Demographics details for South haven, MI vs Patoka, IL
Population Overview
Compare main population characteristics in South haven, MI vs Patoka, IL.
| Data | South haven | Patoka |
|---|---|---|
| Population | 3,988 | 512 |
| Median Age | 61.0 years | 39.2 years |
| Median Income | $63,202 | $69,091 |
| Married Families | 50.0% | 54.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: South haven vs Patoka
- In South haven, the population is higher at 3,988, compared to 512 in Patoka.
- Residents in South haven have a higher median age of 61.0 years compared to 39.2 years in Patoka.
- Patoka has a higher median income of $69,091, compared to $63,202 in South haven.
- In Patoka, the percentage of married families is higher at 54.0%, compared to 50.0% in South haven.
- South haven has a higher poverty level at 12% compared to 10% in Patoka.
- Patoka has a higher unemployment rate at 5.0% compared to 3.5% in South haven.
Demographics
Demographics South haven vs Patoka provide insight into the diversity of the communities to compare.
| Demographic | South haven | Patoka |
|---|---|---|
| Black | 11 | Data is updating |
| White | 74 | 98 |
| Asian | 1 | 1 |
| Hispanic | 6 | Data is updating |
| Two or More Races | 7 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: South haven vs Patoka
- A higher percentage of Black residents are in South haven at 11% compared to 0% in Patoka.
- The percentage of White residents is higher in Patoka at 98% compared to 74% in South haven.
- Both South haven and Patoka have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in South haven at 6% compared to 0% in Patoka.
- More residents identify as two or more races in South haven at 7% compared to 1% in Patoka.
- A greater percentage of American Indian residents live in South haven at 1% compared to 0% in Patoka.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South haven | Patoka |
|---|---|---|
| Mental Health Not Good | 16.4% | 16.8% |
| Physical Health Not Good | 10.3% | 11.2% |
| Depression | 24.3% | 23.2% |
| Smoking | 16.4% | 17.8% |
| Binge Drinking | 18.0% | 18.6% |
| Obesity | 35.6% | 37.4% |
| Disability Percentage | 18.0% | 21.0% |
Health Statistics Comparison: South haven vs Patoka
- In Patoka, a higher percentage report poor mental health at 16.8% compared to 16.4% in South haven.
- Depression is more prevalent in South haven at 24.3% compared to 23.2% in Patoka.
- Patoka has a higher smoking rate at 17.8% compared to 16.4% in South haven.
- More residents engage in binge drinking in Patoka at 18.6% compared to 18.0% in South haven.
- Patoka has higher obesity rates at 37.4% compared to 35.6% in South haven.
- There is a higher percentage of disabled individuals in Patoka at 21.0% compared to 18.0% in South haven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South haven | Patoka |
|---|---|---|
| No Schooling | 1.2% (48) | 0.6% (3) |
| High School Diploma | 16.0% (638) | 32.8% (168) |
| Less than High School | 11.5% (457) | 6.6% (34) |
| Bachelor's Degree and Higher | 32.1% (1,279) | 11.1% (57) |
Education Levels Comparison: South haven vs Patoka
- A higher percentage of residents in South haven have no formal schooling at 1.2% compared to 0.6% in Patoka.
- In Patoka, the rate of residents with high school diplomas is higher at 32.8% compared to 16.0% in South haven.
- More residents in South haven have less than a high school education at 11.5% compared to 6.6% in Patoka.
- A higher percentage of residents in South haven hold a bachelor's degree or higher at 32.1% compared to 11.1% in Patoka.
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.