Demographics details for Bloomfield, KY vs Mountain home, ID
Population Overview
Compare main population characteristics in Bloomfield, KY vs Mountain home, ID.
| Data | Bloomfield | Mountain home |
|---|---|---|
| Population | 970 | 16,469 |
| Median Age | 52.4 years | 31.3 years |
| Median Income | $44,922 | $53,108 |
| Married Families | 49.0% | 36.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Bloomfield vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 970 in Bloomfield.
- Residents in Bloomfield have a higher median age of 52.4 years compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108, compared to $44,922 in Bloomfield.
- A higher percentage of married families is found in Bloomfield at 49.0% compared to 36.0% in Mountain home.
- The poverty level is higher in Mountain home at 12%, compared to 10% in Bloomfield.
- The unemployment rate in Bloomfield is higher at 4.5%, compared to 3.1% in Mountain home.
Demographics
Demographics Bloomfield vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Bloomfield | Mountain home |
|---|---|---|
| Black | 2 | 2 |
| White | 94 | 69 |
| Asian | Data is updating | 4 |
| Hispanic | 1 | 14 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Bloomfield vs Mountain home
- The percentage of Black residents is the same in both Bloomfield and Mountain home at 2%.
- Bloomfield has a higher percentage of White residents at 94% compared to 69% in Mountain home.
- In Mountain home, the Asian population stands at 4%, greater than 0% in Bloomfield.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 1% in Bloomfield.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 3% in Bloomfield.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Bloomfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bloomfield | Mountain home |
|---|---|---|
| Mental Health Not Good | 19.3% | 16.9% |
| Physical Health Not Good | 14.0% | 12.6% |
| Depression | 27.4% | 22.4% |
| Smoking | 22.2% | 18.3% |
| Binge Drinking | 15.6% | 15.8% |
| Obesity | 38.5% | 36.1% |
| Disability Percentage | 29.0% | 18.0% |
Health Statistics Comparison: Bloomfield vs Mountain home
- More residents in Bloomfield report poor mental health at 19.3% compared to 16.9% in Mountain home.
- Depression is more prevalent in Bloomfield at 27.4% compared to 22.4% in Mountain home.
- Smoking is more prevalent in Bloomfield at 22.2% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Mountain home at 15.8% compared to 15.6% in Bloomfield.
- Obesity rates are higher in Bloomfield at 38.5% compared to 36.1% in Mountain home.
- Disability percentages are higher in Bloomfield at 29.0% compared to 18.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bloomfield | Mountain home |
|---|---|---|
| No Schooling | 0.5% (5) | 1.7% (273) |
| High School Diploma | 19.7% (191) | 16.3% (2,690) |
| Less than High School | 14.2% (138) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 19.3% (187) | 10.4% (1,720) |
Education Levels Comparison: Bloomfield vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Bloomfield.
- A higher percentage of residents in Bloomfield hold a high school diploma at 19.7% compared to 16.3% in Mountain home.
- More residents in Bloomfield have less than a high school education at 14.2% compared to 12.8% in Mountain home.
- A higher percentage of residents in Bloomfield hold a bachelor's degree or higher at 19.3% 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.