Demographics details for West liberty, OH vs Patoka, IL
Population Overview
Compare main population characteristics in West liberty, OH vs Patoka, IL.
Data | West liberty | Patoka |
---|---|---|
Population | 1,759 | 512 |
Median Age | 41.8 years | 39.2 years |
Median Income | $58,417 | $69,091 |
Married Families | 43.0% | 54.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.3 | 5.0 |
Population Comparison: West liberty vs Patoka
- In West liberty, the population is higher at 1,759, compared to 512 in Patoka.
- Residents in West liberty have a higher median age of 41.8 years compared to 39.2 years in Patoka.
- Patoka has a higher median income of $69,091, compared to $58,417 in West liberty.
- In Patoka, the percentage of married families is higher at 54.0%, compared to 43.0% in West liberty.
- The poverty level is identical in both West liberty and Patoka at 10%.
- Patoka has a higher unemployment rate at 5.0% compared to 4.3% in West liberty.
Demographics
Demographics West liberty vs Patoka provide insight into the diversity of the communities to compare.
Demographic | West liberty | Patoka |
---|---|---|
Black | Data is updating | Data is updating |
White | 93 | 98 |
Asian | Data is updating | 1 |
Hispanic | 5 | Data is updating |
Two or More Races | 2 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: West liberty vs Patoka
- The percentage of Black residents is the same in both West liberty and Patoka at 0%.
- The percentage of White residents is higher in Patoka at 98% compared to 93% in West liberty.
- In Patoka, the Asian population stands at 1%, greater than 0% in West liberty.
- The Hispanic community is larger in West liberty at 5% compared to 0% in Patoka.
- More residents identify as two or more races in West liberty at 2% compared to 1% in Patoka.
- The percentage of American Indian residents is the same in both West liberty and Patoka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West liberty | Patoka |
---|---|---|
Mental Health Not Good | 16.9% | 16.8% |
Physical Health Not Good | 10.6% | 11.2% |
Depression | 24.6% | 23.2% |
Smoking | 18.6% | 17.8% |
Binge Drinking | 19.2% | 18.6% |
Obesity | 37.9% | 37.4% |
Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: West liberty vs Patoka
- More residents in West liberty report poor mental health at 16.9% compared to 16.8% in Patoka.
- Depression is more prevalent in West liberty at 24.6% compared to 23.2% in Patoka.
- Smoking is more prevalent in West liberty at 18.6% compared to 17.8% in Patoka.
- Binge drinking is more common in West liberty at 19.2% compared to 18.6% in Patoka.
- Obesity rates are higher in West liberty at 37.9% compared to 37.4% in Patoka.
- There is a higher percentage of disabled individuals in Patoka at 21.0% compared to 16.0% in West liberty.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West liberty | Patoka |
---|---|---|
No Schooling | 0.7% (13) | 0.6% (3) |
High School Diploma | 25.7% (452) | 32.8% (168) |
Less than High School | 3.8% (67) | 6.6% (34) |
Bachelor's Degree and Higher | 12.5% (219) | 11.1% (57) |
Education Levels Comparison: West liberty vs Patoka
- A higher percentage of residents in West liberty have no formal schooling at 0.7% compared to 0.6% in Patoka.
- In Patoka, the rate of residents with high school diplomas is higher at 32.8% compared to 25.7% in West liberty.
- The percentage of residents with less than a high school education is higher in Patoka at 6.6%, compared to 3.8% in West liberty.
- A higher percentage of residents in West liberty hold a bachelor's degree or higher at 12.5% 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.