Demographics details for Phillipsburg, OH vs Okawville, IL
Population Overview
Compare main population characteristics in Phillipsburg, OH vs Okawville, IL.
Data | Phillipsburg | Okawville |
---|---|---|
Population | 496 | 1,357 |
Median Age | 33.6 years | 43.6 years |
Median Income | $56,250 | $78,950 |
Married Families | 31.0% | 52.0% |
Poverty Level | 8% | Data is updating |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Phillipsburg vs Okawville
- The population in Okawville is higher at 1,357, compared to 496 in Phillipsburg.
- The median age in Okawville is higher at 43.6 years, compared to 33.6 years in Phillipsburg.
- Okawville has a higher median income of $78,950, compared to $56,250 in Phillipsburg.
- In Okawville, the percentage of married families is higher at 52.0%, compared to 31.0% in Phillipsburg.
- Phillipsburg has a higher poverty level at 8% compared to 0% in Okawville.
- Okawville has a higher unemployment rate at 4.2% compared to 3.5% in Phillipsburg.
Demographics
Demographics Phillipsburg vs Okawville provide insight into the diversity of the communities to compare.
Demographic | Phillipsburg | Okawville |
---|---|---|
Black | Data is updating | 1 |
White | 96 | 94 |
Asian | Data is updating | 1 |
Hispanic | 4 | 3 |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Phillipsburg vs Okawville
- In Okawville, the percentage of Black residents is higher at 1% compared to 0% in Phillipsburg.
- Phillipsburg has a higher percentage of White residents at 96% compared to 94% in Okawville.
- In Okawville, the Asian population stands at 1%, greater than 0% in Phillipsburg.
- The Hispanic community is larger in Phillipsburg at 4% compared to 3% in Okawville.
- The percentage of residents identifying as two or more races is higher in Okawville at 1%, compared to 0% in Phillipsburg.
- The percentage of American Indian residents is the same in both Phillipsburg and Okawville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Phillipsburg | Okawville |
---|---|---|
Mental Health Not Good | 18.4% | 15.1% |
Physical Health Not Good | 11.9% | 9.5% |
Depression | 26.6% | 21.3% |
Smoking | 19.1% | 14.8% |
Binge Drinking | 19.6% | 19.4% |
Obesity | 38.2% | 34.1% |
Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Phillipsburg vs Okawville
- More residents in Phillipsburg report poor mental health at 18.4% compared to 15.1% in Okawville.
- Depression is more prevalent in Phillipsburg at 26.6% compared to 21.3% in Okawville.
- Smoking is more prevalent in Phillipsburg at 19.1% compared to 14.8% in Okawville.
- Binge drinking is more common in Phillipsburg at 19.6% compared to 19.4% in Okawville.
- Obesity rates are higher in Phillipsburg at 38.2% compared to 34.1% in Okawville.
- Disability percentages are the same in both Phillipsburg and Okawville at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Phillipsburg | Okawville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.8% (24) |
High School Diploma | 16.9% (84) | 17.8% (241) |
Less than High School | 10.1% (50) | 13.6% (184) |
Bachelor's Degree and Higher | 9.1% (45) | 23.5% (319) |
Education Levels Comparison: Phillipsburg vs Okawville
- In Okawville, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Phillipsburg.
- In Okawville, the rate of residents with high school diplomas is higher at 17.8% compared to 16.9% in Phillipsburg.
- The percentage of residents with less than a high school education is higher in Okawville at 13.6%, compared to 10.1% in Phillipsburg.
- In Okawville, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 9.1% in Phillipsburg.
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.