Demographics details for Millersburg, OH vs Isabella, OK
Population Overview
Compare main population characteristics in Millersburg, OH vs Isabella, OK.
Data | Millersburg | Isabella |
---|---|---|
Population | 3,180 | 86 |
Median Age | 38.2 years | 28.6 years |
Median Income | $48,913 | $56,550 |
Married Families | 40.0% | 42.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Millersburg vs Isabella
- In Millersburg, the population is higher at 3,180, compared to 86 in Isabella.
- Residents in Millersburg have a higher median age of 38.2 years compared to 28.6 years in Isabella.
- Isabella has a higher median income of $56,550, compared to $48,913 in Millersburg.
- In Isabella, the percentage of married families is higher at 42.0%, compared to 40.0% in Millersburg.
- The poverty level is identical in both Millersburg and Isabella at 10%.
- The unemployment rate in Millersburg is higher at 4.5%, compared to 2.5% in Isabella.
Demographics
Demographics Millersburg vs Isabella provide insight into the diversity of the communities to compare.
Demographic | Millersburg | Isabella |
---|---|---|
Black | 1 | Data is updating |
White | 95 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | 14 |
Demographics Comparison: Millersburg vs Isabella
- A higher percentage of Black residents are in Millersburg at 1% compared to 0% in Isabella.
- Millersburg has a higher percentage of White residents at 95% compared to 86% in Isabella.
- Both Millersburg and Isabella have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Millersburg and Isabella at 0%.
- More residents identify as two or more races in Millersburg at 4% compared to 0% in Isabella.
- In Isabella, the percentage of American Indian residents is higher at 14%, compared to 0% in Millersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Millersburg | Isabella |
---|---|---|
Mental Health Not Good | 18.5% | 17.1% |
Physical Health Not Good | 12.5% | 11.9% |
Depression | 24.9% | 23.6% |
Smoking | 22.4% | 19.0% |
Binge Drinking | 18.0% | 16.1% |
Obesity | 39.2% | 42.6% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Millersburg vs Isabella
- More residents in Millersburg report poor mental health at 18.5% compared to 17.1% in Isabella.
- Depression is more prevalent in Millersburg at 24.9% compared to 23.6% in Isabella.
- Smoking is more prevalent in Millersburg at 22.4% compared to 19.0% in Isabella.
- Binge drinking is more common in Millersburg at 18.0% compared to 16.1% in Isabella.
- Isabella has higher obesity rates at 42.6% compared to 39.2% in Millersburg.
- Disability percentages are higher in Millersburg at 13.0% compared to 0.0% in Isabella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Millersburg | Isabella |
---|---|---|
No Schooling | 1.4% (46) | 0.0% (Data is updating) |
High School Diploma | 25.2% (801) | 44.2% (38) |
Less than High School | 27.2% (864) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 20.3% (644) | 16.3% (14) |
Education Levels Comparison: Millersburg vs Isabella
- A higher percentage of residents in Millersburg have no formal schooling at 1.4% compared to 0.0% in Isabella.
- In Isabella, the rate of residents with high school diplomas is higher at 44.2% compared to 25.2% in Millersburg.
- More residents in Millersburg have less than a high school education at 27.2% compared to 0.0% in Isabella.
- A higher percentage of residents in Millersburg hold a bachelor's degree or higher at 20.3% compared to 16.3% in Isabella.
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.