Demographics details for Prairie farm, WI vs Wilmington, NC
Population Overview
Compare main population characteristics in Prairie farm, WI vs Wilmington, NC.
Data | Prairie farm | Wilmington |
---|---|---|
Population | 498 | 120,324 |
Median Age | 47.9 years | 37.6 years |
Median Income | $55,192 | $58,908 |
Married Families | 45.0% | 32.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Prairie farm vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 498 in Prairie farm.
- Residents in Prairie farm have a higher median age of 47.9 years compared to 37.6 years in Wilmington.
- Wilmington has a higher median income of $58,908, compared to $55,192 in Prairie farm.
- A higher percentage of married families is found in Prairie farm at 45.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 10% in Prairie farm.
- Wilmington has a higher unemployment rate at 3.7% compared to 3.5% in Prairie farm.
Demographics
Demographics Prairie farm vs Wilmington provide insight into the diversity of the communities to compare.
Demographic | Prairie farm | Wilmington |
---|---|---|
Black | Data is updating | 16 |
White | 96 | 71 |
Asian | Data is updating | 1 |
Hispanic | 2 | 7 |
Two or More Races | 1 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Prairie farm vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 0% in Prairie farm.
- Prairie farm has a higher percentage of White residents at 96% compared to 71% in Wilmington.
- In Wilmington, the Asian population stands at 1%, greater than 0% in Prairie farm.
- Wilmington has a higher percentage of Hispanic residents at 7%, compared to 2% in Prairie farm.
- The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 1% in Prairie farm.
- A greater percentage of American Indian residents live in Prairie farm at 1% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Prairie farm | Wilmington |
---|---|---|
Mental Health Not Good | 16.0% | 16.9% |
Physical Health Not Good | 10.8% | 11.0% |
Depression | 24.2% | 25.0% |
Smoking | 18.3% | 16.5% |
Binge Drinking | 24.1% | 18.5% |
Obesity | 35.7% | 33.2% |
Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Prairie farm vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 16.0% in Prairie farm.
- Higher depression rates are seen in Wilmington at 25.0% versus 24.2% in Prairie farm.
- Smoking is more prevalent in Prairie farm at 18.3% compared to 16.5% in Wilmington.
- Binge drinking is more common in Prairie farm at 24.1% compared to 18.5% in Wilmington.
- Obesity rates are higher in Prairie farm at 35.7% compared to 33.2% in Wilmington.
- Disability percentages are higher in Prairie farm 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 | Prairie farm | Wilmington |
---|---|---|
No Schooling | 0.2% (1) | 0.5% (560) |
High School Diploma | 32.3% (161) | 10.5% (12,679) |
Less than High School | 11.6% (58) | 7.1% (8,513) |
Bachelor's Degree and Higher | 6.8% (34) | 28.5% (34,319) |
Education Levels Comparison: Prairie farm vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Prairie farm.
- A higher percentage of residents in Prairie farm hold a high school diploma at 32.3% compared to 10.5% in Wilmington.
- More residents in Prairie farm have less than a high school education at 11.6% 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 6.8% in Prairie farm.
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.