Demographics details for Webb city, MO vs Winona lake, IN
Population Overview
Compare main population characteristics in Webb city, MO vs Winona lake, IN.
| Data | Webb city | Winona lake |
|---|---|---|
| Population | 13,165 | 5,106 |
| Median Age | 34.2 years | 28.9 years |
| Median Income | $58,964 | $77,305 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Webb city vs Winona lake
- In Webb city, the population is higher at 13,165, compared to 5,106 in Winona lake.
- Residents in Webb city have a higher median age of 34.2 years compared to 28.9 years in Winona lake.
- Winona lake has a higher median income of $77,305, compared to $58,964 in Webb city.
- The percentage of married families is the same in both Webb city and Winona lake at 36.0%.
- Webb city has a higher poverty level at 12% compared to 5% in Winona lake.
- The unemployment rate in Webb city is higher at 3.5%, compared to 2.5% in Winona lake.
Demographics
Demographics Webb city vs Winona lake provide insight into the diversity of the communities to compare.
| Demographic | Webb city | Winona lake |
|---|---|---|
| Black | 2 | 1 |
| White | 87 | 79 |
| Asian | 2 | 1 |
| Hispanic | 2 | 14 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Webb city vs Winona lake
- A higher percentage of Black residents are in Webb city at 2% compared to 1% in Winona lake.
- Webb city has a higher percentage of White residents at 87% compared to 79% in Winona lake.
- The Asian population is larger in Webb city at 2% compared to 1% in Winona lake.
- Winona lake has a higher percentage of Hispanic residents at 14%, compared to 2% in Webb city.
- More residents identify as two or more races in Webb city at 6% compared to 5% in Winona lake.
- A greater percentage of American Indian residents live in Webb city at 1% compared to 0% in Winona lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb city | Winona lake |
|---|---|---|
| Mental Health Not Good | 19.2% | 15.7% |
| Physical Health Not Good | 13.6% | 9.8% |
| Depression | 26.8% | 24.7% |
| Smoking | 21.8% | 16.3% |
| Binge Drinking | 16.2% | 18.1% |
| Obesity | 40.0% | 35.6% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Webb city vs Winona lake
- More residents in Webb city report poor mental health at 19.2% compared to 15.7% in Winona lake.
- Depression is more prevalent in Webb city at 26.8% compared to 24.7% in Winona lake.
- Smoking is more prevalent in Webb city at 21.8% compared to 16.3% in Winona lake.
- More residents engage in binge drinking in Winona lake at 18.1% compared to 16.2% in Webb city.
- Obesity rates are higher in Webb city at 40.0% compared to 35.6% in Winona lake.
- Disability percentages are higher in Webb city at 16.0% compared to 8.0% in Winona lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webb city | Winona lake |
|---|---|---|
| No Schooling | 0.4% (53) | 0.3% (17) |
| High School Diploma | 19.4% (2,556) | 9.5% (483) |
| Less than High School | 11.6% (1,529) | 4.0% (205) |
| Bachelor's Degree and Higher | 17.5% (2,301) | 32.4% (1,654) |
Education Levels Comparison: Webb city vs Winona lake
- A higher percentage of residents in Webb city have no formal schooling at 0.4% compared to 0.3% in Winona lake.
- A higher percentage of residents in Webb city hold a high school diploma at 19.4% compared to 9.5% in Winona lake.
- More residents in Webb city have less than a high school education at 11.6% compared to 4.0% in Winona lake.
- In Winona lake, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 17.5% in Webb city.
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.