Demographics details for Wilmington, NC vs Purcell, OK
Population Overview
Compare main population characteristics in Wilmington, NC vs Purcell, OK.
Data | Wilmington | Purcell |
---|---|---|
Population | 120,324 | 6,762 |
Median Age | 37.6 years | 34.7 years |
Median Income | $58,908 | $68,295 |
Married Families | 32.0% | 37.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 3.7 | 3.6 |
Population Comparison: Wilmington vs Purcell
- In Wilmington, the population is higher at 120,324, compared to 6,762 in Purcell.
- Residents in Wilmington have a higher median age of 37.6 years compared to 34.7 years in Purcell.
- Purcell has a higher median income of $68,295, compared to $58,908 in Wilmington.
- In Purcell, the percentage of married families is higher at 37.0%, compared to 32.0% in Wilmington.
- The poverty level is identical in both Wilmington and Purcell at 12%.
- The unemployment rate in Wilmington is higher at 3.7%, compared to 3.6% in Purcell.
Demographics
Demographics Wilmington vs Purcell provide insight into the diversity of the communities to compare.
Demographic | Wilmington | Purcell |
---|---|---|
Black | 16 | 1 |
White | 71 | 67 |
Asian | 1 | Data is updating |
Hispanic | 7 | 16 |
Two or More Races | 5 | 13 |
American Indian | Data is updating | 3 |
Demographics Comparison: Wilmington vs Purcell
- A higher percentage of Black residents are in Wilmington at 16% compared to 1% in Purcell.
- Wilmington has a higher percentage of White residents at 71% compared to 67% in Purcell.
- The Asian population is larger in Wilmington at 1% compared to 0% in Purcell.
- Purcell has a higher percentage of Hispanic residents at 16%, compared to 7% in Wilmington.
- The percentage of residents identifying as two or more races is higher in Purcell at 13%, compared to 5% in Wilmington.
- In Purcell, the percentage of American Indian residents is higher at 3%, compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wilmington | Purcell |
---|---|---|
Mental Health Not Good | 16.9% | 18.6% |
Physical Health Not Good | 11.0% | 13.5% |
Depression | 25.0% | 25.3% |
Smoking | 16.5% | 21.0% |
Binge Drinking | 18.5% | 14.4% |
Obesity | 33.2% | 42.7% |
Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Wilmington vs Purcell
- In Purcell, a higher percentage report poor mental health at 18.6% compared to 16.9% in Wilmington.
- Higher depression rates are seen in Purcell at 25.3% versus 25.0% in Wilmington.
- Purcell has a higher smoking rate at 21.0% compared to 16.5% in Wilmington.
- Binge drinking is more common in Wilmington at 18.5% compared to 14.4% in Purcell.
- Purcell has higher obesity rates at 42.7% compared to 33.2% in Wilmington.
- There is a higher percentage of disabled individuals in Purcell at 15.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wilmington | Purcell |
---|---|---|
No Schooling | 0.5% (560) | 0.4% (29) |
High School Diploma | 10.5% (12,679) | 20.2% (1,367) |
Less than High School | 7.1% (8,513) | 26.2% (1,775) |
Bachelor's Degree and Higher | 28.5% (34,319) | 12.1% (821) |
Education Levels Comparison: Wilmington vs Purcell
- A higher percentage of residents in Wilmington have no formal schooling at 0.5% compared to 0.4% in Purcell.
- In Purcell, the rate of residents with high school diplomas is higher at 20.2% compared to 10.5% in Wilmington.
- The percentage of residents with less than a high school education is higher in Purcell at 26.2%, 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 12.1% in Purcell.
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.