Demographics details for Mountain home, ID vs Milroy, PA
Population Overview
Compare main population characteristics in Mountain home, ID vs Milroy, PA.
Data | Mountain home | Milroy |
---|---|---|
Population | 16,469 | 1,556 |
Median Age | 31.3 years | 44.6 years |
Median Income | $53,108 | $60,875 |
Married Families | 36.0% | 42.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 3.1 | 3.2 |
Population Comparison: Mountain home vs Milroy
- In Mountain home, the population is higher at 16,469, compared to 1,556 in Milroy.
- The median age in Milroy is higher at 44.6 years, compared to 31.3 years in Mountain home.
- Milroy has a higher median income of $60,875, compared to $53,108 in Mountain home.
- In Milroy, the percentage of married families is higher at 42.0%, compared to 36.0% in Mountain home.
- Mountain home has a higher poverty level at 12% compared to 6% in Milroy.
- Milroy has a higher unemployment rate at 3.2% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Milroy provide insight into the diversity of the communities to compare.
Demographic | Mountain home | Milroy |
---|---|---|
Black | 2 | Data is updating |
White | 69 | 88 |
Asian | 4 | Data is updating |
Hispanic | 14 | 4 |
Two or More Races | 9 | 8 |
American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Milroy
- A higher percentage of Black residents are in Mountain home at 2% compared to 0% in Milroy.
- The percentage of White residents is higher in Milroy at 88% compared to 69% in Mountain home.
- The Asian population is larger in Mountain home at 4% compared to 0% in Milroy.
- The Hispanic community is larger in Mountain home at 14% compared to 4% in Milroy.
- More residents identify as two or more races in Mountain home at 9% compared to 8% in Milroy.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Milroy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain home | Milroy |
---|---|---|
Mental Health Not Good | 16.9% | 18.6% |
Physical Health Not Good | 12.6% | 13.3% |
Depression | 22.4% | 25.1% |
Smoking | 18.3% | 23.5% |
Binge Drinking | 15.8% | 18.1% |
Obesity | 36.1% | 35.1% |
Disability Percentage | 18.0% | 11.0% |
Health Statistics Comparison: Mountain home vs Milroy
- In Milroy, a higher percentage report poor mental health at 18.6% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Milroy at 25.1% versus 22.4% in Mountain home.
- Milroy has a higher smoking rate at 23.5% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Milroy at 18.1% compared to 15.8% in Mountain home.
- Obesity rates are higher in Mountain home at 36.1% compared to 35.1% in Milroy.
- Disability percentages are higher in Mountain home at 18.0% compared to 11.0% in Milroy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain home | Milroy |
---|---|---|
No Schooling | 1.7% (273) | 0.8% (12) |
High School Diploma | 16.3% (2,690) | 34.2% (532) |
Less than High School | 12.8% (2,116) | 8.5% (132) |
Bachelor's Degree and Higher | 10.4% (1,720) | 11.4% (177) |
Education Levels Comparison: Mountain home vs Milroy
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.8% in Milroy.
- In Milroy, the rate of residents with high school diplomas is higher at 34.2% compared to 16.3% in Mountain home.
- More residents in Mountain home have less than a high school education at 12.8% compared to 8.5% in Milroy.
- In Milroy, a larger share of residents have a bachelor's degree or higher at 11.4% 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.