Demographics details for Pineville, MO vs Wilmington, OH
Population Overview
Compare main population characteristics in Pineville, MO vs Wilmington, OH.
| Data | Pineville | Wilmington |
|---|---|---|
| Population | 807 | 12,656 |
| Median Age | 41.8 years | 36.5 years |
| Median Income | $34,018 | $48,407 |
| Married Families | 46.0% | 31.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Pineville vs Wilmington
- The population in Wilmington is higher at 12,656, compared to 807 in Pineville.
- Residents in Pineville have a higher median age of 41.8 years compared to 36.5 years in Wilmington.
- Wilmington has a higher median income of $48,407, compared to $34,018 in Pineville.
- A higher percentage of married families is found in Pineville at 46.0% compared to 31.0% in Wilmington.
- Pineville has a higher poverty level at 15% compared to 12% in Wilmington.
- Wilmington has a higher unemployment rate at 5.2% compared to 3.5% in Pineville.
Demographics
Demographics Pineville vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Pineville | Wilmington |
|---|---|---|
| Black | 2 | 5 |
| White | 92 | 85 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 4 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Pineville vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 5% compared to 2% in Pineville.
- Pineville has a higher percentage of White residents at 92% compared to 85% in Wilmington.
- In Wilmington, the Asian population stands at 2%, greater than 0% in Pineville.
- Wilmington has a higher percentage of Hispanic residents at 3%, compared to 0% in Pineville.
- The percentage of residents identifying as two or more races is higher in Wilmington at 5%, compared to 4% in Pineville.
- A greater percentage of American Indian residents live in Pineville at 2% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pineville | Wilmington |
|---|---|---|
| Mental Health Not Good | 20.0% | 19.1% |
| Physical Health Not Good | 15.2% | 13.1% |
| Depression | 26.8% | 25.1% |
| Smoking | 26.0% | 22.9% |
| Binge Drinking | 17.1% | 16.7% |
| Obesity | 42.9% | 43.0% |
| Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Pineville vs Wilmington
- More residents in Pineville report poor mental health at 20.0% compared to 19.1% in Wilmington.
- Depression is more prevalent in Pineville at 26.8% compared to 25.1% in Wilmington.
- Smoking is more prevalent in Pineville at 26.0% compared to 22.9% in Wilmington.
- Binge drinking is more common in Pineville at 17.1% compared to 16.7% in Wilmington.
- Wilmington has higher obesity rates at 43.0% compared to 42.9% in Pineville.
- There is a higher percentage of disabled individuals in Wilmington at 19.0% compared to 17.0% in Pineville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pineville | Wilmington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (171) |
| High School Diploma | 32.7% (264) | 21.3% (2,702) |
| Less than High School | 17.6% (142) | 11.0% (1,394) |
| Bachelor's Degree and Higher | 9.2% (74) | 13.9% (1,753) |
Education Levels Comparison: Pineville vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Pineville.
- A higher percentage of residents in Pineville hold a high school diploma at 32.7% compared to 21.3% in Wilmington.
- More residents in Pineville have less than a high school education at 17.6% compared to 11.0% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 13.9% compared to 9.2% in Pineville.
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.