Demographics details for Rice, MN vs Wilmington, NC
Population Overview
Compare main population characteristics in Rice, MN vs Wilmington, NC.
| Data | Rice | Wilmington |
|---|---|---|
| Population | 67,693 | 120,324 |
| Median Age | 37.1 years | 37.6 years |
| Median Income | $78,214 | $58,908 |
| Married Families | 38.0% | 32.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 3.7 | 3.7 |
Population Comparison: Rice vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 67,693 in Rice.
- The median age in Wilmington is higher at 37.6 years, compared to 37.1 years in Rice.
- Rice has a higher median income of $78,214 compared to $58,908 in Wilmington.
- A higher percentage of married families is found in Rice at 38.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 8% in Rice.
- The unemployment rate is the same in both Rice and Wilmington at 3.7%.
Demographics
Demographics Rice vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Rice | Wilmington |
|---|---|---|
| Black | 6 | 16 |
| White | 77 | 71 |
| Asian | 2 | 1 |
| Hispanic | 9 | 7 |
| Two or More Races | 5 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Rice vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 6% in Rice.
- Rice has a higher percentage of White residents at 77% compared to 71% in Wilmington.
- The Asian population is larger in Rice at 2% compared to 1% in Wilmington.
- The Hispanic community is larger in Rice at 9% compared to 7% in Wilmington.
- Both Rice and Wilmington have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Rice at 1% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rice | Wilmington |
|---|---|---|
| Mental Health Not Good | 14.2% | 16.9% |
| Physical Health Not Good | 9.2% | 11.0% |
| Depression | 20.3% | 25.0% |
| Smoking | 17.3% | 16.5% |
| Binge Drinking | 18.9% | 18.5% |
| Obesity | 37.5% | 33.2% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Rice vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 14.2% in Rice.
- Higher depression rates are seen in Wilmington at 25.0% versus 20.3% in Rice.
- Smoking is more prevalent in Rice at 17.3% compared to 16.5% in Wilmington.
- Binge drinking is more common in Rice at 18.9% compared to 18.5% in Wilmington.
- Obesity rates are higher in Rice at 37.5% compared to 33.2% in Wilmington.
- There is a higher percentage of disabled individuals in Wilmington at 12.0% compared to 9.0% in Rice.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rice | Wilmington |
|---|---|---|
| No Schooling | 1.0% (661) | 0.5% (560) |
| High School Diploma | 16.9% (11,454) | 10.5% (12,679) |
| Less than High School | 8.2% (5,534) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 19.0% (12,887) | 28.5% (34,319) |
Education Levels Comparison: Rice vs Wilmington
- A higher percentage of residents in Rice have no formal schooling at 1.0% compared to 0.5% in Wilmington.
- A higher percentage of residents in Rice hold a high school diploma at 16.9% compared to 10.5% in Wilmington.
- More residents in Rice have less than a high school education at 8.2% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 19.0% in Rice.
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.