Demographics details for Cottonwood, ID vs Millersburg, OH
Population Overview
Compare main population characteristics in Cottonwood, ID vs Millersburg, OH.
Data | Cottonwood | Millersburg |
---|---|---|
Population | 876 | 3,180 |
Median Age | 33.1 years | 38.2 years |
Median Income | $55,147 | $48,913 |
Married Families | 56.0% | 40.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Cottonwood vs Millersburg
- The population in Millersburg is higher at 3,180, compared to 876 in Cottonwood.
- The median age in Millersburg is higher at 38.2 years, compared to 33.1 years in Cottonwood.
- Cottonwood has a higher median income of $55,147 compared to $48,913 in Millersburg.
- A higher percentage of married families is found in Cottonwood at 56.0% compared to 40.0% in Millersburg.
- The poverty level is higher in Millersburg at 10%, compared to 0% in Cottonwood.
- Millersburg has a higher unemployment rate at 4.5% compared to 2.5% in Cottonwood.
Demographics
Demographics Cottonwood vs Millersburg provide insight into the diversity of the communities to compare.
Demographic | Cottonwood | Millersburg |
---|---|---|
Black | Data is updating | 1 |
White | 92 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | Data is updating |
Two or More Races | 6 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Cottonwood vs Millersburg
- In Millersburg, the percentage of Black residents is higher at 1% compared to 0% in Cottonwood.
- The percentage of White residents is higher in Millersburg at 95% compared to 92% in Cottonwood.
- Both Cottonwood and Millersburg have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Cottonwood at 1% compared to 0% in Millersburg.
- More residents identify as two or more races in Cottonwood at 6% compared to 4% in Millersburg.
- A greater percentage of American Indian residents live in Cottonwood at 1% compared to 0% in Millersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cottonwood | Millersburg |
---|---|---|
Mental Health Not Good | 15.8% | 18.5% |
Physical Health Not Good | 11.9% | 12.5% |
Depression | 22.3% | 24.9% |
Smoking | 17.8% | 22.4% |
Binge Drinking | 15.7% | 18.0% |
Obesity | 31.2% | 39.2% |
Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Cottonwood vs Millersburg
- In Millersburg, a higher percentage report poor mental health at 18.5% compared to 15.8% in Cottonwood.
- Higher depression rates are seen in Millersburg at 24.9% versus 22.3% in Cottonwood.
- Millersburg has a higher smoking rate at 22.4% compared to 17.8% in Cottonwood.
- More residents engage in binge drinking in Millersburg at 18.0% compared to 15.7% in Cottonwood.
- Millersburg has higher obesity rates at 39.2% compared to 31.2% in Cottonwood.
- Disability percentages are higher in Cottonwood at 18.0% compared to 13.0% in Millersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cottonwood | Millersburg |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.4% (46) |
High School Diploma | 28.3% (248) | 25.2% (801) |
Less than High School | 19.6% (172) | 27.2% (864) |
Bachelor's Degree and Higher | 20.2% (177) | 20.3% (644) |
Education Levels Comparison: Cottonwood vs Millersburg
- In Millersburg, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Cottonwood.
- A higher percentage of residents in Cottonwood hold a high school diploma at 28.3% compared to 25.2% in Millersburg.
- The percentage of residents with less than a high school education is higher in Millersburg at 27.2%, compared to 19.6% in Cottonwood.
- In Millersburg, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 20.2% in Cottonwood.
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.