Demographics details for Wilmington, OH vs Thornton, CO
Population Overview
Compare main population characteristics in Wilmington, OH vs Thornton, CO.
| Data | Wilmington | Thornton |
|---|---|---|
| Population | 12,656 | 143,282 |
| Median Age | 36.5 years | 33.7 years |
| Median Income | $48,407 | $95,064 |
| Married Families | 31.0% | 40.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Wilmington vs Thornton
- The population in Thornton is higher at 143,282, compared to 12,656 in Wilmington.
- Residents in Wilmington have a higher median age of 36.5 years compared to 33.7 years in Thornton.
- Thornton has a higher median income of $95,064, compared to $48,407 in Wilmington.
- In Thornton, the percentage of married families is higher at 40.0%, compared to 31.0% in Wilmington.
- Wilmington has a higher poverty level at 12% compared to 9% in Thornton.
- The unemployment rate in Wilmington is higher at 5.2%, compared to 4.2% in Thornton.
Demographics
Demographics Wilmington vs Thornton provide insight into the diversity of the communities to compare.
| Demographic | Wilmington | Thornton |
|---|---|---|
| Black | 5 | 2 |
| White | 85 | 39 |
| Asian | 2 | 6 |
| Hispanic | 3 | 37 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wilmington vs Thornton
- A higher percentage of Black residents are in Wilmington at 5% compared to 2% in Thornton.
- Wilmington has a higher percentage of White residents at 85% compared to 39% in Thornton.
- In Thornton, the Asian population stands at 6%, greater than 2% in Wilmington.
- Thornton has a higher percentage of Hispanic residents at 37%, compared to 3% in Wilmington.
- The percentage of residents identifying as two or more races is higher in Thornton at 15%, compared to 5% in Wilmington.
- In Thornton, 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 | Thornton |
|---|---|---|
| Mental Health Not Good | 19.1% | 15.1% |
| Physical Health Not Good | 13.1% | 10.9% |
| Depression | 25.1% | 22.0% |
| Smoking | 22.9% | 15.1% |
| Binge Drinking | 16.7% | 21.0% |
| Obesity | 43.0% | 30.1% |
| Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Wilmington vs Thornton
- More residents in Wilmington report poor mental health at 19.1% compared to 15.1% in Thornton.
- Depression is more prevalent in Wilmington at 25.1% compared to 22.0% in Thornton.
- Smoking is more prevalent in Wilmington at 22.9% compared to 15.1% in Thornton.
- More residents engage in binge drinking in Thornton at 21.0% compared to 16.7% in Wilmington.
- Obesity rates are higher in Wilmington at 43.0% compared to 30.1% in Thornton.
- Disability percentages are higher in Wilmington at 19.0% compared to 10.0% in Thornton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wilmington | Thornton |
|---|---|---|
| No Schooling | 1.4% (171) | 1.7% (2,448) |
| High School Diploma | 21.3% (2,702) | 13.2% (18,983) |
| Less than High School | 11.0% (1,394) | 14.7% (20,999) |
| Bachelor's Degree and Higher | 13.9% (1,753) | 19.3% (27,712) |
Education Levels Comparison: Wilmington vs Thornton
- In Thornton, a larger percentage of residents lack formal schooling at 1.7% compared to 1.4% in Wilmington.
- A higher percentage of residents in Wilmington hold a high school diploma at 21.3% compared to 13.2% in Thornton.
- The percentage of residents with less than a high school education is higher in Thornton at 14.7%, compared to 11.0% in Wilmington.
- In Thornton, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 13.9% in Wilmington.
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.