Demographics details for La grande, OR vs Mountain home, ID
Population Overview
Compare main population characteristics in La grande, OR vs Mountain home, ID.
Data | La grande | Mountain home |
---|---|---|
Population | 13,106 | 16,469 |
Median Age | 33.1 years | 31.3 years |
Median Income | $52,039 | $53,108 |
Married Families | 33.0% | 36.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 4.5 | 3.1 |
Population Comparison: La grande vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 13,106 in La grande.
- Residents in La grande have a higher median age of 33.1 years compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108, compared to $52,039 in La grande.
- In Mountain home, the percentage of married families is higher at 36.0%, compared to 33.0% in La grande.
- The poverty level is higher in Mountain home at 12%, compared to 11% in La grande.
- The unemployment rate in La grande is higher at 4.5%, compared to 3.1% in Mountain home.
Demographics
Demographics La grande vs Mountain home provide insight into the diversity of the communities to compare.
Demographic | La grande | Mountain home |
---|---|---|
Black | 1 | 2 |
White | 86 | 69 |
Asian | 2 | 4 |
Hispanic | 6 | 14 |
Two or More Races | 4 | 9 |
American Indian | 1 | 2 |
Demographics Comparison: La grande vs Mountain home
- In Mountain home, the percentage of Black residents is higher at 2% compared to 1% in La grande.
- La grande has a higher percentage of White residents at 86% compared to 69% in Mountain home.
- In Mountain home, the Asian population stands at 4%, greater than 2% in La grande.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 6% in La grande.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 4% in La grande.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 1% in La grande.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | La grande | Mountain home |
---|---|---|
Mental Health Not Good | 19.0% | 16.9% |
Physical Health Not Good | 11.9% | 12.6% |
Depression | 28.4% | 22.4% |
Smoking | 17.2% | 18.3% |
Binge Drinking | 17.6% | 15.8% |
Obesity | 35.7% | 36.1% |
Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: La grande vs Mountain home
- More residents in La grande report poor mental health at 19.0% compared to 16.9% in Mountain home.
- Depression is more prevalent in La grande at 28.4% compared to 22.4% in Mountain home.
- Mountain home has a higher smoking rate at 18.3% compared to 17.2% in La grande.
- Binge drinking is more common in La grande at 17.6% compared to 15.8% in Mountain home.
- Mountain home has higher obesity rates at 36.1% compared to 35.7% in La grande.
- Disability percentages are the same in both La grande and Mountain home at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | La grande | Mountain home |
---|---|---|
No Schooling | 0.4% (56) | 1.7% (273) |
High School Diploma | 17.1% (2,244) | 16.3% (2,690) |
Less than High School | 6.8% (897) | 12.8% (2,116) |
Bachelor's Degree and Higher | 14.0% (1,841) | 10.4% (1,720) |
Education Levels Comparison: La grande vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.4% in La grande.
- A higher percentage of residents in La grande hold a high school diploma at 17.1% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 6.8% in La grande.
- A higher percentage of residents in La grande hold a bachelor's degree or higher at 14.0% 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.