Demographics details for Taylorville, IL vs Mount orab, OH
Population Overview
Compare main population characteristics in Taylorville, IL vs Mount orab, OH.
Data | Taylorville | Mount orab |
---|---|---|
Population | 10,312 | 4,337 |
Median Age | 38.2 years | 30.4 years |
Median Income | $49,471 | $62,833 |
Married Families | 35.0% | 37.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Taylorville vs Mount orab
- In Taylorville, the population is higher at 10,312, compared to 4,337 in Mount orab.
- Residents in Taylorville have a higher median age of 38.2 years compared to 30.4 years in Mount orab.
- Mount orab has a higher median income of $62,833, compared to $49,471 in Taylorville.
- In Mount orab, the percentage of married families is higher at 37.0%, compared to 35.0% in Taylorville.
- The poverty level is identical in both Taylorville and Mount orab at 10%.
- Mount orab has a higher unemployment rate at 4.5% compared to 3.5% in Taylorville.
Demographics
Demographics Taylorville vs Mount orab provide insight into the diversity of the communities to compare.
Demographic | Taylorville | Mount orab |
---|---|---|
Black | 6 | 1 |
White | 91 | 98 |
Asian | 2 | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 1 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Taylorville vs Mount orab
- A higher percentage of Black residents are in Taylorville at 6% compared to 1% in Mount orab.
- The percentage of White residents is higher in Mount orab at 98% compared to 91% in Taylorville.
- The Asian population is larger in Taylorville at 2% compared to 0% in Mount orab.
- The percentage of Hispanic residents is the same in both Taylorville and Mount orab at 0%.
- Both Taylorville and Mount orab have the same percentage of residents identifying as two or more races at 1%.
- The percentage of American Indian residents is the same in both Taylorville and Mount orab at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Taylorville | Mount orab |
---|---|---|
Mental Health Not Good | 17.9% | 18.3% |
Physical Health Not Good | 12.6% | 12.8% |
Depression | 22.9% | 25.7% |
Smoking | 20.7% | 22.9% |
Binge Drinking | 17.2% | 18.6% |
Obesity | 39.7% | 42.0% |
Disability Percentage | 16.0% | 16.0% |
Health Statistics Comparison: Taylorville vs Mount orab
- In Mount orab, a higher percentage report poor mental health at 18.3% compared to 17.9% in Taylorville.
- Higher depression rates are seen in Mount orab at 25.7% versus 22.9% in Taylorville.
- Mount orab has a higher smoking rate at 22.9% compared to 20.7% in Taylorville.
- More residents engage in binge drinking in Mount orab at 18.6% compared to 17.2% in Taylorville.
- Mount orab has higher obesity rates at 42.0% compared to 39.7% in Taylorville.
- Disability percentages are the same in both Taylorville and Mount orab at 16.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Taylorville | Mount orab |
---|---|---|
No Schooling | 0.6% (63) | 0.8% (36) |
High School Diploma | 28.5% (2,938) | 23.9% (1,037) |
Less than High School | 9.1% (938) | 25.7% (1,116) |
Bachelor's Degree and Higher | 13.6% (1,406) | 11.0% (479) |
Education Levels Comparison: Taylorville vs Mount orab
- In Mount orab, a larger percentage of residents lack formal schooling at 0.8% compared to 0.6% in Taylorville.
- A higher percentage of residents in Taylorville hold a high school diploma at 28.5% compared to 23.9% in Mount orab.
- The percentage of residents with less than a high school education is higher in Mount orab at 25.7%, compared to 9.1% in Taylorville.
- A higher percentage of residents in Taylorville hold a bachelor's degree or higher at 13.6% compared to 11.0% in Mount orab.
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.