Demographics details for Windham, OH vs Higginsville, MO
Population Overview
Compare main population characteristics in Windham, OH vs Higginsville, MO.
| Data | Windham | Higginsville |
|---|---|---|
| Population | 1,664 | 4,755 |
| Median Age | 29.0 years | 40.3 years |
| Median Income | $39,000 | $76,731 |
| Married Families | 29.0% | 36.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Windham vs Higginsville
- The population in Higginsville is higher at 4,755, compared to 1,664 in Windham.
- The median age in Higginsville is higher at 40.3 years, compared to 29.0 years in Windham.
- Higginsville has a higher median income of $76,731, compared to $39,000 in Windham.
- In Higginsville, the percentage of married families is higher at 36.0%, compared to 29.0% in Windham.
- Windham has a higher poverty level at 12% compared to 8% in Higginsville.
- The unemployment rate in Windham is higher at 4.5%, compared to 3.4% in Higginsville.
Demographics
Demographics Windham vs Higginsville provide insight into the diversity of the communities to compare.
| Demographic | Windham | Higginsville |
|---|---|---|
| Black | 8 | 8 |
| White | 84 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 3 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Windham vs Higginsville
- The percentage of Black residents is the same in both Windham and Higginsville at 8%.
- The percentage of White residents is higher in Higginsville at 86% compared to 84% in Windham.
- Both Windham and Higginsville have the same percentage of Asian residents at 0%.
- Higginsville has a higher percentage of Hispanic residents at 3%, compared to 0% in Windham.
- More residents identify as two or more races in Windham at 8% compared to 3% in Higginsville.
- The percentage of American Indian residents is the same in both Windham and Higginsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Windham | Higginsville |
|---|---|---|
| Mental Health Not Good | 18.7% | 17.2% |
| Physical Health Not Good | 13.4% | 12.2% |
| Depression | 23.7% | 23.9% |
| Smoking | 24.2% | 20.8% |
| Binge Drinking | 18.2% | 19.4% |
| Obesity | 37.9% | 40.6% |
| Disability Percentage | 29.0% | 24.0% |
Health Statistics Comparison: Windham vs Higginsville
- More residents in Windham report poor mental health at 18.7% compared to 17.2% in Higginsville.
- Higher depression rates are seen in Higginsville at 23.9% versus 23.7% in Windham.
- Smoking is more prevalent in Windham at 24.2% compared to 20.8% in Higginsville.
- More residents engage in binge drinking in Higginsville at 19.4% compared to 18.2% in Windham.
- Higginsville has higher obesity rates at 40.6% compared to 37.9% in Windham.
- Disability percentages are higher in Windham at 29.0% compared to 24.0% in Higginsville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Windham | Higginsville |
|---|---|---|
| No Schooling | 1.1% (19) | 2.3% (109) |
| High School Diploma | 27.9% (465) | 26.1% (1,241) |
| Less than High School | 18.0% (299) | 15.3% (729) |
| Bachelor's Degree and Higher | 4.3% (71) | 20.8% (991) |
Education Levels Comparison: Windham vs Higginsville
- In Higginsville, a larger percentage of residents lack formal schooling at 2.3% compared to 1.1% in Windham.
- A higher percentage of residents in Windham hold a high school diploma at 27.9% compared to 26.1% in Higginsville.
- More residents in Windham have less than a high school education at 18.0% compared to 15.3% in Higginsville.
- In Higginsville, a larger share of residents have a bachelor's degree or higher at 20.8% compared to 4.3% in Windham.
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.