Health Not Good | 14.9% | 16.9% |
Physical Health Not Good | 8.7% | 11.0% |
Depression | 24.9% | 25.0% |
Smoking | 11.4% | 16.5% |
Binge Drinking | 19.1% | 18.5% |
Obesity | 25.9% | 33.2% |
Disability Percentage | 6.0% | 12.0% |
Health Statistics Comparison: Kingston vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 14.9% in Kingston.
- Higher depression rates are seen in Wilmington at 25.0% versus 24.9% in Kingston.
- Wilmington has a higher smoking rate at 16.5% compared to 11.4% in Kingston.
- Binge drinking is more common in Kingston at 19.1% compared to 18.5% in Wilmington.
- Wilmington has higher obesity rates at 33.2% compared to 25.9% in Kingston.
- There is a higher percentage of disabled individuals in Wilmington at 12.0% compared to 6.0% in Kingston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kingston | Wilmington |
---|---|---|
No Schooling | 0.0% (3) | 0.5% (560) |
High School Diploma | 1.1% (71) | 10.5% (12,679) |
Less than High School | 0.1% (6) | 7.1% (8,513) |
Bachelor's Degree and Higher | 12.8% (839) | 28.5% (34,319) |
Education Levels Comparison: Kingston vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Kingston.
- In Wilmington, the rate of residents with high school diplomas is higher at 10.5% compared to 1.1% in Kingston.
- The percentage of residents with less than a high school education is higher in Wilmington at 7.1%, compared to 0.1% in Kingston.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 12.8% in Kingston.
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.