Demographics details for Okauchee, WI vs Monroe city, MO
Population Overview
Compare main population characteristics in Okauchee, WI vs Monroe city, MO.
| Data | Okauchee | Monroe city |
|---|---|---|
| Population | 4,690 | 2,650 |
| Median Age | 50.8 years | 40.1 years |
| Median Income | $128,785 | $50,885 |
| Married Families | 62.0% | 42.0% |
| Poverty Level | 2% | 13% |
| Unemployment Rate | 3.1 | 3.2 |
Population Comparison: Okauchee vs Monroe city
- In Okauchee, the population is higher at 4,690, compared to 2,650 in Monroe city.
- Residents in Okauchee have a higher median age of 50.8 years compared to 40.1 years in Monroe city.
- Okauchee has a higher median income of $128,785 compared to $50,885 in Monroe city.
- A higher percentage of married families is found in Okauchee at 62.0% compared to 42.0% in Monroe city.
- The poverty level is higher in Monroe city at 13%, compared to 2% in Okauchee.
- Monroe city has a higher unemployment rate at 3.2% compared to 3.1% in Okauchee.
Demographics
Demographics Okauchee vs Monroe city provide insight into the diversity of the communities to compare.
| Demographic | Okauchee | Monroe city |
|---|---|---|
| Black | 1 | 11 |
| White | 93 | 79 |
| Asian | 1 | 2 |
| Hispanic | 2 | 1 |
| Two or More Races | 2 | 5 |
| American Indian | 1 | 2 |
Demographics Comparison: Okauchee vs Monroe city
- In Monroe city, the percentage of Black residents is higher at 11% compared to 1% in Okauchee.
- Okauchee has a higher percentage of White residents at 93% compared to 79% in Monroe city.
- In Monroe city, the Asian population stands at 2%, greater than 1% in Okauchee.
- The Hispanic community is larger in Okauchee at 2% compared to 1% in Monroe city.
- The percentage of residents identifying as two or more races is higher in Monroe city at 5%, compared to 2% in Okauchee.
- In Monroe city, the percentage of American Indian residents is higher at 2%, compared to 1% in Okauchee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Okauchee | Monroe city |
|---|---|---|
| Mental Health Not Good | 12.3% | 18.6% |
| Physical Health Not Good | 7.3% | 13.1% |
| Depression | 20.0% | 25.7% |
| Smoking | 11.0% | 22.3% |
| Binge Drinking | 26.0% | 17.7% |
| Obesity | 33.2% | 41.5% |
| Disability Percentage | 6.0% | 21.0% |
Health Statistics Comparison: Okauchee vs Monroe city
- In Monroe city, a higher percentage report poor mental health at 18.6% compared to 12.3% in Okauchee.
- Higher depression rates are seen in Monroe city at 25.7% versus 20.0% in Okauchee.
- Monroe city has a higher smoking rate at 22.3% compared to 11.0% in Okauchee.
- Binge drinking is more common in Okauchee at 26.0% compared to 17.7% in Monroe city.
- Monroe city has higher obesity rates at 41.5% compared to 33.2% in Okauchee.
- There is a higher percentage of disabled individuals in Monroe city at 21.0% compared to 6.0% in Okauchee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Okauchee | Monroe city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (13) |
| High School Diploma | 15.1% (708) | 33.2% (880) |
| Less than High School | 1.8% (84) | 20.6% (545) |
| Bachelor's Degree and Higher | 36.0% (1,687) | 12.2% (323) |
Education Levels Comparison: Okauchee vs Monroe city
- In Monroe city, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Okauchee.
- In Monroe city, the rate of residents with high school diplomas is higher at 33.2% compared to 15.1% in Okauchee.
- The percentage of residents with less than a high school education is higher in Monroe city at 20.6%, compared to 1.8% in Okauchee.
- A higher percentage of residents in Okauchee hold a bachelor's degree or higher at 36.0% compared to 12.2% in Monroe 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.