Demographics details for Peculiar, MO vs Wilmington, OH
Population Overview
Compare main population characteristics in Peculiar, MO vs Wilmington, OH.
| Data | Peculiar | Wilmington |
|---|---|---|
| Population | 5,958 | 12,656 |
| Median Age | 36.2 years | 36.5 years |
| Median Income | $91,783 | $48,407 |
| Married Families | 34.0% | 31.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Peculiar vs Wilmington
- The population in Wilmington is higher at 12,656, compared to 5,958 in Peculiar.
- The median age in Wilmington is higher at 36.5 years, compared to 36.2 years in Peculiar.
- Peculiar has a higher median income of $91,783 compared to $48,407 in Wilmington.
- A higher percentage of married families is found in Peculiar at 34.0% compared to 31.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 0% in Peculiar.
- Wilmington has a higher unemployment rate at 5.2% compared to 3.5% in Peculiar.
Demographics
Demographics Peculiar vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Peculiar | Wilmington |
|---|---|---|
| Black | 3 | 5 |
| White | 83 | 85 |
| Asian | Data is updating | 2 |
| Hispanic | 7 | 3 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Peculiar vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 5% compared to 3% in Peculiar.
- The percentage of White residents is higher in Wilmington at 85% compared to 83% in Peculiar.
- In Wilmington, the Asian population stands at 2%, greater than 0% in Peculiar.
- The Hispanic community is larger in Peculiar at 7% compared to 3% in Wilmington.
- More residents identify as two or more races in Peculiar at 7% compared to 5% in Wilmington.
- The percentage of American Indian residents is the same in both Peculiar and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Peculiar | Wilmington |
|---|---|---|
| Mental Health Not Good | 16.9% | 19.1% |
| Physical Health Not Good | 10.9% | 13.1% |
| Depression | 24.1% | 25.1% |
| Smoking | 18.3% | 22.9% |
| Binge Drinking | 18.0% | 16.7% |
| Obesity | 37.0% | 43.0% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Peculiar vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 19.1% compared to 16.9% in Peculiar.
- Higher depression rates are seen in Wilmington at 25.1% versus 24.1% in Peculiar.
- Wilmington has a higher smoking rate at 22.9% compared to 18.3% in Peculiar.
- Binge drinking is more common in Peculiar at 18.0% compared to 16.7% in Wilmington.
- Wilmington has higher obesity rates at 43.0% compared to 37.0% in Peculiar.
- There is a higher percentage of disabled individuals in Wilmington at 19.0% compared to 14.0% in Peculiar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Peculiar | Wilmington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (171) |
| High School Diploma | 13.2% (785) | 21.3% (2,702) |
| Less than High School | 9.9% (591) | 11.0% (1,394) |
| Bachelor's Degree and Higher | 13.2% (787) | 13.9% (1,753) |
Education Levels Comparison: Peculiar vs Wilmington
- In Wilmington, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Peculiar.
- In Wilmington, the rate of residents with high school diplomas is higher at 21.3% compared to 13.2% in Peculiar.
- The percentage of residents with less than a high school education is higher in Wilmington at 11.0%, compared to 9.9% in Peculiar.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 13.9% compared to 13.2% in Peculiar.
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.