Demographics details for Wever, IA vs Marietta, OK
Population Overview
Compare main population characteristics in Wever, IA vs Marietta, OK.
| Data | Wever | Marietta |
|---|---|---|
| Population | 305 | 2,832 |
| Median Age | 38.0 years | 29.6 years |
| Median Income | $60,000 | $48,098 |
| Married Families | 78.0% | 30.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Wever vs Marietta
- The population in Marietta is higher at 2,832, compared to 305 in Wever.
- Residents in Wever have a higher median age of 38.0 years compared to 29.6 years in Marietta.
- Wever has a higher median income of $60,000 compared to $48,098 in Marietta.
- A higher percentage of married families is found in Wever at 78.0% compared to 30.0% in Marietta.
- Wever has a higher poverty level at 5% compared to 0% in Marietta.
- Marietta has a higher unemployment rate at 3.5% compared to 3.0% in Wever.
Demographics
Demographics Wever vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Wever | Marietta |
|---|---|---|
| Black | Data is updating | 4 |
| White | 100 | 37 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 38 |
| Two or More Races | Data is updating | 17 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Wever vs Marietta
- In Marietta, the percentage of Black residents is higher at 4% compared to 0% in Wever.
- Wever has a higher percentage of White residents at 100% compared to 37% in Marietta.
- Both Wever and Marietta have the same percentage of Asian residents at 0%.
- Marietta has a higher percentage of Hispanic residents at 38%, compared to 0% in Wever.
- The percentage of residents identifying as two or more races is higher in Marietta at 17%, compared to 0% in Wever.
- In Marietta, the percentage of American Indian residents is higher at 4%, compared to 0% in Wever.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wever | Marietta |
|---|---|---|
| Mental Health Not Good | Data is updating% | 21.1% |
| Physical Health Not Good | Data is updating% | 16.4% |
| Depression | Data is updating% | 26.8% |
| Smoking | Data is updating% | 25.1% |
| Binge Drinking | Data is updating% | 13.0% |
| Obesity | Data is updating% | 44.8% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Wever vs Marietta
- In Marietta, a higher percentage report poor mental health at 21.1% compared to 0.0% in Wever.
- Higher depression rates are seen in Marietta at 26.8% versus 0.0% in Wever.
- Marietta has a higher smoking rate at 25.1% compared to 0.0% in Wever.
- More residents engage in binge drinking in Marietta at 13.0% compared to 0.0% in Wever.
- Marietta has higher obesity rates at 44.8% compared to 0.0% in Wever.
- There is a higher percentage of disabled individuals in Marietta at 15.0% compared to 0.0% in Wever.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wever | Marietta |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (44) |
| High School Diploma | 0.0% (Data is updating) | 18.3% (517) |
| Less than High School | 0.0% (Data is updating) | 31.9% (902) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 5.1% (144) |
Education Levels Comparison: Wever vs Marietta
- In Marietta, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Wever.
- In Marietta, the rate of residents with high school diplomas is higher at 18.3% compared to 0.0% in Wever.
- The percentage of residents with less than a high school education is higher in Marietta at 31.9%, compared to 0.0% in Wever.
- In Marietta, a larger share of residents have a bachelor's degree or higher at 5.1% compared to 0.0% in Wever.
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.