Demographics details for Irwin, OH vs Monett, MO
Population Overview
Compare main population characteristics in Irwin, OH vs Monett, MO.
| Data | Irwin | Monett |
|---|---|---|
| Population | 763 | 9,789 |
| Median Age | 35.0 years | 34.7 years |
| Median Income | $60,000 | $42,635 |
| Married Families | 40.0% | 33.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 5.0 | 3.8 |
Population Comparison: Irwin vs Monett
- The population in Monett is higher at 9,789, compared to 763 in Irwin.
- Residents in Irwin have a higher median age of 35.0 years compared to 34.7 years in Monett.
- Irwin has a higher median income of $60,000 compared to $42,635 in Monett.
- A higher percentage of married families is found in Irwin at 40.0% compared to 33.0% in Monett.
- The poverty level is higher in Monett at 15%, compared to 10% in Irwin.
- The unemployment rate in Irwin is higher at 5.0%, compared to 3.8% in Monett.
Demographics
Demographics Irwin vs Monett provide insight into the diversity of the communities to compare.
| Demographic | Irwin | Monett |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 51 |
| Asian | 1 | 2 |
| Hispanic | 2 | 29 |
| Two or More Races | 2 | 15 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Irwin vs Monett
- The percentage of Black residents is the same in both Irwin and Monett at 0%.
- Irwin has a higher percentage of White residents at 95% compared to 51% in Monett.
- In Monett, the Asian population stands at 2%, greater than 1% in Irwin.
- Monett has a higher percentage of Hispanic residents at 29%, compared to 2% in Irwin.
- The percentage of residents identifying as two or more races is higher in Monett at 15%, compared to 2% in Irwin.
- In Monett, the percentage of American Indian residents is higher at 3%, compared to 0% in Irwin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Irwin | Monett |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.9% |
| Physical Health Not Good | Data is updating% | 14.4% |
| Depression | Data is updating% | 25.3% |
| Smoking | Data is updating% | 22.8% |
| Binge Drinking | Data is updating% | 16.5% |
| Obesity | Data is updating% | 41.0% |
| Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Irwin vs Monett
- In Monett, a higher percentage report poor mental health at 18.9% compared to 0.0% in Irwin.
- Higher depression rates are seen in Monett at 25.3% versus 0.0% in Irwin.
- Monett has a higher smoking rate at 22.8% compared to 0.0% in Irwin.
- More residents engage in binge drinking in Monett at 16.5% compared to 0.0% in Irwin.
- Monett has higher obesity rates at 41.0% compared to 0.0% in Irwin.
- There is a higher percentage of disabled individuals in Monett at 13.0% compared to 0.0% in Irwin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Irwin | Monett |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (97) |
| High School Diploma | 0.0% (Data is updating) | 20.5% (2,003) |
| Less than High School | 0.0% (Data is updating) | 20.0% (1,953) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 8.4% (822) |
Education Levels Comparison: Irwin vs Monett
- In Monett, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Irwin.
- In Monett, the rate of residents with high school diplomas is higher at 20.5% compared to 0.0% in Irwin.
- The percentage of residents with less than a high school education is higher in Monett at 20.0%, compared to 0.0% in Irwin.
- In Monett, a larger share of residents have a bachelor's degree or higher at 8.4% compared to 0.0% in Irwin.
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.