Demographics details for Mountain home, ID vs Byron, IL
Population Overview
Compare main population characteristics in Mountain home, ID vs Byron, IL.
| Data | Mountain home | Byron |
|---|---|---|
| Population | 16,469 | 3,768 |
| Median Age | 31.3 years | 35.9 years |
| Median Income | $53,108 | $76,212 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.1 | 4.0 |
Population Comparison: Mountain home vs Byron
- In Mountain home, the population is higher at 16,469, compared to 3,768 in Byron.
- The median age in Byron is higher at 35.9 years, compared to 31.3 years in Mountain home.
- Byron has a higher median income of $76,212, compared to $53,108 in Mountain home.
- The percentage of married families is the same in both Mountain home and Byron at 36.0%.
- Mountain home has a higher poverty level at 12% compared to 5% in Byron.
- Byron has a higher unemployment rate at 4.0% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Byron provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Byron |
|---|---|---|
| Black | 2 | Data is updating |
| White | 69 | 79 |
| Asian | 4 | Data is updating |
| Hispanic | 14 | 9 |
| Two or More Races | 9 | 11 |
| American Indian | 2 | 1 |
Demographics Comparison: Mountain home vs Byron
- A higher percentage of Black residents are in Mountain home at 2% compared to 0% in Byron.
- The percentage of White residents is higher in Byron at 79% compared to 69% in Mountain home.
- The Asian population is larger in Mountain home at 4% compared to 0% in Byron.
- The Hispanic community is larger in Mountain home at 14% compared to 9% in Byron.
- The percentage of residents identifying as two or more races is higher in Byron at 11%, compared to 9% in Mountain home.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 1% in Byron.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Byron |
|---|---|---|
| Mental Health Not Good | 16.9% | 15.3% |
| Physical Health Not Good | 12.6% | 9.6% |
| Depression | 22.4% | 21.1% |
| Smoking | 18.3% | 14.6% |
| Binge Drinking | 15.8% | 19.1% |
| Obesity | 36.1% | 32.4% |
| Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Mountain home vs Byron
- More residents in Mountain home report poor mental health at 16.9% compared to 15.3% in Byron.
- Depression is more prevalent in Mountain home at 22.4% compared to 21.1% in Byron.
- Smoking is more prevalent in Mountain home at 18.3% compared to 14.6% in Byron.
- More residents engage in binge drinking in Byron at 19.1% compared to 15.8% in Mountain home.
- Obesity rates are higher in Mountain home at 36.1% compared to 32.4% in Byron.
- Disability percentages are higher in Mountain home at 18.0% compared to 12.0% in Byron.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Byron |
|---|---|---|
| No Schooling | 1.7% (273) | 0.1% (5) |
| High School Diploma | 16.3% (2,690) | 14.1% (531) |
| Less than High School | 12.8% (2,116) | 4.6% (174) |
| Bachelor's Degree and Higher | 10.4% (1,720) | 21.0% (793) |
Education Levels Comparison: Mountain home vs Byron
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.1% in Byron.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 14.1% in Byron.
- More residents in Mountain home have less than a high school education at 12.8% compared to 4.6% in Byron.
- In Byron, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 10.4% in Mountain home.
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.